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1. Lensing Without Borders. I. A Blind Comparison of the Amplitude of Galaxy-Galaxy Lensing Between Independent Imaging Surveys

Author: Leauthaud, A., Amon, A., Singh, S., Gruen, D., Lange, J. U., Huang, S., Robertson, N. C., Varga, T. N., Luo, Y., Heymans, C., Hildebrandt, H., Blake, C., Aguena, M., Allam, S., Andrade-Oliveira, F., Annis, J., Bertin, E., Bhargava, S., Blazek, J., Bridle, S. L., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Choi, A., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Davis, C., De Vicente, J., DeRose, J., Diehl, H. T., Dietrich, J. P., Doel, P., Eckert, K., Everett, S., Evrard, A. E., Ferrero, I., Flaugher, B., Fosalba, P., Garcia-Bellido, J., Gatti, M., Gaztanaga, E., Gruendl, R. A., Gschwend, J., Hartley, W. G., Hollowood, D. L., Honscheid, K., Jain, B., James, D. J., Jarvis, M., Joachimi, B., Kannawadi, A., Kim, A. G., Krause, E., Kuehn, K., Kuijken, K., Kuropatkin, N., Lima, M., MacCrann, N., Maia, M. A. G., Makler, M., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Miyatake, H., Mohr, J. J., Moraes, B., More, S., Surhud, M., Morgan, R., Myles, J., Ogando, R. L. C., Palmese, A., Paz-Chinchon, F., Malagon, A. A. Plazas, Prat, J., Rau, M. M., Rhodes, J., Rodriguez-Monroy, M., Roodman, A., Ross, A. J., Samuroff, S., Sanchez, C., Sanchez, E., Scarpine, V., Schlegel, D. J., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Sifon, C., Smith, M., Speagle, J. S., Suchyta, E., Tarle, G., Thomas, D., Tinker, J., To, C., Troxel, M. A., Van Waerbeke, L., Vielzeuf, P., and Wright, A. H.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Lensing Without Borders is a cross-survey collaboration created to assess the consistency of galaxy-galaxy lensing signals ($\Delta\Sigma$) across different data-sets and to carry out end-to-end tests of systematic errors. We perform a blind comparison of the amplitude of $\Delta\Sigma$ using lens samples from BOSS and six independent lensing surveys. We find good agreement between empirically estimated and reported systematic errors which agree to better than 2.3$\sigma$ in four lens bins and three radial ranges. For lenses with $z_{\rm L}>0.43$ and considering statistical errors, we detect a 3-4$\sigma$ correlation between lensing amplitude and survey depth. This correlation could arise from the increasing impact at higher redshift of unrecognised galaxy blends on shear calibration and imperfections in photometric redshift calibration. At $z_{\rm L}>0.54$ amplitudes may additionally correlate with foreground stellar density. The amplitude of these trends is within survey-defined systematic error budgets which are designed to include known shear and redshift calibration uncertainty. Using a fully empirical and conservative method, we do not find evidence for large unknown systematics. Systematic errors greater than 15% (25%) ruled out in three lens bins at 68% (95%) confidence at $z<0.54$. Differences with respect to predictions based on clustering are observed to be at the 20-30% level. Our results therefore suggest that lensing systematics alone are unlikely to fully explain the "lensing is low" effect at $z<0.54$. This analysis demonstrates the power of cross-survey comparisons and provides a promising path for identifying and reducing systematics in future lensing analyses., Comment: 41 page, 20 figures
Published: 2021
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2. Cosmic Shear in Harmonic Space from the Dark Energy Survey Year 1 Data: Compatibility with Configuration Space Results

Author: Camacho, H., Andrade-Oliveira, F., Troja, A., Rosenfeld, R., Faga, L., Gomes, R., Doux, C., Fang, X., Lima, M., Miranda, V., Eifler, T. F., Friedrich, O., Gatti, M., Bernstein, G. M., Blazek, J., Bridle, S. L., Choi, A., Davis, C., DeRose, J., Gaztanaga, E., Gruen, D., Hartley, W. G., Hoyle, B., Jarvis, M., MacCrann, N., Prat, J., Rau, M. M., Samuroff, S., Sánchez, C., Sheldon, E., Troxel, M. A., Vielzeuf, P., Zuntz, J., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Evrard, A. E., Ferrero, I., Flaugher, B., Fosalba, P., Friedel, D., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., Maia, M. A. G., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Morgan, R., Paz-Chinchón, F., Petravick, D., Pieres, A., Malagón, A. A. Plazas, Reil, K., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Varga, T. N., Weller, J., and Wilkinson, R. D.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We perform a cosmic shear analysis in harmonic space using the first year of data collected by the Dark Energy Survey (DES-Y1). We measure the cosmic weak lensing shear power spectra using the Metacalibration catalogue and perform a likelihood analysis within the framework of CosmoSIS. We set scale cuts based on baryonic effects contamination and model redshift and shear calibration uncertainties as well as intrinsic alignments. We adopt as fiducial covariance matrix an analytical computation accounting for the mask geometry in the Gaussian term, including non-Gaussian contributions. A suite of 1200 lognormal simulations is used to validate the harmonic space pipeline and the covariance matrix. We perform a series of stress tests to gauge the robustness of the harmonic space analysis. Finally, we use the DES-Y1 pipeline in configuration space to perform a similar likelihood analysis and compare both results, demonstrating their compatibility in estimating the cosmological parameters $S_8$, $\sigma_8$ and $\Omega_m$. The methods implemented and validated in this paper will allow us to perform a consistent harmonic space analysis in the upcoming DES data., Comment: 16 pages, 11 figures. This version matches the published one
Published: 2021
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3. Probing gravity with the DES-CMASS sample and BOSS spectroscopy

Author: Lee, S., Huff, E. M., Choi, A., Elvin-Poole, J., Hirata, C., Honscheid, K., MacCrann, N., Ross, A. J., Troxel, M. A., Eifler, T. F., Kong, H., Ferté, A., Blazek, J., Huterer, D., Amara, A., Campos, A., Chen, A., Dodelson, S., Lemos, P., Leonard, C. D., Miranda, V., Muir, J., Raveri, M., Secco, L. F., Weaverdyck, N., Zuntz, J., Bridle, S. L., Davis, C., DeRose, J., Gatti, M., Prat, J., Rau, M. M., Samuroff, S., Sánchez, C., Vielzeuf, P., Aguena, M., Allam, S., Amon, A., Andrade-Oliveira, F., Bernstein, G. M., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Conselice, C., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Everett, S., Evrard, A. E., Ferrero, I., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Hoyle, B., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Menanteau, F., Miquel, R., Mohr, J. J., Morgan, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Roodman, A., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Sheldon, E., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Varga, T. N., and Weller, J.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The DES-CMASS sample (DMASS) is designed to optimally combine the weak lensing measurements from the Dark Energy Survey (DES) and redshift-space distortions (RSD) probed by the CMASS galaxy sample from the Baryonic Oscillation Spectroscopic Survey (BOSS). In this paper, we demonstrate the feasibility of adopting DMASS as the equivalent of BOSS CMASS for a joint analysis of DES and BOSS in the framework of modified gravity. We utilize the angular clustering of the DMASS galaxies, cosmic shear of the DES METACALIBRATION sources, and cross-correlation of the two as data vectors. By jointly fitting the combination of the data with the RSD measurements from the BOSS CMASS sample and Planck data, we obtain the constraints on modified gravity parameters $\mu_0 = -0.37^{+0.47}_{-0.45}$ and $\Sigma_0 = 0.078^{+0.078}_{-0.082}$. We do not detect any significant deviation from General Relativity. Our constraints of modified gravity measured with DMASS are tighter than those with the DES Year 1 redMaGiC galaxy sample with the same external data sets by $29\%$ for $\mu_0$ and $21\%$ for $\Sigma_0$, and comparable to the published results of the DES Year 1 modified gravity analysis despite this work using fewer external data sets. This improvement is mainly because the galaxy bias parameter is shared and more tightly constrained by both CMASS and DMASS, effectively breaking the degeneracy between the galaxy bias and other cosmological parameters. Such an approach to optimally combine photometric and spectroscopic surveys using a photometric sample equivalent to a spectroscopic sample can be applied to combining future surveys having a limited overlap such as DESI and LSST., Comment: 16 pages, 8 figures, Matches version accepted by MNRAS
Published: 2021
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4. Galaxy-galaxy lensing with the DES-CMASS catalogue: measurement and constraints on the galaxy-matter cross-correlation

Author: Lee, S., Troxel, M. A., Choi, A., Elvin-Poole, J., Hirata, C., Honscheid, K., Huff, E. M., MacCrann, N., Ross, A. J., Eifler, T. F., Chang, C., Miquel, R., Omori, Y., Prat, J., Bernstein, G. M., Davis, C., DeRose, J., Gatti, M., Rau, M. M., Samuroff, S., Sánchez, C., Vielzeuf, P., Zuntz, J., Aguena, M., Allam, S., Amon, A., Andrade-Oliveira, F., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Conselice, C., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Everett, S., Evrard, A. E., Ferrero, I., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Hoyle, B., Huterer, D., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Menanteau, F., Mohr, J. J., Morgan, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Roodman, A., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Sheldon, E., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Varga, T. N., and Weller, J.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The DMASS sample is a photometric sample from the DES Year 1 data set designed to replicate the properties of the CMASS sample from BOSS, in support of a joint analysis of DES and BOSS beyond the small overlapping area. In this paper, we present the measurement of galaxy-galaxy lensing using the DMASS sample as gravitational lenses in the DES Y1 imaging data. We test a number of potential systematics that can bias the galaxy-galaxy lensing signal, including those from shear estimation, photometric redshifts, and observing conditions. After careful systematic tests, we obtain a highly significant detection of the galaxy-galaxy lensing signal, with total $S/N=25.7$. With the measured signal, we assess the feasibility of using DMASS as gravitational lenses equivalent to CMASS, by estimating the galaxy-matter cross-correlation coefficient $r_{\rm cc}$. By jointly fitting the galaxy-galaxy lensing measurement with the galaxy clustering measurement from CMASS, we obtain $r_{\rm cc}=1.09^{+0.12}_{-0.11}$ for the scale cut of $4~h^{-1}{\rm Mpc}$ and $r_{\rm cc}=1.06^{+0.13}_{-0.12}$ for $12~h^{-1}{\rm Mpc}$ in fixed cosmology. By adding the angular galaxy clustering of DMASS, we obtain $r_{\rm cc}=1.06\pm 0.10$ for the scale cut of $4~h^{-1}{\rm Mpc}$ and $r_{\rm cc}=1.03\pm 0.11$ for $12~h^{-1}{\rm Mpc}$. The resulting values of $r_{\rm cc}$ indicate that the lensing signal of DMASS is statistically consistent with the one that would have been measured if CMASS had populated the DES region within the given statistical uncertainty. The measurement of galaxy-galaxy lensing presented in this paper will serve as part of the data vector for the forthcoming cosmology analysis in preparation., Comment: 17 pages, 12 figures, Matches version accepted by MNRAS
Published: 2021
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5. A Composite Likelihood Approach for Inference under Photometric Redshift Uncertainty

Author: Rau, M. M., Morrison, C. B., Schmidt, S. J., Wilson, S., Mandelbaum, R., and Mao, Y. Y.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: Obtaining accurately calibrated redshift distributions of photometric samples is one of the great challenges in photometric surveys like LSST, Euclid, HSC, KiDS, and DES. We present an inference methodology that combines the redshift information from the galaxy photometry with constraints from two-point functions, utilizing cross-correlations with spatially overlapping spectroscopic samples, and illustrate the approach on CosmoDC2 simulations. Our likelihood framework is designed to integrate directly into a typical large-scale structure and weak lensing analysis based on two-point functions. We discuss efficient and accurate inference techniques that allow us to scale the method to the large samples of galaxies to be expected in LSST. We consider statistical challenges like the parametrization of redshift systematics, discuss and evaluate techniques to regularize the sample redshift distributions, and investigate techniques that can help to detect and calibrate sources of systematic error using posterior predictive checks. We evaluate and forecast photometric redshift performance using data from the CosmoDC2 simulations, within which we mimic a DESI-like spectroscopic calibration sample for cross-correlations. Using a combination of spatial cross-correlations and photometry, we show that we can provide calibration of the mean of the sample redshift distribution to an accuracy of at least 0.002(1+z), consistent with the LSST-Y1 science requirements for weak lensing and large-scale structure probes., Comment: Updated to match the version accepted by the MNRAS, 23 pages, 9 figures, 2 tables
Published: 2021
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6. Assessing tension metrics with Dark Energy Survey and Planck data

Author: Lemos, P., Raveri, M., Campos, A., Park, Y., Chang, C., Weaverdyck, N., Huterer, D., Liddle, A. R., Blazek, J., Cawthon, R., Choi, A., DeRose, J., Dodelson, S., Doux, C., Gatti, M., Gruen, D., Harrison, I., Krause, E., Lahav, O., MacCrann, N., Muir, J., Prat, J., Rau, M. M., Rollins, R. P., Samuroff, S., Zuntz, J., Hartley, W. G., Hoyle, B., Sevilla-Noarbe, I., Troxel, M. A., Aguena, M., Allam, S., Annis, J., Avila, S., Bacon, D., Bernstein, G. M., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Conselice, C., Costanzi, M., Crocce, M., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Eckert, K., Eifler, T. F., Elvin-Poole, J., Everett, S., Evrard, A. E., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huff, E. M., James, D. J., Jarvis, M., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Martini, P., Melchior, P., Menanteau, F., Miquel, R., Mohr, J. J., Morgan, R., Myles, J., Ogando, R. L. C., Palmese, A., Pandey, S., Paz-Chinchón, F., Plazas, A. A., Rodriguez-Monroy, M., Roodman, A., Sanchez, E., Scarpine, V., Schubnell, M., Secco, L. F., Serrano, S., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Varga, T. N., Weller, J., and Wester, W.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: Quantifying tensions -- inconsistencies amongst measurements of cosmological parameters by different experiments -- has emerged as a crucial part of modern cosmological data analysis. Statistically-significant tensions between two experiments or cosmological probes may indicate new physics extending beyond the standard cosmological model and need to be promptly identified. We apply several tension estimators proposed in the literature to the Dark Energy Survey (DES) large-scale structure measurement and Planck cosmic microwave background data. We first evaluate the responsiveness of these metrics to an input tension artificially introduced between the two, using synthetic DES data. We then apply the metrics to the comparison of Planck and actual DES Year 1 data. We find that the parameter differences, Eigentension, and Suspiciousness metrics all yield similar results on both simulated and real data, while the Bayes ratio is inconsistent with the rest due to its dependence on the prior volume. Using these metrics, we calculate the tension between DES Year 1 $3\times 2$pt and Planck, finding the surveys to be in $\sim 2.3\sigma$ tension under the $\Lambda$CDM paradigm. This suite of metrics provides a toolset for robustly testing tensions in the DES Year 3 data and beyond., Comment: 17 pages, 10 figures. Accepted in MNRAS. See https://www.darkenergysurvey.org/des-year-3-cosmology-results-papers/ for the full DES Y3 cosmology release
Published: 2020
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7. Dark Energy Survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions

Author: Doux, C., Baxter, E., Lemos, P., Chang, C., Alarcon, A., Amon, A., Campos, A., Choi, A., Gatti, M., Gruen, D., Jarvis, M., MacCrann, N., Park, Y., Prat, J., Rau, M. M., Raveri, M., Samuroff, S., DeRose, J., Hartley, W. G., Hoyle, B., Troxel, M. A., Zuntz, J., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Avila, S., Bacon, D., Bertin, E., Bhargava, S., Brooks, D., Burke, D. L., Kind, M. Carrasco, Carretero, J., Cawthon, R., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Everett, S., Ferrero, I., Fosalba, P., Frieman, J., García-Bellido, J., Gerdes, D. W., Giannantonio, T., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huff, E. M., Huterer, D., Jain, B., James, D. J., Krause, E., Kuehn, K., Kuropatkin, N., Lahav, O., Lidman, C., Lima, M., Maia, M. A. G., Menanteau, F., Miquel, R., Morgan, R., Muir, J., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Tucker, D. L., Varga, T. N., Weller, J., and Wilkinson, R. D.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: Beyond-$\Lambda$CDM physics or systematic errors may cause subsets of a cosmological data set to appear inconsistent when analyzed assuming $\Lambda$CDM. We present an application of internal consistency tests to measurements from the Dark Energy Survey Year 1 (DES Y1) joint probes analysis. Our analysis relies on computing the posterior predictive distribution (PPD) for these data under the assumption of $\Lambda$CDM. We find that the DES Y1 data have an acceptable goodness of fit to $\Lambda$CDM, with a probability of finding a worse fit by random chance of ${p = 0.046}$. Using numerical PPD tests, supplemented by graphical checks, we show that most of the data vector appears completely consistent with expectations, although we observe a small tension between large- and small-scale measurements. A small part (roughly 1.5%) of the data vector shows an unusually large departure from expectations; excluding this part of the data has negligible impact on cosmological constraints, but does significantly improve the $p$-value to 0.10. The methodology developed here will be applied to test the consistency of DES Year 3 joint probes data sets., Comment: v2: Minor modification in calibration methodology; conclusions unchanged. v3: Matches version accepted in MNRAS; generalises calibration of p-values, while leaving qualitative conclusions unchanged. Comments are welcome
Published: 2020
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8. Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances, Weak Lensing, and Galaxy Correlations

Author: To, C., Krause, E., Rozo, E., Wu, H., Gruen, D., Wechsler, R. H., Eifler, T. F., Rykoff, E. S., Costanzi, M., Becker, M. R., Bernstein, G. M., Blazek, J., Bocquet, S., Bridle, S. L., Cawthon, R., Choi, A., Crocce, M., Davis, C., DeRose, J., Drlica-Wagner, A., Elvin-Poole, J., Fang, X., Farahi, A., Friedrich, O., Gatti, M., Gaztanaga, E., Giannantonio, T., Hartley, W. G., Hoyle, B., Jarvis, M., MacCrann, N., McClintock, T., Miranda, V., Pereira, M. E. S., Park, Y., Porredon, A., Prat, J., Rau, M. M., Ross, A. J., Samuroff, S., Sánchez, C., Sevilla-Noarbe, I., Sheldon, E., Troxel, M. A., Varga, T. N., Vielzeuf, P., Zhang, Y., Zuntz, J., Abbott, T. M. C., Aguena, M., Annis, J., Avila, S., Bertin, E., Bhargava, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Chang, C., Conselice, C., da Costa, L. N., Davis, T. M., Desai, S., Diehl, H. T., Dietrich, J. P., Everett, S., Evrard, A. E., Ferrero, I., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Huterer, D., James, D. J., Jeltema, T., Kron, R., Kuehn, K., Kuropatkin, N., Lima, M., Maia, M. A. G., Marshall, J. L., Menanteau, F., Miquel, R., Morgan, R., Muir, J., Myles, J., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Romer, A. K., Roodman, A., Sanchez, E., Santiago, B., Scarpine, V., Serrano, S., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Weller, J., and Wester, W.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Combining multiple observational probes is a powerful technique to provide robust and precise constraints on cosmological parameters. In this letter, we present the first joint analysis of cluster abundances and auto/cross correlations of three cosmic tracer fields measured from the first year data of the Dark Energy Survey: galaxy density, weak gravitational lensing shear, and cluster density split by optical richness. From a joint analysis of cluster abundances, three cluster cross-correlations, and auto correlations of galaxy density, we obtain $\Omega_{\rm{m}}=0.305^{+0.055}_{-0.038}$ and $\sigma_8=0.783^{+0.064}_{-0.054}$. This result is consistent with constraints from the DES-Y1 galaxy clustering and weak lensing two-point correlation functions for the flat $\nu\Lambda$CDM model. We thus combine cluster abundances and all two-point correlations from three cosmic tracer fields and find improved constraints on cosmological parameters as well as on the cluster observable--mass scaling relation. This analysis is an important advance in both optical cluster cosmology and multi-probe analyses of upcoming wide imaging surveys., Comment: 14 pages, 7 figures, 2 tables; submitted to PRL; comments are welcome
Published: 2020
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9. Euclid preparation: X. The Euclid photometric-redshift challenge

Author: Euclid Collaboration, Desprez, G., Paltani, S., Coupon, J., Almosallam, I., Alvarez-Ayllon, A., Amaro, V., Brescia, M., Brodwin, M., Cavuoti, S., De Vicente-Albendea, J., Fotopoulou, S., Hatfield, P. W., Hartley, W. G., Ilbert, O., Jarvis, M. J., Longo, G., Saha, R., Speagle, J. S., Tramacere, A., Castellano, M., Dubath, F., Galametz, A., Kuemmel, M., Laigle, C., Merlin, E., Mohr, J. J., Pilo, S., Salvato, M., Rau, M. M., Andreon, S., Auricchio, N., Baccigalupi, C., Balaguera-Antolínez, A., Baldi, M., Bardelli, S., Bender, R., Biviano, A., Bodendorf, C., Bonino, D., Bozzo, E., Branchini, E., Brinchmann, J., Burigana, C., Cabanac, R., Camera, S., Capobianco, V., Cappi, A., Carbone, C., Carretero, J., Carvalho, C. S., Casas, R., Casas, S., Castander, F. J., Castignani, G., Cimatti, A., Cledassou, R., Colodro-Conde, C., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Corcione, L., Courtois, H. M., Cuby, J. -G., Da Silva, A., de la Torre, S., Degaudenzi, H., Di Ferdinando, D., Douspis, M., Duncan, C. A. J., Dupac, X., Ealet, A., Fabbian, G., Fabricius, M., Farrens, S., Ferreira, P. G., Finelli, F., Fosalba, P., Fourmanoit, N., Frailis, M., Franceschi, E., Fumana, M., Galeotta, S., Garilli, B., Gillard, W., Gillis, B., Giocoli, C., Gozaliasl, G., Graciá-Carpio, J., Grupp, F., Guzzo, L., Hailey, M., Haugan, S. V. H., Holmes, W., Hormuth, F., Humphrey, A., Jahnke, K., Keihanen, E., Kermiche, S., Kilbinger, M., Kirkpatrick, C. C., Kitching, T. D., Kohley, R., Kubik, B., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Maino, D., Maiorano, E., Marggraf, O., Markovic, K., Martinet, N., Marulli, F., Massey, R., Maturi, M., Mauri, N., Maurogordato, S., Medinaceli, E., Mei, S., Meneghetti, M., Metcalf, R. Benton, Meylan, G., Moresco, M., Moscardini, L., Munari, E., Niemi, S., Padilla, C., Pasian, F., Patrizii, L., Pettorino, V., Pires, S., Polenta, G., Poncet, M., Popa, L., Potter, D., Pozzetti, L., Raison, F., Renzi, A., Rhodes, J., Riccio, G., Rossetti, E., Saglia, R., Sapone, D., Schneider, P., Scottez, V., Secroun, A., Serrano, S., Sirignano, C., Sirri, G., Stanco, L., Stern, D., Sureau, F., Crespí, P. Tallada, Tavagnacco, D., Taylor, A. N., Tenti, M., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Valenziano, L., Valiviita, J., Vassallo, T., Viel, M., Wang, Y., Welikala, N., Whittaker, L., Zacchei, A., Zamorani, G., Zoubian, J., and Zucca, E.
Subjects: Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Forthcoming large photometric surveys for cosmology require precise and accurate photometric redshift (photo-z) measurements for the success of their main science objectives. However, to date, no method has been able to produce photo-$z$s at the required accuracy using only the broad-band photometry that those surveys will provide. An assessment of the strengths and weaknesses of current methods is a crucial step in the eventual development of an approach to meet this challenge. We report on the performance of 13 photometric redshift code single value redshift estimates and redshift probability distributions (PDZs) on a common set of data, focusing particularly on the 0.2--2.6 redshift range that the Euclid mission will probe. We design a challenge using emulated Euclid data drawn from three photometric surveys of the COSMOS field. The data are divided into two samples: one calibration sample for which photometry and redshifts are provided to the participants; and the validation sample, containing only the photometry, to ensure a blinded test of the methods. Participants were invited to provide a redshift single value estimate and a PDZ for each source in the validation sample, along with a rejection flag that indicates sources they consider unfit for use in cosmological analyses. The performance of each method is assessed through a set of informative metrics, using cross-matched spectroscopic and highly-accurate photometric redshifts as the ground truth. We show that the rejection criteria set by participants are efficient in removing strong outliers, sources for which the photo-z deviates by more than 0.15(1+z) from the spectroscopic-redshift (spec-z). We also show that, while all methods are able to provide reliable single value estimates, several machine-learning methods do not manage to produce useful PDZs. [abridged], Comment: Accepted in A&A, 25 pages, 13 figures, 7 tables
Published: 2020
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10. Is diffuse intracluster light a good tracer of the galaxy cluster matter distribution?

Author: Sampaio-Santos, H., Zhang, Y., Ogando, R. L. C., Shin, T., Golden-Marx, Jesse B., Yanny, B., Herner, K., Hilton, M., Choi, A., Gatti, M., Gruen, D., Hoyle, B., Rau, M. M., De Vicente, J., Zuntz, J., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Avila, S., Bertin, E., Brooks, D., Burke, D. L., Kind, M. Carrasco, Carretero, J., Chang, C., Costanzi, M., da Costa, L. N., Diehl, H. T., Doel, P., Everett, S., Evrard, A. E., Flaugher, B., Fosalba, P., Frieman, J., Garcia-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Jarvis, M., Jeltema, T., Kuehn, K., Kuropatkin, N., Lahav, O., Maia, M. A. G., March, M., Marshall, J. L., Miquel, R., Palmese, A., Paz-Chinchon, F., Plazas, A. A., Sanchez, E., Santiago, B., Scarpine, V., Schubnell, M., Smith, M., Suchyta, E., Tarle, G., Tucker, D. L., Varga, T. N., and Wechsler, R. H.
Subjects: Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We explore the relation between diffuse intracluster light (central galaxy included) and the galaxy cluster (baryonic and dark) matter distribution using a sample of 528 clusters at $0.2\leq z \leq 0.35$ found in the Dark Energy Survey (DES) Year 1 data. The surface brightness of the diffuse light shows an increasing dependence on cluster total mass at larger radius, and appears to be self-similar with a universal radial dependence after scaling by cluster radius. We also compare the diffuse light radial profiles to the cluster (baryonic and dark) matter distribution measured through weak lensing and find them to be comparable. The IllustrisTNG galaxy formation simulation, TNG300, offers further insight into the connection between diffuse stellar mass and cluster matter distributions -- the simulation radial profile of the diffuse stellar component does not have a similar slope with the total cluster matter content, although that of the cluster satellite galaxies does. Regardless of the radial trends, the amount of diffuse stellar mass has a low-scatter scaling relation with cluster's total mass in the simulation, out-performing the total stellar mass of cluster satellite galaxies. We conclude that there is no consistent evidence yet on whether or not diffuse light is a faithful radial tracer of the cluster matter distribution. Nevertheless, both observational and simulation results reveal that diffuse light is an excellent indicator of the cluster's total mass., Comment: Accepted on MNRAS
Published: 2020
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11. The impact of spectroscopic incompleteness in direct calibration of redshift distributions for weak lensing surveys

Author: Hartley, W. G., Chang, C., Samani, S., Rosell, A. Carnero, Davis, T. M., Hoyle, B., Gruen, D., Asorey, J., Gschwend, J., Lidman, C., Kuehn, K., King, A., Rau, M. M., Wechsler, R. H., DeRose, J., Hinton, S. R., Whiteway, L., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Avila, S., Bernstein, G. M., Bertin, E., Bridle, S. L., Brooks, D., Burke, D. L., Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Costanzi, M., da Costa, L. N., Desai, S., Diehl, H. T., Dietrich, J. P., Flaugher, B., Fosalba, P., Frieman, J., Garcia-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruendl, R. A., Gutierrez, G., Hollowood, D. L., Honscheid, K., James, D. J., Kent, S., Krause, E., Kuropatkin, N., Lahav, O., Lima, M., Maia, M. A. G., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Ogando, R. L. C., Palmese, A., Chinchon, F. Paz, Plazas, A. A., Roodman, A., Rykoff, E. S., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., Troxel, M. A., Tucker, D. L., Varga, T. N., Weller, J., and Wilkinson, R. D.
Subjects: Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Obtaining accurate distributions of galaxy redshifts is a critical aspect of weak lensing cosmology experiments. One of the methods used to estimate and validate redshift distributions is apply weights to a spectroscopic sample so that their weighted photometry distribution matches the target sample. In this work we estimate the \textit{selection bias} in redshift that is introduced in this procedure. We do so by simulating the process of assembling a spectroscopic sample (including observer-assigned confidence flags) and highlight the impacts of spectroscopic target selection and redshift failures. We use the first year (Y1) weak lensing analysis in DES as an example data set but the implications generalise to all similar weak lensing surveys. We find that using colour cuts that are not available to the weak lensing galaxies can introduce biases of $\Delta~z\sim0.015$ in the weighted mean redshift of different redshift intervals. To assess the impact of incompleteness in spectroscopic samples, we select only objects with high observer-defined confidence flags and compare the weighted mean redshift with the true mean. We find that the mean redshift of the DES Y1 weak lensing sample is typically biased at the $\Delta~z=0.005-0.05$ level after the weighting is applied. The bias we uncover can have either sign, depending on the samples and redshift interval considered. For the highest redshift bin, the bias is larger than the uncertainties in the other DES Y1 redshift calibration methods, justifying the decision of not using this method for the redshift estimations. We discuss several methods to mitigate this bias., Comment: 20 pages, 12 figures. Our main result is shown in Fig. 6. MNRAS, Volume 496, Issue 4, pp.4769-4786. Catalogue data used in this publication can be found here: http://star.ucl.ac.uk/~whartley/simspec/
Published: 2020
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12. Dark Energy Survey Year 1 results: The relationship between mass and light around cosmic voids

Author: Fang, Y., Hamaus, N., Jain, B., Pandey, S., Pollina, G., Sánchez, C., Kovács, A., Chang, C., Carretero, J., Castander, F. J., Choi, A., Crocce, M., DeRose, J., Fosalba, P., Gatti, M., Gaztañaga, E., Gruen, D., Hartley, W. G., Hoyle, B., MacCrann, N., Prat, J., Rau, M. M., Rykoff, E. S., Samuroff, S., Sheldon, E., Troxel, M. A., Vielzeuf, P., Zuntz, J., Annis, J., Avila, S., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Cawthon, R., da Costa, L. N., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Everett, S., Evrard, A. E., Flaugher, B., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruendl, R. A., Gutierrez, G., Hollowood, D. L., James, D. J., Jarvis, M., Kuropatkin, N., Lahav, O., Maia, M. A. G., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Palmese, A., Plazas, A. A., Romer, A. K., Roodman, A., Sanchez, E., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Vikram, V., Walker, A. R., and Weller, J.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: What are the mass and galaxy profiles of cosmic voids? In this paper we use two methods to extract voids in the Dark Energy Survey (DES) Year 1 redMaGiC galaxy sample to address this question. We use either 2D slices in projection, or the 3D distribution of galaxies based on photometric redshifts to identify voids. For the mass profile, we measure the tangential shear profiles of background galaxies to infer the excess surface mass density. The signal-to-noise ratio for our lensing measurement ranges between 10.7 and 14.0 for the two void samples. We infer their 3D density profiles by fitting models based on N-body simulations and find good agreement for void radii in the range 15-85 Mpc. Comparison with their galaxy profiles then allows us to test the relation between mass and light at the 10%-level, the most stringent test to date. We find very similar shapes for the two profiles, consistent with a linear relationship between mass and light both within and outside the void radius. We validate our analysis with the help of simulated mock catalogues and estimate the impact of photometric redshift uncertainties on the measurement. Our methodology can be used for cosmological applications, including tests of gravity with voids. This is especially promising when the lensing profiles are combined with spectroscopic measurements of void dynamics via redshift-space distortions., Comment: 16 pages, 14 figures, 1 table. Reflects MNRAS published version
Published: 2019
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13. Cosmological lensing ratios with DES Y1, SPT and Planck

Author: Prat, J., Baxter, E. J., Shin, T., Sánchez, C., Chang, C., Jain, B., Miquel, R., Alarcon, A., Bacon, D., Bernstein, G. M., Cawthon, R., Crawford, T. M., Davis, C., De Vicente, J., Dodelson, S., Eifler, T. F., Friedrich, O., Gatti, M., Gruen, D., Hartley, W. G., Holder, G. P., Hoyle, B., Jarvis, M., Krause, E., MacCrann, N., Mawdsley, B., Nicola, A., Omori, Y., Pujol, A., Rau, M. M., Reichardt, C. L., Samuroff, S., Sheldon, E., Troxel, M. A., Vielzeuf, P., Zuntz, J., Abbott, T. M. C., Abdalla, F. B., Annis, J., Avila, S., Aylor, K., Benson, B. A., Bertin, E., Bleem, L. E., Brooks, D., Burke, D. L., Carlstrom, J. E., Kind, M. Carrasco, Carretero, J., Chang, C. L., Cho, H-M., Chown, R., Crites, A. T., Cunha, C. E., da Costa, L. N., Desai, S., Diehl, H. T., Dietrich, J. P., Dobbs, M. A., Doel, P., Everett, W. B., Evrard, A. E., Flaugher, B., Fosalba, P., García-Bellido, J., Gaztanaga, E., George, E. M., Gerdes, D. W., Giannantonio, T., Gruendl, R. A., Gschwend, J., Gutierrez, G., de Haan, T., Halverson, N. W., Harrington, N. L., Holzapfel, W. L., Honscheid, K., Hou, Z., Hrubes, J. D., James, D. J., Jeltema, T., Knox, L., Kron, R., Kuehn, K., Kuropatkin, N., Lahav, O., Lee, A. T., Leitch, E. M., Lima, M., Luong-Van, D., Maia, M. A. G., Manzotti, A., Marrone, D. P., Marshall, J. L., McMahon, J. J., Melchior, P., Menanteau, F., Meyer, S. S., Miller, C. J., Mocanu, L. M., Mohr, J. J., Natoli, T., Padin, S., Plazas, A. A., Pryke, C., Romer, A. K., Roodman, A., Ruhl, J. E., Rykoff, E. S., Sanchez, E., Sayre, J. T., Scarpine, V., Schaffer, K. K., Serrano, S., Sevilla-Noarbe, I., Shirokoff, E., Simard, G., Smith, M., Soares-Santos, M., Sobreira, F., Staniszewski, Z., Stark, A. A., Story, K. T., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Vanderlinde, K., Vieira, J. D., Vikram, V., Walker, A. R., Weller, J., Williamson, R., and Zahn, O.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Correlations between tracers of the matter density field and gravitational lensing are sensitive to the evolution of the matter power spectrum and the expansion rate across cosmic time. Appropriately defined ratios of such correlation functions, on the other hand, depend only on the angular diameter distances to the tracer objects and to the gravitational lensing source planes. Because of their simple cosmological dependence, such ratios can exploit available signal-to-noise down to small angular scales, even where directly modeling the correlation functions is difficult. We present a measurement of lensing ratios using galaxy position and lensing data from the Dark Energy Survey, and CMB lensing data from the South Pole Telescope and Planck, obtaining the highest precision lensing ratio measurements to date. Relative to the concordance $\Lambda$CDM model, we find a best fit lensing ratio amplitude of $A = 1.1 \pm 0.1$. We use the ratio measurements to generate cosmological constraints, focusing on the curvature parameter. We demonstrate that photometrically selected galaxies can be used to measure lensing ratios, and argue that future lensing ratio measurements with data from a combination of LSST and Stage-4 CMB experiments can be used to place interesting cosmological constraints, even after considering the systematic uncertainties associated with photometric redshift and galaxy shear estimation., Comment: 17 pages, 11 figures
Published: 2018
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14. Dark Energy Survey Year 1 Results: Joint Analysis of Galaxy Clustering, Galaxy Lensing, and CMB Lensing Two-point Functions

Author: Abbott, T. M. C., Abdalla, F. B., Alarcon, A., Allam, S., Annis, J., Avila, S., Aylor, K., Banerji, M., Banik, N., Baxter, E. J., Bechtol, K., Becker, M. R., Benson, B. A., Bernstein, G. M., Bertin, E., Bianchini, F., Blazek, J., Bleem, L., Bleem, L. E., Bridle, S. L., Brooks, D., Buckley-Geer, E., Burke, D. L., Carlstrom, J. E., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Chang, C. L., Cho, H-M., Choi, A., Chown, R., Crawford, T. M., Crites, A. T., Crocce, M., Cunha, C. E., D'Andrea, C. B., da Costa, L. N., Davis, C., de Haan, T., DeRose, J., Desai, S., De Vicente, J., Diehl, H. T., Dietrich, J. P., Dobbs, M. A., Dodelson, S., Doel, P., Drlica-Wagner, A., Eifler, T. F., Elvin-Poole, J., Everett, W. B., Flaugher, B., Fosalba, P., Friedrich, O., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., George, E. M., Gerdes, D. W., Giannantonio, T., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Halverson, N. W., Harrington, N. L., Hartley, W. G., Holder, G. P., Hollowood, D. L., Holzapfel, W. L., Honscheid, K., Hou, Z., Hoyle, B., Hrubes, J. D., Huterer, D., Jain, B., James, D. J., Jarvis, M., Jeltema, T., Johnson, M. W. G., Johnson, M. D., Kent, S., Kirk, D., Knox, L., Kokron, N., Krause, E., Kuehn, K., Lahav, O., Lee, A. T., Leitch, E. M., Li, T. S., Lima, M., Lin, H., Luong-Van, D., MacCrann, N., Maia, M. A. G., Manzotti, A., Marrone, D. P., Marshall, J. L., Martini, P., McMahon, J. J., Menanteau, F., Meyer, S. S., Miquel, R., Mocanu, L. M., Mohr, J. J., Muir, J., Natoli, T., Nicola, A., Nord, B., Omori, Y., Padin, S., Pandey, S., Plazas, A. A., Porredon, A., Prat, J., Pryke, C., Rau, M. M., Reichardt, C. L., Rollins, R. P., Romer, A. K., Roodman, A., Ross, A. J., Rozo, E., Ruhl, J. E., Rykoff, E. S., Samuroff, S., Sánchez, C., Sanchez, E., Sayre, J. T., Scarpine, V., Schaffer, K. K., Secco, L. F., Serrano, S., Sevilla-Noarbe, I., Sheldon, E., Shirokoff, E., Simard, G., Smith, M., Soares-Santos, M., Sobreira, F., Staniszewski, Z., Stark, A. A., Story, K. T., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Troxel, M. A., Tucker, D. L., Vanderlinde, K., Vieira, J. D., Vielzeuf, P., Vikram, V., Walker, A. R., Wechsler, R. H., Weller, J., Williamson, R., Wu, W. L. K., Yanny, B., Zahn, O., Zhang, Y., and Zuntz, J.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We perform a joint analysis of the auto and cross-correlations between three cosmic fields: the galaxy density field, the galaxy weak lensing shear field, and the cosmic microwave background (CMB) weak lensing convergence field. These three fields are measured using roughly 1300 sq. deg. of overlapping optical imaging data from first year observations of the Dark Energy Survey and millimeter-wave observations of the CMB from both the South Pole Telescope Sunyaev-Zel'dovich survey and Planck. We present cosmological constraints from the joint analysis of the two-point correlation functions between galaxy density and galaxy shear with CMB lensing. We test for consistency between these measurements and the DES-only two-point function measurements, finding no evidence for inconsistency in the context of flat $\Lambda$CDM cosmological models. Performing a joint analysis of five of the possible correlation functions between these fields (excluding only the CMB lensing autospectrum) yields $S_{8}\equiv \sigma_8\sqrt{\Omega_{\rm m}/0.3} = 0.782^{+0.019}_{-0.025}$ and $\Omega_{\rm m}=0.260^{+0.029}_{-0.019}$. We test for consistency between these five correlation function measurements and the Planck-only measurement of the CMB lensing autospectrum, again finding no evidence for inconsistency in the context of flat $\Lambda$CDM models. Combining constraints from all six two-point functions yields $S_{8}=0.776^{+0.014}_{-0.021}$ and $\Omega_{\rm m}= 0.271^{+0.022}_{-0.016}$. These results provide a powerful test and confirmation of the results from the first year DES joint-probes analysis., Comment: 20 pages, 7 figures
Published: 2018
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15. Dark Energy Survey Year 1 Results: Cross-correlation between DES Y1 galaxy weak lensing and SPT+Planck CMB weak lensing

Author: Omori, Y., Baxter, E., Chang, C., Kirk, D., Alarcon, A., Bernstein, G. M., Bleem, L. E., Cawthon, R., Choi, A., Chown, R., Crawford, T. M., Davis, C., De Vicente, J., DeRose, J., Dodelson, S., Eifler, T. F., Fosalba, P., Friedrich, O., Gatti, M., Gaztanaga, E., Giannantonio, T., Gruen, D., Hartley, W. G., Holder, G. P., Hoyle, B., Huterer, D., Jain, B., Jarvis, M., Krause, E., MacCrann, N., Miquel, R., Prat, J., Rau, M. M., Reichardt, C. L., Rozo, E., Samuroff, S., Sánchez, C., Secco, L. F., Sheldon, E., Simard, G., Troxel, M. A., Vielzeuf, P., Wechsler, R. H., Zuntz, J., Abbott, T. M. C., Abdalla, F. B., Allam, S., Annis, J., Avila, S., Aylor, K., Benson, B. A., Bertin, E., Bridle, S. L., Brooks, D., Burke, D. L., Carlstrom, J. E., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Chang, C. L., Cho, H-M., Crites, A. T., Crocce, M., Cunha, C. E., da Costa, L. N., de Haan, T., Desai, S., Diehl, H. T., Dietrich, J. P., Dobbs, M. A., Everett, W. B., Fernandez, E., Flaugher, B., Frieman, J., García-Bellido, J., George, E. M., Gruendl, R. A., Gutierrez, G., Halverson, N. W., Harrington, N. L., Hollowood, D. L., Honscheid, K., Holzapfel, W. L., Hou, Z., Hrubes, J. D., James, D. J., Jeltema, T., Kuehn, K., Kuropatkin, N., Lima, M., Lin, H., Lee, A. T., Leitch, E. M., Luong-Van, D., Maia, M. A. G., Manzotti, A., Marrone, D. P., Marshall, J. L., Martini, P., McMahon, J. J., Melchior, P., Menanteau, F., Meyer, S. S., Mocanu, L. M., Mohr, J. J., Natoli, T., Ogando, R. L. C., Padin, S., Plazas, A. A., Pryke, C., Romer, A. K., Roodman, A., Ruhl, J. E., Rykoff, E. S., Sanchez, E., Scarpine, V., Schaffer, K. K., Schindler, R., Sevilla-Noarbe, I., Shirokoff, E., Smith, M., Smith, R. C., Soares-Santos, M., Sobreira, F., Staniszewski, Z., Stark, A. A., Story, K. T., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Vanderlinde, K., Vieira, J. D., Vikram, V., Walker, A. R., Weller, J., Williamson, R., Wu, W. L. K., and Zahn, O.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We cross-correlate galaxy weak lensing measurements from the Dark Energy Survey (DES) year-one (Y1) data with a cosmic microwave background (CMB) weak lensing map derived from South Pole Telescope (SPT) and Planck data, with an effective overlapping area of 1289 deg$^{2}$. With the combined measurements from four source galaxy redshift bins, we reject the hypothesis of no lensing with a significance of $10.8\sigma$. When employing angular scale cuts, this significance is reduced to $6.8\sigma$, which remains the highest signal-to-noise measurement of its kind to date. We fit the amplitude of the correlation functions while fixing the cosmological parameters to a fiducial $\Lambda$CDM model, finding $A = 0.99 \pm 0.17$. We additionally use the correlation function measurements to constrain shear calibration bias, obtaining constraints that are consistent with previous DES analyses. Finally, when performing a cosmological analysis under the $\Lambda$CDM model, we obtain the marginalized constraints of $\Omega_{\rm m}=0.261^{+0.070}_{-0.051}$ and $S_{8}\equiv \sigma_{8}\sqrt{\Omega_{\rm m}/0.3} = 0.660^{+0.085}_{-0.100}$. These measurements are used in a companion work that presents cosmological constraints from the joint analysis of two-point functions among galaxies, galaxy shears, and CMB lensing using DES, SPT and Planck data., Comment: 15 pages, 6 figures
Published: 2018
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16. Dark Energy Survey Year 1 Results: Weak Lensing Mass Calibration of redMaPPer Galaxy Clusters

Author: McClintock, T., Varga, T. N., Gruen, D., Rozo, E., Rykoff, E. S., Shin, T., Melchior, P., DeRose, J., Seitz, S., Dietrich, J. P., Sheldon, E., Zhang, Y., von der Linden, A., Jeltema, T., Mantz, A., Romer, A. K., Allen, S., Becker, M. R., Bermeo, A., Bhargava, S., Costanzi, M., Everett, S., Farahi, A., Hamaus, N., Hartley, W. G., Hollowood, D. L., Hoyle, B., Israel, H., Li, P., MacCrann, N., Morris, G., Palmese, A., Plazas, A. A., Pollina, G., Rau, M. M., Simet, M., Soares-Santos, M., Troxel, M. A., Cervantes, C. Vergara, Wechsler, R. H., Zuntz, J., Abbott, T. M. C., Abdalla, F. B., Allam, S., Annis, J., Avila, S., Bridle, S. L., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Crocce, M., Cunha, C. E., D'Andrea, C. B., da Costa, L. N., Davis, C., De Vicente, J., Diehl, H. T., Doel, P., Drlica-Wagner, A., Evrard, A. E., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gruendl, R. A., Gutierrez, G., Honscheid, K., James, D. J., Kirk, D., Krause, E., Kuehn, K., Lahav, O., Li, T. S., Lima, M., March, M., Marshall, J. L., Menanteau, F., Miquel, R., Mohr, J. J., Nord, B., Ogando, R. L. C., Roodman, A., Sanchez, E., Scarpine, V., Schindler, R., Sevilla-Noarbe, I., Smith, M., Smith, R. C., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Tucker, D. L., Vikram, V., Walker, A. R., and Weller, J.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We constrain the mass--richness scaling relation of redMaPPer galaxy clusters identified in the Dark Energy Survey Year 1 data using weak gravitational lensing. We split clusters into $4\times3$ bins of richness $\lambda$ and redshift $z$ for $\lambda\geq20$ and $0.2 \leq z \leq 0.65$ and measure the mean masses of these bins using their stacked weak lensing signal. By modeling the scaling relation as $\langle M_{\rm 200m}|\lambda,z\rangle = M_0 (\lambda/40)^F ((1+z)/1.35)^G$, we constrain the normalization of the scaling relation at the 5.0 per cent level as $M_0 = [3.081 \pm 0.075 ({\rm stat}) \pm 0.133 ({\rm sys})] \cdot 10^{14}\ {\rm M}_\odot$ at $\lambda=40$ and $z=0.35$. The richness scaling index is constrained to be $F=1.356 \pm 0.051\ ({\rm stat})\pm 0.008\ ({\rm sys})$ and the redshift scaling index $G=-0.30\pm 0.30\ ({\rm stat})\pm 0.06\ ({\rm sys})$. These are the tightest measurements of the normalization and richness scaling index made to date. We use a semi-analytic covariance matrix to characterize the statistical errors in the recovered weak lensing profiles. Our analysis accounts for the following sources of systematic error: shear and photometric redshift errors, cluster miscentering, cluster member dilution of the source sample, systematic uncertainties in the modeling of the halo--mass correlation function, halo triaxiality, and projection effects. We discuss prospects for reducing this systematic error budget, which dominates the uncertainty on $M_0$. Our result is in excellent agreement with, but has significantly smaller uncertainties than, previous measurements in the literature, and augurs well for the power of the DES cluster survey as a tool for precision cosmology and upcoming galaxy surveys such as LSST, Euclid and WFIRST., Comment: 28 pages, 15 figures; matches MNRAS referee response version
Published: 2018
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17. Dark Energy Survey Year 1 Results: Calibration of redMaGiC Redshift Distributions in DES and SDSS from Cross-Correlations

Author: Cawthon, R., Davis, C., Gatti, M., Vielzeuf, P., Elvin-Poole, J., Rozo, E., Frieman, J., Rykoff, E. S., Alarcon, A., Bernstein, G. M., Bonnett, C., Rosell, A. Carnero, Castander, F. J., Chang, C., da Costa, L. N., De Vicente, J., DeRose, J., Drlica-Wagner, A., Gaztanaga, E., Giannantonio, T., Gruen, D., Gschwend, J., Hartley, W. G., Hoyle, B., Lin, H., Maia, M. A. G., Miquel, R., Ogando, R. L. C., Rau, M. M., Roodman, A., Ross, A. J., Sevilla-Noarbe, I., Troxel, M. A., Wechsler, R. H., Abbott, T. M. C., Abdalla, F. B., Allam, S., Annis, J., Avila, S., Banerji, M., Bechtol, K., Bernstein, R. A., Bertin, E., Brooks, D., Burke, D. L., Kind, M. Carrasco, Carretero, J., Cunha, C. E., D'Andrea, C. B., DePoy, D. L., Desai, S., Diehl, H. T., Doel, P., Eifler, T. F., Evrard, A. E., Flaugher, B., Fosalba, P., García-Bellido, J., Gerdes, D. W., Gruendl, R. A., Gutierrez, G., Hollowood, D., Honscheid, K., James, D. J., Jeltema, T., Krause, E., Kuehn, K., Kuhlmann, S., Kuropatkin, N., Lahav, O., Lima, M., Marshall, J. L., Martini, P., Menanteau, F., Miller, C. J., Plazas, A. A., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Sheldon, E., Smith, M., Smith, R. C., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., and Walker, A. R.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present calibrations of the redshift distributions of redMaGiC galaxies in the Dark Energy Survey Year 1 (DES Y1) and Sloan Digital Sky Survey (SDSS) DR8 data. These results determine the priors of the redshift distribution of redMaGiC galaxies, which were used for galaxy clustering measurements and as lenses for galaxy-galaxy lensing measurements in DES Y1 cosmological analyses. We empirically determine the bias in redMaGiC photometric redshift estimates using angular cross-correlations with Baryon Oscillation Spectroscopic Survey (BOSS) galaxies. For DES, we calibrate a single parameter redshift bias in three photometric redshift bins: $z \in[0.15,0.3]$, [0.3,0.45], and [0.45,0.6]. Our best fit results in each bin give photometric redshift biases of $|\Delta z|<0.01$. To further test the redMaGiC algorithm, we apply our calibration procedure to SDSS redMaGiC galaxies, where the statistical precision of the cross-correlation measurement is much higher due to a greater overlap with BOSS galaxies. For SDSS, we also find best fit results of $|\Delta z|<0.01$. We compare our results to other analyses of redMaGiC photometric redshifts., Comment: 18 pages, 12 figures. Minor changes to text to match version accepted by MNRAS
Published: 2017
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18. Dark Energy Survey Year 1 Results: Cross-Correlation Redshifts in the DES -- Calibration of the Weak Lensing Source Redshift Distributions

Author: Davis, C., Gatti, M., Vielzeuf, P., Cawthon, R., Rozo, E., Alarcon, A., Bernstein, G. M., Bonnett, C., Rosell, A. Carnero, Castander, F. J., Chang, C., da Costa, L. N., Davis, T. M., De Vicente, J., DeRose, J., Drlica-Wagner, A., Elvin-Poole, J., Gaztanaga, E., Gruen, D., Gschwend, J., Hartley, W. G., Hoyle, B., Lin, H., Maia, M. A. G., Miquel, R., Ogando, R. L. C., Rau, M. M., Roodman, A., Rykoff, E. S., Sevilla-Noarbe, I., Troxel, M. A., Wechsler, R. H., Abbott, T. M. C., Abdalla, F. B., Allam, S., Annis, J., Bechtol, K., Benoit-Lévy, A., Brooks, D., Buckley-Geer, E., Burke, D. L., Kind, M. Carrasco, Carretero, J., Crocce, M., Cunha, C. E., Desai, S., Diehl, H. T., Doel, P., Eifler, T. F., Flaugher, B., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruendl, R. A., Gutierrez, G., Honscheid, K., James, D. J., Jeltema, T., Krause, E., Kron, R., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., March, M., Marshall, J. L., Menanteau, F., Nichol, R. C., Nord, B., Plazas, A. A., Sanchez, E., Scarpine, V., Schindler, R., Smith, M., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Vikram, V., Walker, A. R., and Zuntz, J.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present the calibration of the Dark Energy Survey Year 1 (DES Y1) weak lensing source galaxy redshift distributions from clustering measurements. By cross-correlating the positions of source galaxies with luminous red galaxies selected by the redMaGiC algorithm we measure the redshift distributions of the source galaxies as placed into different tomographic bins. These measurements constrain any such shifts to an accuracy of $\sim0.02$ and can be computed even when the clustering measurements do not span the full redshift range. The highest-redshift source bin is not constrained by the clustering measurements because of the minimal redshift overlap with the redMaGiC galaxies. We compare our constraints with those obtained from $\texttt{COSMOS}$ 30-band photometry and find that our two very different methods produce consistent constraints., Comment: 13 pages, 7 figures. Submitting to MNRAS. Feedback welcome!
Published: 2017

19. Dark Energy Survey Year 1 Results: Cross-Correlation Redshifts - Methods and Systematics Characterization

Author: Gatti, M., Vielzeuf, P., Davis, C., Cawthon, R., Rau, M. M., DeRose, J., De Vicente, J., Alarcon, A., Rozo, E., Gaztanaga, E., Hoyle, B., Miquel, R., Bernstein, G. M., Bonnett, C., Rosell, A. Carnero, Castander, F. J., Chang, C., da Costa, L. N., Gruen, D., Gschwend, J., Hartley, W. G., Lin, H., MacCrann, N., Maia, M. A. G., Ogando, R. L. C., Roodman, A., Sevilla-Noarbe, I., Troxel, M. A., Wechsler, R. H., Asorey, J., Davis, T. M., Glazebrook, K., Hinton, S. R., Lewis, G., Lidman, C., Macaulay, E., Möller, A., O'Neill, C. R., Sommer, N. E., Uddin, S. A., Yuan, F., Zhang, B., Abbott, T. M. C., Allam, S., Annis, J., Bechtol, K., Brooks, D., Burke, D. L., Carollo, D., Kind, M. Carrasco, Carretero, J., Cunha, C. E., D'Andrea, C. B., DePoy, D. L., Desai, S., Eifler, T. F., Evrard, A. E., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gerdes, D. W., Goldstein, D. A., Gruendl, R. A., Gutierrez, G., Honscheid, K., Hoormann, J. K., Jain, B., James, D. J., Jarvis, M., Jeltema, T., Johnson, M. W. G., Johnson, M. D., Krause, E., Kuehn, K., Kuhlmann, S., Kuropatkin, N., Li, T. S., Lima, M., Marshall, J. L., Melchior, P., Menanteau, F., Nichol, R. C., Nord, B., Plazas, A. A., Reil, K., Rykoff, E. S., Sako, M., Sanchez, E., Scarpine, V., Schubnell, M., Sheldon, E., Smith, M., Smith, R. C., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, B. E., Tucker, D. L., Vikram, V., Walker, A. R., Weller, J., Wester, W., and Wolf, R. C.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We use numerical simulations to characterize the performance of a clustering-based method to calibrate photometric redshift biases. In particular, we cross-correlate the weak lensing (WL) source galaxies from the Dark Energy Survey Year 1 (DES Y1) sample with redMaGiC galaxies (luminous red galaxies with secure photometric redshifts) to estimate the redshift distribution of the former sample. The recovered redshift distributions are used to calibrate the photometric redshift bias of standard photo-$z$ methods applied to the same source galaxy sample. We apply the method to three photo-$z$ codes run in our simulated data: Bayesian Photometric Redshift (BPZ), Directional Neighborhood Fitting (DNF), and Random Forest-based photo-$z$ (RF). We characterize the systematic uncertainties of our calibration procedure, and find that these systematic uncertainties dominate our error budget. The dominant systematics are due to our assumption of unevolving bias and clustering across each redshift bin, and to differences between the shapes of the redshift distributions derived by clustering vs photo-$z$'s. The systematic uncertainty in the mean redshift bias of the source galaxy sample is $\Delta z \lesssim 0.02$, though the precise value depends on the redshift bin under consideration. We discuss possible ways to mitigate the impact of our dominant systematics in future analyses., Comment: submitted to MNRAS
Published: 2017
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20. Dark Energy Survey Year 1 Results: Cosmological Constraints from Cosmic Shear

Author: Troxel, M. A., MacCrann, N., Zuntz, J., Eifler, T. F., Krause, E., Dodelson, S., Gruen, D., Blazek, J., Friedrich, O., Samuroff, S., Prat, J., Secco, L. F., Davis, C., Ferté, A., DeRose, J., Alarcon, A., Amara, A., Baxter, E., Becker, M. R., Bernstein, G. M., Bridle, S. L., Cawthon, R., Chang, C., Choi, A., De Vicente, J., Drlica-Wagner, A., Elvin-Poole, J., Frieman, J., Gatti, M., Hartley, W. G., Honscheid, K., Hoyle, B., Huff, E. M., Huterer, D., Jain, B., Jarvis, M., Kacprzak, T., Kirk, D., Kokron, N., Krawiec, C., Lahav, O., Liddle, A. R., Peacock, J., Rau, M. M., Refregier, A., Rollins, R. P., Rozo, E., Rykoff, E. S., Sánchez, C., Sevilla-Noarbe, I., Sheldon, E., Stebbins, A., Varga, T. N., Vielzeuf, P., Wang, M., Wechsler, R. H., Yanny, B., Abbott, T. M. C., Abdalla, F. B., Allam, S., Annis, J., Bechtol, K., Benoit-Lévy, A., Bertin, E., Brooks, D., Buckley-Geer, E., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Crocce, M., Cunha, C. E., D'Andrea, C. B., da Costa, L. N., DePoy, D. L., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Fernandez, E., Flaugher, B., Fosalba, P., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Goldstein, D. A., Gruendl, R. A., Gschwend, J., Gutierrez, G., James, D. J., Jeltema, T., Johnson, M. W. G., Johnson, M. D., Kent, S., Kuehn, K., Kuhlmann, S., Kuropatkin, N., Li, T. S., Lima, M., Lin, H., Maia, M. A. G., March, M., Marshall, J. L., Martini, P., Melchior, P., Menanteau, F., Miquel, R., Mohr, J. J., Neilsen, E., Nichol, R. C., Nord, B., Petravick, D., Plazas, A. A., Romer, A. K., Roodman, A., Sako, M., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Smith, M., Smith, R. C., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Vikram, V., Walker, A. R., Weller, J., and Zhang, Y.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We use 26 million galaxies from the Dark Energy Survey (DES) Year 1 shape catalogs over 1321 deg$^2$ of the sky to produce the most significant measurement of cosmic shear in a galaxy survey to date. We constrain cosmological parameters in both the flat $\Lambda$CDM and $w$CDM models, while also varying the neutrino mass density. These results are shown to be robust using two independent shape catalogs, two independent \photoz\ calibration methods, and two independent analysis pipelines in a blind analysis. We find a 3.5\% fractional uncertainty on $\sigma_8(\Omega_m/0.3)^{0.5} = 0.782^{+0.027}_{-0.027}$ at 68\% CL, which is a factor of 2.5 improvement over the fractional constraining power of our DES Science Verification results. In $w$CDM, we find a 4.8\% fractional uncertainty on $\sigma_8(\Omega_m/0.3)^{0.5} = 0.777^{+0.036}_{-0.038}$ and a dark energy equation-of-state $w=-0.95^{+0.33}_{-0.39}$. We find results that are consistent with previous cosmic shear constraints in $\sigma_8$ -- $\Omega_m$, and see no evidence for disagreement of our weak lensing data with data from the CMB. Finally, we find no evidence preferring a $w$CDM model allowing $w\ne -1$. We expect further significant improvements with subsequent years of DES data, which will more than triple the sky coverage of our shape catalogs and double the effective integrated exposure time per galaxy., Comment: 32 pages, 19 figures; matches PRD referee response version
Published: 2017
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21. Dark Energy Survey Year 1 Results: Curved-Sky Weak Lensing Mass Map

Author: Chang, C., Pujol, A., Mawdsley, B., Bacon, D., Elvin-Poole, J., Melchior, P., Kovács, A., Jain, B., Leistedt, B., Giannantonio, T., Alarcon, A., Baxter, E., Bechtol, K., Becker, M. R., Benoit-Lévy, A., Bernstein, G. M., Bonnett, C., Busha, M. T., Rosell, A. Carnero, Castander, F. J., Cawthon, R., da Costa, L. N., Davis, C., De Vicente, J., DeRose, J., Drlica-Wagner, A., Fosalba, P., Gatti, M., Gaztanaga, E., Gruen, D., Gschwend, J., Hartley, W. G., Hoyle, B., Huff, E. M., Jarvis, M., Jeffrey, N., Kacprzak, T., Lin, H., MacCrann, N., Maia, M. A. G., Ogando, R. L. C., Prat, J., Rau, M. M., Rollins, R. P., Roodman, A., Rozo, E., Rykoff, E. S., Samuroff, S., Sánchez, C., Sevilla-Noarbe, I., Sheldon, E., Troxel, M. A., Varga, T. N., Vielzeuf, P., Vikram, V., Wechsler, R. H., Zuntz, J., Abbott, T. M. C., Abdalla, F. B., Allam, S., Annis, J., Bertin, E., Brooks, D., Buckley-Geer, E., Burke, D. L., Kind, M. Carrasco, Carretero, J., Crocce, M., Cunha, C. E., D'Andrea, C. B., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Estrada, J., Neto, A. Fausti, Fernandez, E., Flaugher, B., Frieman, J., García-Bellido, J., Gruendl, R. A., Gutierrez, G., Honscheid, K., James, D. J., Jeltema, T., Johnson, M. W. G., Johnson, M. D., Kent, S., Kirk, D., Krause, E., Kuehn, K., Kuhlmann, S., Lahav, O., Li, T. S., Lima, M., March, M., Martini, P., Menanteau, F., Miquel, R., Mohr, J. J., Neilsen, E., Nichol, R. C., Petravick, D., Plazas, A. A., Romer, A. K., Sako, M., Sanchez, E., Scarpine, V., Schubnell, M., Smith, M., Smith, R. C., Soares-Santos, M., Sobreira, F., Suchyta, E., Tarle, G., Thomas, D., Tucker, D. L., Walker, A. R., Wester, W., and Zhang, Y.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We construct the largest curved-sky galaxy weak lensing mass map to date from the DES first-year (DES Y1) data. The map, about 10 times larger than previous work, is constructed over a contiguous $\approx1,500 $deg$^2$, covering a comoving volume of $\approx10 $Gpc$^3$. The effects of masking, sampling, and noise are tested using simulations. We generate weak lensing maps from two DES Y1 shear catalogs, Metacalibration and Im3shape, with sources at redshift $0.2
Published: 2017
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22. Dark Energy Survey Year 1 Results: Redshift distributions of the weak lensing source galaxies

Author: Hoyle, B., Gruen, D., Bernstein, G. M., Rau, M. M., De Vicente, J., Hartley, W. G., Gaztanaga, E., DeRose, J., Troxel, M. A., Davis, C., Alarcon, A., MacCrann, N., Prat, J., Sánchez, C., Sheldon, E., Wechsler, R. H., Asorey, J., Becker, M. R., Bonnett, C., Rosell, A. Carnero, Carollo, D., Kind, M. Carrasco, Castander, F. J., Cawthon, R., Chang, C., Childress, M., Davis, T. M., Drlica-Wagner, A., Gatti, M., Glazebrook, K., Gschwend, J., Hinton, S. R., Hoormann, J. K., Kim, A. G., King, A., Kuehn, K., Lewis, G., Lidman, C., Lin, H., Macaulay, E., Maia, M. A. G., Martini, P., Mudd, D., Möller, A., Nichol, R. C., Ogando, R. L. C., Rollins, R. P., Roodman, A., Ross, A. J., Rozo, E., Rykoff, E. S., Samuroff, S., Sevilla-Noarbe, I., Sharp, R., Sommer, N. E., Tucker, B. E., Uddin, S. A., Varga, T. N., Vielzeuf, P., Yuan, F., Zhang, B., Abbott, T. M. C., Abdalla, F. B., Allam, S., Annis, J., Bechtol, K., Benoit-Lévy, A., Bertin, E., Brooks, D., Buckley-Geer, E., Burke, D. L., Busha, M. T., Capozzi, D., Carretero, J., Crocce, M., D'Andrea, C. B., da Costa, L. N., DePoy, D. L., Desai, S., Diehl, H. T., Doel, P., Eifler, T. F., Estrada, J., Evrard, A. E., Fernandez, E., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gerdes, D. W., Giannantonio, T., Goldstein, D. A., Gruendl, R. A., Gutierrez, G., Honscheid, K., James, D. J., Jarvis, M., Jeltema, T., Johnson, M. W. G., Johnson, M. D., Kirk, D., Krause, E., Kuhlmann, S., Kuropatkin, N., Lahav, O., Li, T. S., Lima, M., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Nord, B., O'Neill, C. R., Plazas, A. A., Romer, A. K., Sako, M., Sanchez, E., Santiago, B., Scarpine, V., Schindler, R., Schubnell, M., Smith, M., Smith, R. C., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Vikram, V., Walker, A. R., Weller, J., Wester, W., Wolf, R. C., Yanny, B., and Zuntz, J.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We describe the derivation and validation of redshift distribution estimates and their uncertainties for the galaxies used as weak lensing sources in the Dark Energy Survey (DES) Year 1 cosmological analyses. The Bayesian Photometric Redshift (BPZ) code is used to assign galaxies to four redshift bins between z=0.2 and 1.3, and to produce initial estimates of the lensing-weighted redshift distributions $n^i_{PZ}(z)$ for bin i. Accurate determination of cosmological parameters depends critically on knowledge of $n^i$ but is insensitive to bin assignments or redshift errors for individual galaxies. The cosmological analyses allow for shifts $n^i(z)=n^i_{PZ}(z-\Delta z^i)$ to correct the mean redshift of $n^i(z)$ for biases in $n^i_{\rm PZ}$. The $\Delta z^i$ are constrained by comparison of independently estimated 30-band photometric redshifts of galaxies in the COSMOS field to BPZ estimates made from the DES griz fluxes, for a sample matched in fluxes, pre-seeing size, and lensing weight to the DES weak-lensing sources. In companion papers, the $\Delta z^i$ are further constrained by the angular clustering of the source galaxies around red galaxies with secure photometric redshifts at 0.15
Published: 2017
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23. Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing

Author: DES Collaboration, Abbott, T. M. C., Abdalla, F. B., Alarcon, A., Aleksić, J., Allam, S., Allen, S., Amara, A., Annis, J., Asorey, J., Avila, S., Bacon, D., Balbinot, E., Banerji, M., Banik, N., Barkhouse, W., Baumer, M., Baxter, E., Bechtol, K., Becker, M. R., Benoit-Lévy, A., Benson, B. A., Bernstein, G. M., Bertin, E., Blazek, J., Bridle, S. L., Brooks, D., Brout, D., Buckley-Geer, E., Burke, D. L., Busha, M. T., Capozzi, D., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Chen, N., Childress, M., Choi, A., Conselice, C., Crittenden, R., Crocce, M., Cunha, C. E., D'Andrea, C. B., da Costa, L. N., Das, R., Davis, T. M., Davis, C., De Vicente, J., DePoy, D. L., DeRose, J., Desai, S., Diehl, H. T., Dietrich, J. P., Dodelson, S., Doel, P., Drlica-Wagner, A., Eifler, T. F., Elliott, A. E., Elsner, F., Elvin-Poole, J., Estrada, J., Evrard, A. E., Fang, Y., Fernandez, E., Ferté, A., Finley, D. A., Flaugher, B., Fosalba, P., Friedrich, O., Frieman, J., García-Bellido, J., Garcia-Fernandez, M., Gatti, M., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gill, M. S. S., Glazebrook, K., Goldstein, D. A., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hamilton, S., Hartley, W. G., Hinton, S. R., Honscheid, K., Hoyle, B., Huterer, D., Jain, B., James, D. J., Jarvis, M., Jeltema, T., Johnson, M. D., Johnson, M. W. G., Kacprzak, T., Kent, S., Kim, A. G., King, A., Kirk, D., Kokron, N., Kovacs, A., Krause, E., Krawiec, C., Kremin, A., Kuehn, K., Kuhlmann, S., Kuropatkin, N., Lacasa, F., Lahav, O., Li, T. S., Liddle, A. R., Lidman, C., Lima, M., Lin, H., MacCrann, N., Maia, M. A. G., Makler, M., Manera, M., March, M., Marshall, J. L., Martini, P., McMahon, R. G., Melchior, P., Menanteau, F., Miquel, R., Miranda, V., Mudd, D., Muir, J., Möller, A., Neilsen, E., Nichol, R. C., Nord, B., Nugent, P., Ogando, R. L. C., Palmese, A., Peacock, J., Peiris, H. V., Peoples, J., Percival, W. J., Petravick, D., Plazas, A. A., Porredon, A., Prat, J., Pujol, A., Rau, M. M., Refregier, A., Ricker, P. M., Roe, N., Rollins, R. P., Romer, A. K., Roodman, A., Rosenfeld, R., Ross, A. J., Rozo, E., Rykoff, E. S., Sako, M., Salvador, A. I., Samuroff, S., Sánchez, C., Sanchez, E., Santiago, B., Scarpine, V., Schindler, R., Scolnic, D., Secco, L. F., Serrano, S., Sevilla-Noarbe, I., Sheldon, E., Smith, R. C., Smith, M., Smith, J., Soares-Santos, M., Sobreira, F., Suchyta, E., Tarle, G., Thomas, D., Troxel, M. A., Tucker, D. L., Tucker, B. E., Uddin, S. A., Varga, T. N., Vielzeuf, P., Vikram, V., Vivas, A. K., Walker, A. R., Wang, M., Wechsler, R. H., Weller, J., Wester, W., Wolf, R. C., Yanny, B., Yuan, F., Zenteno, A., Zhang, B., Zhang, Y., and Zuntz, J.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present cosmological results from a combined analysis of galaxy clustering and weak gravitational lensing, using 1321 deg$^2$ of $griz$ imaging data from the first year of the Dark Energy Survey (DES Y1). We combine three two-point functions: (i) the cosmic shear correlation function of 26 million source galaxies in four redshift bins, (ii) the galaxy angular autocorrelation function of 650,000 luminous red galaxies in five redshift bins, and (iii) the galaxy-shear cross-correlation of luminous red galaxy positions and source galaxy shears. To demonstrate the robustness of these results, we use independent pairs of galaxy shape, photometric redshift estimation and validation, and likelihood analysis pipelines. To prevent confirmation bias, the bulk of the analysis was carried out while blind to the true results; we describe an extensive suite of systematics checks performed and passed during this blinded phase. The data are modeled in flat $\Lambda$CDM and $w$CDM cosmologies, marginalizing over 20 nuisance parameters, varying 6 (for $\Lambda$CDM) or 7 (for $w$CDM) cosmological parameters including the neutrino mass density and including the 457 $\times$ 457 element analytic covariance matrix. We find consistent cosmological results from these three two-point functions, and from their combination obtain $S_8 \equiv \sigma_8 (\Omega_m/0.3)^{0.5} = 0.783^{+0.021}_{-0.025}$ and $\Omega_m = 0.264^{+0.032}_{-0.019}$ for $\Lambda$CDM for $w$CDM, we find $S_8 = 0.794^{+0.029}_{-0.027}$, $\Omega_m = 0.279^{+0.043}_{-0.022}$, and $w=-0.80^{+0.20}_{-0.22}$ at 68% CL. The precision of these DES Y1 results rivals that from the Planck cosmic microwave background measurements, allowing a comparison of structure in the very early and late Universe on equal terms. Although the DES Y1 best-fit values for $S_8$ and $\Omega_m$ are lower than the central values from Planck ..., Comment: Matches published version. Results essentially unchanged, except updated covariance matrix leads to improved chi^2 (colored text removed)
Published: 2017
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24. Dark Energy Survey Year 1 Results: Galaxy-Galaxy Lensing

Author: Prat, J., Sánchez, C., Fang, Y., Gruen, D., Elvin-Poole, J., Kokron, N., Secco, L. F., Jain, B., Miquel, R., MacCrann, N., Troxel, M. A., Alarcon, A., Bacon, D., Bernstein, G. M., Blazek, J., Cawthon, R., Chang, C., Crocce, M., Davis, C., De Vicente, J., Dietrich, J. P., Drlica-Wagner, A., Friedrich, O., Gatti, M., Hartley, W. G., Hoyle, B., Huff, E. M., Jarvis, M., Rau, M. M., Rollins, R. P., Ross, A. J., Rozo, E., Rykoff, E. S., Samuroff, S., Sheldon, E., Varga, T. N., Vielzeuf, P., Zuntz, J., Abbott, T. M. C., Abdalla, F. B., Allam, S., Annis, J., Bechtol, K., Benoit-Lévy, A., Bertin, E., Brooks, D., Buckley-Geer, E., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cunha, C. E., D'Andrea, C. B., da Costa, L. N., Desai, S., Diehl, H. T., Dodelson, S., Eifler, T. F., Fernandez, E., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Goldstein, D. A., Gruendl, R. A., Gschwend, J., Gutierrez, G., Honscheid, K., James, D. J., Jeltema, T., Johnson, M. W. G., Johnson, M. D., Kirk, D., Krause, E., Kuehn, K., Kuhlmann, S., Lahav, O., Li, T. S., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Martini, P., Melchior, P., Menanteau, F., Mohr, J. J., Nichol, R. C., Nord, B., Plazas, A. A., Romer, A. K., Roodman, A., Sako, M., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Smith, R. C., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Vikram, V., Walker, A. R., Wechsler, R. H., Yanny, B., and Zhang, Y.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present galaxy-galaxy lensing measurements from 1321 sq. deg. of the Dark Energy Survey (DES) Year 1 (Y1) data. The lens sample consists of a selection of 660,000 red galaxies with high-precision photometric redshifts, known as redMaGiC, split into five tomographic bins in the redshift range $0.15 < z < 0.9$. We use two different source samples, obtained from the Metacalibration (26 million galaxies) and Im3shape (18 million galaxies) shear estimation codes, which are split into four photometric redshift bins in the range $0.2 < z < 1.3$. We perform extensive testing of potential systematic effects that can bias the galaxy-galaxy lensing signal, including those from shear estimation, photometric redshifts, and observational properties. Covariances are obtained from jackknife subsamples of the data and validated with a suite of log-normal simulations. We use the shear-ratio geometric test to obtain independent constraints on the mean of the source redshift distributions, providing validation of those obtained from other photo-$z$ studies with the same data. We find consistency between the galaxy bias estimates obtained from our galaxy-galaxy lensing measurements and from galaxy clustering, therefore showing the galaxy-matter cross-correlation coefficient $r$ to be consistent with one, measured over the scales used for the cosmological analysis. The results in this work present one of the three two-point correlation functions, along with galaxy clustering and cosmic shear, used in the DES cosmological analysis of Y1 data, and hence the methodology and the systematics tests presented here provide a critical input for that study as well as for future cosmological analyses in DES and other photometric galaxy surveys., Comment: 26 pages, 19 figures. Matches the version accepted by PRD
Published: 2017
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25. Dark Energy Survey Year 1 Results: Photometric Data Set for Cosmology

Author: Drlica-Wagner, A., Sevilla-Noarbe, I., Rykoff, E. S., Gruendl, R. A., Yanny, B., Tucker, D. L., Hoyle, B., Rosell, A. Carnero, Bernstein, G. M., Bechtol, K., Becker, M. R., Benoit-Levy, A., Bertin, E., Kind, M. Carrasco, Davis, C., de Vicente, J., Diehl, H. T., Gruen, D., Hartley, W. G., Leistedt, B., Li, T. S., Marshall, J. L., Neilsen, E., Rau, M. M., Sheldon, E., Smith, J., Troxel, M. A., Wyatt, S., Zhang, Y., Abbott, T. M. C., Abdalla, F. B., Allam, S., Banerji, M., Brooks, D., Buckley-Geer, E., Burke, D. L., Capozzi, D., Carretero, J., Cunha, C. E., D'Andrea, C. B., da Costa, L. N., DePoy, D. L., Desai, S., Dietrich, J. P., Doel, P., Evrard, A. E., Neto, A. Fausti, Flaugher, B., Fosalba, P., Frieman, J., Garcia-Bellido, J., Gerdes, D. W., Giannantonio, T., Gschwend, J., Gutierrez, G., Honscheid, K., James, D. J., Jeltema, T., Kuehn, K., Kuhlmann, S., Kuropatkin, N., Lahav, O., Lima, M., Lin, H., Maia, M. A. G., Martini, P., McMahon, R. G., Melchior, P., Menanteau, F., Miquel, R., Nichol, R. C., Ogando, R. L. C., Plazas, A. A., Romer, A. K., Roodman, A., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Smith, M., Smith, R. C., Soares-Santos, M., Sobreira, F., Suchyta, E., Tarle, G., Vikram, V., Walker, A. R., Wechsler, R. H., and Zuntz, J.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: We describe the creation, content, and validation of the Dark Energy Survey (DES) internal year-one cosmology data set, Y1A1 GOLD, in support of upcoming cosmological analyses. The Y1A1 GOLD data set is assembled from multiple epochs of DES imaging and consists of calibrated photometric zeropoints, object catalogs, and ancillary data products - e.g., maps of survey depth and observing conditions, star-galaxy classification, and photometric redshift estimates - that are necessary for accurate cosmological analyses. The Y1A1 GOLD wide-area object catalog consists of ~137 million objects detected in coadded images covering ~1800 deg$^2$ in the DES grizY filters. The 10{\sigma} limiting magnitude for galaxies is g = 23.4, r = 23.2, i = 22.5, z = 21.8, and Y = 20.1. Photometric calibration of Y1A1 GOLD was performed by combining nightly zeropoint solutions with stellar-locus regression, and the absolute calibration accuracy is better than 2% over the survey area. DES Y1A1 GOLD is the largest photometric data set at the achieved depth to date, enabling precise measurements of cosmic acceleration at z $\lesssim$ 1., Comment: 43 pages, 28 figures, 8 tables; updated to match published version
Published: 2017
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26. Photometric redshift analysis in the Dark Energy Survey Science Verification data

Author: Sánchez, C., Kind, M. Carrasco, Lin, H., Miquel, R., Abdalla, F. B., Amara, A., Banerji, M., Bonnett, C., Brunner, R., Capozzi, D., Carnero, A., Castander, F. J., da Costa, L. A. N., Cunha, C., Fausti, A., Gerdes, D., Greisel, N., Gschwend, J., Hartley, W., Jouvel, S., Lahav, O., Lima, M., Maia, M. A. G., Martí, P., Ogando, R. L. C., Ostrovski, F., Pellegrini, P., Rau, M. M., Sadeh, I., Seitz, S., Sevilla-Noarbe, I., Sypniewski, A., de Vicente, J., Abbot, T., Allam, S. S., Atlee, D., Bernstein, G., Bernstein, J. P., Buckley-Geer, E., Burke, D., Childress, M. J., Davis, T., DePoy, D. L., Dey, A., Desai, S., Diehl, H. T., Doel, P., Estrada, J., Evrard, A., Fernández, E., Finley, D., Flaugher, B., Gaztanaga, E., Glazebrook, K., Honscheid, K., Kim, A., Kuehn, K., Kuropatkin, N., Lidman, C., Makler, M., Marshall, J. L., Nichol, R. C., Roodman, A., Sánchez, E., Santiago, B. X., Sako, M., Scalzo, R., Smith, R. C., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Uddin, S. A., Valdés, F., Walker, A., Yuan, F., and Zuntz, J.
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present results from a study of the photometric redshift performance of the Dark Energy Survey (DES), using the early data from a Science Verification (SV) period of observations in late 2012 and early 2013 that provided science-quality images for almost 200 sq.~deg.~at the nominal depth of the survey. We assess the photometric redshift performance using about 15000 galaxies with spectroscopic redshifts available from other surveys. These galaxies are used, in different configurations, as a calibration sample, and photo-$z$'s are obtained and studied using most of the existing photo-$z$ codes. A weighting method in a multi-dimensional color-magnitude space is applied to the spectroscopic sample in order to evaluate the photo-$z$ performance with sets that mimic the full DES photometric sample, which is on average significantly deeper than the calibration sample due to the limited depth of spectroscopic surveys. Empirical photo-$z$ methods using, for instance, Artificial Neural Networks or Random Forests, yield the best performance in the tests, achieving core photo-$z$ resolutions $\sigma_{68} \sim 0.08$. Moreover, the results from most of the codes, including template fitting methods, comfortably meet the DES requirements on photo-$z$ performance, therefore, providing an excellent precedent for future DES data sets., Comment: Published in MNRAS. This version accounts for minor comments in the journal review
Published: 2014
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27. Cosmic shear in harmonic space from the Dark Energy Survey Year 1 Data: compatibility with configuration space results

Author: Camacho, H, primary, Andrade-Oliveira, F, additional, Troja, A, additional, Rosenfeld, R, additional, Faga, L, additional, Gomes, R, additional, Doux, C, additional, Fang, X, additional, Lima, M, additional, Miranda, V, additional, Eifler, T F, additional, Friedrich, O, additional, Gatti, M, additional, Bernstein, G M, additional, Blazek, J, additional, Bridle, S L, additional, Choi, A, additional, Davis, C, additional, DeRose, J, additional, Gaztanaga, E, additional, Gruen, D, additional, Hartley, W G, additional, Hoyle, B, additional, Jarvis, M, additional, MacCrann, N, additional, Prat, J, additional, Rau, M M, additional, Samuroff, S, additional, Sánchez, C, additional, Sheldon, E, additional, Troxel, M A, additional, Vielzeuf, P, additional, Zuntz, J, additional, Abbott, T M C, additional, Aguena, M, additional, Allam, S, additional, Annis, J, additional, Bacon, D, additional, Bertin, E, additional, Brooks, D, additional, Burke, D L, additional, Rosell, A Carnero, additional, Kind, M Carrasco, additional, Carretero, J, additional, Castander, F J, additional, Cawthon, R, additional, Costanzi, M, additional, da Costa, L N, additional, Pereira, M E S, additional, De Vicente, J, additional, Desai, S, additional, Diehl, H T, additional, Doel, P, additional, Everett, S, additional, Evrard, A E, additional, Ferrero, I, additional, Flaugher, B, additional, Fosalba, P, additional, Friedel, D, additional, Frieman, J, additional, García-Bellido, J, additional, Gerdes, D W, additional, Gruendl, R A, additional, Gschwend, J, additional, Gutierrez, G, additional, Hinton, S R, additional, Hollowood, D L, additional, Honscheid, K, additional, Huterer, D, additional, James, D J, additional, Kuehn, K, additional, Kuropatkin, N, additional, Lahav, O, additional, Maia, M A G, additional, Marshall, J L, additional, Melchior, P, additional, Menanteau, F, additional, Miquel, R, additional, Morgan, R, additional, Paz-Chinchón, F, additional, Petravick, D, additional, Pieres, A, additional, Malagón, A A Plazas, additional, Reil, K, additional, Rodriguez-Monroy, M, additional, Sanchez, E, additional, Scarpine, V, additional, Schubnell, M, additional, Serrano, S, additional, Sevilla-Noarbe, I, additional, Smith, M, additional, Soares-Santos, M, additional, Suchyta, E, additional, Tarle, G, additional, Thomas, D, additional, To, C, additional, Varga, T N, additional, Weller, J, additional, Wilkinson, R D, additional, and Collaboration), (D E S, additional
Published: 2022
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28. Lensing without borders – I. A blind comparison of the amplitude of galaxy–galaxy lensing between independent imaging surveys

Author: Leauthaud, A, primary, Amon, A, additional, Singh, S, additional, Gruen, D, additional, Lange, J U, additional, Huang, S, additional, Robertson, N C, additional, Varga, T N, additional, Luo, Y, additional, Heymans, C, additional, Hildebrandt, H, additional, Blake, C, additional, Aguena, M, additional, Allam, S, additional, Andrade-Oliveira, F, additional, Annis, J, additional, Bertin, E, additional, Bhargava, S, additional, Blazek, J, additional, Bridle, S L, additional, Brooks, D, additional, Burke, D L, additional, Rosell, A Carnero, additional, Carrasco Kind, M, additional, Carretero, J, additional, Castander, F J, additional, Cawthon, R, additional, Choi, A, additional, Costanzi, M, additional, da Costa, L N, additional, Pereira, M E S, additional, Davis, C, additional, De Vicente, J, additional, DeRose, J, additional, Diehl, H T, additional, Dietrich, J P, additional, Doel, P, additional, Eckert, K, additional, Everett, S, additional, Evrard, A E, additional, Ferrero, I, additional, Flaugher, B, additional, Fosalba, P, additional, García-Bellido, J, additional, Gatti, M, additional, Gaztanaga, E, additional, Gruendl, R A, additional, Gschwend, J, additional, Hartley, W G, additional, Hollowood, D L, additional, Honscheid, K, additional, Jain, B, additional, James, D J, additional, Jarvis, M, additional, Joachimi, B, additional, Kannawadi, A, additional, Kim, A G, additional, Krause, E, additional, Kuehn, K, additional, Kuijken, K, additional, Kuropatkin, N, additional, Lima, M, additional, MacCrann, N, additional, Maia, M A G, additional, Makler, M, additional, March, M, additional, Marshall, J L, additional, Melchior, P, additional, Menanteau, F, additional, Miquel, R, additional, Miyatake, H, additional, Mohr, J J, additional, Moraes, B, additional, More, S, additional, Surhud, M, additional, Morgan, R, additional, Myles, J, additional, Ogando, R L C, additional, Palmese, A, additional, Paz-Chinchón, F, additional, Malagón, A A Plazas, additional, Prat, J, additional, Rau, M M, additional, Rhodes, J, additional, Rodriguez-Monroy, M, additional, Roodman, A, additional, Ross, A J, additional, Samuroff, S, additional, Sánchez, C, additional, Sanchez, E, additional, Scarpine, V, additional, Schlegel, D J, additional, Schubnell, M, additional, Serrano, S, additional, Sevilla-Noarbe, I, additional, Sifón, C, additional, Smith, M, additional, Speagle, J S, additional, Suchyta, E, additional, Tarle, G, additional, Thomas, D, additional, Tinker, J, additional, To, C, additional, Troxel, M A, additional, Van Waerbeke, L, additional, Vielzeuf, P, additional, and Wright, A H, additional
Published: 2021
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29. Euclid preparation

Author: Collaboration, Euclid, Desprez, G., Almosallam, I., Alvarez-Ayllon, A., Amaro, V., Brodwin, M., De Vicente-Albendea, J., Fotopoulou, S., Hatfield, P. W., Hartley, W. G., Ilbert, O., Jarvis, M. J., Longo, G., Saha, R., Speagle, J. S., Tramacere, A., Dubath, F., Galametz, A., Kuemmel, M., Laigle, C., Merlin, E., Mohr, J. J., Pilo, S., Salvato, M., Rau, M. M., Bonino, D., Brinchmann, J., Castander, F. J., Cimatti, A., Cuby, J. -G., Degaudenzi, H., Douspis, M., Ealet, A., Fabricius, M., Fosalba, P., Fourmanoit, N., Fumana, M., Gillard, W., Gillis, B., Hailey, M., Haugan, S. V. H., Humphrey, A., Kilbinger, M., Kitching, T. D., Kohley, R., Maiorano, E., Maturi, M., Mei, S., Metcalf, R. Benton, Popa, L., Pozzetti, L., Rossetti, E., Stern, D., Tavagnacco, D., Zamorani, G., Zoubian, J., Benton Metcalf, R., Tallada Crespí, P., Knabenhans, M., Stadel, J., Potter, D., Dakin, J., Hannestad, S., Tram, T., Marelli, S., Schneider, A., Teyssier, R., Andreon, S., Auricchio, N., Baccigalupi, C., Balaguera-Antolínez, A., Baldi, M., Bardelli, S., Battaglia, P., Bender, R., Biviano, A., Bodendorf, C., Bozzo, E., Branchini, E., Brescia, M., Burigana, C., Cabanac, R., Camera, S., Capobianco, V., Cappi, A., Carbone, C., Carretero, J., Carvalho, C. S., Casas, R., Casas, S., Castellano, M., Castignani, G., Cavuoti, S., Cledassou, R., Colodro-Conde, C., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Corcione, L., Coupon, J., Courtois, H. M., Da Silva, A., de la Torre, S., Di Ferdinando, D., Duncan, C. A. J., Dupac, X., Fabbian, G., Farrens, S., Ferreira, P. G., Finelli, F., Frailis, M., Franceschi, E., Galeotta, S., Garilli, B., Giocoli, C., Gozaliasl, G., Graciá-Carpio, J., Grupp, F., Guzzo, L., Holmes, W., Hormuth, F., Israel, H., Jahnke, K., Keihanen, E., Kermiche, S., Kirkpatrick, C. C., Kubik, B., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Maino, D., Marggraf, O., Markovic, K., Martinet, N., Marulli, F., Massey, R., Mauri, N., Maurogordato, S., Medinaceli, E., Meneghetti, M., Metcalf, B., Meylan, G., Moresco, M., Morin, B., Moscardini, L., Munari, E., Neissner, C., Niemi, S. M., Padilla, C., Paltani, S., Pasian, F., Patrizii, L., Pettorino, V., Pires, S., Polenta, G., Poncet, M., Raison, F., Renzi, A., Rhodes, J., Riccio, G., Romelli, E., Roncarelli, M., Saglia, R., Sánchez, A. G., Sapone, D., Schneider, P., Scottez, V., Secroun, A., Serrano, S., Sirignano, C., Sirri, G., Stanco, L., Sureau, F., Crespí, P. Tallada, Taylor, A. N., Tenti, M., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Valenziano, L., Valiviita, J., Vassallo, T., Viel, M., Wang, Y., Welikala, N., Whittaker, L., Zacchei, A., Zucca, E., Joseph Louis LAGRANGE (LAGRANGE), Centre National de la Recherche Scientifique (CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), and COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)
Subjects: [SDU]Sciences of the Universe [physics], Astrophysics::Cosmology and Extragalactic Astrophysics
Abstract: Accepted in A&A, 25 pages, 13 figures, 7 tables; Forthcoming large photometric surveys for cosmology require precise and accurate photometric redshift (photo-z) measurements for the success of their main science objectives. However, to date, no method has been able to produce photo-$z$s at the required accuracy using only the broad-band photometry that those surveys will provide. An assessment of the strengths and weaknesses of current methods is a crucial step in the eventual development of an approach to meet this challenge. We report on the performance of 13 photometric redshift code single value redshift estimates and redshift probability distributions (PDZs) on a common set of data, focusing particularly on the 0.2--2.6 redshift range that the Euclid mission will probe. We design a challenge using emulated Euclid data drawn from three photometric surveys of the COSMOS field. The data are divided into two samples: one calibration sample for which photometry and redshifts are provided to the participants; and the validation sample, containing only the photometry, to ensure a blinded test of the methods. Participants were invited to provide a redshift single value estimate and a PDZ for each source in the validation sample, along with a rejection flag that indicates sources they consider unfit for use in cosmological analyses. The performance of each method is assessed through a set of informative metrics, using cross-matched spectroscopic and highly-accurate photometric redshifts as the ground truth. We show that the rejection criteria set by participants are efficient in removing strong outliers, sources for which the photo-z deviates by more than 0.15(1+z) from the spectroscopic-redshift (spec-z). We also show that, while all methods are able to provide reliable single value estimates, several machine-learning methods do not manage to produce useful PDZs. [abridged]
Published: 2020

30. Euclid preparation

Author: Desprez, G., Paltani, S., Coupon, J., Almosallam, I., Alvarez-Ayllon, A., Amaro, V., Brescia, M., Brodwin, M., Cavuoti, S., De Vicente-Albendea, J., Fotopoulou, S., Hatfield, P. W., Hartley, W. G., Ilbert, O., Jarvis, M. J., Longo, G., Rau, M. M., Saha, R., Speagle, J. S., Tramacere, A., Castellano, M., Dubath, F., Galametz, A., Kuemmel, M., Laigle, C., Merlin, E., Mohr, J. J., Pilo, S., Salvato, M., Andreon, S., Auricchio, N., Baccigalupi, C., Balaguera-Antolínez, A., Baldi, M., Bardelli, S., Bender, R., Biviano, A., Bodendorf, C., Bonino, D., Bozzo, E., Branchini, E., Brinchmann, J., Burigana, C., Cabanac, R., Camera, S., Capobianco, V., Cappi, A., Carbone, C., Carretero, J., Carvalho, C. S., Casas, R., Casas, S., Castander, F. J., Castignani, G., Cimatti, A., Cledassou, R., Colodro-Conde, C., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Corcione, L., Courtois, H. M., Cuby, J. -G., Da Silva, A., de la Torre, S., Degaudenzi, H., Di Ferdinando, D., Douspis, M., Duncan, C. A. J., Dupac, X., Ealet, A., Fabbian, G., Fabricius, M., Farrens, S., Ferreira, P. G., Finelli, F., Fosalba, P., Fourmanoit, N., Frailis, M., Franceschi, E., Fumana, M., Galeotta, S., Garilli, B., Gillard, W., Gillis, B., Giocoli, C., Gozaliasl, G., Graciá-Carpio, J., Grupp, F., Guzzo, L., Hailey, M., Haugan, S. V. H., Holmes, W., Hormuth, F., Humphrey, A., Jahnke, K., Keihanen, E., Kermiche, S., Kilbinger, M., Kirkpatrick, C. C., Kitching, T. D., Kohley, R., Kubik, B., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Maino, D., Maiorano, E., Marggraf, O., Markovic, K., Martinet, N., Marulli, F., Massey, R., Maturi, M., Mauri, N., Maurogordato, S., Medinaceli, E., Mei, S., Meneghetti, M., Benton Metcalf, R., Meylan, G., Moresco, M., Moscardini, L., Munari, E., Niemi, S., Padilla, C., Pasian, F., Patrizii, L., Pettorino, V., Pires, S., Polenta, G., Poncet, M., Popa, L., Potter, D., Pozzetti, L., Raison, F., Renzi, A., Rhodes, J., Riccio, G., Rossetti, E., Saglia, R., Sapone, D., Schneider, P., Scottez, V., Secroun, A., Serrano, S., Sirignano, C., Sirri, G., Stanco, L., Stern, D., Sureau, F., Tallada Crespí, P., Tavagnacco, D., Taylor, A. N., Tenti, M., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Valenziano, L., Valiviita, J., Vassallo, T., Viel, M., Wang, Y., Welikala, N., Whittaker, L., Zacchei, A., Zamorani, G., Zoubian, J., and Zucca, E.
Published: 2020

31. Dark Energy Survey year 1 results: Joint analysis of galaxy clustering, galaxy lensing, and CMB lensing two-point functions

Author: Abbott, T. M. C., Abdalla, F. B., Alarcon, A., Allam, S., Annis, J., Avila, S., Aylor, K., Banerji, M., Banik, N., Baxter, E. J., Bechtol, K., Becker, M. R., Benson, B. A., Bernstein, G. M., Bertin, E., Bianchini, F., Blazek, J., Bleem, L., Bleem, L. E., Bridle, S. L., Brooks, D., Buckley-Geer, E., Burke, D. L., Carlstrom, J. E., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Chang, C. L., Cho, H-M., Choi, A., Chown, R., Crawford, T. M., Crites, A. T., Crocce, M., Cunha, C. E., D'Andrea, C. B., da Costa, L. N., Davis, C., de Haan, T., DeRose, J., Desai, S., De Vicente, J., Diehl, H. T., Dietrich, J. P., Dobbs, M. A., Dodelson, S., Doel, P., Drlica-Wagner, A., Eifler, T. F., Elvin-Poole, J., Everett, W. B., Flaugher, B., Fosalba, P., Friedrich, O., Frieman, J., Garc��a-Bellido, J., Gatti, M., Gaztanaga, E., George, E. M., Gerdes, D. W., Giannantonio, T., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Halverson, N. W., Harrington, N. L., Hartley, W. G., Holder, G. P., Hollowood, D. L., Holzapfel, W. L., Honscheid, K., Hou, Z., Hoyle, B., Hrubes, J. D., Huterer, D., Jain, B., James, D. J., Jarvis, M., Jeltema, T., Johnson, M. W. G., Johnson, M. D., Kent, S., Kirk, D., Knox, L., Kokron, N., Krause, E., Kuehn, K., Lahav, O., Lee, A. T., Leitch, E. M., Li, T. S., Lima, M., Lin, H., Luong-Van, D., MacCrann, N., Maia, M. A. G., Manzotti, A., Marrone, D. P., Marshall, J. L., Martini, P., McMahon, J. J., Menanteau, F., Meyer, S. S., Miquel, R., Mocanu, L. M., Mohr, J. J., Muir, J., Natoli, T., Nicola, A., Nord, B., Omori, Y., Padin, S., Pandey, S., Plazas, A. A., Porredon, A., Prat, J., Pryke, C., Rau, M. M., Reichardt, C. L., Rollins, R. P., Romer, A. K., Roodman, A., Ross, A. J., Rozo, E., Ruhl, J. E., Rykoff, E. S., Samuroff, S., S��nchez, C., Sanchez, E., Sayre, J. T., Scarpine, V., Schaffer, K. K., Secco, L. F., Serrano, S., Sevilla-Noarbe, I., Sheldon, E., Shirokoff, E., Simard, G., Smith, M., Soares-Santos, M., Sobreira, F., Staniszewski, Z., Stark, A. A., Story, K. T., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Troxel, M. A., Tucker, D. L., Vanderlinde, K., Vieira, J. D., Vielzeuf, P., Vikram, V., Walker, A. R., Wechsler, R. H., Weller, J., Williamson, R., Wu, W. L. K., Yanny, B., Zahn, O., Zhang, Y., Zuntz, J., Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, and SPT
Subjects: Physics, Cosmology and Nongalactic Astrophysics (astro-ph.CO), 010308 nuclear & particles physics, Cosmic microwave background, FOS: Physical sciences, Context (language use), Field (mathematics), Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Omega, Galaxy, Cosmology, South Pole Telescope, 0103 physical sciences, Dark energy, astro-ph.CO, LENTES GRAVITACIONAIS, 010306 general physics, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Weak gravitational lensing, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We perform a joint analysis of the auto and cross-correlations between three cosmic fields: the galaxy density field, the galaxy weak lensing shear field, and the cosmic microwave background (CMB) weak lensing convergence field. These three fields are measured using roughly 1300 sq. deg. of overlapping optical imaging data from first year observations of the Dark Energy Survey and millimeter-wave observations of the CMB from both the South Pole Telescope Sunyaev-Zel'dovich survey and Planck. We present cosmological constraints from the joint analysis of the two-point correlation functions between galaxy density and galaxy shear with CMB lensing. We test for consistency between these measurements and the DES-only two-point function measurements, finding no evidence for inconsistency in the context of flat $\Lambda$CDM cosmological models. Performing a joint analysis of five of the possible correlation functions between these fields (excluding only the CMB lensing autospectrum) yields $S_{8}\equiv \sigma_8\sqrt{\Omega_{\rm m}/0.3} = 0.782^{+0.019}_{-0.025}$ and $\Omega_{\rm m}=0.260^{+0.029}_{-0.019}$. We test for consistency between these five correlation function measurements and the Planck-only measurement of the CMB lensing autospectrum, again finding no evidence for inconsistency in the context of flat $\Lambda$CDM models. Combining constraints from all six two-point functions yields $S_{8}=0.776^{+0.014}_{-0.021}$ and $\Omega_{\rm m}= 0.271^{+0.022}_{-0.016}$. These results provide a powerful test and confirmation of the results from the first year DES joint-probes analysis., Comment: 20 pages, 7 figures
Published: 2019
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32. Dark energy survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions.

Author: Doux, C, Baxter, E, Lemos, P, Chang, C, Alarcon, A, Amon, A, Campos, A, Choi, A, Gatti, M, Gruen, D, Jarvis, M, MacCrann, N, Park, Y, Prat, J, Rau, M M, Raveri, M, Samuroff, S, DeRose, J, Hartley, W G, and Hoyle, B
Subjects: TEST reliability, DARK energy, VECTOR data, GOODNESS-of-fit tests, LARGE scale structure (Astronomy), GRAVITATIONAL lenses
Abstract: Beyond ΛCDM, physics or systematic errors may cause subsets of a cosmological data set to appear inconsistent when analysed assuming ΛCDM. We present an application of internal consistency tests to measurements from the Dark Energy Survey Year 1 (DES Y1) joint probes analysis. Our analysis relies on computing the posterior predictive distribution (PPD) for these data under the assumption of ΛCDM. We find that the DES Y1 data have an acceptable goodness of fit to ΛCDM, with a probability of finding a worse fit by random chance of p = 0.046. Using numerical PPD tests, supplemented by graphical checks, we show that most of the data vector appears completely consistent with expectations, although we observe a small tension between large- and small-scale measurements. A small part (roughly 1.5 per cent) of the data vector shows an unusually large departure from expectations; excluding this part of the data has negligible impact on cosmological constraints, but does significantly improve the p -value to 0.10. The methodology developed here will be applied to test the consistency of DES Year 3 joint probes data sets. [ABSTRACT FROM AUTHOR]
Published: 2021
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33. Is diffuse intracluster light a good tracer of the galaxy cluster matter distribution?

Author: Sampaio-Santos, H, Zhang, Y, Ogando, R L C, Shin, T, Golden-Marx, Jesse B, Yanny, B, Herner, K, Hilton, M, Choi, A, Gatti, M, Gruen, D, Hoyle, B, Rau, M M, De Vicente, J, Zuntz, J, Abbott, T M C, Aguena, M, Allam, S, Annis, J, and Avila, S
Subjects: GALAXY clusters, STELLAR mass, GALAXY formation, DARK energy, MATTER, SPECIAL effects in lighting
Abstract: We explore the relation between diffuse intracluster light (central galaxy included) and the galaxy cluster (baryonic and dark) matter distribution using a sample of 528 clusters at 0.2 ≤ z ≤ 0.35 found in the Dark Energy Survey (DES) Year 1 data. The surface brightness of the diffuse light shows an increasing dependence on cluster total mass at larger radius, and appears to be self-similar with a universal radial dependence after scaling by cluster radius. We also compare the diffuse light radial profiles to the cluster (baryonic and dark) matter distribution measured through weak lensing and find them to be comparable. The IllustrisTNG galaxy formation simulation, TNG300, offers further insight into the connection between diffuse stellar mass and cluster matter distributions – the simulation radial profile of the diffuse stellar component does not have a similar slope with the total cluster matter content, although that of the cluster satellite galaxies does. Regardless of the radial trends, the amount of diffuse stellar mass has a low-scatter scaling relation with cluster's total mass in the simulation, out-performing the total stellar mass of cluster satellite galaxies. We conclude that there is no consistent evidence yet on whether or not diffuse light is a faithful radial tracer of the cluster matter distribution. Nevertheless, both observational and simulation results reveal that diffuse light is an excellent indicator of the cluster's total mass. [ABSTRACT FROM AUTHOR]
Published: 2021
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34. The Line Emission Mapper (LEM) probe mission concept

Author: den Herder, Jan-Willem A., Nikzad, Shouleh, Nakazawa, Kazuhiro, Kraft, R., Bogdán, Á., ZuHone, J., Adams, J. S., Alvarado-Gómez, J. D., Argiroffi, C., Ayromlou, M., Azadi, M., Bandler, S. R., Barbera, M., Bhardwaj, A., Biffi, V., Bodewits, D., Boettcher, E., Branham, B., Burchett, J. N., Burke, D. J., Cann, J., Carter, J. A., Castro, D., Chakraborty, P., Chan, K. W., Chen, S., Churazov, E., Coderre, K., Corcoran, M. F., Cumbee, R. S., DePalo, S. V., Dolag, K., Donahue, M., Doriese, W. B., Drake, J. J., Dunn, W., Eckart, M. E., Eckert, D., Ettori, S., Ezoe, Y., Feldman, C. H., Flaccomio, E., Forman, W. R., Galeazzi, M., Gall, A. C., Garraffo, C., Gonzalez, M., Grosso, N., Hartley, J., Hell, N., Hernquist, L., Hodges-Kluck, E., Houston, J., Hull, S. V., Islam, N., Janas, P. M., Jennings, F. J., Jones, C., Kaaret, P., Kanner, H., Karovska, M., Kashyap, V., Kavanagh, P. J., Kelley, R. L., Khabibullin, I., Kilbourne, C. A., Kim, C.-G., Koutroumpa, D., Kovács, O. E., Kuntz, K. D., Lee, S.-H., Leutenegger, M. A., Linn, T., Lotti, S., Markevitch, M., Martin, K., May, L., McCammon, D., McEntee, S. C., Mei, S., Mernier, F., Miceli, M., Miller, J. B., Mirakhor, M. S., Monsch, K., Nazé, Y., Nelson, D., Nordt, A. A., Ogorzalek, A., Olson, J., Orlando, S., Osborne, E., Oskinova, L. M., Patnaude, D., Pfeifle, R. W., Pinto, C., Plucinsky, P., Ponti, G., Porquet, D., Porter, F. S., Préle, D., Ramm, S., Randall, S. W., Rasia, E., Rau, M. M., Richardson, S., Sakai, K. S., Sarkar, A., Schellenberger, G., Sciortino, S., Schaye, J., Simionescu, A., Smith, S. J., Sobolewska, M., Steiner, J. F., Stern, J., Su, Y., Sun, M., Truong, N., Ursino, E., Valentini, M., Veilleux, S., Vladutescu-Zopp, S., Vogelsberger, M., Wakeham, N. A., Walker, S. A., Wang, Q. D., Wargelin, B., Weaver, K. A., Werk, J. K., Werner, N., Wolk, S. J., Zhang, C., Zhang, W. W., and Zhuravleva, I.
Published: 2024
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35. Dark Energy Survey Year 1 Results: calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations

Author: Cawthon, R, primary, Davis, C, additional, Gatti, M, additional, Vielzeuf, P, additional, Elvin-Poole, J, additional, Rozo, E, additional, Frieman, J, additional, Rykoff, E S, additional, Alarcon, A, additional, Bernstein, G M, additional, Bonnett, C, additional, Rosell, A Carnero, additional, Castander, F J, additional, Chang, C, additional, da Costa, L N, additional, De Vicente, J, additional, DeRose, J, additional, Drlica-Wagner, A, additional, Gaztanaga, E, additional, Giannantonio, T, additional, Gruen, D, additional, Gschwend, J, additional, Hartley, W G, additional, Hoyle, B, additional, Lin, H, additional, Maia, M A G, additional, Miquel, R, additional, Ogando, R L C, additional, Rau, M M, additional, Roodman, A, additional, Ross, A J, additional, Sevilla-Noarbe, I, additional, Troxel, M A, additional, Wechsler, R H, additional, Abbott, T M C, additional, Abdalla, F B, additional, Allam, S, additional, Annis, J, additional, Avila, S, additional, Banerji, M, additional, Bechtol, K, additional, Bernstein, R A, additional, Bertin, E, additional, Brooks, D, additional, Burke, D L, additional, Kind, M Carrasco, additional, Carretero, J, additional, Cunha, C E, additional, D’Andrea, C B, additional, DePoy, D L, additional, Desai, S, additional, Diehl, H T, additional, Doel, P, additional, Eifler, T F, additional, Evrard, A E, additional, Flaugher, B, additional, Fosalba, P, additional, García-Bellido, J, additional, Gerdes, D W, additional, Gruendl, R A, additional, Gutierrez, G, additional, Hollowood, D, additional, Honscheid, K, additional, James, D J, additional, Jeltema, T, additional, Krause, E, additional, Kuehn, K, additional, Kuhlmann, S, additional, Kuropatkin, N, additional, Lahav, O, additional, Lima, M, additional, Marshall, J L, additional, Martini, P, additional, Menanteau, F, additional, Miller, C J, additional, Plazas, A A, additional, Sanchez, E, additional, Scarpine, V, additional, Schindler, R, additional, Schubnell, M, additional, Sheldon, E, additional, Smith, M, additional, Smith, R C, additional, Soares-Santos, M, additional, Sobreira, F, additional, Suchyta, E, additional, Swanson, M E C, additional, Tarle, G, additional, Thomas, D, additional, Tucker, D L, additional, Walker, A R, additional, and Collaboration), (DES, additional
Published: 2018
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36. Dark Energy Survey Year 1 results: cross-correlation redshifts – methods and systematics characterization

Author: Gatti, M, primary, Vielzeuf, P, additional, Davis, C, additional, Cawthon, R, additional, Rau, M M, additional, DeRose, J, additional, De Vicente, J, additional, Alarcon, A, additional, Rozo, E, additional, Gaztanaga, E, additional, Hoyle, B, additional, Miquel, R, additional, Bernstein, G M, additional, Bonnett, C, additional, Carnero Rosell, A, additional, Castander, F J, additional, Chang, C, additional, da Costa, L N, additional, Gruen, D, additional, Gschwend, J, additional, Hartley, W G, additional, Lin, H, additional, MacCrann, N, additional, Maia, M A G, additional, Ogando, R L C, additional, Roodman, A, additional, Sevilla-Noarbe, I, additional, Troxel, M A, additional, Wechsler, R H, additional, Asorey, J, additional, Davis, T M, additional, Glazebrook, K, additional, Hinton, S R, additional, Lewis, G, additional, Lidman, C, additional, Macaulay, E, additional, Möller, A, additional, O'Neill, C R, additional, Sommer, N E, additional, Uddin, S A, additional, Yuan, F, additional, Zhang, B, additional, Abbott, T M C, additional, Allam, S, additional, Annis, J, additional, Bechtol, K, additional, Brooks, D, additional, Burke, D L, additional, Carollo, D, additional, Carrasco Kind, M, additional, Carretero, J, additional, Cunha, C E, additional, D'Andrea, C B, additional, DePoy, D L, additional, Desai, S, additional, Eifler, T F, additional, Evrard, A E, additional, Flaugher, B, additional, Fosalba, P, additional, Frieman, J, additional, García-Bellido, J, additional, Gerdes, D W, additional, Goldstein, D A, additional, Gruendl, R A, additional, Gutierrez, G, additional, Honscheid, K, additional, Hoormann, J K, additional, Jain, B, additional, James, D J, additional, Jarvis, M, additional, Jeltema, T, additional, Johnson, M W G, additional, Johnson, M D, additional, Krause, E, additional, Kuehn, K, additional, Kuhlmann, S, additional, Kuropatkin, N, additional, Li, T S, additional, Lima, M, additional, Marshall, J L, additional, Melchior, P, additional, Menanteau, F, additional, Nichol, R C, additional, Nord, B, additional, Plazas, A A, additional, Reil, K, additional, Rykoff, E S, additional, Sako, M, additional, Sanchez, E, additional, Scarpine, V, additional, Schubnell, M, additional, Sheldon, E, additional, Smith, M, additional, Smith, R C, additional, Soares-Santos, M, additional, Sobreira, F, additional, Suchyta, E, additional, Swanson, M E C, additional, Tarle, G, additional, Thomas, D, additional, Tucker, B E, additional, Tucker, D L, additional, Vikram, V, additional, Walker, A R, additional, Weller, J, additional, Wester, W, additional, and Wolf, R C, additional
Published: 2018
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37. Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies.

Author: Hoyle, B, Gruen, D, Bernstein, G M, Rau, M M, De Vicente, J, Hartley, W G, Gaztanaga, E, DeRose, J, Troxel, M A, Davis, C, Alarcon, A, MacCrann, N, Prat, J, Sánchez, C, Sheldon, E, Wechsler, R H, Asorey, J, Becker, M R, Bonnett, C, and Rosell, A Carnero
Subjects: DARK energy, GALAXIES, PHOTOMETRY, GALACTIC redshift, METAPHYSICAL cosmology
Abstract: We describe the derivation and validation of redshift distribution estimates and their uncertainties for the populations of galaxies used as weak-lensing sources in the Dark Energy Survey (DES) Year 1 cosmological analyses. The Bayesian Photometric Redshift (bpz) code is used to assign galaxies to four redshift bins between z ≈ 0.2 and ≈1.3, and to produce initial estimates of the lensing-weighted redshift distributions $n^i_{\rm PZ}(z)\propto \mathrm{d}n^i/\mathrm{d}z$ for members of bin i. Accurate determination of cosmological parameters depends critically on knowledge of ni, but is insensitive to bin assignments or redshift errors for individual galaxies. The cosmological analyses allow for shifts $n^i(z)=n^i_{\rm PZ}(z-\Delta z^i)$ to correct the mean redshift of ni(z) for biases in $n^i_{\rm PZ}$. The Δzi are constrained by comparison of independently estimated 30-band photometric redshifts of galaxies in the Cosmic Evolution Survey (COSMOS) field to bpz estimates made from the DES griz fluxes, for a sample matched in fluxes, pre-seeing size, and lensing weight to the DES weak-lensing sources. In companion papers, the Δzi of the three lowest redshift bins are further constrained by the angular clustering of the source galaxies around red galaxies with secure photometric redshifts at 0.15 < z < 0.9. This paper details the bpz and COSMOS procedures, and demonstrates that the cosmological inference is insensitive to details of the ni(z) beyond the choice of Δzi. The clustering and COSMOS validation methods produce consistent estimates of Δzi in the bins where both can be applied, with combined uncertainties of $\sigma_{\Delta z^i}=0.015, 0.013, 0.011,$ and 0.022 in the four bins. Repeating the photo-z procedure instead using the Directional Neighbourhood Fitting algorithm, or using the ni(z) estimated from the matched sample in COSMOS, yields no discernible difference in cosmological inferences. [ABSTRACT FROM AUTHOR]
Published: 2018
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38. Feature importance for machine learning redshifts applied to SDSS galaxies

Author: Hoyle, B., primary, Rau, M. M., additional, Zitlau, R., additional, Seitz, S., additional, and Weller, J., additional
Published: 2015
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39. Photometric redshift analysis in the Dark Energy Survey Science Verification data

Author: Sánchez, C., primary, Carrasco Kind, M., additional, Lin, H., additional, Miquel, R., additional, Abdalla, F. B., additional, Amara, A., additional, Banerji, M., additional, Bonnett, C., additional, Brunner, R., additional, Capozzi, D., additional, Carnero, A., additional, Castander, F. J., additional, da Costa, L. A. N., additional, Cunha, C., additional, Fausti, A., additional, Gerdes, D., additional, Greisel, N., additional, Gschwend, J., additional, Hartley, W., additional, Jouvel, S., additional, Lahav, O., additional, Lima, M., additional, Maia, M. A. G., additional, Martí, P., additional, Ogando, R. L. C., additional, Ostrovski, F., additional, Pellegrini, P., additional, Rau, M. M., additional, Sadeh, I., additional, Seitz, S., additional, Sevilla-Noarbe, I., additional, Sypniewski, A., additional, de Vicente, J., additional, Abbot, T., additional, Allam, S. S., additional, Atlee, D., additional, Bernstein, G., additional, Bernstein, J. P., additional, Buckley-Geer, E., additional, Burke, D., additional, Childress, M. J., additional, Davis, T., additional, DePoy, D. L., additional, Dey, A., additional, Desai, S., additional, Diehl, H. T., additional, Doel, P., additional, Estrada, J., additional, Evrard, A., additional, Fernández, E., additional, Finley, D., additional, Flaugher, B., additional, Frieman, J., additional, Gaztanaga, E., additional, Glazebrook, K., additional, Honscheid, K., additional, Kim, A., additional, Kuehn, K., additional, Kuropatkin, N., additional, Lidman, C., additional, Makler, M., additional, Marshall, J. L., additional, Nichol, R. C., additional, Roodman, A., additional, Sánchez, E., additional, Santiago, B. X., additional, Sako, M., additional, Scalzo, R., additional, Smith, R. C., additional, Swanson, M. E. C., additional, Tarle, G., additional, Thomas, D., additional, Tucker, D. L., additional, Uddin, S. A., additional, Valdés, F., additional, Walker, A., additional, Yuan, F., additional, and Zuntz, J., additional
Published: 2014
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40. Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing

Author: Abbott, T. M. C., Abdalla, F. B., Alarcon, A., Aleksic, J., Allam, S., Allen, S., Amara, A., Annis, J., Asorey, J., Avila, S., Bacon, D., Balbinot, E., Banerji, M., Banik, N., Barkhouse, W., Baumer, M., Baxter, E., Bechtol, K., Becker, M. R., Benoit-Levy, A., Benson, B. A., Bernstein, G. M., Bertin, E., Blazek, J., Bridle, S. L., Brooks, D., Brout, D., Buckley-Geer, E., Burke, D. L., Busha, M. T., Campos, A. [UNESP], Capozzi, D., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Chen, N., Childress, M., Choi, A., Conselice, C., Crittenden, R., Crocce, M., Cunha, C. E., D'Andrea, C. B., Costa, L. N. da, Das, R., Davis, T. M., Davis, C., De Vicente, J., DePoy, D. L., DeRose, J., Desai, S., Diehl, H. T., Dietrich, J. P., Dodelson, S., Doel, P., Drlica-Wagner, A., Eifler, T. F., Elliott, A. E., Elsner, F., Elvin-Poole, J., Estrada, J., Evrard, A. E., Fang, Y., Fernandez, E., Ferte, A., Finley, D. A., Flaugher, B., Fosalba, P., Friedrich, O., Frieman, J., Garcia-Bellido, J., Garcia-Fernandez, M., Gatti, M., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gill, M. S. S., Glazebrook, K., Goldstein, D. A., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hamilton, S., Hartley, W. G., Hinton, S. R., Honscheid, K., Hoyle, B., Huterer, D., Jain, B., James, D. J., Jarvis, M., Jeltema, T., Johnson, M. D., Johnson, M. W. G., Kacprzak, T., Kent, S., Kim, A. G., King, A., Kirk, D., Kokron, N., Kovacs, A., Krause, E., Krawiec, C., Kremin, A., Kuehn, K., Kuhlmann, S., Kuropatkin, N., Lacasa, F. [UNESP], Lahav, O., Li, T. S., Liddle, A. R., Lidman, C., Lima, M., Lin, H., MacCrann, N., Maia, M. A. G., Makler, M., Manera, M., March, M., Marshall, J. L., Martini, P., McMahon, R. G., Melchior, P., Menanteau, F., Miquel, R., Miranda, V., Mudd, D., Muir, J., Moller, A., Neilsen, E., Nichol, R. C., Nord, B., Nugent, P., Ogando, R. L. C., Palmese, A., Peacock, J., Peiris, H. V., Peoples, J., Percival, W. J., Petravick, D., Plazas, A. A., Porredon, A., Prat, J., Pujol, A., Rau, M. M., Refregier, A., Ricker, P. M., Roe, N., Rollins, R. P., Romer, A. K., Roodman, A., Rosenfeld, R. [UNESP], Ross, A. J., Rozo, E., Rykoff, E. S., Sako, M., Salvador, A. I., Samuroff, S., Sanchez, C., Sanchez, E., Santiago, B., Scarpine, V., Schindler, R., Scolnic, D., Secco, L. F., Serrano, S., Sevilla-Noarbe, I., Sheldon, E., Smith, R. C., Smith, M., Smith, J., Soares-Santos, M., Sobreira, F., Suchyta, E., Tarle, G., Thomas, D., Troxel, M. A., Tucker, D. L., Tucker, B. E., Uddin, S. A., Varga, T. N., Vielzeuf, P., Vikram, V., Vivas, A. K., Walker, A. R., Wang, M., Wechsler, R. H., Weller, J., Wester, W., Wolf, R. C., Yanny, B., Yuan, F., Zenteno, A., Zhang, B., Zhang, Y., Zuntz, J., Dark Energy Survey Collaboration, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, National Optical Astronomy Observatory, Rhodes University, University College London, IEEC-CSIC, Barcelona Institute of Science and Technology, Fermi National Accelerator Laboratory, Stanford University, ETH Zurich, University of Queensland, ARC Centre of Excellence for All-sky Astrophysics (CAASTRO), University of Portsmouth, Universidad Autonoma de Madrid, University of Surrey, University of Cambridge, Witmer Hall, SLAC National Accelerator Laboratory, University of Pennsylvania, LSST, Institut d'Astrophysique de Paris, University of Chicago, Observatoire de Sauverny, Ohio State University, University of Manchester, Universidade Estadual Paulista (UNESP), Laboratório Interinstitucional de E-Astronomia - LIneA, Observatório Nacional, National Center for Supercomputing Applications, University of Illinois, University of Southampton, School of Physics and Astronomy, University of Michigan, Medioambientales y Tecnológicas (CIEMAT), Texas A and M University, IIT Hyderabad, Excellence Cluster Universe, Ludwig-Maximilians-Universität, California Institute of Technology, University of Edinburgh, Ludwig-Maximilians Universität München, Max Planck Institute for Extraterrestrial Physics, Swinburne University of Technology, 501 Campbell Hall, Lawrence Berkeley National Laboratory, University of Washington, Santa Cruz Institute for Particle Physics, Universidade de São Paulo (USP), Australian Astronomical Observatory, Argonne National Laboratory, Centro Brasileiro de Pesquisas Físicas, Peyton Hall, Institució Catalana de Recerca i Estudis Avançats, Australian National University, University of Sussex, University of Arizona, UFRGS, Brookhaven National Laboratory, Dept. Physics-Astronomy, Universidade Estadual de Campinas (UNICAMP), Oak Ridge National Laboratory, Chinese Academy of Sciences, Cerro Tololo Interamer Observ, Rhodes Univ, UCL, CSIC, Barcelona Inst Sci & Technol, Fermilab Natl Accelerator Lab, Stanford Univ, Swiss Fed Inst Technol, Univ Queensland, ARC Ctr Excellence All Sky Astrophys CAASTRO, Univ Portsmouth, UAM, Univ Surrey, Univ Cambridge, Univ North Dakota, SLAC Natl Accelerator Lab, Univ Penn, CNRS, UPMC Univ Paris 06, Univ Chicago, EPFL, Ohio State Univ, Univ Manchester, Universidade Estadual Paulista (Unesp), Lab Interinst Astron LIneA, Observ Nacl, Natl Ctr Supercomp Applicat, Univ Illinois, Univ Southampton, Univ Nottingham, Univ Michigan, Ctr Invest Energet Medioambient & Tecnol CIEMAT, Texas A&M Univ, Ludwig Maximilians Univ Munchen, CALTECH, Univ Edinburgh, Max Planck Inst Extraterr Phys, Swinburne Univ Technol, Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Univ Washington, Santa Cruz Inst Particle Phys, Australian Astron Observ, Argonne Natl Lab, Ctrt Brasileiro Pesquisas Fisicas, Princeton Univ, Inst Catalana Recerca & Estudis Avancats, Australian Natl Univ, Univ Sussex, Univ Arizona, Univ Fed Rio Grande do Sul, Brookhaven Natl Lab, Austin Peay State Univ, Oak Ridge Natl Lab, and Chinese Acad Sci
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Cosmic microwave background, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Cosmology, symbols.namesake, 0103 physical sciences, Planck, 010303 astronomy & astrophysics, Weak gravitational lensing, STFC, ResearchInstitutes_Networks_Beacons/MERI, QC, Physics, 010308 nuclear & particles physics, Astronomy, RCUK, Manchester Environmental Research Institute, Redshift, Galaxy, symbols, Dark energy, Neutrino, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present cosmological results from a combined analysis of galaxy clustering and weak gravitational lensing, using 1321 deg$^2$ of $griz$ imaging data from the first year of the Dark Energy Survey (DES Y1). We combine three two-point functions: (i) the cosmic shear correlation function of 26 million source galaxies in four redshift bins, (ii) the galaxy angular autocorrelation function of 650,000 luminous red galaxies in five redshift bins, and (iii) the galaxy-shear cross-correlation of luminous red galaxy positions and source galaxy shears. To demonstrate the robustness of these results, we use independent pairs of galaxy shape, photometric redshift estimation and validation, and likelihood analysis pipelines. To prevent confirmation bias, the bulk of the analysis was carried out while blind to the true results; we describe an extensive suite of systematics checks performed and passed during this blinded phase. The data are modeled in flat $\Lambda$CDM and $w$CDM cosmologies, marginalizing over 20 nuisance parameters, varying 6 (for $\Lambda$CDM) or 7 (for $w$CDM) cosmological parameters including the neutrino mass density and including the 457 $\times$ 457 element analytic covariance matrix. We find consistent cosmological results from these three two-point functions, and from their combination obtain $S_8 \equiv \sigma_8 (\Omega_m/0.3)^{0.5} = 0.783^{+0.021}_{-0.025}$ and $\Omega_m = 0.264^{+0.032}_{-0.019}$ for $\Lambda$CDM for $w$CDM, we find $S_8 = 0.794^{+0.029}_{-0.027}$, $\Omega_m = 0.279^{+0.043}_{-0.022}$, and $w=-0.80^{+0.20}_{-0.22}$ at 68% CL. The precision of these DES Y1 results rivals that from the Planck cosmic microwave background measurements, allowing a comparison of structure in the very early and late Universe on equal terms. Although the DES Y1 best-fit values for $S_8$ and $\Omega_m$ are lower than the central values from Planck ..., Comment: Matches published version. Results essentially unchanged, except updated covariance matrix leads to improved chi^2 (colored text removed)
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41. Dark Energy Survey Year 1 Results: Cross-Correlation Redshifts in the DES -- Calibration of the Weak Lensing Source Redshift Distributions

Author: Davis, C., Gatti, M., Vielzeuf, P., Cawthon, R., Rozo, E., Alarcon, A., Bernstein, G. M., Bonnett, C., Carnero Rosell, A., Castander, F. J., Chang, C., Da Costa, L. N., Davis, T. M., Vicente, J., Derose, J., Drlica-Wagner, A., Elvin-Poole, J., Enrique Gaztanaga, Gruen, D., Gschwend, J., Hartley, W. G., Hoyle, B., Lin, H., Maia, M. A. G., Miquel, R., Ogando, R. L. C., Rau, M. M., Roodman, A., Rykoff, E. S., Sevilla-Noarbe, I., Troxel, M. A., Wechsler, R. H., Abbott, T. M. C., Abdalla, F. B., Allam, S., Annis, J., Bechtol, K., Benoit-Lévy, A., Brooks, D., Buckley-Geer, E., Burke, D. L., Carrasco Kind, M., Carretero, J., Crocce, M., Cunha, C. E., Desai, S., Diehl, H. T., Doel, P., Eifler, T. F., Flaugher, B., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruendl, R. A., Gutierrez, G., Honscheid, K., James, D. J., Jeltema, T., Krause, E., Kron, R., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., March, M., Marshall, J. L., Menanteau, F., Nichol, R. C., Nord, B., Plazas, A. A., Sanchez, E., Scarpine, V., Schindler, R., Smith, M., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Vikram, V., Walker, A. R., and Zuntz, J.
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics::Galaxy Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present the calibration of the Dark Energy Survey Year 1 (DES Y1) weak lensing source galaxy redshift distributions from clustering measurements. By cross-correlating the positions of source galaxies with luminous red galaxies selected by the redMaGiC algorithm we measure the redshift distributions of the source galaxies as placed into different tomographic bins. These measurements constrain any such shifts to an accuracy of $\sim0.02$ and can be computed even when the clustering measurements do not span the full redshift range. The highest-redshift source bin is not constrained by the clustering measurements because of the minimal redshift overlap with the redMaGiC galaxies. We compare our constraints with those obtained from $\texttt{COSMOS}$ 30-band photometry and find that our two very different methods produce consistent constraints., 13 pages, 7 figures. Submitting to MNRAS. Feedback welcome!

42. Galaxy–galaxy lensing with the DES-CMASS catalogue: measurement and constraints on the galaxy-matter cross-correlation

Author: J. De Vicente, A. A. Plazas Malagón, M. March, W. G. Hartley, J. P. Dietrich, David J. Brooks, Juan Garcia-Bellido, Christopher M. Hirata, Dragan Huterer, Joseph J. Mohr, Jochen Weller, J. Carretero, F. J. Castander, G. Tarle, Carlos Solans Sanchez, E. Bertin, Adriano Pieres, Jack Elvin-Poole, B. Flaugher, M. Carrasco Kind, A. Roodman, F. Andrade-Oliveira, Tommaso Giannantonio, Samuel Hinton, V. Scarpine, Peter Doel, Chun-Hao To, David J. James, G. Gutierrez, Jennifer L. Marshall, E. J. Sanchez, M Gatti, J. DeRose, Ramon Miquel, Josh Frieman, Pablo Fosalba, Joe Zuntz, Maria E. S. Pereira, S. Lee, E. Suchyta, August E. Evrard, Enrique Gaztanaga, Erin Sheldon, Daniel Thomas, H. T. Diehl, Ofer Lahav, Y. Omori, M. Costanzi, A. Carnero Rosell, R. Cawthon, Robert Morgan, Ashley J. Ross, I. Ferrero, P. Vielzeuf, Michael Schubnell, Tim Eifler, Chihway Chang, Niall MacCrann, S. Desai, E. M. Huff, C. Davis, Michel Aguena, D. L. Burke, J. Gschwend, Gary Bernstein, S. Allam, Robert A. Gruendl, S. Samuroff, Ami Choi, Ben Hoyle, Antonella Palmese, M. A. G. Maia, I. Sevilla-Noarbe, N. Kuropatkin, T. N. Varga, L. N. da Costa, J. Prat, M. E. C. Swanson, Alexandra Amon, Felipe Menanteau, K. Honscheid, Michael Troxel, Marcos Lima, S. Everett, Kyler Kuehn, M. Smith, D. L. Hollowood, S. Serrano, Daniel Gruen, D. W. Gerdes, Christopher J. Conselice, Markus Rau, F. Paz-Chinchón, Lee, S., Troxel, M. A., Choi, A., Elvin-Poole, J., Hirata, C., Honscheid, K., Huff, E. M., Maccrann, N., Ross, A. J., Eifler, T. F., Chang, C., Miquel, R., Omori, Y., Prat, J., Bernstein, G. M., Davis, C., Derose, J., Gatti, M., Rau, M. M., Samuroff, S., Sanchez, C., Vielzeuf, P., Zuntz, J., Aguena, M., Allam, S., Amon, A., Andrade-Oliveira, F., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. C., Kind, M. C., Carretero, J., Castander, F. J., Cawthon, R., Conselice, C., Costanzi, M., da Costa, L. N., Pereira, M. E. S., de Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Everett, S., Evrard, A. E., Ferrero, I., Flaugher, B., Fosalba, P., Frieman, J., Garcia-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Hoyle, B., Huterer, D., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Menanteau, F., Mohr, J. J., Morgan, R., Palmese, A., Paz-Chinchon, F., Pieres, A., Malagon, A. A. P., Roodman, A., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Sheldon, E., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Varga, T. N., Weller, J., Duke University, Ohio State University, California Institute of Technology, University of Cambridge, University of Arizona, University of Chicago, Institució Catalana de Recerca i Estudis Avançats, Barcelona Institute of Science and Technology, Stanford University, University of Pennsylvania, 501 Campbell Hall, Santa Cruz Institute for Particle Physics, Carnegie Mellon University, University of Edinburgh, Universidade de São Paulo (USP), Laboratório Interinstitucional de e-Astronomia - LIneA, Fermi National Accelerator Laboratory, Universidade Estadual Paulista (UNESP), Institut d’Astrophysique de Paris, University College London, SLAC National Accelerator Laboratory, Instituto de Astrofisica de Canarias, Dpto. Astrofisica, National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Institut d’Estudis Espacials de Catalunya (IEEC), CSIC), University of Wisconsin-Madison, University of Manchester, School of Physics and Astronomy, University of Trieste, INAF-Osservatorio Astronomico di Trieste, Institute for Fundamental Physics of the Universe, Observatório Nacional, University of Michigan, Medioambientales y Tecnológicas (CIEMAT), IIT Hyderabad, Ludwig-Maximilians-Universität, University of Oslo, Universidad Autonoma de Madrid, University of Geneva, University of Queensland, Max Planck Institute for Extraterrestrial Physics, Harvard & Smithsonian, Macquarie University, Lowell Observatory, Texas A&M University, Peyton Hall, Brookhaven National Laboratory, University of Southampton, Oak Ridge National Laboratory, University of Portsmouth, Ludwig-Maximilians Universität München, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, UAM. Departamento de Física Teórica, Department of Energy (US), National Science Foundation (US), National Aeronautics and Space Administration (US), Simons Foundation, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Ministerio de Economía y Competitividad (España), European Commission, Generalitat de Catalunya, European Space Agency, and European Research Council
Subjects: Physics, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Cross-correlation, Gravitational lensing, Large-scale structure of universe, Física, FOS: Physical sciences, Astronomy and Astrophysics, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Galaxy, Space and Planetary Science, 0103 physical sciences, Large-scale structure of the Universe, 010306 general physics, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: DES collaboration: et al., The DMASS sample is a photometric sample from the DES Year 1 data set designed to replicate the properties of the CMASS sample from BOSS, in support of a joint analysis of DES and BOSS beyond the small overlapping area. In this paper, we present the measurement of galaxy–galaxy lensing using the DMASS sample as gravitational lenses in the DES Y1 imaging data. We test a number of potential systematics that can bias the galaxy–galaxy lensing signal, including those from shear estimation, photometric redshifts, and observing conditions. After careful systematic tests, we obtain a highly significant detection of the galaxy–galaxy lensing signal, with total S/N = 25.7. With the measured signal, we assess the feasibility of using DMASS as gravitational lenses equivalent to CMASS, by estimating the galaxy-matter cross-correlation coefficient rcc. By jointly fitting the galaxy–galaxy lensing measurement with the galaxy clustering measurement from CMASS, we obtain rcc=1.09+0.12−0.11 for the scale cut of 4h−1Mpc and rcc=1.06+0.13−0.12 for 12h−1Mpc in fixed cosmology. By adding the angular galaxy clustering of DMASS, we obtain rcc = 1.06 ± 0.10 for the scale cut of 4h−1Mpc and rcc = 1.03 ± 0.11 for 12h−1Mpc⁠. The resulting values of rcc indicate that the lensing signal of DMASS is statistically consistent with the one that would have been measured if CMASS had populated the DES region within the given statistical uncertainty. The measurement of galaxy–galaxy lensing presented in this paper will serve as part of the data vector for the forthcoming cosmology analysis in preparation., AC acknowledges support from NASA grant 15-WFIRST15-0008. During the preparation of this paper, C.H. was supported by the Simons Foundation, NASA, and the U.S. Department of Energy. Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Científico e Tecnológico and the Ministério da Ciência, Tecnologia e Inovação, the Deutsche Forschungsgemeinschaft and the Collaborating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgenössische Technische Hochschule (ETH) Zürich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ciències de l’Espai (IEEC/CSIC), the Institut de Física d’Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universität München and the associated Excellence Cluster Universe, the University of Michigan, NFS’s NOIRLab, the University of Nottingham, The Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas A&M University, and the OzDES Membership Consortium. Based in part on observations at Cerro Tololo Inter-American Observatory at NSF’s NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA programme of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics. Funding for SDSS-III has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, and the U.S. Department of Energy Office of Science. The SDSS-III web site is http://www.sdss3.org/. SDSS-III is managed by the Astrophysical Research Consortium for the Participating Institutions of the SDSS-III Collaboration including the University of Arizona, the Brazilian Participation Group, Brookhaven National Laboratory, Carnegie Mellon University, University of Florida, the French Participation Group, the German Participation Group, Harvard University, the Instituto de Astrofisica de Canarias, the Michigan State/Notre Dame/JINA Participation Group, Johns Hopkins University, Lawrence Berkeley National Laboratory, Max Planck Institute for Astrophysics, Max Planck Institute for Extraterrestrial Physics, New Mexico State University, New York University, Ohio State University, Pennsylvania State University, University of Portsmouth, Princeton University, the Spanish Participation Group, University of Tokyo, University of Utah, Vanderbilt University, University of Virginia, University of Washington, and Yale University. This work used resources at the Owens Cluster at the Ohio Supercomputer Center (OSC 1987) and the Duke Compute Cluster (DCC) at Duke University.
Published: 2022

43. Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances, Weak Lensing, and Galaxy Correlations

Author: G. Gutierrez, David J. Brooks, Robert Morgan, Erin Sheldon, J. Prat, Joe Zuntz, S. Samuroff, Jack Elvin-Poole, Matthew R. Becker, M. Carrasco Kind, M. E. C. Swanson, Alex Drlica-Wagner, J. Carretero, Dragan Huterer, V. Scarpine, Ashley J. Ross, Tamara M. Davis, E. Bertin, Xiao Fang, Douglas L. Tucker, Kyler Kuehn, Basilio X. Santiago, T. N. Varga, M. Gatti, J. Annis, A. Carnero Rosell, Youngsoo Park, D. L. Burke, W. C. Wester, Robert A. Gruendl, R. Cawthon, Marcos Lima, I. Ferrero, Matt J. Jarvis, P. Vielzeuf, Yanxi Zhang, Tim Eifler, M. Costanzi, W. G. Hartley, Arya Farahi, Josh Frieman, J. P. Dietrich, Juan Garcia-Bellido, Eduardo Rozo, Oliver Friedrich, I. Sevilla-Noarbe, T. McClintock, J. Muir, N. Kuropatkin, J. DeRose, E. Suchyta, August E. Evrard, Martin Crocce, R. D. Wilkinson, Ben Hoyle, Jochen Weller, L. N. da Costa, Tesla E. Jeltema, G. Tarle, Antonella Palmese, M. A. G. Maia, Michael Troxel, T. M. C. Abbott, Chun-Hao To, E. J. Sanchez, J. Myles, David J. James, Enrique Gaztanaga, Jonathan Blazek, Christopher J. Conselice, Markus Rau, Sarah Bridle, Santiago Avila, Chihway Chang, P. Fosalba, Carlos Solans Sanchez, Michel Aguena, Sunayana Bhargava, A. K. Romer, S. Desai, B. Flaugher, Sebastian Bocquet, Daniel Thomas, H. T. Diehl, Ramon Miquel, D. L. Hollowood, Niall MacCrann, S. Serrano, C. Davis, M. Smith, A. A. Plazas, Gary Bernstein, Hao-Yi Wu, Daniel Gruen, A. Porredon, V. Miranda, Maria E. S. Pereira, Elisabeth Krause, S. Everett, F. Paz-Chinchón, Jennifer L. Marshall, Eli S. Rykoff, Risa H. Wechsler, Richard G. Kron, A. Roodman, Tommaso Giannantonio, A. Choi, K. Honscheid, Alexandra Amon, Felipe Menanteau, Samuel Hinton, Department of Energy (US), Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), German Research Foundation, European Commission, To, C., Krause, E., Rozo, E., Wu, H., Gruen, D., Wechsler, R. H., Eifler, T. F., Rykoff, E. S., Costanzi, M., Becker, M. R., Bernstein, G. M., Blazek, J., Bocquet, S., Bridle, S. L., Cawthon, R., Choi, A., Crocce, M., Davis, C., Derose, J., Drlica-Wagner, A., Elvin-Poole, J., Fang, X., Farahi, A., Friedrich, O., Gatti, M., Gaztanaga, E., Giannantonio, T., Hartley, W. G., Hoyle, B., Jarvis, M., Maccrann, N., Mcclintock, T., Miranda, V., Pereira, M. E. S., Park, Y., Porredon, A., Prat, J., Rau, M. M., Ross, A. J., Samuroff, S., Sánchez, C., Sevilla-Noarbe, I., Sheldon, E., Troxel, M. A., Varga, T. N., Vielzeuf, P., Zhang, Y., Zuntz, J., Abbott, T. M. C., Aguena, M., Annis, J., Avila, S., Bertin, E., Bhargava, S., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Chang, C., Conselice, C., da Costa, L. N., Davis, T. M., Desai, S., Diehl, H. T., Dietrich, J. P., Everett, S., Evrard, A. E., Ferrero, I., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Huterer, D., James, D. J., Jeltema, T., Kron, R., Kuehn, K., Kuropatkin, N., Lima, M., Maia, M. A. G., Marshall, J. L., Menanteau, F., Miquel, R., Morgan, R., Muir, J., Myles, J., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Romer, A. K., Roodman, A., Sanchez, E., Santiago, B., Scarpine, V., Serrano, S., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Weller, J., Wester, W., Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, and UAM. Departamento de Física Teórica
Subjects: SDSS, Software_OPERATINGSYSTEMS, ComputingMethodologies_SIMULATIONANDMODELING, Cosmological parameters, General Physics and Astronomy, Astrophysics, SPT, Astrophysics::Cosmology and Extragalactic Astrophysics, Data_CODINGANDINFORMATIONTHEORY, des, Gravitation and Astrophysics, 01 natural sciences, 7. Clean energy, Cosmology, scale, TRACER, evolution, 0103 physical sciences, Dark energy, Hardware_INTEGRATEDCIRCUITS, Dark matter, 010306 general physics, Cluster analysis, Scaling, Weak gravitational lensing, STFC, Physics, model, COSMIC cancer database, RCUK, Física, spt, Mass Calibration, ComputerSystemsOrganization_PROCESSORARCHITECTURES, Galaxy, Scale, red galaxies, 13. Climate action, Cosmic Shear, mass calibration, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], sdss, cosmic shear, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: To, C. et al. (DES Collaboration), We present the first joint analysis of cluster abundances and auto or cross-correlations of three cosmic tracer fields: galaxy density, weak gravitational lensing shear, and cluster density split by optical richness. From a joint analysis (4×2pt+N) of cluster abundances, three cluster cross-correlations, and the auto correlations of the galaxy density measured from the first year data of the Dark Energy Survey, we obtain ωm=0.305-0.038+0.055 and σ8=0.783-0.054+0.064. This result is consistent with constraints from the DES-Y1 galaxy clustering and weak lensing two-point correlation functions for the flat νΛCDM model. Consequently, we combine cluster abundances and all two-point correlations from across all three cosmic tracer fields (6×2pt+N) and find improved constraints on cosmological parameters as well as on the cluster observable-mass scaling relation. This analysis is an important advance in both optical cluster cosmology and multiprobe analyses of upcoming wide imaging surveys., This Letter has gone through internal review by the DES Collaboration. This work was supported in part by the U.S. Department of Energy contract to SLAC National Accelerator Laboratory, under Contract No. DE-AC02- 76SF00515 (C. H., D. G., R. W.) including a Panofsky Fellowship awarded to D. G. E. K. is supported by the Department of Energy Grant No. DE-SC0020247. E. R. is supported by DOE Grants No. DE-SC0015975 and No. DE-SC0009913, and by NSF Grant No. 2009401. E. R. also acknowledges funding from the Cottrell Scholar program of the Research Corporation for Science Advancement. H. W. is supported by NSF Grant No. AST-1516997. Some of the computing for this project was performed on the Sherlock cluster at Stanford. We would like to thank KIPAC, Stanford University, and the Stanford Research Computing Center for providing computational resources and support that contributed to these research results. Funding for the DES Projects has been provided by the DOE and NSF(USA), MEC/MICINN/ MINECO(Spain), STFC(UK), HEFCE(UK). NCSA (UIUC), KICP(U. Chicago), CCAPP(Ohio State), MIFPA(Texas A&M), CNPQ, FAPERJ, FINEP (Brazil), DFG(Germany), and the Collaborating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne Lab, UC Santa Cruz, University of Cambridge, CIEMAT-Madrid, University of Chicago, University College London, DES-Brazil Consortium, University of Edinburgh, ETH Zürich, Fermilab, University of Illinois, ICE (IEEC-CSIC), IFAE Barcelona, Lawrence Berkeley Lab, LMU München and the associated Excellence Cluster Universe, University of Michigan, NFS’s NOIRLab, University of Nottingham, Ohio State University, University of Pennsylvania, University of Portsmouth, SLAC National Lab, Stanford University, University of Sussex, Texas A&M University, and the OzDES Membership Consortium. Based in part on observations at Cerro Tololo Inter-American Observatory at NSFs NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES Data Management System is supported by the NSF under Grants No. AST-1138766 and No. AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under Grants ESP2017-89838, PGC2018-094773, PGC2018- 102021, SEV-2016-0588, SEV-2016-0597, and MDM2015-0509, some of which include ERDF funds from the European Union. I. F. A. E. is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC Grant Agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq Grant No. 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics.
Published: 2021
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44. Probing gravity with the DES-CMASS sample and BOSS spectroscopy

Author: Carlos Solans Sanchez, Alexandra Amon, Jack Elvin-Poole, Felipe Menanteau, Michael Schubnell, Dragan Huterer, S. Lee, Antonella Palmese, S. Everett, David J. Brooks, M. A. G. Maia, V. Scarpine, Daniel Thomas, Joseph J. Mohr, Erin Sheldon, Adriano Pieres, M. March, David J. James, M. Costanzi, F. Paz-Chinchón, Josh Frieman, Samuel Hinton, Vivian Miranda, Pablo Fosalba, J. DeRose, E. Suchyta, G. Gutierrez, M. Smith, Jennifer L. Marshall, August E. Evrard, Ashley J. Ross, Daniel Gruen, G. Tarle, E. M. Huff, P. Lemos, K. Honscheid, Ami Choi, Ben Hoyle, Ramon Miquel, Michel Aguena, J. Muir, D. W. Gerdes, J. De Vicente, I. Sevilla-Noarbe, Enrique Gaztanaga, L. F. Secco, N. Weaverdyck, A. Chen, Christopher J. Conselice, Maria E. S. Pereira, S. Samuroff, W. G. Hartley, J. Carretero, Marco Raveri, Hui Kong, J. P. Dietrich, Juan Garcia-Bellido, R. Cawthon, Christopher M. Hirata, I. Ferrero, N. Kuropatkin, P. Vielzeuf, Tim Eifler, C. D. Leonard, M. Carrasco Kind, F. Andrade-Oliveira, D. L. Burke, A. A. Plazas Malagón, T. N. Varga, Adam Amara, S. Allam, Robert A. Gruendl, M Gatti, L. N. da Costa, Ofer Lahav, Robert Morgan, M. E. C. Swanson, J. Prat, Marcos Lima, D. L. Hollowood, S. Serrano, A. Campos, C. Davis, J. Gschwend, A. Roodman, Tommaso Giannantonio, Gary Bernstein, Peter Doel, A. Carnero Rosell, H. T. Diehl, Kyler Kuehn, Niall MacCrann, Agnès Ferté, E. Bertin, Joe Zuntz, Markus Rau, Jonathan Blazek, Sarah Bridle, Scott Dodelson, S. Desai, Michael Troxel, Jochen Weller, F. J. Castander, Chun-Hao To, E. J. Sanchez, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Department of Energy (US), National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Generalitat de Catalunya, European Commission, Alfred P. Sloan Foundation, Ministerio de Economía y Competitividad (España), Lee, S, Huff, E M, Choi, A, Elvin-Poole, J, Hirata, C, Honscheid, K, Maccrann, N, Ross, A J, Troxel, M A, Eifler, T F, Kong, H, Ferté, A, Blazek, J, Huterer, D, Amara, A, Campos, A, Chen, A, Dodelson, S, Lemos, P, Leonard, C D, Miranda, V, Muir, J, Raveri, M, Secco, L F, Weaverdyck, N, Zuntz, J, Bridle, S L, Davis, C, Derose, J, Gatti, M, Prat, J, Rau, M M, Samuroff, S, Sánchez, C, Vielzeuf, P, Aguena, M, Allam, S, Amon, A, Andrade-Oliveira, F, Bernstein, G M, Bertin, E, Brooks, D, Burke, D L, Rosell, A Carnero, Carrasco&nbsp, Kind, M, Carretero, J, Castander, F J, Cawthon, R, Conselice, C, Costanzi, M, da&nbsp, Costa, L N, Pereira, M E S, De&nbsp, Vicente, J, Desai, S, Diehl, H T, Dietrich, J P, Doel, P, Everett, S, Evrard, A E, Ferrero, I, Fosalba, P, Frieman, J, García-Bellido, J, Gaztanaga, E, Gerdes, D W, Giannantonio, T, Gruen, D, Gruendl, R A, Gschwend, J, Gutierrez, G, Hartley, W G, Hinton, S R, Hollowood, D L, Hoyle, B, James, D J, Kuehn, K, Kuropatkin, N, Lahav, O, Lima, M, Maia, M A G, March, M, Marshall, J L, Menanteau, F, Miquel, R, Mohr, J J, Morgan, R, Palmese, A, Paz-Chinchón, F, Pieres, A, Malagón, A A Plaza, Roodman, A, Sanchez, E, Scarpine, V, Schubnell, M, Serrano, S, Sevilla-Noarbe, I, Sheldon, E, Smith, M, Suchyta, E, Swanson, M E C, Tarle, G, Thomas, D, To, C, Varga, T N, and Weller, J
Subjects: gravitation: model, Astrophysics, baryon: oscillation: acoustic, 01 natural sciences, DESI, large scales, cosmological model: parameter space, general relativity, LENTES GRAVITACIONAIS, cluster, dark energy, 010303 astronomy & astrophysics, Weak gravitational lensing, Physics, cosmological parameters, gravitational lensing, large-scale structure of the Universe, Astrophysics - Cosmology and Nongalactic Astrophysics, symbols, cfhtlens, cosmological parameter, satellite: Planck, Cosmology and Nongalactic Astrophysics (astro-ph.CO), General relativity, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, tomography, efficient, symbols.namesake, redshift-space distortions, statistical analysis, gravitation: lens, 0103 physical sciences, overlap, structure, Planck, dark energy survey, Astrophysics::Galaxy Astrophysics, 010308 nuclear & particles physics, Astronomy and Astrophysics, cross-correlation, redshift, Redshift, Galaxy, testing gravity, Baryon, Boss, Space and Planetary Science, Dark energy, galaxy, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], cosmology
Abstract: DES Collaboration: et al., The DES-CMASS sample (DMASS) is designed to optimally combine the weak lensing measurements from the Dark Energy Survey (DES) and redshift-space distortions (RSD) probed by the CMASS galaxy sample from the Baryonic Oscillation Spectroscopic Survey. In this paper, we demonstrate the feasibility of adopting DMASS as the equivalent of CMASS for a joint analysis of DES and BOSS in the framework of modified gravity. We utilize the angular clustering of the DMASS galaxies, cosmic shear of the DES METACALIBRATION sources, and cross-correlation of the two as data vectors. By jointly fitting the combination of the data with the RSD measurements from the CMASS sample and Planck data, we obtain the constraints on modified gravity parameters μ0=−0.37+0.47−0.45 and Σ0=0.078+0.078−0.082⁠. Our constraints of modified gravity with DMASS are tighter than those with the DES Year 1 REDMAGIC sample with the same external data sets by 29 per cent for μ0 and 21 per cent for Σ0, and comparable to the published results of the DES Year 1 modified gravity analysis despite this work using fewer external data sets. This improvement is mainly because the galaxy bias parameter is shared and more tightly constrained by both CMASS and DMASS, effectively breaking the degeneracy between the galaxy bias and other cosmological parameters. Such an approach to optimally combine photometric and spectroscopic surveys using a photometric sample equivalent to a spectroscopic sample can be applied to combining future surveys having a limited overlap such as DESI and LSST., AC acknowledges support from NASA grant no. 15-WFIRST15-0008. During the preparation of this paper, C.H. was supported by the Simons Foundation, NASA, and the U.S. Department of Energy. The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant no. 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics. Funding for SDSS-III has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, and the U.S. Department of Energy Office of Science.
Published: 2021
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45. Dark energy survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions

Author: R. L. C. Ogando, J. DeRose, E. Suchyta, M. Smith, G. Tarle, Daniel Gruen, Youngsoo Park, D. W. Gerdes, S. Samuroff, T. N. Varga, R. Cawthon, David J. Brooks, J. Gschwend, Sunayana Bhargava, Michael Schubnell, K. Honscheid, Samuel Hinton, W. G. Hartley, Marcos Lima, J. P. Dietrich, G. Gutierrez, Ofer Lahav, Juan Garcia-Bellido, C. Lidman, Alexandra Amon, J. Carretero, Ramon Miquel, Peter Doel, M. Costanzi, Dragan Huterer, M. Carrasco Kind, Robert Morgan, J. Frieman, H. T. Diehl, David Bacon, Felipe Menanteau, E. Baxter, F. Paz-Chinchón, I. Ferrero, Matt J. Jarvis, J. Annis, Marco Raveri, Elisabeth Krause, M. Gatti, David J. James, Niall MacCrann, J. Muir, Tommaso Giannantonio, D. L. Burke, Pablo Fosalba, Ami Choi, Ben Hoyle, E. Bertin, A. A. Plazas, I. Sevilla-Noarbe, Bhuvnesh Jain, S. Allam, Robert A. Gruendl, V. Scarpine, Antonella Palmese, N. Kuropatkin, D. L. Hollowood, M. A. G. Maia, S. Serrano, A. Alarcon, A. Campos, E. M. Huff, L. N. da Costa, P. Lemos, Michel Aguena, R. D. Wilkinson, S. Everett, Maria E. S. Pereira, J. Prat, M. E. C. Swanson, Jochen Weller, T. M. C. Abbott, C. Doux, Chun-Hao To, Markus Rau, E. J. Sanchez, Santiago Avila, Chihway Chang, Michael Troxel, S. Desai, Joe Zuntz, Douglas L. Tucker, Kyler Kuehn, National Science Foundation (US), Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), European Commission, Generalitat de Catalunya, Instituto Nacional de Ciência e Tecnologia (Brasil), Fermilab, Doux, C., Baxter, E., Lemos, P., Chang, C., Alarcon, A., Amon, A., Campos, A., Choi, A., Gatti, M., Gruen, D., Jarvis, M., Maccrann, N., Park, Y., Prat, J., Rau, M. M., Raveri, M., Samuroff, S., Derose, J., Hartley, W. G., Hoyle, B., Troxel, M. A., Zuntz, J., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Avila, S., Bacon, D., Bertin, E., Bhargava, S., Brooks, D., Burke, D. L., Carrasco Kind, M., Carretero, J., Cawthon, R., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Everett, S., Ferrero, I., Fosalba, P., Frieman, J., García-Bellido, J., Gerdes, D. W., Giannantonio, T., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huff, E. M., Huterer, D., Jain, B., James, D. J., Krause, E., Kuehn, K., Kuropatkin, N., Lahav, O., Lidman, C., Lima, M., Maia, M. A. G., Menanteau, F., Miquel, R., Morgan, R., Muir, J., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Tucker, D. L., Varga, T. N., Weller, J., Wilkinson, R. D., Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and DES
Subjects: statistical [Methods], Cosmology and Nongalactic Astrophysics (astro-ph.CO), Large-scale structure of Universe, FOS: Physical sciences, Dark energy, Gravitational lensing: weak, Methods: statistical, gravitational lensing: weak, methods: statistical, dark energy, large-scale structure of Universe, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, 01 natural sciences, Data vector, Goodness of fit, Consistency (statistics), Internal consistency, 0103 physical sciences, Statistics, Astrophysics - Cosmology and Nongalactic Astrophysic, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], 010303 astronomy & astrophysics, Joint (geology), Instrumentation and Methods for Astrophysics (astro-ph.IM), Physics, 010308 nuclear & particles physics, Astronomy and Astrophysics, Data set, Posterior predictive distribution, Space and Planetary Science, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], weak [Gravitational lensing]
Abstract: Doux, C., et al. DES Collaboration, Beyond ΛCDM, physics or systematic errors may cause subsets of a cosmological data set to appear inconsistent when analysed assuming ΛCDM. We present an application of internal consistency tests to measurements from the Dark Energy Survey Year 1 (DES Y1) joint probes analysis. Our analysis relies on computing the posterior predictive distribution (PPD) for these data under the assumption of ΛCDM. We find that the DES Y1 data have an acceptable goodness of fit to ΛCDM, with a probability of finding a worse fit by random chance of p = 0.046. Using numerical PPD tests, supplemented by graphical checks, we show that most of the data vector appears completely consistent with expectations, although we observe a small tension between large- and small-scale measurements. A small part (roughly 1.5 per cent) of the data vector shows an unusually large departure from expectations; excluding this part of the data has negligible impact on cosmological constraints, but does significantly improve the p-value to 0.10. The methodology developed here will be applied to test the consistency of DES Year 3 joint probes data sets., Based, in part, on observations at Cerro Tololo Inter-American Observatory at NSF’s NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES data management system is supported by the National Science Foundation under grant numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under contract no. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics.
Published: 2021
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46. Lensing Without Borders. I. A Blind Comparison of the Amplitude of Galaxy-Galaxy Lensing Between Independent Imaging Surveys

Author: A Leauthaud, A Amon, S Singh, D Gruen, J U Lange, S Huang, N C Robertson, T N Varga, Y Luo, C Heymans, H Hildebrandt, C Blake, M Aguena, S Allam, F Andrade-Oliveira, J Annis, E Bertin, S Bhargava, J Blazek, S L Bridle, D Brooks, D L Burke, A Carnero Rosell, M Carrasco Kind, J Carretero, F J Castander, R Cawthon, A Choi, M Costanzi, L N da Costa, M E S Pereira, C Davis, J De Vicente, J DeRose, H T Diehl, J P Dietrich, P Doel, K Eckert, S Everett, A E Evrard, I Ferrero, B Flaugher, P Fosalba, J García-Bellido, M Gatti, E Gaztanaga, R A Gruendl, J Gschwend, W G Hartley, D L Hollowood, K Honscheid, B Jain, D J James, M Jarvis, B Joachimi, A Kannawadi, A G Kim, E Krause, K Kuehn, K Kuijken, N Kuropatkin, M Lima, N MacCrann, M A G Maia, M Makler, M March, J L Marshall, P Melchior, F Menanteau, R Miquel, H Miyatake, J J Mohr, B Moraes, S More, M Surhud, R Morgan, J Myles, R L C Ogando, A Palmese, F Paz-Chinchón, A A Plazas Malagón, J Prat, M M Rau, J Rhodes, M Rodriguez-Monroy, A Roodman, A J Ross, S Samuroff, C Sánchez, E Sanchez, V Scarpine, D J Schlegel, M Schubnell, S Serrano, I Sevilla-Noarbe, C Sifón, M Smith, J S Speagle, E Suchyta, G Tarle, D Thomas, J Tinker, C To, M A Troxel, L Van Waerbeke, P Vielzeuf, A H Wright, Santa Cruz, Stanford University, Carnegie Mellon University, Berkeley, Ludwig-Maximilians Universität München, Princeton University, University of Cambridge, Max Planck Institute for Extraterrestrial Physics, Royal Observatory, German Centre for Cosmolo gical Lensing, Swinburne University of Technology, Laboratoire d'Annecy De Physique Des Particules (LAPP), Laboratório Interinstitucional de e-Astronomia LIneA, Fermi National Accelerator Laboratory, Universidade Estadual Paulista (UNESP), Institut d'Astrophysique de Paris, CNRS, Northeastern University, Observatoire de Sauverny, University of Manchester, University College London, SLAC National Accelerator Laboratory, Instituto de Astrofisica de Canarias, Dpto. Astrofísica, National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, The Barcelona Institute of Science and Technology, Institut d'Estudis Espacials de Catalunya (IEEC), CSIC), University of Wisconsin Madison, The Ohio State University, University of Trieste, INAF-Osservatorio Astronomico di Trieste, Institute for Fundamental Physics of the Universe, Observatório Nacional, Univer sität Hamburg, Medioambientales y Tecnológicas (CIEMAT), Lawrence Berkeley National Laboratory, Santa Cruz Institute for Particle Physics, Ludwig-Maximilians-Universität, University of Pennsylvania, University of Michigan, University of Oslo, Universidad Autonoma de Madrid, University of Geneva, ASTRAVEO LLC, University of Arizona, Macquarie University, Lowell Observatory, Leiden University, Universidade de São Paulo (USP), ECyT UNSAM, Centro Brasileiro de Pesquisas Físicas, Texas A&M University, Institució Catalana de Recerca i Estudis Avancats, Nagoya University, University of Tokyo, Universidade Federal do Rio de Janeiro (UFRJ), The Inter-University Centre for Astronomy and Astrophysics, University of Chicago, University of British Columbia, California Institute of Technology, Pontificia Universidad Católica de Valparaíso, University of Southampton, University of Toronto, Oak Ridge National Laboratory, University of Portsmouth, New York University, Duke University, Leauthaud, A, Amon, A, Singh, S, Gruen, D, Lange, J U, Huang, S, Robertson, N C, Varga, T N, Luo, Y, Heymans, C, Hildebrandt, H, Blake, C, Aguena, M, Allam, S, Andrade-Oliveira, F, Annis, J, Bertin, E, Bhargava, S, Blazek, J, Bridle, S L, Brooks, D, Burke, D L, Rosell, A Carnero, Kind, M Carrasco, Carretero, J, Castander, F J, Cawthon, R, Choi, A, Costanzi, M, da Costa, L N, Pereira, M E S, Davis, C, De Vicente, J, Derose, J, Diehl, H T, Dietrich, J P, Doel, P, Eckert, K, Everett, S, Evrard, A E, Ferrero, I, Flaugher, B, Fosalba, P, García-Bellido, J, Gatti, M, Gaztanaga, E, Gruendl, R A, Gschwend, J, Hartley, W G, Hollowood, D L, Honscheid, K, Jain, B, James, D J, Jarvis, M, Joachimi, B, Kannawadi, A, Kim, A G, Krause, E, Kuehn, K, Kuijken, K, Kuropatkin, N, Lima, M, Maccrann, N, Maia, M A G, Makler, M, March, M, Marshall, J L, Melchior, P, Menanteau, F, Miquel, R, Miyatake, H, Mohr, J J, Moraes, B, More, S, Surhud, M, Morgan, R, Myles, J, Ogando, R L C, Palmese, A, Paz-Chinchón, F, Malagón, A A Plaza, Prat, J, Rau, M M, Rhodes, J, Rodriguez-Monroy, M, Roodman, A, Ross, A J, Samuroff, S, Sánchez, C, Sanchez, E, Scarpine, V, Schlegel, D J, Schubnell, M, Serrano, S, Sevilla-Noarbe, I, Sifón, C, Smith, M, Speagle, J S, Suchyta, E, Tarle, G, Thomas, D, Tinker, J, To, C, Troxel, M A, Van Waerbeke, L, Vielzeuf, P, Wright, A H, UAM. Departamento de Física Teórica, National Science Foundation (US), Department of Energy (US), European Commission, European Research Council, Ministerio de Educación y Ciencia (España), Agencia Estatal de Investigación (España), Ministerio de Ciencia, Innovación y Universidades (España), Ministerio de Economía y Competitividad (España), Generalitat de Catalunya, Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, and DES
Subjects: photometric redshifts, Cosmology and Nongalactic Astrophysics (astro-ph.CO), gravitational lensing, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, bonn deep survey, 1st data, redshift distributions, shear calibration, Astrophysics::Galaxy Astrophysics, Observations, data release, Física, Astronomy and Astrophysics, observations [cosmology], Cosmology, Space and Planetary Science, cosmology: observations, cosmological constraints, cross-correlations, digital sky survey, iii. application, large-scale structure of Universe, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Cosmology and Nongalactic Astrophysics, observation [cosmology], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: A. Leauthaud et al., Lensing without borders is a cross-survey collaboration created to assess the consistency of galaxy–galaxy lensing signals (ΔΣ) across different data sets and to carry out end-to-end tests of systematic errors. We perform a blind comparison of the amplitude of ΔΣ using lens samples from BOSS and six independent lensing surveys. We find good agreement between empirically estimated and reported systematic errors which agree to better than 2.3σ in four lens bins and three radial ranges. For lenses with zL > 0.43 and considering statistical errors, we detect a 3–4σ correlation between lensing amplitude and survey depth. This correlation could arise from the increasing impact at higher redshift of unrecognized galaxy blends on shear calibration and imperfections in photometric redshift calibration. At zL > 0.54, amplitudes may additionally correlate with foreground stellar density. The amplitude of these trends is within survey-defined systematic error budgets that are designed to include known shear and redshift calibration uncertainty. Using a fully empirical and conservative method, we do not find evidence for large unknown systematics. Systematic errors greater than 15 per cent (25 per cent) ruled out in three lens bins at 68 per cent (95 per cent) confidence at z < 0.54. Differences with respect to predictions based on clustering are observed to be at the 20–30 per cent level. Our results therefore suggest that lensing systematics alone are unlikely to fully explain the ‘lensing is low’ effect at z < 0.54. This analysis demonstrates the power of cross-survey comparisons and provides a promising path for identifying and reducing systematics in future lensing analyses., We acknowledge use of the lux supercomputer at UC Santa Cruz, funded by NSF MRI grant AST 1828315. This material is based on work supported by the U.D Department of Energy, Office of Science, Office of High Energy Physics under Award Number DE-SC0019301. AL acknowledges support from the David and Lucille Packard foundation, and from the Alfred.P Sloan foundation. CH acknowledges support from the European Research Council under grant number 647112, and support from the Max Planck Society and the Alexander von Humboldt Foundation in the framework of the Max Planck-Humboldt Research Award endowed by the Federal Ministry of Education and Research. KK acknowledges support from the Royal Society and Imperial College. HH is supported by a Heisenberg grant of the Deutsche Forschungsgemeinschaft (Hi 1495/5-1), as well as an ERC Consolidator Grant (no. 770935). AHW is supported by an European Research Council Consolidator Grant (no. 770935). Funding for the DES Projects has been provided by the U.S. Department of Energy; the U.S. National Science Foundation; the Ministry of Science and Education of Spain; the Science and Technology Facilities Council of the United Kingdom; the Higher Education Funding Council for England; the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign; the Kavli Institute of Cosmological Physics at the University of Chicago; the Center for Cosmology and Astro-Particle Physics at the Ohio State University; the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University; Financiadora de Estudos e Projetos; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico and the Ministério da Ciência; Tecnologia e Inovação; the Deutsche Forschungsgemeinschaft; and the Collaborating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne National Laboratory; the University of California at Santa Cruz; the University of Cambridge; Centro de Investigaciones Energéticas; Medioambientales y Tecnológicas-Madrid; the University of Chicago; University College London; the DES-Brazil Consortium; the University of Edinburgh; the Eidgenössische Technische Hochschule (ETH) Zürich; Fermi National Accelerator Laboratory; the University of Illinois at Urbana-Champaign; the Institut de Ciències de l’Espai (IEEC/CSIC); the Institut de Física d’Altes Energies; Lawrence Berkeley National Laboratory; the Ludwig-Maximilians Universität München and the associated Excellence Cluster Universe; the University of Michigan; NFS’s NOIRLab; the University of Nottingham; The Ohio State University; the University of Pennsylvania; the University of Portsmouth; SLAC National Accelerator Laboratory; Stanford University; the University of Sussex; Texas A&M University; and the OzDES Membership Consortium. Based in part on observations at Cerro Tololo Inter-American Observatory at NSF’s NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES data management system is supported by the National Science Foundation under grant numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics. The Hyper Suprime-Cam (HSC) collaboration includes the astronomical communities of Japan and Taiwan, and Princeton University. The HSC instrumentation and software were developed by the National Astronomical Observatory of Japan (NAOJ), the Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU), the University of Tokyo, the High Energy Accelerator Research Organisation (KEK), the Academia Sinica Institute for Astronomy and Astrophysics in Taiwan (ASIAA), and Princeton University. Funding was contributed by the FIRST program from the Japanese Cabinet Office, the Ministry of Education, Culture, Sports, Science, and Technology (MEXT), the Japan Society for the Promotion of Science (JSPS), Japan Science and Technology Agency (JST), the Toray Science Foundation, NAOJ, Kavli IPMU, KEK, ASIAA, and Princeton University. This paper makes use of software developed for the Large Synoptic Survey Telescope. We thank the LSST Project for making their code available as free software at http://dm.lsst.org This paper is based [in part] on data collected at the Subaru Telescope and retrieved from the HSC data archive system, which is operated by Subaru Telescope and Astronomy Data Center (ADC) at NAOJ. Data analysis was in part carried out with the cooperation of Center for Computational Astrophysics (CfCA), NAOJ. The Pan-STARRS1 Surveys (PS1) and the PS1 public science archive have been made possible through contributions by the Institute for Astronomy, the University of Hawaii, the Pan-STARRS Project Office, the Max Planck Society and its participating institutes, the Max Planck Institute for Astronomy, Heidelberg, and the Max Planck Institute for Extraterrestrial Physics, Garching, The Johns Hopkins University, Durham University, the University of Edinburgh, the Queen’s University Belfast, the Harvard-Smithsonian Center for Astrophysics, the Las Cumbres Observatory Global Telescope Network Incorporated, the National Central University of Taiwan, the Space Telescope Science Institute, the National Aeronautics and Space Administration under grant No. NNX08AR22G issued through the Planetary Science Division of the NASA Science Mission Directorate, the National Science Foundation grant no. AST-1238877, the University of Maryland, Eotvos Lorand University (ELTE), the Los Alamos National Laboratory, and the Gordon and Betty Moore Foundation. Based on observations made with ESO Telescopes at the La Silla Paranal Observatory under programme IDs 177.A-3016, 177.A-3017, 177.A-3018, and 179.A-2004, and on data products produced by the KiDS consortium. The KiDS production team acknowledges support from: Deutsche Forschungsgemeinschaft, ERC, NOVA, and NWO-M grants; Target; the University of Padova, and the University Federico II (Naples). This work was supported by the Department of Energy, Laboratory Directed Research and Development program at SLAC National Accelerator Laboratory, under contract DE-AC02-76SF00515 and as a part of the Panofsky Fellowship awarded to DG. MM is partially funded by FAPERJ, CNPq, and CONICET. BM acknowledges support from the Brazilian funding agency FAPERJ.
Published: 2021
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47. The impact of spectroscopic incompleteness in direct calibration of redshift distributions for weak lensing surveys

Author: Marcos Lima, J. Gschwend, J. DeRose, E. Suchyta, Gary Bernstein, Peter Melchior, R. Cawthon, D. L. Burke, A. Roodman, Felipe Menanteau, Michael Schubnell, David J. James, Joshua A. Frieman, I. Sevilla-Noarbe, Antonella Palmese, R. Miquel, S. Samani, Ofer Lahav, Pablo Fosalba, M. A. G. Maia, W. G. Hartley, M. Smith, J. Carretero, D. L. Hollowood, N. Kuropatkin, David J. Brooks, T. N. Varga, Tamara M. Davis, Jochen Weller, Samuel Hinton, F. J. Castander, Eli S. Rykoff, Risa H. Wechsler, M. Carrasco Kind, Daniel Gruen, L. N. da Costa, Jacobo Asorey, H. T. Diehl, J. Annis, S. Allam, Robert A. Gruendl, G. Gutierrez, S. Serrano, A. Carnero Rosell, R. L. C. Ogando, Elisabeth Krause, T. M. C. Abbott, V. Scarpine, Markus Rau, K. Honscheid, E. Bertin, E. J. Sanchez, Jennifer L. Marshall, A. L. King, Enrique Gaztanaga, D. W. Gerdes, Ben Hoyle, C. Lidman, Michel Aguena, S. Kent, A. A. Plazas, F. Paz-Chinchón, Sarah Bridle, Santiago Avila, L. Whiteway, Chihway Chang, Douglas L. Tucker, Kyler Kuehn, S. Desai, G. Tarle, Marcelle Soares-Santos, Michael Troxel, M. Costanzi, B. Flaugher, R. D. Wilkinson, J. P. Dietrich, Juan Garcia-Bellido, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Ministerio de Economía y Competitividad (España), European Commission, European Research Council, Generalitat de Catalunya, Hartley, W. G., Chang, C., Samani, S., Carnero Rosell, A., Davis, T. M., Hoyle, B., Gruen, D., Asorey, J., Gschwend, J., Lidman, C., Kuehn, K., King, A., Rau, M. M., Wechsler, R. H., Derose, J., Hinton, S. R., Whiteway, L., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Avila, S., Bernstein, G. M., Bertin, E., Bridle, S. L., Brooks, D., Burke, D. L., Carrasco Kind, M., Carretero, J., Castander, F. J., Cawthon, R., Costanzi, M., da Costa, L. N., Desai, S., Diehl, H. T., Dietrich, J. P., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruendl, R. A., Gutierrez, G., Hollowood, D. L., Honscheid, K., James, D. J., Kent, S., Krause, E., Kuropatkin, N., Lahav, O., Lima, M., Maia, M. A. G., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Roodman, A., Rykoff, E. S., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., Troxel, M. A., Tucker, D. L., Varga, T. N., Weller, J., Wilkinson, R. D., and Des, Collaboration
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Software_OPERATINGSYSTEMS, ComputingMethodologies_SIMULATIONANDMODELING, media_common.quotation_subject, Large-scale structure of universe, FOS: Physical sciences, Astrophysics, Data_CODINGANDINFORMATIONTHEORY, Astrophysics::Cosmology and Extragalactic Astrophysics, distance scale, 01 natural sciences, Cosmology, Photometry (optics), gravitational lensing: weak, statistics [Galaxies], Astrophysics - Astrophysics of Galaxie, 0103 physical sciences, distances and redshifts [Galaxies], Hardware_INTEGRATEDCIRCUITS, distances and redshift [galaxies], statistic [galaxies], 010303 astronomy & astrophysics, Weak gravitational lensing, galaxies: statistics, media_common, Selection bias, Physics, galaxies: distances and redshifts, large-scale structure of Universe, Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, 010308 nuclear & particles physics, Astronomy and Astrophysics, ComputerSystemsOrganization_PROCESSORARCHITECTURES, Galaxy, Redshift, Weighting, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), Dark energy, weak [Gravitational lensing], [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
Abstract: DES Collaboration: et al., Obtaining accurate distributions of galaxy redshifts is a critical aspect of weak lensing cosmology experiments. One of the methods used to estimate and validate redshift distributions is to apply weights to a spectroscopic sample, so that their weighted photometry distribution matches the target sample. In this work, we estimate the selection bias in redshift that is introduced in this procedure. We do so by simulating the process of assembling a spectroscopic sample (including observer-assigned confidence flags) and highlight the impacts of spectroscopic target selection and redshift failures. We use the first year (Y1) weak lensing analysis in Dark Energy Survey (DES) as an example data set but the implications generalize to all similar weak lensing surveys. We find that using colour cuts that are not available to the weak lensing galaxies can introduce biases of up to Δz ∼ 0.04 in the weighted mean redshift of different redshift intervals (Δz ∼ 0.015 in the case most relevant to DES). To assess the impact of incompleteness in spectroscopic samples, we select only objects with high observer-defined confidence flags and compare the weighted mean redshift with the true mean. We find that the mean redshift of the DES Y1 weak lensing sample is typically biased at the Δz = 0.005−0.05 level after the weighting is applied. The bias we uncover can have either sign, depending on the samples and redshift interval considered. For the highest redshift bin, the bias is larger than the uncertainties in the other DES Y1 redshift calibration methods, justifying the decision of not using this method for the redshift estimations. We discuss several methods to mitigate this bias., The DES data management system is supported by the National Science Foundation under grants AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2015-71825, ESP2015-66861, FPA2015-68048, SEV-2016-0588, SEV-2016-0597, and MDM2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciencia e Tecnologia (INCT) e-Universe (CNPq grant 465376/2014-2).
Published: 2020
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48. Dark energy survey year 1 results: Cosmological constraints from cluster abundances and weak lensing

Author: Alex Drlica-Wagner, Dragan Huterer, J. Annis, I. Sevilla-Noarbe, Daniel Scolnic, N. Kuropatkin, Tesla E. Jeltema, F. Paz-Chinchón, K. D. Eckert, T. N. Varga, Brian Nord, Adam Mantz, L. N. da Costa, M. Costanzi, M. A. G. Maia, Michel Aguena, E. Suchyta, August E. Evrard, Brian Yanny, Shantanu Desai, A. Alarcon, M. W. G. Johnson, A. K. Romer, J. Carretero, Paul Martini, V. Scarpine, I. Ferrero, Matt J. Jarvis, Tamara M. Davis, Yanxi Zhang, Tim Eifler, Arya Farahi, David James, Z. Zhang, D. W. Gerdes, Joshua A. Frieman, D. Gruen, R. Cawthon, Antonella Palmese, Pablo Fosalba, Carlos Solans Sanchez, D. H. Brooks, A. R. Walker, B. Flaugher, Risa H. Wechsler, P. Rooney, Keith Bechtol, M. Sako, C. Lidman, A. von der Linden, Erin Sheldon, D. L. Hollowood, M. E. C. Swanson, Huan Lin, Sebastian Bocquet, Julian A. Mayers, Steve Kent, J. De Vicente, Martin Crocce, R. D. Wilkinson, D. L. Burke, Daniel Thomas, E. Buckley-Geer, M. Carrasco Kind, S. Everett, Robert C. Nichol, S. Allam, Robert A. Gruendl, R. L. C. Ogando, J. P. Dietrich, Juan Garcia-Bellido, E. Bertin, Marcos Lima, Michael Troxel, Eduardo Rozo, Jack Elvin-Poole, Enrique Gaztanaga, Peter Doel, Peter Melchior, Ofer Lahav, M. Smith, H. T. Diehl, Douglas L. Tucker, Kyler Kuehn, J. Allyn Smith, Paul Giles, David Bacon, Niall MacCrann, Ami Choi, Ben Hoyle, A. Roodman, Markus Rau, Tommaso Giannantonio, J. Gschwend, Gary Bernstein, Hao-Yi Wu, Tenglin Li, Scott Dodelson, S. W. Allen, Santiago Avila, Chihway Chang, M. D. Johnson, Ramon Miquel, A. Bermeo, Elisabeth Krause, Sebastian Grandis, J. Mena-Fernández, Joe Zuntz, Jochen Weller, F. J. Castander, T. M. C. Abbott, Chun-Hao To, E. J. Sanchez, K. Honscheid, Eli S. Rykoff, Richard G. Kron, A. Carnero Rosell, Felipe Menanteau, S. Samuroff, Gregory Tarle, Santiago Serrano, J. DeRose, D. J. Brout, J. Prat, Samuel Hinton, G. Gutierrez, Xi Chen, A. A. Plazas, Sunayana Bhargava, Joseph J. Mohr, A. Saro, Jennifer L. Marshall, W. G. Hartley, M. Gatti, Juan Estrada, Michael Schubnell, Ministerio de Economía y Competitividad (España), Generalitat de Catalunya, European Commission, European Research Council, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, UAM. Departamento de Física Teórica, Abbott, T. M. C., Aguena, M., Alarcon, A., Allam, S., Allen, S., Annis, J., Avila, S., Bacon, D., Bechtol, K., Bermeo, A., Bernstein, G. M., Bertin, E., Bhargava, S., Bocquet, S., Brooks, D., Brout, D., Buckley-Geer, E., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Chen, X., Choi, A., Costanzi, M., Crocce, M., Da Costa, L. N., Davis, T. M., De Vicente, J., Derose, J., Desai, S., Diehl, H. T., Dietrich, J. P., Dodelson, S., Doel, P., Drlica-Wagner, A., Eckert, K., Eifler, T. F., Elvin-Poole, J., Estrada, J., Everett, S., Evrard, A. E., Farahi, A., Ferrero, I., Flaugher, B., Fosalba, P., Frieman, J., Garcia-Bellido, J., Gatti, M., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Giles, P., Grandis, S., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hoyle, B., Huterer, D., James, D. J., Jarvis, M., Jeltema, T., Johnson, M. W. G., Johnson, M. D., Kent, S., Krause, E., Kron, R., Kuehn, K., Kuropatkin, N., Lahav, O., Li, T. S., Lidman, C., Lima, M., Lin, H., Maccrann, N., Maia, M. A. G., Mantz, A., Marshall, J. L., Martini, P., Mayers, J., Melchior, P., Mena-Fernandez, J., Menanteau, F., Miquel, R., Mohr, J. J., Nichol, R. C., Nord, B., Ogando, R. L. C., Palmese, A., Paz-Chinchon, F., Plazas, A. A., Prat, J., Rau, M. M., Romer, A. K., Roodman, A., Rooney, P., Rozo, E., Rykoff, E. S., Sako, M., Samuroff, S., Sanchez, C., Sanchez, E., Saro, A., Scarpine, V., Schubnell, M., Scolnic, D., Serrano, S., Sevilla-Noarbe, I., Sheldon, E., Smith, J. A., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Troxel, M. A., Tucker, D. L., Varga, T. N., Von Der Linden, A., Walker, A. R., Wechsler, R. H., Weller, J., Wilkinson, R. D., Wu, H., Yanny, B., Zhang, Y., Zhang, Z., and Zuntz, J.
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Software_OPERATINGSYSTEMS, ComputingMethodologies_SIMULATIONANDMODELING, Cosmic microwave background, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Data_CODINGANDINFORMATIONTHEORY, 01 natural sciences, XMM-Newton Telescope, symbols.namesake, 0103 physical sciences, Hardware_INTEGRATEDCIRCUITS, Planck, 010303 astronomy & astrophysics, Weak gravitational lensing, Galaxy cluster, Physics, 010308 nuclear & particles physics, Física, ComputerSystemsOrganization_PROCESSORARCHITECTURES, Galaxies, Cosmos, Redshift, Galaxy, Cosmology, Dark energy, symbols, Baryon acoustic oscillations, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: DES Collaboration: et al., We perform a joint analysis of the counts and weak lensing signal of redMaPPer clusters selected from the Dark Energy Survey (DES) Year 1 dataset. Our analysis uses the same shear and source photometric redshifts estimates as were used in the DES combined probes analysis. Our analysis results in surprisingly low values for S8=σ8(Ωm/0.3)0.5=0.65±0.04, driven by a low matter density parameter, Ωm=0.179+0.031−0.038, with σ8−Ωm posteriors in 2.4σ tension with the DES Y1 3x2pt results, and in 5.6σ with the Planck CMB analysis. These results include the impact of post-unblinding changes to the analysis, which did not improve the level of consistency with other data sets compared to the results obtained at the unblinding. The fact that multiple cosmological probes (supernovae, baryon acoustic oscillations, cosmic shear, galaxy clustering and CMB anisotropies), and other galaxy cluster analyses all favor significantly higher matter densities suggests the presence of systematic errors in the data or an incomplete modeling of the relevant physics. Cross checks with x-ray and microwave data, as well as independent constraints on the observable-mass relation from Sunyaev-Zeldovich selected clusters, suggest that the discrepancy resides in our modeling of the weak lensing signal rather than the cluster abundance. Repeating our analysis using a higher richness threshold (λ≥30) significantly reduces the tension with other probes, and points to one or more richness-dependent effects not captured by our model., The DES data management system is supported by the National Science Foundation under Grants No. AST-1138766 and No. AST-1536171. The DES participants from Spanish institutions are partially supported by MINECO under Grants No. AYA2015-71825, No. ESP2015-66861, No. FPA2015-68048, No. SEV2016-0588, No. SEV-2016-0597, and No. MDM-2015-0509, some of which include ERDF funds from the European Union. I. F. A. E. is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC Grant agreements No. 240672, No. 291329, and No. 306478. We acknowledge support from the Australian Research Council Centre of Excellence for All-sky Astrophysics (CAASTRO), through Project No. CE110001020. This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DEAC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. M. C. and A. S. are supported by the ERC-StG “ClustersXCosmo” Grant agreement No. 716762. A. S. is supported by the FAREMIUR grant “ClustersXEuclid”. E. R. was supported by the DOE Grant No. DE-SC0015975, by the Sloan Foundation, Grant No. FG-2016-6443, and the Cottrell Scholar program of the Research Corporation for Science Advancement. This research used simulations that were performed resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DEAC02-05CH11231.
Published: 2020
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49. Euclid preparation

Author: Stein Vidar Hagfors Haugan, S. Paltani, S. de la Torre, W. A. Holmes, Javier Graciá-Carpio, Ghassem Gozaliasl, Remi A. Cabanac, S. Niemi, Ibrahim Almosallam, S. Galeotta, X. Dupac, Natalia Auricchio, Lauro Moscardini, Carlo Giocoli, Giuseppe Longo, Valeria Pettorino, Carmelita Carbone, E. Zucca, Luigi Guzzo, C. Bodendorf, Enzo Branchini, A. Secroun, N. Martinet, H. Degaudenzi, M. Kilbinger, F. Raison, M. Kuemmel, Roberto P. Saglia, Stefano Cavuoti, Audrey Galametz, B. Gillis, Fabio Finelli, N. Mauri, Massimo Meneghetti, S. Kermiche, M. H. Fabricius, Ismael Tereno, D. Stern, Frank Grupp, P. B. Lilje, Pablo Fosalba, V. Scottez, Andy Taylor, A. Cappi, W. G. Hartley, Giulio Fabbian, E. Keihänen, V. Capobianco, C. C. Kirkpatrick, L. Patrizii, Martin Kunz, Doug Potter, Andrea Tramacere, P. Tallada Crespí, M. Poncet, A. Alvarez-Ayllon, Sandrine Pires, Andrea Biviano, S. Serrano, C. Colodro-Conde, Chiara Sirignano, Joshua S. Speagle, K. Markovic, Yu Wang, Marco Castellano, Andrea Zacchei, Gianluca Castignani, G. Congedo, Emiliano Merlin, G. Desprez, G. Zamorani, F. Sureau, Sebastiano Ligori, Domenico Sapone, I. Lloro, A. Renzi, S. Bardelli, O. Ilbert, Stefano Andreon, A. Da Silva, M. Tenti, Michele Moresco, V. Amaro, Davide Maino, R. Saha, Felix Hormuth, A. Ealet, P. W. Hatfield, Ole Marggraf, G. Polenta, A. Balaguera-Antolinez, S. Farrens, M. Frailis, Carlo Baccigalupi, R. Benton Metcalf, Simona Mei, Sotiria Fotopoulou, Andrew Humphrey, Mark Brodwin, Federico Marulli, M. Fumana, E. Medinaceli, Rafael Toledo-Moreo, Ralf Bender, Pedro G. Ferreira, Emanuel Rossetti, Jarle Brinchmann, G. Meylan, Hannu Kurki-Suonio, C. Padilla, Leonardo Corcione, M. Hailey, Jason Rhodes, Jean-Gabriel Cuby, N. Welikala, L. Conversi, J. De Vicente-Albendea, Thomas D. Kitching, Peter Schneider, Andrea Cimatti, Luca Valenziano, Hélène M. Courtois, Matt J. Jarvis, D. Tavagnacco, Julien Zoubian, T. Vassallo, N. Fourmanoit, S. Pilo, Joseph J. Mohr, Enrico Bozzo, F. Dubath, F. J. Castander, D. Bonino, Marian Douspis, Carlo Burigana, L. Stanco, Elisabetta Maiorano, E. Munari, C. S. Carvalho, G. Sirri, L. Whittaker, Stefano Camera, Matteo Viel, L. Popa, R. Cledassou, Matteo Maturi, Ricard Casas, Fabio Pasian, Jussi-Pekka Väliviita, Jean Coupon, Marco Baldi, F. Torradeflot, Y. Copin, Massimo Brescia, D. Di Ferdinando, C. A. J. Duncan, Mara Salvato, C. J. Conselice, B. Garilli, Clotilde Laigle, B. Kubik, S. Maurogordato, Richard Massey, Knud Jahnke, M. M. Rau, Giuseppe Riccio, S. Casas, R. Kohley, Lucia Pozzetti, W. Gillard, J. Carretero, E. Franceschi, Swiss National Science Foundation, German Research Foundation, Agenzia Nazionale di Valutazione del Sistema Universitario e della Ricerca, European Commission, Academy of Finland, Agenzia Spaziale Italiana, Belgian Science Policy Office, Canadian Euclid Consortium, Centre National D'Etudes Spatiales (France), German Centre for Air and Space Travel, Danish Space Research Institute, Fundação para a Ciência e a Tecnologia (Portugal), Ministerio de Economía y Competitividad (España), National Aeronautics and Space Administration (US), Netherlands Research School for Astronomy, Norwegian Space Agency, Romanian Space Agency, State Secretariat for Education, Research and Innovation (Switzerland), UK Space Agency, Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de recherche en astrophysique et planétologie (IRAP), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Joseph Louis LAGRANGE (LAGRANGE), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Centre National d'Études Spatiales [Toulouse] (CNES), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut d'astrophysique spatiale (IAS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Etudes et Recherche en Mathématiques Appliquées (LERMA), Ecole Mohammadia d'Ingénieurs (EMI), EUCLID Collaboration, Department of Physics, Helsinki Institute of Physics, ITA, USA, GBR, FRA, DEU, ESP, Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Desprez, G., Paltani, S., Coupon, J., Almosallam, I., Alvarez-Ayllon, A., Amaro, V., Brescia, M., Brodwin, M., Cavuoti, S., De Vicente-Albendea, J., Fotopoulou, S., Hatfield, P. W., Hartley, W. G., Ilbert, O., Jarvis, M. J., Longo, G., Rau, M. M., Saha, R., Speagle, J. S., Tramacere, A., Castellano, M., Dubath, F., Galametz, A., Kuemmel, M., Laigle, C., Merlin, E., Mohr, J. J., Pilo, S., Salvato, M., Andreon, S., Auricchio, N., Baccigalupi, C., Balaguera-Antolinez, A., Baldi, M., Bardelli, S., Bender, R., Biviano, A., Bodendorf, C., Bonino, D., Bozzo, E., Branchini, E., Brinchmann, J., Burigana, C., Cabanac, R., Camera, S., Capobianco, V., Cappi, A., Carbone, C., Carretero, J., Carvalho, C. S., Casas, R., Casas, S., Castander, F. J., Castignani, G., Cimatti, A., Cledassou, R., Colodro-Conde, C., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Corcione, L., Courtois, H. M., Cuby, J. -G., Da Silva, A., De La Torre, S., Degaudenzi, H., DI Ferdinando, D., Douspis, M., Duncan, C. A. J., Dupac, X., Ealet, A., Fabbian, G., Fabricius, M., Farrens, S., Ferreira, P. G., Finelli, F., Fosalba, P., Fourmanoit, N., Frailis, M., Franceschi, E., Fumana, M., Galeotta, S., Garilli, B., Gillard, W., Gillis, B., Giocoli, C., Gozaliasl, G., Gracia-Carpio, J., Grupp, F., Guzzo, L., Hailey, M., Haugan, S. V. H., Holmes, W., Hormuth, F., Humphrey, A., Jahnke, K., Keihanen, E., Kermiche, S., Kilbinger, M., Kirkpatrick, C. C., Kitching, T. D., Kohley, R., Kubik, B., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Maino, D., Maiorano, E., Marggraf, O., Markovic, K., Martinet, N., Marulli, F., Massey, R., Maturi, M., Mauri, N., Maurogordato, S., Medinaceli, E., Mei, S., Meneghetti, M., Benton Metcalf, R., Meylan, G., Moresco, M., Moscardini, L., Munari, E., Niemi, S., Padilla, C., Pasian, F., Patrizii, L., Pettorino, V., Pires, S., Polenta, G., Poncet, M., Popa, L., Potter, D., Pozzetti, L., Raison, F., Renzi, A., Rhodes, J., Riccio, G., Rossetti, E., Saglia, R., Sapone, D., Schneider, P., Scottez, V., Secroun, A., Serrano, S., Sirignano, C., Sirri, G., Stanco, L., Stern, D., Sureau, F., Tallada Crespi, P., Tavagnacco, D., Taylor, A. N., Tenti, M., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Valenziano, L., Valiviita, J., Vassallo, T., Viel, M., Wang, Y., Welikala, N., Whittaker, L., Zacchei, A., Zamorani, G., Zoubian, J., Zucca, E., Desprez G., Paltani S., Coupon J., Almosallam I., Alvarez-Ayllon A., Amaro V., Brescia M., Brodwin M., Cavuoti S., De Vicente-Albendea J., Fotopoulou S., Hatfield P.W., Hartley W.G., Ilbert O., Jarvis M.J., Longo G., Rau M.M., Saha R., Speagle J.S., Tramacere A., Castellano M., Dubath F., Galametz A., Kuemmel M., Laigle C., Merlin E., Mohr J.J., Pilo S., Salvato M., Andreon S., Auricchio N., Baccigalupi C., Balaguera-Antolinez A., Baldi M., Bardelli S., Bender R., Biviano A., Bodendorf C., Bonino D., Bozzo E., Branchini E., Brinchmann J., Burigana C., Cabanac R., Camera S., Capobianco V., Cappi A., Carbone C., Carretero J., Carvalho C.S., Casas R., Casas S., Castander F.J., Castignani G., Cimatti A., Cledassou R., Colodro-Conde C., Congedo G., Conselice C.J., Conversi L., Copin Y., Corcione L., Courtois H.M., Cuby J.-G., Da Silva A., De La Torre S., Degaudenzi H., DI Ferdinando D., Douspis M., Duncan C.A.J., Dupac X., Ealet A., Fabbian G., Fabricius M., Farrens S., Ferreira P.G., Finelli F., Fosalba P., Fourmanoit N., Frailis M., Franceschi E., Fumana M., Galeotta S., Garilli B., Gillard W., Gillis B., Giocoli C., Gozaliasl G., Gracia-Carpio J., Grupp F., Guzzo L., Hailey M., Haugan S.V.H., Holmes W., Hormuth F., Humphrey A., Jahnke K., Keihanen E., Kermiche S., Kilbinger M., Kirkpatrick C.C., Kitching T.D., Kohley R., Kubik B., Kunz M., Kurki-Suonio H., Ligori S., Lilje P.B., Lloro I., Maino D., Maiorano E., Marggraf O., Markovic K., Martinet N., Marulli F., Massey R., Maturi M., Mauri N., Maurogordato S., Medinaceli E., Mei S., Meneghetti M., Benton Metcalf R., Meylan G., Moresco M., Moscardini L., Munari E., Niemi S., Padilla C., Pasian F., Patrizii L., Pettorino V., Pires S., Polenta G., Poncet M., Popa L., Potter D., Pozzetti L., Raison F., Renzi A., Rhodes J., Riccio G., Rossetti E., Saglia R., Sapone D., Schneider P., Scottez V., Secroun A., Serrano S., Sirignano C., Sirri G., Stanco L., Stern D., Sureau F., Tallada Crespi P., Tavagnacco D., Taylor A.N., Tenti M., Tereno I., Toledo-Moreo R., Torradeflot F., Valenziano L., Valiviita J., Vassallo T., Viel M., Wang Y., Welikala N., Whittaker L., Zacchei A., Zamorani G., Zoubian J., and Zucca E.
Subjects: PREDICTION, [SDU.ASTR.CO]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], Astrophysics, Surveys, 01 natural sciences, TELESCOPE ADVANCED CAMERA, Cosmology, galaxies, Galaxies: distances and redshift, PROBABILITY DENSITY-ESTIMATION, Survey, 010303 astronomy & astrophysics, Photometric redshift, COSMOS, Physics, Ground truth, distances and redshift [Galaxies], distances and redshifts -surveys -techniques, Outlier, astro-ph.CO, Probability distribution, Catalog, [SDU.ASTR.GA]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Galactic Astrophysics [astro-ph.GA], Algorithm, Astrophysics - Cosmology and Nongalactic Astrophysics, Cosmology and Nongalactic Astrophysics (astro-ph.CO), astro-ph.GA, miscellaneous [Techniques], Catalogs, Galaxies: distances and redshifts, Techniques: miscellaneous, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Photometry (optics), Settore FIS/05 - Astronomia e Astrofisica, 0103 physical sciences, distances and redshifts [Galaxies], 010308 nuclear & particles physics, Astronomy and Astrophysics, 115 Astronomy, Space science, Catalogues, Astrophysics - Astrophysics of Galaxies, Redshift, Galaxy, EVOLUTION, miscellaneous -catalogs, MACHINE, Space and Planetary Science, [SDU]Sciences of the Universe [physics], Astrophysics of Galaxies (astro-ph.GA), EMISSION
Abstract: Forthcoming large photometric surveys for cosmology require precise and accurate photometric redshift (photo-z) measurements for the success of their main science objectives. However, to date, no method has been able to produce photo-zs at the required accuracy using only the broad-band photometry that those surveys will provide. An assessment of the strengths and weaknesses of current methods is a crucial step in the eventual development of an approach to meet this challenge. We report on the performance of 13 photometric redshift code single value redshift estimates and redshift probability distributions (PDZs) on a common set of data, focusing particularly on the 0.2pdbl-pdbl2.6 redshift range that the Euclid mission will probe. We designed a challenge using emulated Euclid data drawn from three photometric surveys of the COSMOS field. The data was divided into two samples: one calibration sample for which photometry and redshifts were provided to the participants; and the validation sample, containing only the photometry to ensure a blinded test of the methods. Participants were invited to provide a redshift single value estimate and a PDZ for each source in the validation sample, along with a rejection flag that indicates the sources they consider unfit for use in cosmological analyses. The performance of each method was assessed through a set of informative metrics, using cross-matched spectroscopic and highly-accurate photometric redshifts as the ground truth. We show that the rejection criteria set by participants are efficient in removing strong outliers, that is to say sources for which the photo-z deviates by more than 0.15(1pdbl+pdblz) from the spectroscopic-redshift (spec-z). We also show that, while all methods are able to provide reliable single value estimates, several machine-learning methods do not manage to produce useful PDZs. We find that no machine-learning method provides good results in the regions of galaxy color-space that are sparsely populated by spectroscopic-redshifts, for example zpdbl> pdbl1. However they generally perform better than template-fitting methods at low redshift (zpdbl< pdbl0.7), indicating that template-fitting methods do not use all of the information contained in the photometry. We introduce metrics that quantify both photo-z precision and completeness of the samples (post-rejection), since both contribute to the final figure of merit of the science goals of the survey (e.g., cosmic shear from Euclid). Template-fitting methods provide the best results in these metrics, but we show that a combination of template-fitting results and machine-learning results with rejection criteria can outperform any individual method. On this basis, we argue that further work in identifying how to best select between machine-learning and template-fitting approaches for each individual galaxy should be pursued as a priority., GD and AG acknowledge the support from the Sinergia program of the Swiss National Science Foundation. Part of this work was supported by the German Deutsche Forschungsgemeinschaft, DFG project number Ts 17/2–1. MB acknowledges the financial contribution from the agreement ASI/INAF 2018-23-HH.0, Euclid ESA mission – Phase D and the INAF PRIN-SKA 2017 program 1.05.01.88.04. SC acknowledges the financial contribution from FFABR 2017. The Euclid Consortium acknowledges the European Space Agency and a number of agencies and institutes that have supported the development of Euclid, in particular the Academy of Finland, the Agenzia Spaziale Italiana, the Belgian Science Policy, the Canadian Euclid Consortium, the Centre National d’Etudes Spatiales, the Deutsches Zentrum für Luft- und Raumfahrt, the Danish Space Research Institute, the Fundação para a Ciência e a Tecnologia, the Ministerio de Economia y Competitividad, the National Aeronautics and Space Administration, the Netherlandse Onderzoekschool Voor Astronomie, the Norwegian Space Agency, the Romanian Space Agency, the State Secretariat for Education, Research and Innovation (SERI) at the Swiss Space Office (SSO), and the United Kingdom Space Agency. A complete and detailed list is available on the Euclid website (http://www.euclid-ec.org).
Published: 2020
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50. Is diffuse intracluster light a good tracer of the galaxy cluster matter distribution?

Author: R. L. C. Ogando, Brian Yanny, Enrique Gaztanaga, Antonella Palmese, E. Suchyta, S. Everett, August E. Evrard, M. A. G. Maia, Matt Hilton, Tesla E. Jeltema, A. Choi, J. Carretero, Douglas L. Tucker, Kyler Kuehn, G. Tarle, K. Honscheid, M. Costanzi, Michel Aguena, J. Gschwend, David J. James, M. Carrasco Kind, Ofer Lahav, D. L. Burke, Pablo Fosalba, Scarpine, Markus Rau, Chang Chihway, B. Flaugher, S. Allam, Robert A. Gruendl, T. M. C. Abbott, D. L. Hollowood, David J. Brooks, A. A. Plazas, M. March, Basilio X. Santiago, Ben Hoyle, Josh Frieman, Jesse B. Golden-Marx, J. Annis, J. De Vicente, E. J. Sanchez, Mohr Joe, N. Kuropatkin, T. N. Varga, L. N. da Costa, Santiago Avila, Chihway Chang, Jennifer L. Marshall, F. Paz-Chinchón, Michael Schubnell, H. Sampaio-Santos, Pagul Amanda, Joe Zuntz, M. Smith, Daniel Gruen, T. Shin, D. W. Gerdes, M. Gatti, Samuel Hinton, G. Gutierrez, Risa H. Wechsler, Matt J. Jarvis, Yanxi Zhang, Ramon Miquel, E. Bertin, Peter Doel, K. Herner, H. T. Diehl, Juan Garcia-Bellido, Sampaio-Santos, H., Zhang, Y., Ogando, R. L. C., Shin, T., Golden-Marx, Jesse B., Yanny, B., Herner, K., Hilton, M., Choi, A., Gatti, M., Gruen, D., Hoyle, B., Rau, M. M., De Vicente, J., Zuntz, J., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Avila, S., Bertin, E., Brooks, D., Burke, D. L., Carrasco Kind, M., Carretero, J., Chang, C., Costanzi, M., da Costa, L. N., Diehl, H. T., Doel, P., Everett, S., Evrard, A. E., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Jarvis, M., Jeltema, T., Kuehn, K., Kuropatkin, N., Lahav, O., Maia, M. A. G., March, M., Marshall, J. L., Miquel, R., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Sanchez, E., Santiago, B., Scarpine, V., Schubnell, M., Smith, M., Suchyta, E., Tarle, G., Tucker, D. L., Varga, T. N., Wechsler, R. H., UAM. Departamento de Física Teórica, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and DES
Subjects: galaxies: clusters, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Stellar mass, Evolution, galaxies: photometry, dark matter, Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, Dark matter, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Optical Light, Luminosity, Clusters, Photometry, Astrophysics - Astrophysics of Galaxie, Clusters: General [Galaxies], Stellar Haloes, 0103 physical sciences, Cluster (physics), Galaxy formation and evolution, Satellite galaxy, Galaxies: Photometry, Dark Matter, Surface brightness, General, 010303 astronomy & astrophysics, Weak gravitational lensing, Astrophysics::Galaxy Astrophysics, Physics, 010308 nuclear & particles physics, Dark Energy Survey, Física, Astronomy and Astrophysics, Illustristng Simulations, Mass, Galaxies, Galaxy, Space and Planetary Science, cluster [galaxies], Astrophysics of Galaxies (astro-ph.GA), Calibration, photometry [galaxies], [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Galaxies: Clusters: General
Abstract: We explore the relation between diffuse intracluster light (central galaxy included) and the galaxy cluster (baryonic and dark) matter distribution using a sample of 528 clusters at $0.2\leq z \leq 0.35$ found in the Dark Energy Survey (DES) Year 1 data. The surface brightness of the diffuse light shows an increasing dependence on cluster total mass at larger radius, and appears to be self-similar with a universal radial dependence after scaling by cluster radius. We also compare the diffuse light radial profiles to the cluster (baryonic and dark) matter distribution measured through weak lensing and find them to be comparable. The IllustrisTNG galaxy formation simulation, TNG300, offers further insight into the connection between diffuse stellar mass and cluster matter distributions -- the simulation radial profile of the diffuse stellar component does not have a similar slope with the total cluster matter content, although that of the cluster satellite galaxies does. Regardless of the radial trends, the amount of diffuse stellar mass has a low-scatter scaling relation with cluster's total mass in the simulation, out-performing the total stellar mass of cluster satellite galaxies. We conclude that there is no consistent evidence yet on whether or not diffuse light is a faithful radial tracer of the cluster matter distribution. Nevertheless, both observational and simulation results reveal that diffuse light is an excellent indicator of the cluster's total mass., Comment: Accepted on MNRAS
Published: 2020
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