Author: "Lidman, C." / Publication Type: Electronic Resources - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Lidman, C."' showing total 692 results

Start Over Author "Lidman, C." Publication Type Electronic Resources

692 results on '"Lidman, C."'

1. The Dark Energy Survey 5-year photometrically classified type Ia supernovae without host-galaxy redshifts

Author: Möller, A., Wiseman, P., Smith, M., Lidman, C., Davis, T. M., Kessler, R., Sako, M., Sullivan, M., Galbany, L., Lee, J., Nichol, R. C., Sánchez, B. O., Tucker, B. E., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Andrade-Oliveira, F., Bacon, D., Bertin, E., Brooks, D., Rosell, A. Carnero, Castander, F. J., Desai, S., Diehl, H. T., Everett, S., Ferrero, I., Friedel, D., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannini, G., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Myles, J., Ogando, R. L. C., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Roodman, A., Sanchez, E., Cid, D. Sanchez, Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarle, G., Tucker, D. L., Vincenzi, M., Walker, A. R., Weaverdyck, N., da Costa, L. N., Pereira, M. E. S., Möller, A., Wiseman, P., Smith, M., Lidman, C., Davis, T. M., Kessler, R., Sako, M., Sullivan, M., Galbany, L., Lee, J., Nichol, R. C., Sánchez, B. O., Tucker, B. E., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Andrade-Oliveira, F., Bacon, D., Bertin, E., Brooks, D., Rosell, A. Carnero, Castander, F. J., Desai, S., Diehl, H. T., Everett, S., Ferrero, I., Friedel, D., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannini, G., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Myles, J., Ogando, R. L. C., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Roodman, A., Sanchez, E., Cid, D. Sanchez, Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarle, G., Tucker, D. L., Vincenzi, M., Walker, A. R., Weaverdyck, N., da Costa, L. N., and Pereira, M. E. S.
Abstract: Current and future Type Ia Supernova (SN Ia) surveys will need to adopt new approaches to classifying SNe and obtaining their redshifts without spectra if they wish to reach their full potential. We present here a novel approach that uses only photometry to identify SNe Ia in the 5-year Dark Energy Survey (DES) dataset using the SUPERNNOVA classifier. Our approach, which does not rely on any information from the SN host-galaxy, recovers SNe Ia that might otherwise be lost due to a lack of an identifiable host. We select 2,298 high-quality SNe Ia from the DES 5-year dataset. More than 700 of these have no spectroscopic host redshift and are potentially new SNIa compared to the DES-SN5YR cosmology analysis. To analyse these SNe Ia, we derive their redshifts and properties using only their light-curves with a modified version of the SALT2 light-curve fitter. Compared to other DES SN Ia samples with spectroscopic redshifts, our new sample has in average higher redshift, bluer and broader light-curves, and fainter host-galaxies. Future surveys such as LSST will also face an additional challenge, the scarcity of spectroscopic resources for follow-up. When applying our novel method to DES data, we reduce the need for follow-up by a factor of four and three for host-galaxy and live SN respectively compared to earlier approaches. Our novel method thus leads to better optimisation of spectroscopic resources for follow-up., Comment: Submitted to MNRAS
Published: 2024

2. Dark Energy Survey: A 2.1% measurement of the angular Baryonic Acoustic Oscillation scale at redshift $z_{\rm eff}$=0.85 from the final dataset

Author: DES Collaboration, Abbott, T. M. C., Adamow, M., Aguena, M., Allam, S., Alves, O., Amon, A., Andrade-Oliveira, F., Asorey, J., Avila, S., Bacon, D., Bechtol, K., Bernstein, G. M., Bertin, E., Blazek, J., Bocquet, S., Brooks, D., Burke, D. L., Camacho, H., Rosell, A. Carnero, Carollo, D., Carretero, J., Castander, F. J., Cawthon, R., Chan, K. C., Chang, C., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., De Vicente, J., Deiosso, N., Desai, S., Diehl, H. T., Dodelson, S., Doux, C., Drlica-Wagner, A., Elvin-Poole, J., Everett, S., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannini, G., Gruendl, R. A., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kent, S., Kuehn, K., Lahav, O., Lee, S., Lidman, C., Lin, H., Marshall, J. L., Martini, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Mohr, J. J., Myles, J., Nichol, R. C., Ogando, R. L. C., Palmese, A., Percival, W. J., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Rodríguez-Monroy, M., Romer, A. K., Roodman, A., Rosenfeld, R., Ross, A. J., Rykoff, E. S., Sako, M., Samuroff, S., Sánchez, C., Sanchez, E., Cid, D. Sanchez, Santiago, B., Schubnell, M., Sevilla-Noarbe, I., Sheldon, E., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Cipriano, L. Toribio San, Troxel, M. A., Tucker, B. E., Tucker, D. L., Walker, A. R., Weaverdyck, N., Weller, J., Wiseman, P., Yanny, B., DES Collaboration, Abbott, T. M. C., Adamow, M., Aguena, M., Allam, S., Alves, O., Amon, A., Andrade-Oliveira, F., Asorey, J., Avila, S., Bacon, D., Bechtol, K., Bernstein, G. M., Bertin, E., Blazek, J., Bocquet, S., Brooks, D., Burke, D. L., Camacho, H., Rosell, A. Carnero, Carollo, D., Carretero, J., Castander, F. J., Cawthon, R., Chan, K. C., Chang, C., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., De Vicente, J., Deiosso, N., Desai, S., Diehl, H. T., Dodelson, S., Doux, C., Drlica-Wagner, A., Elvin-Poole, J., Everett, S., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannini, G., Gruendl, R. A., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kent, S., Kuehn, K., Lahav, O., Lee, S., Lidman, C., Lin, H., Marshall, J. L., Martini, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Mohr, J. J., Myles, J., Nichol, R. C., Ogando, R. L. C., Palmese, A., Percival, W. J., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Rodríguez-Monroy, M., Romer, A. K., Roodman, A., Rosenfeld, R., Ross, A. J., Rykoff, E. S., Sako, M., Samuroff, S., Sánchez, C., Sanchez, E., Cid, D. Sanchez, Santiago, B., Schubnell, M., Sevilla-Noarbe, I., Sheldon, E., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Cipriano, L. Toribio San, Troxel, M. A., Tucker, B. E., Tucker, D. L., Walker, A. R., Weaverdyck, N., Weller, J., Wiseman, P., and Yanny, B.
Abstract: We present the angular diameter distance measurement obtained with the Baryonic Acoustic Oscillation feature from galaxy clustering in the completed Dark Energy Survey, consisting of six years (Y6) of observations. We use the Y6 BAO galaxy sample, optimized for BAO science in the redshift range 0.6<$z$<1.2, with an effective redshift at $z_{\rm eff}$=0.85 and split into six tomographic bins. The sample has nearly 16 million galaxies over 4,273 square degrees. Our consensus measurement constrains the ratio of the angular distance to sound horizon scale to $D_M(z_{\rm eff})/r_d$ = 19.51$\pm$0.41 (at 68.3% confidence interval), resulting from comparing the BAO position in our data to that predicted by Planck $\Lambda$CDM via the BAO shift parameter $\alpha=(D_M/r_d)/(D_M/r_d)_{\rm Planck}$. To achieve this, the BAO shift is measured with three different methods, Angular Correlation Function (ACF), Angular Power Spectrum (APS), and Projected Correlation Function (PCF) obtaining $\alpha=$ 0.952$\pm$0.023, 0.962$\pm$0.022, and 0.955$\pm$0.020, respectively, which we combine to $\alpha=$ 0.957$\pm$0.020, including systematic errors. When compared with the $\Lambda$CDM model that best fits Planck data, this measurement is found to be 4.3% and 2.1$\sigma$ below the angular BAO scale predicted. To date, it represents the most precise angular BAO measurement at $z$>0.75 from any survey and the most precise measurement at any redshift from photometric surveys. The analysis was performed blinded to the BAO position and it is shown to be robust against analysis choices, data removal, redshift calibrations and observational systematics., Comment: Submitted to PRD, 39 pages, 12 figures
Published: 2024

3. Dark Energy Survey: Galaxy Sample for the Baryonic Acoustic Oscillation Measurement from the Final Dataset

Author: Mena-Fernández, J., Rodríguez-Monroy, M., Avila, S., Porredon, A., Chan, K. C., Camacho, H., Weaverdyck, N., Sevilla-Noarbe, I., Sanchez, E., Cipriano, L. Toribio San, De Vicente, J., Ferrero, I., Cawthon, R., Rosell, A. Carnero, Elvin-Poole, J., Giannini, G., Adamow, M., Bechtol, K., Drlica-Wagner, A., Gruendl, R. A., Hartley, W. G., Pieres, A., Ross, A. J., Rykoff, E. S., Sheldon, E., Yanny, B., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Amon, A., Andrade-Oliveira, F., Annis, J., Bacon, D., Blazek, J., Bocquet, S., Brooks, D., Carretero, J., Castander, F. J., Conselice, C., Crocce, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., Deiosso, N., Desai, S., Diehl, H. T., Dodelson, S., Doux, C., Everett, S., Frieman, J., García-Bellido, J., Gaztanaga, E., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Kuehn, K., Lahav, O., Lee, S., Lidman, C., Lin, H., Marshall, J. L., Menanteau, F., Miquel, R., Myles, J., Ogando, R. L. C., Palmese, A., Percival, W. J., Malagón, A. A. Plazas, Roodman, A., Rosenfeld, R., Samuroff, S., Cid, D. Sanchez, Santiago, B., Schubnell, M., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Tucker, D. L., Walker, A. R., Weller, J., Wiseman, P., Yamamoto, M., Mena-Fernández, J., Rodríguez-Monroy, M., Avila, S., Porredon, A., Chan, K. C., Camacho, H., Weaverdyck, N., Sevilla-Noarbe, I., Sanchez, E., Cipriano, L. Toribio San, De Vicente, J., Ferrero, I., Cawthon, R., Rosell, A. Carnero, Elvin-Poole, J., Giannini, G., Adamow, M., Bechtol, K., Drlica-Wagner, A., Gruendl, R. A., Hartley, W. G., Pieres, A., Ross, A. J., Rykoff, E. S., Sheldon, E., Yanny, B., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Amon, A., Andrade-Oliveira, F., Annis, J., Bacon, D., Blazek, J., Bocquet, S., Brooks, D., Carretero, J., Castander, F. J., Conselice, C., Crocce, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., Deiosso, N., Desai, S., Diehl, H. T., Dodelson, S., Doux, C., Everett, S., Frieman, J., García-Bellido, J., Gaztanaga, E., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Kuehn, K., Lahav, O., Lee, S., Lidman, C., Lin, H., Marshall, J. L., Menanteau, F., Miquel, R., Myles, J., Ogando, R. L. C., Palmese, A., Percival, W. J., Malagón, A. A. Plazas, Roodman, A., Rosenfeld, R., Samuroff, S., Cid, D. Sanchez, Santiago, B., Schubnell, M., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Tucker, D. L., Walker, A. R., Weller, J., Wiseman, P., and Yamamoto, M.
Abstract: In this paper we present and validate the galaxy sample used for the analysis of the baryon acoustic oscillation (BAO) signal in the Dark Energy Survey (DES) Y6 data. The definition is based on a color and redshift-dependent magnitude cut optimized to select galaxies at redshifts higher than 0.6, while ensuring a high-quality photo-$z$ determination. The optimization is performed using a Fisher forecast algorithm, finding the optimal $i$-magnitude cut to be given by $i$<19.64+2.894$z_{\rm ph}$. For the optimal sample, we forecast an increase in precision in the BAO measurement of $\sim$25% with respect to the Y3 analysis. Our BAO sample has a total of 15,937,556 galaxies in the redshift range 0.6<$z_{\rm ph}$<1.2, and its angular mask covers 4,273.42 deg${}^2$ to a depth of $i$=22.5. We validate its redshift distributions with three different methods: directional neighborhood fitting algorithm (DNF), which is our primary photo-$z$ estimation; direct calibration with spectroscopic redshifts from VIPERS; and clustering redshift using SDSS galaxies. The fiducial redshift distribution is a combination of these three techniques performed by modifying the mean and width of the DNF distributions to match those of VIPERS and clustering redshift. In this paper we also describe the methodology used to mitigate the effect of observational systematics, which is analogous to the one used in the Y3 analysis. This paper is one of the two dedicated to the analysis of the BAO signal in DES Y6. In its companion paper, we present the angular diameter distance constraints obtained through the fitting to the BAO scale., Comment: 23 pages, 10 figures. Submitted to PRD
Published: 2024

4. Copacabana: A Probabilistic Membership Assignment Method for Galaxy Clusters

Author: Esteves, J. H., Pereira, M. E. S., Soares-Santos, M., Annis, J., Farahi, A., Andrade-Oliveira, F., Barchi, P., Palmese, A., Lin, H., Welch, B., Wu, H. -Y., Aguena, M., Bacon, O. Alves D., Bocquet, S., Brooks, D., Rosell, A. Carnero, Carretero, J., Costanzi, M., da Costa, L. N., De Vicente, J., Doel, P., Everett, S., Flaugher, B., Frieman, J., García-Bellido, J., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lidman, C., Lima, M., Marshall, J. L., Mena-Fernández, J., Miquel, R., Myles, J., Ogando, R. L. C., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Sanchez, E., Cid, D. Sanchez, Santiago, B., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Weaverdyck, N., Wiseman, P., Yamamoto, M., collaboration, DES, Esteves, J. H., Pereira, M. E. S., Soares-Santos, M., Annis, J., Farahi, A., Andrade-Oliveira, F., Barchi, P., Palmese, A., Lin, H., Welch, B., Wu, H. -Y., Aguena, M., Bacon, O. Alves D., Bocquet, S., Brooks, D., Rosell, A. Carnero, Carretero, J., Costanzi, M., da Costa, L. N., De Vicente, J., Doel, P., Everett, S., Flaugher, B., Frieman, J., García-Bellido, J., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lidman, C., Lima, M., Marshall, J. L., Mena-Fernández, J., Miquel, R., Myles, J., Ogando, R. L. C., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Sanchez, E., Cid, D. Sanchez, Santiago, B., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Weaverdyck, N., Wiseman, P., Yamamoto, M., and collaboration, DES
Abstract: Cosmological analyses using galaxy clusters in optical/NIR photometric surveys require robust characterization of their galaxy content. Precisely determining which galaxies belong to a cluster is crucial. In this paper, we present the COlor Probabilistic Assignment of Clusters And BAyesiaN Analysis (Copacabana) algorithm. Copacabana computes membership probabilities for {\it all} galaxies within an aperture centred on the cluster using photometric redshifts, colours, and projected radial probability density functions. We use simulations to validate Copacabana and we show that it achieves up to 89\% membership accuracy with a mild dependency on photometric redshift uncertainties and choice of aperture size. We find that the precision of the photometric redshifts has the largest impact on the determination of the membership probabilities followed by the choice of the cluster aperture size. We also quantify how much these uncertainties in the membership probabilities affect the stellar mass--cluster mass scaling relation, a relation that directly impacts cosmology. Using the sum of the stellar masses weighted by membership probabilities ($\mu_{\star}$) as the observable, we find that Copacabana can reach an accuracy of 0.06 dex in the measurement of the scaling relation. These results indicate the potential of Copacabana and $\mu_{\star}$ to be used in cosmological analyses of optically selected clusters in the future., Comment: 14 pages, 10 figures, submitted to MNRAS
Published: 2024

5. The Dark Energy Survey: Cosmology Results With ~1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset

Author: DES Collaboration, Abbott, T. M. C., Acevedo, M., Aguena, M., Alarcon, A., Allam, S., Alves, O., Amon, A., Andrade-Oliveira, F., Annis, J., Armstrong, P., Asorey, J., Avila, S., Bacon, D., Bassett, B. A., Bechtol, K., Bernardinelli, P. H., Bernstein, G. M., Bertin, E., Blazek, J., Bocquet, S., Brooks, D., Brout, D., Buckley-Geer, E., Burke, D. L., Camacho, H., Camilleri, R., Campos, A., Rosell, A. Carnero, Carollo, D., Carr, A., Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Chen, R., Choi, A., Conselice, C., Costanzi, M., da Costa, L. N., Crocce, M., Davis, T. M., DePoy, D. L., Desai, S., Diehl, H. T., Dixon, M., Dodelson, S., Doel, P., Doux, C., Drlica-Wagner, A., Elvin-Poole, J., Everett, S., Ferrero, I., Ferté, A., Flaugher, B., Foley, R. J., Fosalba, P., Friedel, D., Frieman, J., Frohmaier, C., Galbany, L., García-Bellido, J., Gatti, M., Gaztanaga, E., Giannini, G., Glazebrook, K., Graur, O., Gruen, D., Gruendl, R. A., Gutierrez, G., Hartley, W. G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Jain, B., James, D. J., Jeffrey, N., Kelsey, L., Kent, S., Kessler, R., Kim, A. G., Kirshner, R. P., Kovacs, E., Kuehn, K., Lahav, O., Lee, J., Lee, S., Lewis, G. F., Li, T. S., Lidman, C., Lin, H., Marshall, J. L., Martini, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Mohr, J. J., Mould, J., Muir, J., Möller, A., Neilsen, E., Nichol, R. C., Nugent, P., Ogando, R. L. C., Palmese, A., Pan, Y. -C., Paterno, M., Percival, W. J., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Popovic, B., Porredon, A., Prat, J., Qu, H., Raveri, M., Rodríguez-Monroy, M., Romer, A. K., Roodman, A., Rose, B., Sako, M., Sanchez, E., Cid, D. Sanchez, Schubnell, M., Scolnic, D., Sevilla-Noarbe, I., Shah, P., Smith, J. Allyn., Smith, M., Soares-Santos, M., Suchyta, E., Sullivan, M., Suntzeff, N., Swanson, M. E. C., Sánchez, B. O., Tarle, G., Taylor, G., Thomas, D., To, C., Toy, M., Troxel, M. A., Tucker, B. E., Tucker, D. L., Uddin, S. A., Vincenzi, M., Walker, A. R., Weaverdyck, N., Wechsler, R. H., Weller, J., Wester, W., Wiseman, P., Yamamoto, M., Yuan, F., Zhang, B., Zhang, Y., DES Collaboration, Abbott, T. M. C., Acevedo, M., Aguena, M., Alarcon, A., Allam, S., Alves, O., Amon, A., Andrade-Oliveira, F., Annis, J., Armstrong, P., Asorey, J., Avila, S., Bacon, D., Bassett, B. A., Bechtol, K., Bernardinelli, P. H., Bernstein, G. M., Bertin, E., Blazek, J., Bocquet, S., Brooks, D., Brout, D., Buckley-Geer, E., Burke, D. L., Camacho, H., Camilleri, R., Campos, A., Rosell, A. Carnero, Carollo, D., Carr, A., Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Chen, R., Choi, A., Conselice, C., Costanzi, M., da Costa, L. N., Crocce, M., Davis, T. M., DePoy, D. L., Desai, S., Diehl, H. T., Dixon, M., Dodelson, S., Doel, P., Doux, C., Drlica-Wagner, A., Elvin-Poole, J., Everett, S., Ferrero, I., Ferté, A., Flaugher, B., Foley, R. J., Fosalba, P., Friedel, D., Frieman, J., Frohmaier, C., Galbany, L., García-Bellido, J., Gatti, M., Gaztanaga, E., Giannini, G., Glazebrook, K., Graur, O., Gruen, D., Gruendl, R. A., Gutierrez, G., Hartley, W. G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Jain, B., James, D. J., Jeffrey, N., Kelsey, L., Kent, S., Kessler, R., Kim, A. G., Kirshner, R. P., Kovacs, E., Kuehn, K., Lahav, O., Lee, J., Lee, S., Lewis, G. F., Li, T. S., Lidman, C., Lin, H., Marshall, J. L., Martini, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Mohr, J. J., Mould, J., Muir, J., Möller, A., Neilsen, E., Nichol, R. C., Nugent, P., Ogando, R. L. C., Palmese, A., Pan, Y. -C., Paterno, M., Percival, W. J., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Popovic, B., Porredon, A., Prat, J., Qu, H., Raveri, M., Rodríguez-Monroy, M., Romer, A. K., Roodman, A., Rose, B., Sako, M., Sanchez, E., Cid, D. Sanchez, Schubnell, M., Scolnic, D., Sevilla-Noarbe, I., Shah, P., Smith, J. Allyn., Smith, M., Soares-Santos, M., Suchyta, E., Sullivan, M., Suntzeff, N., Swanson, M. E. C., Sánchez, B. O., Tarle, G., Taylor, G., Thomas, D., To, C., Toy, M., Troxel, M. A., Tucker, B. E., Tucker, D. L., Uddin, S. A., Vincenzi, M., Walker, A. R., Weaverdyck, N., Wechsler, R. H., Weller, J., Wester, W., Wiseman, P., Yamamoto, M., Yuan, F., Zhang, B., and Zhang, Y.
Abstract: We present cosmological constraints from the sample of Type Ia supernovae (SN Ia) discovered during the full five years of the Dark Energy Survey (DES) Supernova Program. In contrast to most previous cosmological samples, in which SN are classified based on their spectra, we classify the DES SNe using a machine learning algorithm applied to their light curves in four photometric bands. Spectroscopic redshifts are acquired from a dedicated follow-up survey of the host galaxies. After accounting for the likelihood of each SN being a SN Ia, we find 1635 DES SN in the redshift range $0.100.5$ SNe compared to the previous leading compilation of Pantheon+, and results in the tightest cosmological constraints achieved by any SN data set to date. To derive cosmological constraints we combine the DES supernova data with a high-quality external low-redshift sample consisting of 194 SNe Ia spanning $0.025
Published: 2024

6. Training Custom Light Curve Models of SN Ia Sub-Populations Selected According to Host Galaxy Properties

Author: Taylor, G., Lidman, C., Popovic, B., Abbot, H., Taylor, G., Lidman, C., Popovic, B., and Abbot, H.
Abstract: Type Ia supernova (SN Ia) cosmology analyses include a luminosity step function in their distance standardization process to account for an observed yet unexplained difference in the post-standardization luminosities of SNe Ia originating from different host galaxy populations (e.g., high-mass ($M \gtrsim 10^{10} M_{\odot}$) versus low-mass galaxies). We present a novel method for including host-mass correlations in the SALT3 light curve model used for standardising SN Ia distances. We split the SALT3 training sample according to host-mass, training independent models for the low- and high-host-mass samples. Our models indicate that there are different average Si II spectral feature strengths between the two populations, and that the average SED of SNe from low-mass galaxies is bluer than the high-mass counterpart. We then use our trained models to perform a SN cosmology analysis on the 3-year spectroscopically confirmed Dark Energy Survey SN sample, treating SNe from low- and high-mass host galaxies as separate populations throughout. We find that our mass-split models reduce the Hubble residual scatter in the sample, albeit at a low statistical significance. We do find a reduction in the mass-correlated luminosity step but conclude that this arises from the model-dependent re-definition of the fiducial SN absolute magnitude rather than the models themselves. Our results stress the importance of adopting a standard definition of the SN parameters ($x_0, x_1, c$) in order to extract the most value out of the light curve modelling tools that are currently available and to correctly interpret results that are fit with different models., Comment: 15 pages, accepted by MNRAS
Published: 2024

7. The Dark Energy Survey Supernova Program: Cosmological Analysis and Systematic Uncertainties

Author: Vincenzi, M., Brout, D., Armstrong, P., Popovic, B., Taylor, G., Acevedo, M., Camilleri, R., Chen, R., Davis, T. M., Hinton, S. R., Kelsey, L., Kessler, R., Lee, J., Lidman, C., Möller, A., Qu, H., Sako, M., Sanchez, B., Scolnic, D., Smith, M., Sullivan, M., Wiseman, P., Asorey, J., Bassett, B. A., Carollo, D., Carr, A., Foley, R. J., Frohmaier, C., Galbany, L., Glazebrook, K., Graur, O., Kovacs, E., Kuehn, K., Malik, U., Nichol, R. C., Rose, B., Tucker, B. E., Toy, M., Tucker, D. L., Yuan, F., Abbott, T. M. C., Aguena, M., Alves, O., Andrade-Oliveira, F., Annis, J., Bacon, D., Bechtol, K., Bernstein, G. M., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., Castander, F. J., Conselice, C., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Doel, P., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gatti, M., Giannini, G., Gruen, D., Gruendl, R. A., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kuropatkin, N., Lahav, O., Lee, S., Lin, H., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Romer, A. K., Roodman, A., Sanchez, E., Cid, D. Sanchez, Schubnell, M., Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Walker, A. R., Weaverdyck, N., Vincenzi, M., Brout, D., Armstrong, P., Popovic, B., Taylor, G., Acevedo, M., Camilleri, R., Chen, R., Davis, T. M., Hinton, S. R., Kelsey, L., Kessler, R., Lee, J., Lidman, C., Möller, A., Qu, H., Sako, M., Sanchez, B., Scolnic, D., Smith, M., Sullivan, M., Wiseman, P., Asorey, J., Bassett, B. A., Carollo, D., Carr, A., Foley, R. J., Frohmaier, C., Galbany, L., Glazebrook, K., Graur, O., Kovacs, E., Kuehn, K., Malik, U., Nichol, R. C., Rose, B., Tucker, B. E., Toy, M., Tucker, D. L., Yuan, F., Abbott, T. M. C., Aguena, M., Alves, O., Andrade-Oliveira, F., Annis, J., Bacon, D., Bechtol, K., Bernstein, G. M., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., Castander, F. J., Conselice, C., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Doel, P., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gatti, M., Giannini, G., Gruen, D., Gruendl, R. A., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kuropatkin, N., Lahav, O., Lee, S., Lin, H., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Romer, A. K., Roodman, A., Sanchez, E., Cid, D. Sanchez, Schubnell, M., Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Walker, A. R., and Weaverdyck, N.
Abstract: We present the full Hubble diagram of photometrically-classified Type Ia supernovae (SNe Ia) from the Dark Energy Survey supernova program (DES-SN). DES-SN discovered more than 20,000 SN candidates and obtained spectroscopic redshifts of 7,000 host galaxies. Based on the light-curve quality, we select 1635 photometrically-identified SNe Ia with spectroscopic redshift 0.10$< z <$1.13, which is the largest sample of supernovae from any single survey and increases the number of known $z>0.5$ supernovae by a factor of five. In a companion paper, we present cosmological results of the DES-SN sample combined with 194 spectroscopically-classified SNe Ia at low redshift as an anchor for cosmological fits. Here we present extensive modeling of this combined sample and validate the entire analysis pipeline used to derive distances. We show that the statistical and systematic uncertainties on cosmological parameters are $\sigma_{\Omega_M,{\rm stat+sys}}^{\Lambda{\rm CDM}}=$0.017 in a flat $\Lambda$CDM model, and $(\sigma_{\Omega_M},\sigma_w)_{\rm stat+sys}^{w{\rm CDM}}=$(0.082, 0.152) in a flat $w$CDM model. Combining the DES SN data with the highly complementary CMB measurements by Planck Collaboration (2020) reduces uncertainties on cosmological parameters by a factor of 4. In all cases, statistical uncertainties dominate over systematics. We show that uncertainties due to photometric classification make up less than 10% of the total systematic uncertainty budget. This result sets the stage for the next generation of SN cosmology surveys such as the Vera C. Rubin Observatory's Legacy Survey of Space and Time., Comment: 39 pages, 19 figures; Submitted to ApJ; companion paper Dark Energy Collaboration et al. on consecutive arxiv number 2401.02929
Published: 2024

8. Optical Spectroscopy of Type Ia Supernovae by the Carnegie Supernova Projects I and II

Author: Morrell, N., Phillips, M. M., Folatelli, G., Stritzinger, M. D., Hamuy, M., Suntzeff, N. B., Hsiao, E. Y., Taddia, F., Burns, C. R., Hoeflich, P., Ashall, C., Contreras, C., Galbany, L., Lu, J., Piro, A. L., Anais, J., Baron, E., Burrow, A., Busta, L., Campillay, A., Castellón, S., Corco, C., Diamond, T., Freedman, W. L., Gonzalez, C., Krisciunas, K., Kumar, S., Persson, S. E., Serón, J., Shahbandeh, M., Torres, S., Uddin, S. A., Anderson, J. P., Baltay, C., Gall, C., Goobar, A., Hadjiyska, E., Holmbo, S., Kasliwal, M., Lidman, C., Marion, G. H., Mazzali, P. A., Nugent, P., Perlmutter, S., Pignata, G., Rabinowitz, D., Roth, M., Ryder, S. D., Shappee, B. J., Vinkó, J., Wheeler, J. C., De Jaeger, T., Lira, P., Ruiz, M. T., Rich, J. A., Prieto, J. L., Di Mille, F., Osip, D., Blanc, G., Palunas, P., Morrell, N., Phillips, M. M., Folatelli, G., Stritzinger, M. D., Hamuy, M., Suntzeff, N. B., Hsiao, E. Y., Taddia, F., Burns, C. R., Hoeflich, P., Ashall, C., Contreras, C., Galbany, L., Lu, J., Piro, A. L., Anais, J., Baron, E., Burrow, A., Busta, L., Campillay, A., Castellón, S., Corco, C., Diamond, T., Freedman, W. L., Gonzalez, C., Krisciunas, K., Kumar, S., Persson, S. E., Serón, J., Shahbandeh, M., Torres, S., Uddin, S. A., Anderson, J. P., Baltay, C., Gall, C., Goobar, A., Hadjiyska, E., Holmbo, S., Kasliwal, M., Lidman, C., Marion, G. H., Mazzali, P. A., Nugent, P., Perlmutter, S., Pignata, G., Rabinowitz, D., Roth, M., Ryder, S. D., Shappee, B. J., Vinkó, J., Wheeler, J. C., De Jaeger, T., Lira, P., Ruiz, M. T., Rich, J. A., Prieto, J. L., Di Mille, F., Osip, D., Blanc, G., and Palunas, P.
Published: 2024

9. Optical Spectroscopy of Type Ia Supernovae by the Carnegie Supernova Projects I and II

Author: Morrell, N., Phillips, M. M., Folatelli, G., Stritzinger, M. D., Hamuy, M., Suntzeff, N. B., Hsiao, E. Y., Taddia, F., Burns, C. R., Hoeflich, P., Ashall, C., Contreras, C., Galbany, L., Lu, J., Piro, A. L., Anais, J., Baron, E., Burrow, A., Busta, L., Campillay, A., Castellón, S., Corco, C., Diamond, T., Freedman, W. L., Gonzalez, C., Krisciunas, K., Kumar, S., Persson, S. E., Serón, J., Shahbandeh, M., Torres, S., Uddin, S. A., Anderson, J. P., Baltay, C., Gall, C., Goobar, A., Hadjiyska, E., Holmbo, S., Kasliwal, M., Lidman, C., Marion, G. H., Mazzali, P. A., Nugent, P., Perlmutter, S., Pignata, G., Rabinowitz, D., Roth, M., Ryder, S. D., Shappee, B. J., Vinkó, J., Wheeler, J. C., De Jaeger, T., Lira, P., Ruiz, M. T., Rich, J. A., Prieto, J. L., Di Mille, F., Osip, D., Blanc, G., Palunas, P., Morrell, N., Phillips, M. M., Folatelli, G., Stritzinger, M. D., Hamuy, M., Suntzeff, N. B., Hsiao, E. Y., Taddia, F., Burns, C. R., Hoeflich, P., Ashall, C., Contreras, C., Galbany, L., Lu, J., Piro, A. L., Anais, J., Baron, E., Burrow, A., Busta, L., Campillay, A., Castellón, S., Corco, C., Diamond, T., Freedman, W. L., Gonzalez, C., Krisciunas, K., Kumar, S., Persson, S. E., Serón, J., Shahbandeh, M., Torres, S., Uddin, S. A., Anderson, J. P., Baltay, C., Gall, C., Goobar, A., Hadjiyska, E., Holmbo, S., Kasliwal, M., Lidman, C., Marion, G. H., Mazzali, P. A., Nugent, P., Perlmutter, S., Pignata, G., Rabinowitz, D., Roth, M., Ryder, S. D., Shappee, B. J., Vinkó, J., Wheeler, J. C., De Jaeger, T., Lira, P., Ruiz, M. T., Rich, J. A., Prieto, J. L., Di Mille, F., Osip, D., Blanc, G., and Palunas, P.
Published: 2024

10. Measurement of the mean central optical depth of galaxy clusters via the pairwise kinematic Sunyaev-Zel'dovich effect with SPT-3G and DES

Author: Schiappucci, E, Bianchini, F, Aguena, M, Archipley, M, Balkenhol, L, Bleem, LE, Chaubal, P, Crawford, TM, Grandis, S, Omori, Y, Reichardt, CL, Rozo, E, Rykoff, ES, To, C, Abbott, TMC, Ade, PAR, Alves, O, Anderson, AJ, Andrade-Oliveira, F, Annis, J, Avva, JS, Bacon, D, Benabed, K, Bender, AN, Benson, BA, Bernstein, GM, Bertin, E, Bocquet, S, Bouchet, FR, Brooks, D, Burke, DL, Carlstrom, JE, Rosell, AC, Kind, MC, Carretero, J, Cecil, TW, Chang, CL, Chichura, PM, Chou, T-L, Costanzi, M, Cukierman, A, da Costa, LN, Daley, C, de Haan, T, Desai, S, Dibert, KR, Diehl, HT, Dobbs, MA, Doel, P, Doux, C, Dutcher, D, Everett, S, Everett, W, Feng, C, Ferguson, KR, Ferrero, I, Ferte, A, Flaugher, B, Foster, A, Frieman, J, Galli, S, Gambrel, AE, Garcia-Bellido, J, Gardner, RW, Gatti, M, Giannantonio, T, Goeckner-Wald, N, Gruen, D, Gualtieri, R, Guns, S, Gutierrez, G, Halverson, NW, Hinton, SR, Hivon, E, Holder, GP, Hollowood, DL, Holzapfel, WL, Honscheid, K, Hood, JC, Huang, N, James, DJ, Knox, L, Korman, M, Kuehn, K, Kuo, C-L, Lahav, O, Lee, AT, Lidman, C, Lima, M, Lowitz, AE, Lu, C, March, M, Mena-Fernandez, J, Menanteau, F, Millea, M, Miquel, R, Mohr, JJ, Montgomery, J, Muir, J, Natoli, T, Noble, GI, Novosad, V, Ogando, RLC, Padin, S, Pan, Z, Paz-Chinchon, F, Pereira, MES, Pieres, A, Malagon, AAP, Prabhu, K, Prat, J, Quan, W, Rahlin, A, Raveri, M, Rodriguez-Monroy, M, Romer, AK, Rouble, M, Ruhl, JE, Sanchez, E, Scarpine, V, Schubnell, M, Smecher, G, Smith, M, Soares-Santos, M, Sobrin, JA, Suchyta, E, Suzuki, A, Tarle, G, Thomas, D, Thompson, KL, Thorne, B, Tucker, C, Umilta, C, Vieira, JD, Vincenzi, M, Wang, G, Weaverdyck, N, Weller, J, Whitehorn, N, Wu, WLK, Yefremenko, V, Young, MR, Schiappucci, E, Bianchini, F, Aguena, M, Archipley, M, Balkenhol, L, Bleem, LE, Chaubal, P, Crawford, TM, Grandis, S, Omori, Y, Reichardt, CL, Rozo, E, Rykoff, ES, To, C, Abbott, TMC, Ade, PAR, Alves, O, Anderson, AJ, Andrade-Oliveira, F, Annis, J, Avva, JS, Bacon, D, Benabed, K, Bender, AN, Benson, BA, Bernstein, GM, Bertin, E, Bocquet, S, Bouchet, FR, Brooks, D, Burke, DL, Carlstrom, JE, Rosell, AC, Kind, MC, Carretero, J, Cecil, TW, Chang, CL, Chichura, PM, Chou, T-L, Costanzi, M, Cukierman, A, da Costa, LN, Daley, C, de Haan, T, Desai, S, Dibert, KR, Diehl, HT, Dobbs, MA, Doel, P, Doux, C, Dutcher, D, Everett, S, Everett, W, Feng, C, Ferguson, KR, Ferrero, I, Ferte, A, Flaugher, B, Foster, A, Frieman, J, Galli, S, Gambrel, AE, Garcia-Bellido, J, Gardner, RW, Gatti, M, Giannantonio, T, Goeckner-Wald, N, Gruen, D, Gualtieri, R, Guns, S, Gutierrez, G, Halverson, NW, Hinton, SR, Hivon, E, Holder, GP, Hollowood, DL, Holzapfel, WL, Honscheid, K, Hood, JC, Huang, N, James, DJ, Knox, L, Korman, M, Kuehn, K, Kuo, C-L, Lahav, O, Lee, AT, Lidman, C, Lima, M, Lowitz, AE, Lu, C, March, M, Mena-Fernandez, J, Menanteau, F, Millea, M, Miquel, R, Mohr, JJ, Montgomery, J, Muir, J, Natoli, T, Noble, GI, Novosad, V, Ogando, RLC, Padin, S, Pan, Z, Paz-Chinchon, F, Pereira, MES, Pieres, A, Malagon, AAP, Prabhu, K, Prat, J, Quan, W, Rahlin, A, Raveri, M, Rodriguez-Monroy, M, Romer, AK, Rouble, M, Ruhl, JE, Sanchez, E, Scarpine, V, Schubnell, M, Smecher, G, Smith, M, Soares-Santos, M, Sobrin, JA, Suchyta, E, Suzuki, A, Tarle, G, Thomas, D, Thompson, KL, Thorne, B, Tucker, C, Umilta, C, Vieira, JD, Vincenzi, M, Wang, G, Weaverdyck, N, Weller, J, Whitehorn, N, Wu, WLK, Yefremenko, V, and Young, MR
Published: 2023

11. Joint analysis of Dark Energy Survey Year 3 data and CMB lensing from SPT and Planck. III. Combined cosmological constraints

Author: Abbott, TMC, Aguena, M, Alarcon, A, Alves, O, Amon, A, Andrade-Oliveira, F, Annis, J, Ansarinejad, B, Avila, S, Bacon, D, Baxter, EJ, Bechtol, K, Becker, MR, Benson, BA, Bernstein, GM, Bertin, E, Blazek, J, Bleem, LE, Bocquet, S, Brooks, D, Buckley-Geer, E, Burke, DL, Camacho, H, Campos, A, Carlstrom, JE, Rosell, AC, Kind, MC, Carretero, J, Cawthon, R, Chang, C, Chang, CL, Chen, R, Choi, A, Chown, R, Conselice, C, Cordero, J, Costanzi, M, Crawford, T, Crites, AT, Crocce, M, da Costa, LN, Davis, C, Davis, TM, de Haan, T, De Vicente, J, DeRose, J, Desai, S, Diehl, HT, Dobbs, MA, Dodelson, S, Doel, P, Doux, C, Drlica-Wagner, A, Eckert, K, Eifler, TF, Elsner, F, Elvin-Poole, J, Everett, S, Everett, W, Fang, X, Ferrero, I, Ferte, A, Flaugher, B, Fosalba, P, Friedrich, O, Frieman, J, Garcia-Bellido, J, Gatti, M, George, EM, Giannantonio, T, Giannini, G, Gruen, D, Gruendl, RA, Gschwend, J, Gutierrez, G, Halverson, NW, Harrison, I, Herner, K, Hinton, SR, Holder, GP, Hollowood, DL, Holzapfel, WL, Honscheid, K, Hrubes, JD, Huang, H, Huff, EM, Huterer, D, Jain, B, James, DJ, Jarvis, M, Jeltema, T, Kent, S, Knox, L, Kovacs, A, Krause, E, Kuehn, K, Kuropatkin, N, Lahav, O, Lee, AT, Leget, P-F, Lemos, P, Liddle, AR, Lidman, C, Luong-Van, D, McMahonn, JJ, MacCrann, N, March, M, Marshall, JL, Martini, P, McCullough, J, Melchior, P, Menanteau, F, Meyer, SS, Miquel, R, Mocanu, L, Mohr, JJ, Morgan, R, Muir, J, Myles, J, Natoli, T, Navarro-Alsina, A, Nichol, RC, Omori, Y, Padin, S, Pandey, S, Park, Y, Paz-Chinchon, F, Pereira, MES, Pieres, A, Malagon, AAP, Porredon, A, Prat, J, Pryke, C, Raveri, M, Reichardt, CL, Rollins, RP, Romer, AK, Roodman, A, Rosenfeld, R, Ross, AJ, Ruhl, JE, Rykoff, ES, Sanchez, C, Sanchez, E, Sanchez, J, Schaffer, KK, Secco, LF, Sevilla-Noarbe, I, Sheldon, E, Shin, T, Shirokoff, E, Smith, M, Staniszewski, Z, Stark, AA, Suchyta, E, Swanson, MEC, Tarle, G, To, C, Troxel, MA, Tutusaus, I, Varga, TN, Vieira, JD, Weaverdyck, N, Wechsler, RH, Weller, J, Williamson, R, Wu, WLK, Yanny, B, Yin, B, Zhang, Y, Zuntz, J, Abbott, TMC, Aguena, M, Alarcon, A, Alves, O, Amon, A, Andrade-Oliveira, F, Annis, J, Ansarinejad, B, Avila, S, Bacon, D, Baxter, EJ, Bechtol, K, Becker, MR, Benson, BA, Bernstein, GM, Bertin, E, Blazek, J, Bleem, LE, Bocquet, S, Brooks, D, Buckley-Geer, E, Burke, DL, Camacho, H, Campos, A, Carlstrom, JE, Rosell, AC, Kind, MC, Carretero, J, Cawthon, R, Chang, C, Chang, CL, Chen, R, Choi, A, Chown, R, Conselice, C, Cordero, J, Costanzi, M, Crawford, T, Crites, AT, Crocce, M, da Costa, LN, Davis, C, Davis, TM, de Haan, T, De Vicente, J, DeRose, J, Desai, S, Diehl, HT, Dobbs, MA, Dodelson, S, Doel, P, Doux, C, Drlica-Wagner, A, Eckert, K, Eifler, TF, Elsner, F, Elvin-Poole, J, Everett, S, Everett, W, Fang, X, Ferrero, I, Ferte, A, Flaugher, B, Fosalba, P, Friedrich, O, Frieman, J, Garcia-Bellido, J, Gatti, M, George, EM, Giannantonio, T, Giannini, G, Gruen, D, Gruendl, RA, Gschwend, J, Gutierrez, G, Halverson, NW, Harrison, I, Herner, K, Hinton, SR, Holder, GP, Hollowood, DL, Holzapfel, WL, Honscheid, K, Hrubes, JD, Huang, H, Huff, EM, Huterer, D, Jain, B, James, DJ, Jarvis, M, Jeltema, T, Kent, S, Knox, L, Kovacs, A, Krause, E, Kuehn, K, Kuropatkin, N, Lahav, O, Lee, AT, Leget, P-F, Lemos, P, Liddle, AR, Lidman, C, Luong-Van, D, McMahonn, JJ, MacCrann, N, March, M, Marshall, JL, Martini, P, McCullough, J, Melchior, P, Menanteau, F, Meyer, SS, Miquel, R, Mocanu, L, Mohr, JJ, Morgan, R, Muir, J, Myles, J, Natoli, T, Navarro-Alsina, A, Nichol, RC, Omori, Y, Padin, S, Pandey, S, Park, Y, Paz-Chinchon, F, Pereira, MES, Pieres, A, Malagon, AAP, Porredon, A, Prat, J, Pryke, C, Raveri, M, Reichardt, CL, Rollins, RP, Romer, AK, Roodman, A, Rosenfeld, R, Ross, AJ, Ruhl, JE, Rykoff, ES, Sanchez, C, Sanchez, E, Sanchez, J, Schaffer, KK, Secco, LF, Sevilla-Noarbe, I, Sheldon, E, Shin, T, Shirokoff, E, Smith, M, Staniszewski, Z, Stark, AA, Suchyta, E, Swanson, MEC, Tarle, G, To, C, Troxel, MA, Tutusaus, I, Varga, TN, Vieira, JD, Weaverdyck, N, Wechsler, RH, Weller, J, Williamson, R, Wu, WLK, Yanny, B, Yin, B, Zhang, Y, and Zuntz, J
Published: 2023

12. The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae

Author: Qu, H., Sako, M., Vincenzi, M., Sanchez, C., Brout, D., Kessler, R., Chen, R., Davis, T., Galbany, L., Kelsey, L., Lee, J., Lidman, C., Popovic, B., Rose, B., Scolnic, D., Smith, M., Sullivan, M., Wiseman, P., Abbott, T. M. C., Aguena, M., Alves, O., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., da Costa, L. N., Pereira, M. E. S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Frieman, J., Garcia-Bellido, J., Giannini, G., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Marshall, J. L., Mena-Fernandez, J., Menanteau, F., Miquel, R., Ogando, R. L. C., Palmese, A., Pieres, A., Malagon, A. A. Plazas, Raveri, M., Sanchez, E., Sevilla-Noarbe, I., Soares-Santos, M., Suchyta, E., Tarle, G., Weaverdyck, N., Collaboration, DES, Qu, H., Sako, M., Vincenzi, M., Sanchez, C., Brout, D., Kessler, R., Chen, R., Davis, T., Galbany, L., Kelsey, L., Lee, J., Lidman, C., Popovic, B., Rose, B., Scolnic, D., Smith, M., Sullivan, M., Wiseman, P., Abbott, T. M. C., Aguena, M., Alves, O., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., da Costa, L. N., Pereira, M. E. S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Frieman, J., Garcia-Bellido, J., Giannini, G., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Marshall, J. L., Mena-Fernandez, J., Menanteau, F., Miquel, R., Ogando, R. L. C., Palmese, A., Pieres, A., Malagon, A. A. Plazas, Raveri, M., Sanchez, E., Sevilla-Noarbe, I., Soares-Santos, M., Suchyta, E., Tarle, G., Weaverdyck, N., and Collaboration, DES
Abstract: Redshift measurements, primarily obtained from host galaxies, are essential for inferring cosmological parameters from type Ia supernovae (SNe Ia). Matching SNe to host galaxies using images is non-trivial, resulting in a subset of SNe with mismatched hosts and thus incorrect redshifts. We evaluate the host galaxy mismatch rate and resulting biases on cosmological parameters from simulations modeled after the Dark Energy Survey 5-Year (DES-SN5YR) photometric sample. For both DES-SN5YR data and simulations, we employ the directional light radius method for host galaxy matching. In our SN Ia simulations, we find that 1.7% of SNe are matched to the wrong host galaxy, with redshift difference between the true and matched host of up to 0.6. Using our analysis pipeline, we determine the shift in the dark energy equation of state parameter (Dw) due to including SNe with incorrect host galaxy matches. For SN Ia-only simulations, we find Dw = 0.0013 +/- 0.0026 with constraints from the cosmic microwave background (CMB). Including core-collapse SNe and peculiar SNe Ia in the simulation, we find that Dw ranges from 0.0009 to 0.0032 depending on the photometric classifier used. This bias is an order of magnitude smaller than the expected total uncertainty on w from the DES-SN5YR sample of around 0.03. We conclude that the bias on w from host galaxy mismatch is much smaller than the uncertainties expected from the DES-SN5YR sample, but we encourage further studies to reduce this bias through better host-matching algorithms or selection cuts., Comment: Accepted by ApJ
Published: 2023

13. Probing the Consistency of Cosmological Contours for Supernova Cosmology

Author: Armstrong, P., Qu, H., Brout, D., Davis, T. M., Kessler, R., Kim, A. G., Lidman, C., Sako, M., Tucker, B. E., Armstrong, P., Qu, H., Brout, D., Davis, T. M., Kessler, R., Kim, A. G., Lidman, C., Sako, M., and Tucker, B. E.
Abstract: As the scale of cosmological surveys increases, so does the complexity in the analyses. This complexity can often make it difficult to derive the underlying principles, necessitating statistically rigorous testing to ensure the results of an analysis are consistent and reasonable. This is particularly important in multi-probe cosmological analyses like those used in the Dark Energy Survey and the upcoming Legacy Survey of Space and Time, where accurate uncertainties are vital. In this paper, we present a statistically rigorous method to test the consistency of contours produced in these analyses, and apply this method to the Pippin cosmological pipeline used for Type Ia supernova cosmology with the Dark Energy Survey. We make use of the Neyman construction, a frequentist methodology that leverages extensive simulations to calculate confidence intervals, to perform this consistency check. A true Neyman construction is too computationally expensive for supernova cosmology, so we develop a method for approximating a Neyman construction with far fewer simulations. We find that for a simulated data-set, the 68% contour reported by the Pippin pipeline and the 68% confidence region produced by our approximate Neyman construction differ by less than a percent near the input cosmology, however show more significant differences far from the input cosmology, with a maximal difference of 0.05 in $\Omega_{M}$, and 0.07 in $w$. This divergence is most impactful for analyses of cosmological tensions, but its impact is mitigated when combining supernovae with other cross-cutting cosmological probes, such as the Cosmic Microwave Background., Comment: 9 pages, 11 figures, 4 tables. For source code see https://github.com/dessn/BiasValidation
Published: 2023
Full Text: View/download PDF

14. A Geometric Calibration of the Tip of the Red Giant Branch in the Milky Way using Gaia DR3

Author: Dixon, M., Mould, J., Flynn, C., Taylor, E. N., Lidman, C., Duffy, A. R., Dixon, M., Mould, J., Flynn, C., Taylor, E. N., Lidman, C., and Duffy, A. R.
Abstract: We use the latest parallaxes measurements from Gaia DR3 to obtain a geometric calibration of the tip of the red giant branch (TRGB) in Cousins $I$ magnitudes as a standard candle for cosmology. We utilise the following surveys: SkyMapper DR3, APASS DR9, ATLAS Refcat2, and Gaia DR3 synthetic photometry to obtain multiple zero-point calibrations of the TRGB magnitude, $M_{I}^{TRGB}$. Our sample contains Milky Way halo stars at high galactic latitudes ($|b| > 36$) where the impact of metallicity, dust, and crowding are minimised. The magnitude of the TRGB is identified using Sobel edge detection, but this approach introduced a systematic offset. To address this issue, we utilised simulations with PARSEC isochrones and showed how to calibrate and remove this bias. Applying our method within the colour range where the slope of the TRGB is relatively flat for metal-poor halo stars (1.55 $<$ $(BP-RP)$ $<$ 2.25), we find a weighted average $M_{I}^{TRGB} = -4.042 \pm 0.041$ (stat) $\pm0.031$ (sys) mag. A geometric calibration of the Milky Way TRGB has the benefit of being independent of other distance indicators and will help probe systematics in the local distance ladder, leading to improved measurements of the Hubble constant., Comment: 14 pages, 13 figures. Accepted for publication in MNRAS
Published: 2023
Full Text: View/download PDF

15. Rates and properties of type Ia supernovae in galaxy clusters within the Dark Energy Survey

Author: Toy, M., Wiseman, P., Sullivan, M., Frohmaier, C., Graur, O., Palmese, A., Popovic, B., Davis, T. M., Galbany, L., Kelsey, L., Lidman, C., Scolnic, D., Allam, S., Desai, S., Abbott, T. M. C., Aguena, M., Alves, O., Annis, J., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Conselice, C., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Frieman, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Marshall, J. L., Melchior, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., To, C., Weaverdyck, N., Toy, M., Wiseman, P., Sullivan, M., Frohmaier, C., Graur, O., Palmese, A., Popovic, B., Davis, T. M., Galbany, L., Kelsey, L., Lidman, C., Scolnic, D., Allam, S., Desai, S., Abbott, T. M. C., Aguena, M., Alves, O., Annis, J., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Conselice, C., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Frieman, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Marshall, J. L., Melchior, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., To, C., and Weaverdyck, N.
Abstract: We identify 66 photometrically classified type Ia supernovae (SNe Ia) from the Dark Energy Survey (DES) that have occurred within red-sequence selected galaxy clusters. We compare light-curve and host galaxy properties of the cluster SNe to 1024 DES SNe Ia located in field galaxies, the largest comparison of two such samples at high redshift (z > 0.1). We find that cluster SN light curves decline faster than those in the field (97.7 per cent confidence). However, when limiting these samples to host galaxies of similar colour and mass, there is no significant difference in the SN light curve properties. Motivated by previous detections of a higher-normalised SN Ia delay time distribution in galaxy clusters, we measure the intrinsic rate of SNe Ia in cluster and field environments. We find the average ratio of the SN Ia rate per galaxy between high mass ($10\leq\log\mathrm{(M_{*}/M_{\odot})} \leq 11.25$) cluster and field galaxies to be $0.594 \pm0.068$. This difference is mass-dependent, with the ratio declining with increasing mass, which suggests that the stellar populations in cluster hosts are older than those in field hosts. We show that the mass-normalised rate (or SNe per unit mass) in massive-passive galaxies is consistent between cluster and field environments. Additionally, both of these rates are consistent with rates previously measured in clusters at similar redshifts. We conclude that in massive-passive galaxies, which are the dominant hosts of cluster SNe, the cluster DTD is comparable to the field.
Published: 2023

16. Dark Energy Survey Deep Field photometric redshift performance and training incompleteness assessment

Author: Cipriano, L. Toribio San, De Vicente, J., Sevilla-Noarbe, I., Hartley, W. G., Myles, J., Amon, A., Bernstein, G. M., Choi, A., Eckert, K., Gruendl, R. A., Harrison, I., Sheldon, E., Yanny, B., Aguena, M., Allam, S. S., Alves, O., Bacon, D., Brooks, D., Campos, A., Rosell, A. Carnero, Carretero, J., Castander, F. J., Conselice, C., da Costa, L. N., Pereira, M. E. S., Davis, T. M., Desai, S., Diehl, H. T., Doel, P., Ferrero, I., Frieman, J., García-Bellido, J., Gaztañaga, E., Giannini, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lee, S., Lidman, C., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Roodman, A., Sanchez, E., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Vincenzi, M., Weaverdyck, N., Wiseman, P., Cipriano, L. Toribio San, De Vicente, J., Sevilla-Noarbe, I., Hartley, W. G., Myles, J., Amon, A., Bernstein, G. M., Choi, A., Eckert, K., Gruendl, R. A., Harrison, I., Sheldon, E., Yanny, B., Aguena, M., Allam, S. S., Alves, O., Bacon, D., Brooks, D., Campos, A., Rosell, A. Carnero, Carretero, J., Castander, F. J., Conselice, C., da Costa, L. N., Pereira, M. E. S., Davis, T. M., Desai, S., Diehl, H. T., Doel, P., Ferrero, I., Frieman, J., García-Bellido, J., Gaztañaga, E., Giannini, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lee, S., Lidman, C., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Roodman, A., Sanchez, E., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Vincenzi, M., Weaverdyck, N., and Wiseman, P.
Abstract: Context. The determination of accurate photometric redshifts (photo-zs) in large imaging galaxy surveys is key for cosmological studies. One of the most common approaches are machine learning techniques. These methods require a spectroscopic or reference sample to train the algorithms. Attention has to be paid to the quality and properties of these samples since they are key factors in the estimation of reliable photo-zs. Aims. The goal of this work is to calculate the photo-zs for the Y3 DES Deep Fields catalogue using the DNF machine learning algorithm. Moreover, we want to develop techniques to assess the incompleteness of the training sample and metrics to study how incompleteness affects the quality of photometric redshifts. Finally, we are interested in comparing the performance obtained with respect to the EAzY template fitting approach on Y3 DES Deep Fields catalogue. Methods. We have emulated -- at brighter magnitude -- the training incompleteness with a spectroscopic sample whose redshifts are known to have a measurable view of the problem. We have used a principal component analysis to graphically assess incompleteness and to relate it with the performance parameters provided by DNF. Finally, we have applied the results about the incompleteness to the photo-z computation on Y3 DES Deep Fields with DNF and estimated its performance. Results. The photo-zs for the galaxies on DES Deep Fields have been computed with the DNF algorithm and added to the Y3 DES Deep Fields catalogue. They are available at https://des.ncsa.illinois.edu/releases/y3a2/Y3deepfields. Some techniques have been developed to evaluate the performance in the absence of "true" redshift and to assess completeness. We have studied... (Partial abstract), Comment: 14 pages, 17 figures
Published: 2023

17. DeepZipper II: Searching for Lensed Supernovae in Dark Energy Survey Data with Deep Learning

Author: Morgan, Robert, Nord, B., Bechtol, K., Möller, A., Hartley, W. G., Birrer, S., González, S. J., Martinez, M., Gruendl, R. A., Buckley-Geer, E. J., Shajib, A. J., Rosell, A. Carnero, Lidman, C., Collett, T., Abbott, T. M. C., Aguena, M., Andrade-Oliveira, F., Annis, J., Bacon, D., Bocquet, S., Brooks, D., Burke, D. L., Kind, M. Carrasco, Carretero, J., Castander, F. J., Conselice, C., da Costa, L. N., Costanzi, M., De Vicente, J., Desai, S., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruen, D., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., Menanteau, F., Miquel, R., Palmese, A., Paz-Chinchón, F., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Prat, J., Rodriguez-Monroy, M., Romer, A. K., Roodman, A., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Varga, T. N., Morgan, Robert, Nord, B., Bechtol, K., Möller, A., Hartley, W. G., Birrer, S., González, S. J., Martinez, M., Gruendl, R. A., Buckley-Geer, E. J., Shajib, A. J., Rosell, A. Carnero, Lidman, C., Collett, T., Abbott, T. M. C., Aguena, M., Andrade-Oliveira, F., Annis, J., Bacon, D., Bocquet, S., Brooks, D., Burke, D. L., Kind, M. Carrasco, Carretero, J., Castander, F. J., Conselice, C., da Costa, L. N., Costanzi, M., De Vicente, J., Desai, S., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruen, D., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., Menanteau, F., Miquel, R., Palmese, A., Paz-Chinchón, F., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Prat, J., Rodriguez-Monroy, M., Romer, A. K., Roodman, A., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., and Varga, T. N.
Abstract: Gravitationally lensed supernovae (LSNe) are important probes of cosmic expansion, but they remain rare and difficult to find. Current cosmic surveys likely contain and 5-10 LSNe in total while next-generation experiments are expected to contain several hundreds to a few thousands of these systems. We search for these systems in observed Dark Energy Survey (DES) 5-year SN fields -- 10 3-sq. deg. regions of sky imaged in the $griz$ bands approximately every six nights over five years. To perform the search, we utilize the DeepZipper approach: a multi-branch deep learning architecture trained on image-level simulations of LSNe that simultaneously learns spatial and temporal relationships from time series of images. We find that our method obtains a LSN recall of 61.13% and a false positive rate of 0.02% on the DES SN field data. DeepZipper selected 2,245 candidates from a magnitude-limited ($m_i$ $<$ 22.5) catalog of 3,459,186 systems. We employ human visual inspection to review systems selected by the network and find three candidate LSNe in the DES SN fields., Comment: Submitted to ApJ
Published: 2022

18. The DECam Local Volume Exploration Survey Data Release 2

Author: Drlica-Wagner, A., Ferguson, P. S., Adamów, M., Aguena, M., Andrade-Oliveira, F., Bacon, D., Bechtol, K., Bell, E. F., Bertin, E., Bilaji, P., Bocquet, S., Bom, C. R., Brooks, D., Burke, D. L., Carballo-Bello, J. A., Carlin, J. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cerny, W., Chang, C., Choi, Y., Conselice, C., Costanzi, M., Crnojević, D., da Costa, L. N., De Vicente, J., Desai, S., Esteves, J., Everett, S., Ferrero, I., Fitzpatrick, M., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Hartley, W. G., Hernandez-Lang, D., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hughes, A. K., Jacques, A., James, D. J., Johnson, M. D., Kuehn, K., Kuropatkin, N., Lahav, O., Li, T. S., Lidman, C., Lin, H., March, M., Marshall, J. L., Martínez-Delgado, D., Martínez-Vázquez, C. E., Massana, P., Mau, S., McNanna, M., Melchior, P., Menanteau, F., Miller, A. E., Miquel, R., Mohr, J. J., Morgan, R., Mutlu-Pakdil, B., Muñoz, R. R., Neilsen, E. H., Nidever, D. L., Nikutta, R., Castellon, J. L. Nilo, Noël, N. E. D., Ogando, R. L. C., Olsen, K. A. G., Pace, A. B., Palmese, A., Paz-Chinchón, F., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Prat, J., Riley, A. H., Rodriguez-Monroy, M., Romer, A. K., Roodman, A., Sako, M., Sakowska, J. D., Sanchez, E., Sánchez, F. J., Sand, D. J., Santana-Silva, L., Santiago, B., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Simon, J. D., Smith, M., Soares-Santos, M., Stringfellow, G. S., Suchyta, E., Suson, D. J., Tan, C. Y., Tarle, G., Tavangar, K., Thomas, D., To, C., Tollerud, E. J., Troxel, M. A., Tucker, D. L., Varga, T. N., Vivas, A. K., Walker, A. R., Weller, J., Wilkinson, R. D., Wu, J. F., Yanny, B., Zaborowski, E., Zenteno, A., Drlica-Wagner, A., Ferguson, P. S., Adamów, M., Aguena, M., Andrade-Oliveira, F., Bacon, D., Bechtol, K., Bell, E. F., Bertin, E., Bilaji, P., Bocquet, S., Bom, C. R., Brooks, D., Burke, D. L., Carballo-Bello, J. A., Carlin, J. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cerny, W., Chang, C., Choi, Y., Conselice, C., Costanzi, M., Crnojević, D., da Costa, L. N., De Vicente, J., Desai, S., Esteves, J., Everett, S., Ferrero, I., Fitzpatrick, M., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Hartley, W. G., Hernandez-Lang, D., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hughes, A. K., Jacques, A., James, D. J., Johnson, M. D., Kuehn, K., Kuropatkin, N., Lahav, O., Li, T. S., Lidman, C., Lin, H., March, M., Marshall, J. L., Martínez-Delgado, D., Martínez-Vázquez, C. E., Massana, P., Mau, S., McNanna, M., Melchior, P., Menanteau, F., Miller, A. E., Miquel, R., Mohr, J. J., Morgan, R., Mutlu-Pakdil, B., Muñoz, R. R., Neilsen, E. H., Nidever, D. L., Nikutta, R., Castellon, J. L. Nilo, Noël, N. E. D., Ogando, R. L. C., Olsen, K. A. G., Pace, A. B., Palmese, A., Paz-Chinchón, F., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Prat, J., Riley, A. H., Rodriguez-Monroy, M., Romer, A. K., Roodman, A., Sako, M., Sakowska, J. D., Sanchez, E., Sánchez, F. J., Sand, D. J., Santana-Silva, L., Santiago, B., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Simon, J. D., Smith, M., Soares-Santos, M., Stringfellow, G. S., Suchyta, E., Suson, D. J., Tan, C. Y., Tarle, G., Tavangar, K., Thomas, D., To, C., Tollerud, E. J., Troxel, M. A., Tucker, D. L., Varga, T. N., Vivas, A. K., Walker, A. R., Weller, J., Wilkinson, R. D., Wu, J. F., Yanny, B., Zaborowski, E., and Zenteno, A.
Abstract: We present the second public data release (DR2) from the DECam Local Volume Exploration survey (DELVE). DELVE DR2 combines new DECam observations with archival DECam data from the Dark Energy Survey, the DECam Legacy Survey, and other DECam community programs. DELVE DR2 consists of ~160,000 exposures that cover >21,000 deg^2 of the high Galactic latitude (|b| > 10 deg) sky in four broadband optical/near-infrared filters (g, r, i, z). DELVE DR2 provides point-source and automatic aperture photometry for ~2.5 billion astronomical sources with a median 5{\sigma} point-source depth of g=24.3, r=23.9, i=23.5, and z=22.8 mag. A region of ~17,000 deg^2 has been imaged in all four filters, providing four-band photometric measurements for ~618 million astronomical sources. DELVE DR2 covers more than four times the area of the previous DELVE data release and contains roughly five times as many astronomical objects. DELVE DR2 is publicly available via the NOIRLab Astro Data Lab science platform., Comment: 23 pages, 10 figures, 5 tables; to be submitted to AAS Journals; public data release at https://datalab.noirlab.edu/delve/. arXiv admin note: substantial text overlap with arXiv:2103.07476
Published: 2022

19. Measuring Cosmological Parameters with Type Ia Supernovae in redMaGiC galaxies

Author: Chen, R., Scolnic, D., Rozo, E., Rykoff, E. S., Popovic, B., Kessler, R., Vincenzi, M., Davis, T. M., Armstrong, P., Brout, D., Galbany, L., Kelsey, L., Lidman, C., Möller, A., Rose, B., Sako, M., Sullivan, M., Taylor, G., Wiseman, P., Asorey, J., Carr, A., Conselice, C., Kuehn, K., Lewis, G. F., Macaulay, E., Rodriguez-Monroy, M., Tucker, B. E., Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveira, F., Annis, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Cawthon, R., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Gruen, D., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Lahav, O., Lima, M., March, M., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Prat, J., Romer, A. K., Roodman, A., Sanchez, E., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Tucker, D. L., Varga, T. N., Chen, R., Scolnic, D., Rozo, E., Rykoff, E. S., Popovic, B., Kessler, R., Vincenzi, M., Davis, T. M., Armstrong, P., Brout, D., Galbany, L., Kelsey, L., Lidman, C., Möller, A., Rose, B., Sako, M., Sullivan, M., Taylor, G., Wiseman, P., Asorey, J., Carr, A., Conselice, C., Kuehn, K., Lewis, G. F., Macaulay, E., Rodriguez-Monroy, M., Tucker, B. E., Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveira, F., Annis, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Cawthon, R., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Gruen, D., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Lahav, O., Lima, M., March, M., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Prat, J., Romer, A. K., Roodman, A., Sanchez, E., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Tucker, D. L., and Varga, T. N.
Abstract: Current and future cosmological analyses with Type Ia Supernovae (SNe Ia) face three critical challenges: i) measuring redshifts from the supernova or its host galaxy; ii) classifying SNe without spectra; and iii) accounting for correlations between the properties of SNe Ia and their host galaxies. We present here a novel approach that addresses each challenge. In the context of the Dark Energy Survey (DES), we analyze a SNIa sample with host galaxies in the redMaGiC galaxy catalog, a selection of Luminous Red Galaxies. Photo-$z$ estimates for these galaxies are expected to be accurate to $\sigma_{\Delta z/(1+z)}\sim0.02$. The DES-5YR photometrically classified SNIa sample contains approximately 1600 SNe and 125 of these SNe are in redMaGiC galaxies. We demonstrate that redMaGiC galaxies almost exclusively host SNe Ia, reducing concerns with classification uncertainties. With this subsample, we find similar Hubble scatter (to within $\sim0.01$ mag) using photometric redshifts in place of spectroscopic redshifts. With detailed simulations, we show the bias due to using photo-$z$s from redMaGiC host galaxies on the measurement of the dark energy equation-of-state $w$ is up to $\Delta w \sim 0.01-0.02$. With real data, we measure a difference in $w$ when using redMaGiC photometric redshifts versus spectroscopic redshifts of $\Delta w = 0.005$. Finally, we discuss how SNe in redMaGiC galaxies appear to be a more standardizable population due to a weaker relation between color and luminosity ($\beta$) compared to the DES-3YR population by $\sim5\sigma$; this finding is consistent with predictions that redMaGiC galaxies exhibit lower reddening ratios ($\textrm{R}_\textrm{V}$) than the general population of SN host galaxies. These results establish the feasibility of performing redMaGiC SN cosmology with photometric survey data in the absence of spectroscopic data., Comment: 15 pages, 8 figures. Submitting to ApJ, comments welcome
Published: 2022

20. The Dark Energy Survey 5-year photometrically identified Type Ia Supernovae

Author: Möller, A., Smith, M., Sako, M., Sullivan, M., Vincenzi, M., Wiseman, P., Armstrong, P., Asorey, J., Brout, D., Carollo, D., Davis, T. M., Frohmaier, C., Galbany, L., Glazebrook, K., Kelsey, L., Kessler, R., Lewis, G. F., Lidman, C., Malik, U., Scolnic, D., Tucker, B. E., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Finley, D. A., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., March, M., Marshall, J. L., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Roodman, A., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Suchyta, E., Tarle, G., Thomas, D., To, C., Varga, T. N., Möller, A., Smith, M., Sako, M., Sullivan, M., Vincenzi, M., Wiseman, P., Armstrong, P., Asorey, J., Brout, D., Carollo, D., Davis, T. M., Frohmaier, C., Galbany, L., Glazebrook, K., Kelsey, L., Kessler, R., Lewis, G. F., Lidman, C., Malik, U., Scolnic, D., Tucker, B. E., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Finley, D. A., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., March, M., Marshall, J. L., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Roodman, A., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Suchyta, E., Tarle, G., Thomas, D., To, C., and Varga, T. N.
Abstract: As part of the cosmology analysis using Type Ia Supernovae (SN Ia) in the Dark Energy Survey (DES), we present photometrically identified SN Ia samples using multi-band light-curves and host galaxy redshifts. For this analysis, we use the photometric classification framework SuperNNova (SNN; M\"oller et al. 2019) trained on realistic DES-like simulations. For reliable classification, we process the DES SN programme (DES-SN) data and introduce improvements to the classifier architecture, obtaining classification accuracies of more than 98 per cent on simulations. This is the first SN classification to make use of ensemble methods, resulting in more robust samples. Using photometry, host galaxy redshifts, and a classification probability requirement, we identify 1,863 SNe Ia from which we select 1,484 cosmology-grade SNe Ia spanning the redshift range of 0.07 < z < 1.14. We find good agreement between the light-curve properties of the photometrically-selected sample and simulations. Additionally, we create similar SN Ia samples using two types of Bayesian Neural Network classifiers that provide uncertainties on the classification probabilities. We test the feasibility of using these uncertainties as indicators for out-of-distribution candidates and model confidence. Finally, we discuss the implications of photometric samples and classification methods for future surveys such as Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST)., Comment: 18 pages, 8 figures
Published: 2022

21. Optical Variability of Quasars with 20-Year Photometric Light Curves

Author: Stone, Zachary, Shen, Yue, Burke, Colin J., Chen, Yu-Ching, Yang, Qian, Liu, Xin, Gruendl, R. A., Adamów, M., Andrade-Oliveira, F., Annis, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Ferrero, I., Friedel, D. N., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruen, D., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Kuehn, K., Kuropatkin, N., Lidman, C., Maia, M. A. G., Menanteau, F., Miquel, R., Morgan, R., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Rodriguez-Monroy, M., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarlé, G., To, C., Stone, Zachary, Shen, Yue, Burke, Colin J., Chen, Yu-Ching, Yang, Qian, Liu, Xin, Gruendl, R. A., Adamów, M., Andrade-Oliveira, F., Annis, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Ferrero, I., Friedel, D. N., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruen, D., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Kuehn, K., Kuropatkin, N., Lidman, C., Maia, M. A. G., Menanteau, F., Miquel, R., Morgan, R., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Rodriguez-Monroy, M., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarlé, G., and To, C.
Abstract: We study the optical $gri$ photometric variability of a sample of 190 quasars within the SDSS Stripe 82 region that have long-term photometric coverage during $\sim 1998-2020$ with SDSS, PanSTARRS-1, the Dark Energy Survey, and dedicated follow-up monitoring with Blanco 4m/DECam. With on average $\sim 200$ nightly epochs per quasar per filter band, we improve the parameter constraints from a Damped Random Walk (DRW) model fit to the light curves over previous studies with 10-15 yr baselines and $\lesssim 100$ epochs. We find that the average damping timescale $\tau_{\rm DRW}$ continues to rise with increased baseline, reaching a median value of $\sim 750$ days ($g$ band) in the rest-frame of these quasars using the 20-yr light curves. Some quasars may have gradual, long-term trends in their light curves, suggesting that either the DRW fit requires very long baselines to converge, or that the underlying variability is more complex than a single DRW process for these quasars. Using a subset of quasars with better-constrained $\tau_{\rm DRW}$ (less than 20\% of the baseline), we confirm a weak wavelength dependence of $\tau_{\rm DRW}\propto \lambda^{0.51\pm0.20}$. We further quantify optical variability of these quasars over days to decades timescales using structure function (SF) and power spectrum density (PSD) analyses. The SF and PSD measurements qualitatively confirm the measured (hundreds of days) damping timescales from the DRW fits. However, the ensemble PSD is steeper than that of a DRW on timescales less than $\sim$ a month for these luminous quasars, and this second break point correlates with the longer DRW damping timescale., Comment: 21 pages, 24 figures
Published: 2022

22. Dark Energy Survey Year 3 Results: Measurement of the Baryon Acoustic Oscillations with Three-dimensional Clustering

Author: Chan, K. C., Avila, S., Rosell, A. Carnero, Ferrero, I., Elvin-Poole, J., Sanchez, E., Camacho, H., Porredon, A., Crocce, M., Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveira, F., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Conselice, C., Costanzi, M., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Flaugher, B., Fosalba, P., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kuehn, K., Lahav, O., Lidman, C., Lima, M., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Rodriguez-Monroy, M., Roodman, A., Ross, A. J., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Vincenzi, M., Weaverdyck, N., Chan, K. C., Avila, S., Rosell, A. Carnero, Ferrero, I., Elvin-Poole, J., Sanchez, E., Camacho, H., Porredon, A., Crocce, M., Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveira, F., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Conselice, C., Costanzi, M., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Flaugher, B., Fosalba, P., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kuehn, K., Lahav, O., Lidman, C., Lima, M., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Rodriguez-Monroy, M., Roodman, A., Ross, A. J., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Vincenzi, M., and Weaverdyck, N.
Abstract: The three-dimensional correlation function offers an effective way to summarize the correlation of the large-scale structure even for imaging galaxy surveys. We have applied the projected three-dimensional correlation function, $\xi_{\rm p}$ to measure the Baryonic Acoustic Oscillations (BAO) scale on the first-three years Dark Energy Survey data. The sample consists of about 7 million galaxies in the redshift range $ 0.6 < z_{\rm p } < 1.1 $ over a footprint of $4108 \, \mathrm{deg}^2 $. Our theory modeling includes the impact of realistic true redshift distributions beyond Gaussian photo-$z$ approximation. To increase the signal-to-noise of the measurements, a Gaussian stacking window function is adopted in place of the commonly used top-hat. Using the full sample, $ D_{\rm M}(z_{\rm eff} ) / r_{\rm s} $, the ratio between the comoving angular diameter distance and the sound horizon, is constrained to be $ 19.00 \pm 0.67 $ (top-hat) and $ 19.15 \pm 0.58 $ (Gaussian) at $z_{\rm eff} = 0.835$. The constraint is weaker than the angular correlation $w$ constraint ($18.84 \pm 0.50$) because the BAO signals are heterogeneous across redshift. When a homogeneous BAO-signal sub-sample in the range $ 0.7 < z_{\rm p } < 1.0 $ ($z_{\rm eff} = 0.845$) is considered, $\xi_{\rm p} $ yields $ 19.80 \pm 0.67 $ (top-hat) and $ 19.84 \pm 0.53 $ (Gaussian). The latter is mildly stronger than the $w$ constraint ($19.86 \pm 0.55 $). We find that the $\xi_{\rm p} $ results are more sensitive to photo-$z$ errors than $w$ because $\xi_{\rm p}$ keeps the three-dimensional clustering information causing it to be more prone to photo-$z$ noise. The Gaussian window gives more robust results than the top-hat as the former is designed to suppress the low signal modes. $\xi_{\rm p}$ and the angular statistics such as $w$ have their own pros and cons, and they serve an important crosscheck with each other., Comment: 20 pages, 12 figures, minor changes to match published version
Published: 2022
Full Text: View/download PDF

23. OzDES Reverberation Mapping Program: H$\beta$ lags from the 6-year survey

Author: Malik, Umang, Sharp, Rob, Penton, A., Yu, Z., Martini, P., Lidman, C., Tucker, B. E., Davis, T. M., Lewis, G. F., Aguena, M., Allam, S., Alves, O., Andrade-Oliveira, F., Asorey, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carollo, D., Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Rodriguez-Monroy, M., Romer, A. K., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Taylor, G., Tucker, D. L., Weaverdyck, N., Wilkinson, R. D., Malik, Umang, Sharp, Rob, Penton, A., Yu, Z., Martini, P., Lidman, C., Tucker, B. E., Davis, T. M., Lewis, G. F., Aguena, M., Allam, S., Alves, O., Andrade-Oliveira, F., Asorey, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carollo, D., Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Rodriguez-Monroy, M., Romer, A. K., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Taylor, G., Tucker, D. L., Weaverdyck, N., and Wilkinson, R. D.
Abstract: Reverberation mapping measurements have been used to constrain the relationship between the size of the broad-line region and luminosity of active galactic nuclei (AGN). This $R-L$ relation is used to estimate single-epoch virial black hole masses, and has been proposed for use to standardise AGN to determine cosmological distances. We present reverberation measurements made with H$\beta$ from the six-year Australian Dark Energy Survey (OzDES) Reverberation Mapping Program. We successfully recover reverberation lags for eight AGN at $0.12
Published: 2022
Full Text: View/download PDF

24. The PSZ-MCMF catalogue of Planck clusters over the DES region

Author: Hernández-Lang, D., Klein, M., Mohr, J. J., Grandis, S., Melin, J. -B., Tarrío, P., Arnaud, M., Pratt, G. W., Abbott, T. M. C., Aguena, M., Alves, O., Andrade-Oliveira, F., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Frieman, J., García-Bellido, J., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., Lidman, C., Melchior, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Rodriguez-Monroy, M., Romer, A. K., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Tarle, G., Thomas, D., Weaverdyck, N., Hernández-Lang, D., Klein, M., Mohr, J. J., Grandis, S., Melin, J. -B., Tarrío, P., Arnaud, M., Pratt, G. W., Abbott, T. M. C., Aguena, M., Alves, O., Andrade-Oliveira, F., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Frieman, J., García-Bellido, J., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., Lidman, C., Melchior, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Rodriguez-Monroy, M., Romer, A. K., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Tarle, G., Thomas, D., and Weaverdyck, N.
Abstract: We present the first systematic follow-up of Planck Sunyaev-Zeldovich effect (SZE) selected candidates down to signal-to-noise (S/N) of 3 over the 5000 deg$^2$ covered by the Dark Energy Survey. Using the MCMF cluster confirmation algorithm, we identify optical counterparts, determine photometric redshifts and richnesses and assign a parameter, $f_{\rm cont}$, that reflects the probability that each SZE-optical pairing represents a random superposition of physically unassociated systems rather than a real cluster. The new PSZ-MCMF cluster catalogue consists of 853 MCMF confirmed clusters and has a purity of 90%. We present the properties of subsamples of the PSZ-MCMF catalogue that have purities ranging from 90% to 97.5%, depending on the adopted $f_{\rm cont}$ threshold. Halo mass estimates $M_{500}$, redshifts, richnesses, and optical centers are presented for all PSZ-MCMF clusters. The PSZ-MCMF catalogue adds 589 previously unknown Planck identified clusters over the DES footprint and provides redshifts for an additional 50 previously published Planck selected clusters with S/N>4.5. Using the subsample with spectroscopic redshifts, we demonstrate excellent cluster photo-$z$ performance with an RMS scatter in $\Delta z/(1+z)$ of 0.47%. Our MCMF based analysis allows us to infer the contamination fraction of the initial S/N>3 Planck selected candidate list, which is ~50%. We present a method of estimating the completeness of the PSZ-MCMF cluster sample. In comparison to the previously published Planck cluster catalogues. this new S/N>3 MCMF confirmed cluster catalogue populates the lower mass regime at all redshifts and includes clusters up to z$\sim$1.3., Comment: 20 pages, 5 Appendices, 17 figures. The newest submission matches the accepted MNRAS version
Published: 2022
Full Text: View/download PDF

25. Dark Energy Survey Year 3 Results: Redshift Calibration of the MagLim Lens Sample from the combination of SOMPZ and clustering and its impact on Cosmology

Author: Giannini, G., Alarcon, A., Gatti, M., Porredon, A., Crocce, M., Bernstein, G. M., Cawthon, R., Sánchez, C., Doux, C., Elvin-Poole, J., Raveri, M., Myles, J., Amon, A., Allam, S., Alves, O., Andrade-Oliveira, F., Baxter, E., Bechtol, K., Becker, M. R., Blazek, J., Camacho, H., Campos, A., Rosell, A. Carnero, Kind, M. Carrasco, Choi, A., Cordero, J., De Vicente, J., DeRose, J., Diehl, H. T., Dodelson, S., Drlica-Wagner, A., Eckert, K., Everett, S., Fang, X., Farahi, A., Fosalba, P., Friedrich, O., Gruen, D., Gruendl, R. A., Gschwend, J., Harrison, I., Hartley, W. G., Huff, E. M., Jarvis, M., Krause, E., Kuropatkin, N., Lemos, P., MacCrann, N., McCullough, J., Muir, J., Pandey, S., Prat, J., Rodriguez-Monroy, M., Ross, A. J., Rykoff, E. S., Samuroff, S., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Troxel, M. A., Tucker, D. L., Weaverdyck, N., Yanny, B., Yin, B., Zhang, Y., Abbott, T. M. C., Aguena, M., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Carretero, J., Castander, F. J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Doel, P., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kent, S., Kuehn, K., Lahav, O., Lidman, C., Lima, M., Melchior, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Ogando, R. L. C., Paterno, M., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Roodman, A., Sanchez, E., Scarpine, V., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Vincenzi, M., Giannini, G., Alarcon, A., Gatti, M., Porredon, A., Crocce, M., Bernstein, G. M., Cawthon, R., Sánchez, C., Doux, C., Elvin-Poole, J., Raveri, M., Myles, J., Amon, A., Allam, S., Alves, O., Andrade-Oliveira, F., Baxter, E., Bechtol, K., Becker, M. R., Blazek, J., Camacho, H., Campos, A., Rosell, A. Carnero, Kind, M. Carrasco, Choi, A., Cordero, J., De Vicente, J., DeRose, J., Diehl, H. T., Dodelson, S., Drlica-Wagner, A., Eckert, K., Everett, S., Fang, X., Farahi, A., Fosalba, P., Friedrich, O., Gruen, D., Gruendl, R. A., Gschwend, J., Harrison, I., Hartley, W. G., Huff, E. M., Jarvis, M., Krause, E., Kuropatkin, N., Lemos, P., MacCrann, N., McCullough, J., Muir, J., Pandey, S., Prat, J., Rodriguez-Monroy, M., Ross, A. J., Rykoff, E. S., Samuroff, S., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Troxel, M. A., Tucker, D. L., Weaverdyck, N., Yanny, B., Yin, B., Zhang, Y., Abbott, T. M. C., Aguena, M., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Carretero, J., Castander, F. J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Doel, P., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kent, S., Kuehn, K., Lahav, O., Lidman, C., Lima, M., Melchior, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Ogando, R. L. C., Paterno, M., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Roodman, A., Sanchez, E., Scarpine, V., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., and Vincenzi, M.
Abstract: We present an alternative calibration of the MagLim lens sample redshift distributions from the Dark Energy Survey (DES) first three years of data (Y3). The new calibration is based on a combination of a Self-Organising Maps based scheme and clustering redshifts to estimate redshift distributions and inherent uncertainties, which is expected to be more accurate than the original DES Y3 redshift calibration of the lens sample. We describe in detail the methodology, we validate it on simulations and discuss the main effects dominating our error budget. The new calibration is in fair agreement with the fiducial DES Y3 redshift distributions calibration, with only mild differences ($<3\sigma$) in the means and widths of the distributions. We study the impact of this new calibration on cosmological constraints, analysing DES Y3 galaxy clustering and galaxy-galaxy lensing measurements, assuming a $\Lambda$CDM cosmology. We obtain $\Omega_{\rm m} = 0.30\pm 0.04$, $\sigma_8 = 0.81\pm 0.07 $ and $S_8 = 0.81\pm 0.04$, which implies a $\sim 0.4\sigma$ shift in the $\Omega_{\rm}-S_8$ plane compared to the fiducial DES Y3 results, highlighting the importance of the redshift calibration of the lens sample in multi-probe cosmological analyses.
Published: 2022
Full Text: View/download PDF

26. New Velocity Measurements of NGC 5128 Globular Clusters out to 130 kpc: Outer Halo Kinematics, Substructure and Dynamics

Author: Hughes, A. K., Sand, D. J., Seth, A., Strader, J., Lidman, C., Voggel, K., Dumont, A., Crnojević, D., Mateo, M., Caldwell, N., Forbes, D. A., Pearson, S., Guhathakurta, P., Toloba, E., Hughes, A. K., Sand, D. J., Seth, A., Strader, J., Lidman, C., Voggel, K., Dumont, A., Crnojević, D., Mateo, M., Caldwell, N., Forbes, D. A., Pearson, S., Guhathakurta, P., and Toloba, E.
Abstract: We present new radial velocity measurements from the Magellan and the Anglo-Australian Telescopes for 174 previously known and 122 newly confirmed globular clusters (GCs) around NGC 5128, the nearest accessible massive early-type galaxy at D=3.8 Mpc. Remarkably, 28 of these newly confirmed GCs are at projected radii >50' ($\gtrsim 54$ kpc), extending to $\sim 130$ kpc, in the outer halo where few GCs had been confirmed in previous work. We identify several subsets of GCs that spatially trace halo substructures that are visible in red giant branch star maps of the galaxy. In some cases, these subsets of GCs are kinematically cold, and may be directly associated with and originate from these specific stellar substructures. From a combined kinematic sample of 645 GCs, we see evidence for coherent rotation at all radii, with a higher rotation amplitude for the metal-rich GC subpopulation. Using the tracer mass estimator, we measure a total enclosed mass of $2.5\pm0.3 \times 10^{12} M_{\odot}$ within $\sim 120$ kpc, an estimate that will be sharpened with forthcoming dynamical modeling. The combined power of stellar mapping and GC kinematics makes NGC 5128 an ongoing keystone for understanding galaxy assembly at mass scales inaccessible in the Local Group., Comment: 24 pages, 13 figures, submitted to AAS Journals
Published: 2022
Full Text: View/download PDF

27. OzDES Reverberation Mapping Program: Mg II Lags and R-L relation

Author: Yu, Zhefu, Martini, Paul, Penton, A., Davis, T. M., Kochanek, C. S., Lewis, G. F., Lidman, C., Malik, U., Sharp, R., Tucker, B. E., Aguena, M., Annis, J., Bertin, E., Bocquet, S., Brooks, D., Rosell, A. Carnero, Carollo, D., Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., García-Bellido, J., Gatti, M., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Mena-Fernández, J., Menanteau, F., Miquel, R., Nichol, B., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Romer, A. K., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Vincenzi, M., Walker, A. R., Weaverdyck, N., Yu, Zhefu, Martini, Paul, Penton, A., Davis, T. M., Kochanek, C. S., Lewis, G. F., Lidman, C., Malik, U., Sharp, R., Tucker, B. E., Aguena, M., Annis, J., Bertin, E., Bocquet, S., Brooks, D., Rosell, A. Carnero, Carollo, D., Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., García-Bellido, J., Gatti, M., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Mena-Fernández, J., Menanteau, F., Miquel, R., Nichol, B., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Romer, A. K., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Vincenzi, M., Walker, A. R., and Weaverdyck, N.
Abstract: The correlation between the broad line region radius and continuum luminosity ($R-L$ relation) of active galactic nuclei (AGN) is critical for single-epoch mass estimates of supermassive black holes (SMBHs). At $z \sim 1-2$, where AGN activity peaks, the $R-L$ relation is constrained by the reverberation mapping (RM) lags of the Mg II line. We present 25 Mg II lags from the Australian Dark Energy Survey (OzDES) RM project based on six years of monitoring. We define quantitative criteria to select good lag measurements and verify their reliability with simulations based on both the damped random walk stochastic model and the re-scaled, re-sampled versions of the observed lightcurves of local, well-measured AGN. Our sample significantly increases the number of Mg II lags and extends the $R-L$ relation to higher redshifts and luminosities. The relative iron line strength $\mathcal{R}_{\rm Fe}$ has little impact on the $R-L$ relation. The best-fit Mg II $R-L$ relation has a slope $\alpha = 0.39 \pm 0.08$ with an intrinsic scatter $\sigma_{\rm rl} = 0.15^{+0.03}_{-0.02}$. The slope is consistent with previous measurements and shallower than the H$\beta$ $R-L$ relation. The intrinsic scatter of the new $R-L$ relation is substantially smaller than previous studies and comparable to the intrinsic scatter of the H$\beta$ $R-L$ relation. Our new $R-L$ relation will enable more precise single-epoch mass estimates and SMBH demographic studies at cosmic noon., Comment: 16 pages, 8 figures; MNRAS, Volume 522, pp.4132
Published: 2022
Full Text: View/download PDF

28. A measurement of the mean central optical depth of galaxy clusters via the pairwise kinematic Sunyaev-Zel'dovich effect with SPT-3G and DES

Author: Schiappucci, E., Bianchini, F., Aguena, M., Archipley, M., Balkenhol, L., Bleem, L. E., Chaubal, P., Crawford, T. M., Grandis, S., Omori, Y., Reichardt, C. L., Rozo, E., Rykoff, E. S., To, C., Abbott, T. M. C., Ade, P. A. R., Alves, O., Anderson, A. J., Andrade-Oliveira, F., Annis, J., Avva, J. S., Bacon, D., Benabed, K., Bender, A. N., Benson, B. A., Bernstein, G. M., Bertin, E., Bocquet, S., Bouchet, F. R., Brooks, D., Burke, D. L., Carlstrom, J. E., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Cecil, T. W., Chang, C. L., Chichura, P. M., Chou, T. -L., Costanzi, M., Cukierman, A., da Costa, L. N., Daley, C., de Haan, T., Desai, S., Dibert, K. R., Diehl, H. T., Dobbs, M. A., Doel, P., Doux, C., Dutcher, D., Everett, S., Everett, W., Feng, C., Ferguson, K. R., Ferrero, I., Ferté, A., Flaugher, B., Foster, A., Frieman, J., Galli, S., Gambrel, A. E., García-Bellido, J., Gardner, R. W., Gatti, M., Giannantonio, T., Goeckner-Wald, N., Gruen, D., Gualtieri, R., Guns, S., Gutierrez, G., Halverson, N. W., Hinton, S. R., Hivon, E., Holder, G. P., Hollowood, D. L., Holzapfel, W. L., Honscheid, K., Hood, J. C., Huang, N., James, D. J., Knox, L., Korman, M., Kuehn, K., Kuo, C. -L., Lahav, O., Lee, A. T., Lidman, C., Lima, M., Lowitz, A. E., Lu, C., March, M., Mena-Fernández, J., Menanteau, F., Millea, M., Miquel, R., Mohr, J. J., Montgomery, J., Muir, J., Natoli, T., Noble, G. I., Novosad, V., Ogando, R. L. C., Padin, S., Pan, Z., Paz-Chinchón, F., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Prabhu, K., Prat, J., Quan, W., Rahlin, A., Raveri, M., Rodriguez-Monroy, M., Romer, A. K., Rouble, M., Ruhl, J. E., Sanchez, E., Scarpine, V., Schubnell, M., Smecher, G., Smith, M., Soares-Santos, M., Sobrin, J. A., Suchyta, E., Suzuki, A., Tarle, G., Thomas, D., Thompson, K. L., Thorne, B., Tucker, C., Umilta, C., Vieira, J. D., Vincenzi, M., Wang, G., Weaverdyck, N., Weller, J., Whitehorn, N., Wu, W. L. K., Yefremenko, V., Young, M. R., Schiappucci, E., Bianchini, F., Aguena, M., Archipley, M., Balkenhol, L., Bleem, L. E., Chaubal, P., Crawford, T. M., Grandis, S., Omori, Y., Reichardt, C. L., Rozo, E., Rykoff, E. S., To, C., Abbott, T. M. C., Ade, P. A. R., Alves, O., Anderson, A. J., Andrade-Oliveira, F., Annis, J., Avva, J. S., Bacon, D., Benabed, K., Bender, A. N., Benson, B. A., Bernstein, G. M., Bertin, E., Bocquet, S., Bouchet, F. R., Brooks, D., Burke, D. L., Carlstrom, J. E., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Cecil, T. W., Chang, C. L., Chichura, P. M., Chou, T. -L., Costanzi, M., Cukierman, A., da Costa, L. N., Daley, C., de Haan, T., Desai, S., Dibert, K. R., Diehl, H. T., Dobbs, M. A., Doel, P., Doux, C., Dutcher, D., Everett, S., Everett, W., Feng, C., Ferguson, K. R., Ferrero, I., Ferté, A., Flaugher, B., Foster, A., Frieman, J., Galli, S., Gambrel, A. E., García-Bellido, J., Gardner, R. W., Gatti, M., Giannantonio, T., Goeckner-Wald, N., Gruen, D., Gualtieri, R., Guns, S., Gutierrez, G., Halverson, N. W., Hinton, S. R., Hivon, E., Holder, G. P., Hollowood, D. L., Holzapfel, W. L., Honscheid, K., Hood, J. C., Huang, N., James, D. J., Knox, L., Korman, M., Kuehn, K., Kuo, C. -L., Lahav, O., Lee, A. T., Lidman, C., Lima, M., Lowitz, A. E., Lu, C., March, M., Mena-Fernández, J., Menanteau, F., Millea, M., Miquel, R., Mohr, J. J., Montgomery, J., Muir, J., Natoli, T., Noble, G. I., Novosad, V., Ogando, R. L. C., Padin, S., Pan, Z., Paz-Chinchón, F., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Prabhu, K., Prat, J., Quan, W., Rahlin, A., Raveri, M., Rodriguez-Monroy, M., Romer, A. K., Rouble, M., Ruhl, J. E., Sanchez, E., Scarpine, V., Schubnell, M., Smecher, G., Smith, M., Soares-Santos, M., Sobrin, J. A., Suchyta, E., Suzuki, A., Tarle, G., Thomas, D., Thompson, K. L., Thorne, B., Tucker, C., Umilta, C., Vieira, J. D., Vincenzi, M., Wang, G., Weaverdyck, N., Weller, J., Whitehorn, N., Wu, W. L. K., Yefremenko, V., and Young, M. R.
Abstract: We infer the mean optical depth of a sample of optically-selected galaxy clusters from the Dark Energy Survey (DES) via the pairwise kinematic Sunyaev-Zel'dovich (kSZ) effect. The pairwise kSZ signal between pairs of clusters drawn from the DES Year-3 cluster catalog is detected at $4.1 \sigma$ in cosmic microwave background (CMB) temperature maps from two years of observations with the SPT-3G camera on the South Pole Telescope. After cuts, there are 24,580 clusters in the $\sim 1,400$ deg$^2$ of the southern sky observed by both experiments. We infer the mean optical depth of the cluster sample with two techniques. The optical depth inferred from the pairwise kSZ signal is $\bar{\tau}_e = (2.97 \pm 0.73) \times 10^{-3}$, while that inferred from the thermal SZ signal is $\bar{\tau}_e = (2.51 \pm 0.55^{\text{stat}} \pm 0.15^{\rm syst}) \times 10^{-3}$. The two measures agree at $0.6 \sigma$. We perform a suite of systematic checks to test the robustness of the analysis.
Published: 2022
Full Text: View/download PDF

29. Concerning Colour: The Effect of Environment on Type Ia Supernova Colour in the Dark Energy Survey

Author: Kelsey, L., Sullivan, M., Wiseman, P., Armstrong, P., Chen, R., Brout, D., Davis, T. M., Dixon, M., Frohmaier, C., Galbany, L., Graur, O., Kessler, R., Lidman, C., Möller, A., Popovic, B., Rose, B., Scolnic, D., Smith, M., Vincenzi, M., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Annis, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Everett, S., Ferrero, I., Frieman, J., García-Bellido, J., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lewis, G. F., Mena-Fernández, J., Miquel, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Rodriguez-Monroy, M., Romer, A. K., Sanchez, E., Scarpine, V., Schubnell, M., Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarle, G., Tucker, D. L., Weaverdyck, N., Kelsey, L., Sullivan, M., Wiseman, P., Armstrong, P., Chen, R., Brout, D., Davis, T. M., Dixon, M., Frohmaier, C., Galbany, L., Graur, O., Kessler, R., Lidman, C., Möller, A., Popovic, B., Rose, B., Scolnic, D., Smith, M., Vincenzi, M., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Annis, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Everett, S., Ferrero, I., Frieman, J., García-Bellido, J., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lewis, G. F., Mena-Fernández, J., Miquel, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Rodriguez-Monroy, M., Romer, A. K., Sanchez, E., Scarpine, V., Schubnell, M., Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarle, G., Tucker, D. L., and Weaverdyck, N.
Abstract: Recent analyses have found intriguing correlations between the colour ($c$) of type Ia supernovae (SNe Ia) and the size of their 'mass-step', the relationship between SN Ia host galaxy stellar mass ($M_\mathrm{stellar}$) and SN Ia Hubble residual, and suggest that the cause of this relationship is dust. Using 675 photometrically-classified SNe Ia from the Dark Energy Survey 5-year sample, we study the differences in Hubble residual for a variety of global host galaxy and local environmental properties for SN Ia subsamples split by their colour. We find a $3\sigma$ difference in the mass-step when comparing blue ($c<0$) and red ($c>0$) SNe. We observe the lowest r.m.s. scatter ($\sim0.14$ mag) in the Hubble residual for blue SNe in low mass/blue environments, suggesting that this is the most homogeneous sample for cosmological analyses. By fitting for $c$-dependent relationships between Hubble residuals and $M_\mathrm{stellar}$, approximating existing dust models, we remove the mass-step from the data and find tentative $\sim 2\sigma$ residual steps in rest-frame galaxy $U-R$ colour. This indicates that dust modelling based on $M_\mathrm{stellar}$ may not fully explain the remaining dispersion in SN Ia luminosity. Instead, accounting for a $c$-dependent relationship between Hubble residuals and global $U-R$, results in $\leq1\sigma$ residual steps in $M_\mathrm{stellar}$ and local $U-R$, suggesting that $U-R$ provides different information about the environment of SNe Ia compared to $M_\mathrm{stellar}$, and motivating the inclusion of galaxy $U-R$ colour in SN Ia distance bias correction., Comment: 19 pages, 8 figures. Published in MNRAS
Published: 2022
Full Text: View/download PDF

30. Evidence of Runaway Gas Cooling in the Absence of Supermassive Black Hole Feedback at the Epoch of Cluster Formation

Author: MIT Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology. Department of Physics, Hlavacek-Larrondo, J, Rhea, CL, Webb, T, McDonald, Michael A., Muzzin, A, Wilson, G, Finner, K, Valin, F, Bonaventura, N, Cooper, M, Fabian, AC, Gendron-Marsolais, ML, Jee, MJ, Lidman, C, Mezcua, M, Noble, A, Russell, HR, Surace, J, Trudeau, A, Yee, HKC, MIT Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology. Department of Physics, Hlavacek-Larrondo, J, Rhea, CL, Webb, T, McDonald, Michael A., Muzzin, A, Wilson, G, Finner, K, Valin, F, Bonaventura, N, Cooper, M, Fabian, AC, Gendron-Marsolais, ML, Jee, MJ, Lidman, C, Mezcua, M, Noble, A, Russell, HR, Surace, J, Trudeau, A, and Yee, HKC
Abstract: © 2020. The American Astronomical Society. All rights reserved.. Cosmological simulations, as well as mounting evidence from observations, have shown that supermassive black holes play a fundamental role in regulating the formation of stars throughout cosmic time. This has been clearly demonstrated in the case of galaxy clusters in which powerful feedback from the central black hole is preventing the hot intracluster gas from cooling catastrophically, thus reducing the expected star formation rates by orders of magnitude. These conclusions, however, have been almost entirely based on nearby clusters. Based on new Chandra X-ray observations, we present the first observational evidence for massive, runaway cooling occurring in the absence of supermassive black hole feedback in the high-redshift galaxy cluster SpARCS104922.6 + 564032.5 (z = 1.709). The hot intracluster gas appears to be fueling a massive burst of star formation (≈900 M o˙ yr-1) that is offset by dozens of kpc from the central galaxy. The burst is co-spatial with the coolest intracluster gas but not associated with any galaxy in the cluster. In less than 100 million years, such runaway cooling can form the same amount of stars as in the Milky Way. Therefore, intracluster stars are not only produced by tidal stripping and the disruption of cluster galaxies, but can also be produced by runaway cooling of hot intracluster gas at early times. Overall, these observations show the dramatic impact when supermassive black hole feedback fails to operate in clusters. They indicate that in the highest overdensities, such as clusters and protoclusters, runaway cooling may be a new and important mechanism for fueling massive bursts of star formation in the early universe.
Published: 2022

31. Core-collapse Supernovae in the Dark Energy Survey: Luminosity Functions and Host Galaxy Demographics

Author: Grayling, M., Gutiérrez, C. P., Sullivan, M., Wiseman, P., Vincenzi, M., Galbany, L., Möller, A., Brout, D., Davis, T. M., Frohmaier, C., Graur, O., Kelsey, L., Lidman, C., Popovic, B., Smith, M., Toy, M., Tucker, B. E., Zontou, Z., Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveira, F., Annis, J., Asorey, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Rosell, A. Carnero, Carollo, D., Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Friedel, D., Frieman, J., García-Bellido, J., Gatti, M., Gruen, D., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lewis, G. F., Malik, U., March, M., Menanteau, F., Miquel, R., Morgan, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Rodriguez-Monroy, M., Romer, A. K., Roodman, A., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Suchyta, E., Tarle, G., To, C., Tucker, D. L., Varga, T. N., Grayling, M., Gutiérrez, C. P., Sullivan, M., Wiseman, P., Vincenzi, M., Galbany, L., Möller, A., Brout, D., Davis, T. M., Frohmaier, C., Graur, O., Kelsey, L., Lidman, C., Popovic, B., Smith, M., Toy, M., Tucker, B. E., Zontou, Z., Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveira, F., Annis, J., Asorey, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Rosell, A. Carnero, Carollo, D., Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Friedel, D., Frieman, J., García-Bellido, J., Gatti, M., Gruen, D., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lewis, G. F., Malik, U., March, M., Menanteau, F., Miquel, R., Morgan, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Rodriguez-Monroy, M., Romer, A. K., Roodman, A., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Suchyta, E., Tarle, G., To, C., Tucker, D. L., and Varga, T. N.
Abstract: We present the luminosity functions and host galaxy properties of the Dark Energy Survey (DES) core-collapse supernova (CCSN) sample, consisting of 69 Type II and 50 Type Ibc spectroscopically and photometrically-confirmed supernovae over a redshift range $0.045
Published: 2022
Full Text: View/download PDF

32. A galaxy-driven model of type Ia supernova luminosity variations

Author: Wiseman, P., Vincenzi, M., Sullivan, M., Kelsey, L., Popovic, B., Rose, B., Brout, D., Davis, T. M., Frohmaier, C., Galbany, L., Lidman, C., Möller, A., Scolnic, D., Smith, M., Aguena, M., Allam, S., Andrade-Oliveira, F., Annis, J., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Costanzi, M., Pereira, M. E. S., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Friedel, D., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Gruen, D., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., March, M., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Santos, M. Soares, Suchyta, E., Tarle, G., To, C., Varga, T. N., Wiseman, P., Vincenzi, M., Sullivan, M., Kelsey, L., Popovic, B., Rose, B., Brout, D., Davis, T. M., Frohmaier, C., Galbany, L., Lidman, C., Möller, A., Scolnic, D., Smith, M., Aguena, M., Allam, S., Andrade-Oliveira, F., Annis, J., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Costanzi, M., Pereira, M. E. S., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Friedel, D., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Gruen, D., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., March, M., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Santos, M. Soares, Suchyta, E., Tarle, G., To, C., and Varga, T. N.
Abstract: Type Ia supernovae (SNe Ia) are used as standardisable candles to measure cosmological distances, but differences remain in their corrected luminosities which display a magnitude step as a function of host galaxy properties such as stellar mass and rest-frame $U-R$ colour. Identifying the cause of these steps is key to cosmological analyses and provides insight into SN physics. Here we investigate the effects of SN progenitor ages on their light curve properties using a galaxy-based forward model that we compare to the Dark Energy Survey 5-year SN Ia sample. We trace SN Ia progenitors through time and draw their light-curve width parameters from a bimodal distribution according to their age. We find that an intrinsic luminosity difference between SNe of different ages cannot explain the observed trend between step size and SN colour. The data split by stellar mass are better reproduced by following recent work implementing a step in total-to-selective dust extinction ratio $(R_V)$ between low- and high-mass hosts, although an additional intrinsic luminosity step is still required to explain the data split by host galaxy $U-R$. Modelling the $R_V$ step as a function of galaxy age provides a better match overall. Additional age vs. luminosity steps marginally improve the match to the data, although most of the step is absorbed by the width vs. luminosity coefficient $\alpha$. Furthermore, we find no evidence that $\alpha$ varies with SN age., Comment: 20 pages, 16 figures. Accepted for publication in MNRAS
Published: 2022
Full Text: View/download PDF

33. Resolving CO (2−1) in z ∼ 1.6 Gas-rich Cluster Galaxies with ALMA: Rotating Molecular Gas Disks with Possible Signatures of Gas Stripping

Author: MIT Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology. Department of Physics, Noble, AG, Muzzin, A, McDonald, Michael A., Rudnick, G, Matharu, J, Cooper, MC, Demarco, R, Lidman, C, Nantais, J, van Kampen, E, Webb, TMA, Wilson, G, Yee, HKC, MIT Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology. Department of Physics, Noble, AG, Muzzin, A, McDonald, Michael A., Rudnick, G, Matharu, J, Cooper, MC, Demarco, R, Lidman, C, Nantais, J, van Kampen, E, Webb, TMA, Wilson, G, and Yee, HKC
Abstract: © 2019. The American Astronomical Society. All rights reserved. We present the first spatially resolved observations of molecular gas in a sample of cluster galaxies beyond z > 0.1. Using ALMA, we detect CO (2-1) in eight z ∼ 1.6 cluster galaxies, all within a single 70″ primary beam. The cluster, SpARCS-J0225, was discovered by the Spitzer Adaptation of the Red-sequence Cluster Survey, and is replete with gas-rich galaxies in close proximity, thus affording an efficient multiplexing strategy to amass the first sample of resolved CO in distant clusters. Mapping out the kinematic structure and morphology of molecular gas on ∼3.5 kpc scales reveals rotating gas disks in the majority of the galaxies, and some kinematic peculiarities, including a central gas void, a merger, and one-sided gas tails. We find that the extent of the molecular gas is slightly smaller than that of the optical HST stellar component; this is even more pronounced in low-redshift Virgo cluster galaxies. However, limited by small sample sizes of spatially resolved CO, we are unable to differentiate the distribution of stellar-to-gas radii between cluster and field environments at high redshift. Thus, at first glance, while the cluster galaxies generally look like galaxies infalling from the field, with typical main-sequence star formation rates and massive molecular gas reservoirs situated in rotating disks, they have potentially remarkable attributes, including elevated gas fractions, slightly smaller CO disks, and asymmetric gas tails. Taken in tandem, these signatures are tentative evidence for gas stripping in the z ∼ 1.6 cluster, though verification of these trends will require larger samples.
Published: 2022

34. Type Ia supernova Hubble diagrams with host galaxy photometric redshifts

Author: Ruhlmann-Kleider, V., Lidman, C., Möller, A., Ruhlmann-Kleider, V., Lidman, C., and Möller, A.
Abstract: The case of SN Ia Hubble diagrams from photometrically selected samples using photometric SN host galaxy redshifts is investigated. The host redshift uncertainties and the contamination by core collapse SNe are addressed. As a test, we use the 3-year photometric SN Ia sample of the SuperNova Legacy Survey (SNLS), made of 437 objects between 0.1 and 1.05 in redshift. We combine this sample with non-SNLS objects of the JLA spectroscopic sample, made of 501 objects mostly below 0.4 in redshift. We study two options for the origin of the redshifts of the photometric sample, either provided entirely from the host photometric redshift catalogue or a mixed origin where 75% of the sample can be assigned spectroscopic redshifts. Using light curve simulations subject to the same photometric selection as data, we study the impact of photometric redshift uncertainties and contamination on flat $\Lambda CDM$ fits to Hubble diagrams from such combined samples. We find that photometric redshifts and contamination lead to biased cosmological parameters. The magnitude of the bias is similar for both redshift options. This bias can be largely accounted for if photometric redshift uncertainties and contamination are taken into account when computing the SN magnitude bias correction due to selection effects. To reduce the cosmological bias further, we explore two methods to propagate redshift uncertainties into the cosmological likelihood computation, either by refitting photometric redshifts with cosmology or by sampling the redshift resolution function. Redshift refitting fails at correcting the cosmological bias whatever the redshift option, while sampling slightly reduces it in both cases. For actual data, we find compatible results with the JLA ones for mixed photometric and spectroscopic redshifts, while the full photometric option is biased but consistent with JLA when all uncertainties are included., Comment: 38 pages, 12 figures
Published: 2022
Full Text: View/download PDF

35. Joint analysis of DES Year 3 data and CMB lensing from SPT and Planck III: Combined cosmological constraints

Author: Abbott, T. M. C., Aguena, M., Alarcon, A., Alves, O., Amon, A., Andrade-Oliveira, F., Annis, J., Ansarinejad, B., Avila, S., Bacon, D., Baxter, E. J., Bechtol, K., Becker, M. R., Benson, B. A., Bernstein, G. M., Bertin, E., Blazek, J., Bleem, L. E., Bocquet, S., Brooks, D., Buckley-Geer, E., Burke, D. L., Camacho, H., Campos, A., Carlstrom, J. E., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Cawthon, R., Chang, C., Chang, C. L., Chen, R., Choi, A., Chown, R., Conselice, C., Cordero, J., Costanzi, M., Crawford, T., Crites, A. T., Crocce, M., da Costa, L. N., Davis, C., Davis, T. M., de Haan, T., De Vicente, J., DeRose, J., Desai, S., Diehl, H. T., Dobbs, M. A., Dodelson, S., Doel, P., Doux, C., Drlica-Wagner, A., Eckert, K., Eifler, T. F., Elsner, F., Elvin-Poole, J., Everett, S., Everett, W., Fang, X., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Friedrich, O., Frieman, J., García-Bellido, J., Gatti, M., George, E. M., Giannantonio, T., Giannini, G., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Halverson, N. W., Harrison, I., Herner, K., Hinton, S. R., Holder, G. P., Hollowood, D. L., Holzapfel, W. L., Honscheid, K., Hrubes, J. D., Huang, H., Huff, E. M., Huterer, D., Jain, B., James, D. J., Jarvis, M., Jeltema, T., Kent, S., Knox, L., Kovacs, A., Krause, E., Kuehn, K., Kuropatkin, N., Lahav, O., Lee, A. T., Leget, P. -F., Lemos, P., Liddle, A. R., Lidman, C., Luong-Van, D., McMahon, J. J., MacCrann, N., March, M., Marshall, J. L., Martini, P., McCullough, J., Melchior, P., Menanteau, F., Meyer, S. S., Miquel, R., Mocanu, L., Mohr, J. J., Morgan, R., Muir, J., Myles, J., Natoli, T., Navarro-Alsina, A., Nichol, R. C., Omori, Y., Padin, S., Pandey, S., Park, Y., Paz-Chinchón, F., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Pryke, C., Raveri, M., Reichardt, C. L., Rollins, R. P., Romer, A. K., Roodman, A., Rosenfeld, R., Ross, A. J., Ruhl, J. E., Rykoff, E. S., Sánchez, C., Sanchez, E., Sanchez, J., Schaffer, K. K., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Shirokoff, E., Smith, M., Staniszewski, Z., Stark, A. A., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Troxel, M. A., Tutusaus, I., Varga, T. N., Vieira, J. D., Weaverdyck, N., Wechsler, R. H., Weller, J., Williamson, R., Wu, W. L. K., Yanny, B., Yin, B., Zhang, Y., Zuntz, J., Abbott, T. M. C., Aguena, M., Alarcon, A., Alves, O., Amon, A., Andrade-Oliveira, F., Annis, J., Ansarinejad, B., Avila, S., Bacon, D., Baxter, E. J., Bechtol, K., Becker, M. R., Benson, B. A., Bernstein, G. M., Bertin, E., Blazek, J., Bleem, L. E., Bocquet, S., Brooks, D., Buckley-Geer, E., Burke, D. L., Camacho, H., Campos, A., Carlstrom, J. E., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Cawthon, R., Chang, C., Chang, C. L., Chen, R., Choi, A., Chown, R., Conselice, C., Cordero, J., Costanzi, M., Crawford, T., Crites, A. T., Crocce, M., da Costa, L. N., Davis, C., Davis, T. M., de Haan, T., De Vicente, J., DeRose, J., Desai, S., Diehl, H. T., Dobbs, M. A., Dodelson, S., Doel, P., Doux, C., Drlica-Wagner, A., Eckert, K., Eifler, T. F., Elsner, F., Elvin-Poole, J., Everett, S., Everett, W., Fang, X., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Friedrich, O., Frieman, J., García-Bellido, J., Gatti, M., George, E. M., Giannantonio, T., Giannini, G., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Halverson, N. W., Harrison, I., Herner, K., Hinton, S. R., Holder, G. P., Hollowood, D. L., Holzapfel, W. L., Honscheid, K., Hrubes, J. D., Huang, H., Huff, E. M., Huterer, D., Jain, B., James, D. J., Jarvis, M., Jeltema, T., Kent, S., Knox, L., Kovacs, A., Krause, E., Kuehn, K., Kuropatkin, N., Lahav, O., Lee, A. T., Leget, P. -F., Lemos, P., Liddle, A. R., Lidman, C., Luong-Van, D., McMahon, J. J., MacCrann, N., March, M., Marshall, J. L., Martini, P., McCullough, J., Melchior, P., Menanteau, F., Meyer, S. S., Miquel, R., Mocanu, L., Mohr, J. J., Morgan, R., Muir, J., Myles, J., Natoli, T., Navarro-Alsina, A., Nichol, R. C., Omori, Y., Padin, S., Pandey, S., Park, Y., Paz-Chinchón, F., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Pryke, C., Raveri, M., Reichardt, C. L., Rollins, R. P., Romer, A. K., Roodman, A., Rosenfeld, R., Ross, A. J., Ruhl, J. E., Rykoff, E. S., Sánchez, C., Sanchez, E., Sanchez, J., Schaffer, K. K., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Shirokoff, E., Smith, M., Staniszewski, Z., Stark, A. A., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Troxel, M. A., Tutusaus, I., Varga, T. N., Vieira, J. D., Weaverdyck, N., Wechsler, R. H., Weller, J., Williamson, R., Wu, W. L. K., Yanny, B., Yin, B., Zhang, Y., and Zuntz, J.
Abstract: We present cosmological constraints from the analysis of two-point correlation functions between galaxy positions and galaxy lensing measured in Dark Energy Survey (DES) Year 3 data and measurements of cosmic microwave background (CMB) lensing from the South Pole Telescope (SPT) and Planck. When jointly analyzing the DES-only two-point functions and the DES cross-correlations with SPT+Planck CMB lensing, we find $\Omega_{\rm m} = 0.344\pm 0.030$ and $S_8 \equiv \sigma_8 (\Omega_{\rm m}/0.3)^{0.5} = 0.773\pm 0.016$, assuming $\Lambda$CDM. When additionally combining with measurements of the CMB lensing autospectrum, we find $\Omega_{\rm m} = 0.306^{+0.018}_{-0.021}$ and $S_8 = 0.792\pm 0.012$. The high signal-to-noise of the CMB lensing cross-correlations enables several powerful consistency tests of these results, including comparisons with constraints derived from cross-correlations only, and comparisons designed to test the robustness of the galaxy lensing and clustering measurements from DES. Applying these tests to our measurements, we find no evidence of significant biases in the baseline cosmological constraints from the DES-only analyses or from the joint analyses with CMB lensing cross-correlations. However, the CMB lensing cross-correlations suggest possible problems with the correlation function measurements using alternative lens galaxy samples, in particular the redMaGiC galaxies and high-redshift MagLim galaxies, consistent with the findings of previous studies. We use the CMB lensing cross-correlations to identify directions for further investigating these problems., Comment: 20 pages, 15 figures
Published: 2022
Full Text: View/download PDF

36. Using Host Galaxy Spectroscopy to Explore Systematics in the Standardisation of Type Ia Supernovae

Author: Dixon, M., Lidman, C., Mould, J., Kelsey, L., Brout, D., Möller, A., Wiseman, P., Sullivan, M., Galbany, L., Davis, T. M., Vincenzi, M., Scolnic, D., Lewis, G. F., Smith, M., Kessler, R., Duffy, A., Taylor, E., Flynn, C., Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveir, F., Annis, J., Asorey, J., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carollo, D., Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gatti, M., Gerdes, D. W., Glazebrook, K., Gruen, D., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kuehn, K., Kuropatkin, N., Malik, U., March, M., Menanteau, F., Miquel, R., Morgan, R., Nichol, B., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Rodriguez-Monroy, M., Romer, A. K., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Soares-Santos, M., Suchyta, E., Tarle, G., To, C., Tucker, B. E., Tucker, D. L., Varga, T. N., Dixon, M., Lidman, C., Mould, J., Kelsey, L., Brout, D., Möller, A., Wiseman, P., Sullivan, M., Galbany, L., Davis, T. M., Vincenzi, M., Scolnic, D., Lewis, G. F., Smith, M., Kessler, R., Duffy, A., Taylor, E., Flynn, C., Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveir, F., Annis, J., Asorey, J., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carollo, D., Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gatti, M., Gerdes, D. W., Glazebrook, K., Gruen, D., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kuehn, K., Kuropatkin, N., Malik, U., March, M., Menanteau, F., Miquel, R., Morgan, R., Nichol, B., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Rodriguez-Monroy, M., Romer, A. K., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Soares-Santos, M., Suchyta, E., Tarle, G., To, C., Tucker, B. E., Tucker, D. L., and Varga, T. N.
Abstract: We use stacked spectra of the host galaxies of photometrically identified type Ia supernovae (SNe Ia) from the Dark Energy Survey (DES) to search for correlations between Hubble diagram residuals and the spectral properties of the host galaxies. Utilising full spectrum fitting techniques on stacked spectra binned by Hubble residual, we find no evidence for trends between Hubble residuals and properties of the host galaxies that rely on spectral absorption features ($< 1.3\sigma$), such as stellar population age, metallicity, and mass-to-light ratio. However, we find significant trends between the Hubble residuals and the strengths of [OII] ($4.4\sigma$) and the Balmer emission lines ($3\sigma$). These trends are weaker than the well known trend between Hubble residuals and host galaxy stellar mass ($7.2\sigma$) that is derived from broad band photometry. After light curve corrections, we see fainter SNe Ia residing in galaxies with larger line strengths. We also find a trend (3$\sigma$) between Hubble residual and the Balmer decrement (a measure of reddening by dust) using H${\beta}$ and H${\gamma}$. The trend, quantified by correlation coefficients, is slightly more significant in the redder SNe Ia, suggesting that bluer SNe Ia are relatively unaffected by dust in the interstellar medium of the host and that dust contributes to current Hubble diagram scatter impacting the measurement of cosmological parameters., Comment: 15 pages, 10 figures. Accepted for publication in MNRAS
Published: 2022
Full Text: View/download PDF

37. DeepZipper II: Searching for Lensed Supernovae in Dark Energy Survey Data with Deep Learning

Author: Morgan, Robert, Nord, B., Bechtol, K., Möller, A., Hartley, W. G., Birrer, S., González, S. J., Martinez, M., Gruendl, R. A., Buckley-Geer, E. J., Shajib, A. J., Rosell, A. Carnero, Lidman, C., Collett, T., Abbott, T. M. C., Aguena, M., Andrade-Oliveira, F., Annis, J., Bacon, D., Bocquet, S., Brooks, D., Burke, D. L., Kind, M. Carrasco, Carretero, J., Castander, F. J., Conselice, C., da Costa, L. N., Costanzi, M., De Vicente, J., Desai, S., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruen, D., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., Menanteau, F., Miquel, R., Palmese, A., Paz-Chinchón, F., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Prat, J., Rodriguez-Monroy, M., Romer, A. K., Roodman, A., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Varga, T. N., Morgan, Robert, Nord, B., Bechtol, K., Möller, A., Hartley, W. G., Birrer, S., González, S. J., Martinez, M., Gruendl, R. A., Buckley-Geer, E. J., Shajib, A. J., Rosell, A. Carnero, Lidman, C., Collett, T., Abbott, T. M. C., Aguena, M., Andrade-Oliveira, F., Annis, J., Bacon, D., Bocquet, S., Brooks, D., Burke, D. L., Kind, M. Carrasco, Carretero, J., Castander, F. J., Conselice, C., da Costa, L. N., Costanzi, M., De Vicente, J., Desai, S., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruen, D., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., Menanteau, F., Miquel, R., Palmese, A., Paz-Chinchón, F., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Prat, J., Rodriguez-Monroy, M., Romer, A. K., Roodman, A., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., and Varga, T. N.
Abstract: Gravitationally lensed supernovae (LSNe) are important probes of cosmic expansion, but they remain rare and difficult to find. Current cosmic surveys likely contain and 5-10 LSNe in total while next-generation experiments are expected to contain several hundreds to a few thousands of these systems. We search for these systems in observed Dark Energy Survey (DES) 5-year SN fields -- 10 3-sq. deg. regions of sky imaged in the $griz$ bands approximately every six nights over five years. To perform the search, we utilize the DeepZipper approach: a multi-branch deep learning architecture trained on image-level simulations of LSNe that simultaneously learns spatial and temporal relationships from time series of images. We find that our method obtains a LSN recall of 61.13% and a false positive rate of 0.02% on the DES SN field data. DeepZipper selected 2,245 candidates from a magnitude-limited ($m_i$ $<$ 22.5) catalog of 3,459,186 systems. We employ human visual inspection to review systems selected by the network and find three candidate LSNe in the DES SN fields., Comment: Accepted by ApJ
Published: 2022
Full Text: View/download PDF

38. The DECam Local Volume Exploration Survey Data Release 2

Author: Drlica-Wagner, A., Ferguson, P. S., Adamów, M., Aguena, M., Andrade-Oliveira, F., Bacon, D., Bechtol, K., Bell, E. F., Bertin, E., Bilaji, P., Bocquet, S., Bom, C. R., Brooks, D., Burke, D. L., Carballo-Bello, J. A., Carlin, J. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cerny, W., Chang, C., Choi, Y., Conselice, C., Costanzi, M., Crnojević, D., da Costa, L. N., De Vicente, J., Desai, S., Esteves, J., Everett, S., Ferrero, I., Fitzpatrick, M., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Hartley, W. G., Hernandez-Lang, D., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hughes, A. K., Jacques, A., James, D. J., Johnson, M. D., Kuehn, K., Kuropatkin, N., Lahav, O., Li, T. S., Lidman, C., Lin, H., March, M., Marshall, J. L., Martínez-Delgado, D., Martínez-Vázquez, C. E., Massana, P., Mau, S., McNanna, M., Melchior, P., Menanteau, F., Miller, A. E., Miquel, R., Mohr, J. J., Morgan, R., Mutlu-Pakdil, B., Muñoz, R. R., Neilsen, E. H., Nidever, D. L., Nikutta, R., Castellon, J. L. Nilo, Noël, N. E. D., Ogando, R. L. C., Olsen, K. A. G., Pace, A. B., Palmese, A., Paz-Chinchón, F., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Prat, J., Riley, A. H., Rodriguez-Monroy, M., Romer, A. K., Roodman, A., Sako, M., Sakowska, J. D., Sanchez, E., Sánchez, F. J., Sand, D. J., Santana-Silva, L., Santiago, B., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Simon, J. D., Smith, M., Soares-Santos, M., Stringfellow, G. S., Suchyta, E., Suson, D. J., Tan, C. Y., Tarle, G., Tavangar, K., Thomas, D., To, C., Tollerud, E. J., Troxel, M. A., Tucker, D. L., Varga, T. N., Vivas, A. K., Walker, A. R., Weller, J., Wilkinson, R. D., Wu, J. F., Yanny, B., Zaborowski, E., Zenteno, A., Drlica-Wagner, A., Ferguson, P. S., Adamów, M., Aguena, M., Andrade-Oliveira, F., Bacon, D., Bechtol, K., Bell, E. F., Bertin, E., Bilaji, P., Bocquet, S., Bom, C. R., Brooks, D., Burke, D. L., Carballo-Bello, J. A., Carlin, J. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cerny, W., Chang, C., Choi, Y., Conselice, C., Costanzi, M., Crnojević, D., da Costa, L. N., De Vicente, J., Desai, S., Esteves, J., Everett, S., Ferrero, I., Fitzpatrick, M., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Hartley, W. G., Hernandez-Lang, D., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hughes, A. K., Jacques, A., James, D. J., Johnson, M. D., Kuehn, K., Kuropatkin, N., Lahav, O., Li, T. S., Lidman, C., Lin, H., March, M., Marshall, J. L., Martínez-Delgado, D., Martínez-Vázquez, C. E., Massana, P., Mau, S., McNanna, M., Melchior, P., Menanteau, F., Miller, A. E., Miquel, R., Mohr, J. J., Morgan, R., Mutlu-Pakdil, B., Muñoz, R. R., Neilsen, E. H., Nidever, D. L., Nikutta, R., Castellon, J. L. Nilo, Noël, N. E. D., Ogando, R. L. C., Olsen, K. A. G., Pace, A. B., Palmese, A., Paz-Chinchón, F., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Prat, J., Riley, A. H., Rodriguez-Monroy, M., Romer, A. K., Roodman, A., Sako, M., Sakowska, J. D., Sanchez, E., Sánchez, F. J., Sand, D. J., Santana-Silva, L., Santiago, B., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Simon, J. D., Smith, M., Soares-Santos, M., Stringfellow, G. S., Suchyta, E., Suson, D. J., Tan, C. Y., Tarle, G., Tavangar, K., Thomas, D., To, C., Tollerud, E. J., Troxel, M. A., Tucker, D. L., Varga, T. N., Vivas, A. K., Walker, A. R., Weller, J., Wilkinson, R. D., Wu, J. F., Yanny, B., Zaborowski, E., and Zenteno, A.
Abstract: We present the second public data release (DR2) from the DECam Local Volume Exploration survey (DELVE). DELVE DR2 combines new DECam observations with archival DECam data from the Dark Energy Survey, the DECam Legacy Survey, and other DECam community programs. DELVE DR2 consists of ~160,000 exposures that cover >21,000 deg^2 of the high Galactic latitude (|b| > 10 deg) sky in four broadband optical/near-infrared filters (g, r, i, z). DELVE DR2 provides point-source and automatic aperture photometry for ~2.5 billion astronomical sources with a median 5{\sigma} point-source depth of g=24.3, r=23.9, i=23.5, and z=22.8 mag. A region of ~17,000 deg^2 has been imaged in all four filters, providing four-band photometric measurements for ~618 million astronomical sources. DELVE DR2 covers more than four times the area of the previous DELVE data release and contains roughly five times as many astronomical objects. DELVE DR2 is publicly available via the NOIRLab Astro Data Lab science platform., Comment: 23 pages, 10 figures, 5 tables; to be submitted to AAS Journals; public data release at https://datalab.noirlab.edu/delve/. arXiv admin note: substantial text overlap with arXiv:2103.07476
Published: 2022
Full Text: View/download PDF

39. Measuring Cosmological Parameters with Type Ia Supernovae in redMaGiC galaxies

Author: Chen, R., Scolnic, D., Rozo, E., Rykoff, E. S., Popovic, B., Kessler, R., Vincenzi, M., Davis, T. M., Armstrong, P., Brout, D., Galbany, L., Kelsey, L., Lidman, C., Möller, A., Rose, B., Sako, M., Sullivan, M., Taylor, G., Wiseman, P., Asorey, J., Carr, A., Conselice, C., Kuehn, K., Lewis, G. F., Macaulay, E., Rodriguez-Monroy, M., Tucker, B. E., Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveira, F., Annis, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Cawthon, R., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Gruen, D., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Lahav, O., Lima, M., March, M., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Prat, J., Romer, A. K., Roodman, A., Sanchez, E., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Tucker, D. L., Varga, T. N., Chen, R., Scolnic, D., Rozo, E., Rykoff, E. S., Popovic, B., Kessler, R., Vincenzi, M., Davis, T. M., Armstrong, P., Brout, D., Galbany, L., Kelsey, L., Lidman, C., Möller, A., Rose, B., Sako, M., Sullivan, M., Taylor, G., Wiseman, P., Asorey, J., Carr, A., Conselice, C., Kuehn, K., Lewis, G. F., Macaulay, E., Rodriguez-Monroy, M., Tucker, B. E., Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveira, F., Annis, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Cawthon, R., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Gruen, D., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Lahav, O., Lima, M., March, M., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Prat, J., Romer, A. K., Roodman, A., Sanchez, E., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Tucker, D. L., and Varga, T. N.
Abstract: Current and future cosmological analyses with Type Ia Supernovae (SNe Ia) face three critical challenges: i) measuring redshifts from the supernova or its host galaxy; ii) classifying SNe without spectra; and iii) accounting for correlations between the properties of SNe Ia and their host galaxies. We present here a novel approach that addresses each challenge. In the context of the Dark Energy Survey (DES), we analyze a SNIa sample with host galaxies in the redMaGiC galaxy catalog, a selection of Luminous Red Galaxies. Photo-$z$ estimates for these galaxies are expected to be accurate to $\sigma_{\Delta z/(1+z)}\sim0.02$. The DES-5YR photometrically classified SNIa sample contains approximately 1600 SNe and 125 of these SNe are in redMaGiC galaxies. We demonstrate that redMaGiC galaxies almost exclusively host SNe Ia, reducing concerns with classification uncertainties. With this subsample, we find similar Hubble scatter (to within $\sim0.01$ mag) using photometric redshifts in place of spectroscopic redshifts. With detailed simulations, we show the bias due to using photo-$z$s from redMaGiC host galaxies on the measurement of the dark energy equation-of-state $w$ is up to $\Delta w \sim 0.01-0.02$. With real data, we measure a difference in $w$ when using redMaGiC photometric redshifts versus spectroscopic redshifts of $\Delta w = 0.005$. Finally, we discuss how SNe in redMaGiC galaxies appear to be a more standardizable population due to a weaker relation between color and luminosity ($\beta$) compared to the DES-3YR population by $\sim5\sigma$; this finding is consistent with predictions that redMaGiC galaxies exhibit lower reddening ratios ($\textrm{R}_\textrm{V}$) than the general population of SN host galaxies. These results establish the feasibility of performing redMaGiC SN cosmology with photometric survey data in the absence of spectroscopic data., Comment: 15 pages, 8 figures. Submitting to ApJ, comments welcome
Published: 2022
Full Text: View/download PDF

40. The Dark Energy Survey 5-year photometrically identified Type Ia Supernovae

Author: Möller, A., Smith, M., Sako, M., Sullivan, M., Vincenzi, M., Wiseman, P., Armstrong, P., Asorey, J., Brout, D., Carollo, D., Davis, T. M., Frohmaier, C., Galbany, L., Glazebrook, K., Kelsey, L., Kessler, R., Lewis, G. F., Lidman, C., Malik, U., Nichol, R. C., Scolnic, D., Tucker, B. E., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Finley, D. A., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., March, M., Marshall, J. L., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Roodman, A., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Suchyta, E., Tarle, G., Thomas, D., To, C., Varga, T. N., Möller, A., Smith, M., Sako, M., Sullivan, M., Vincenzi, M., Wiseman, P., Armstrong, P., Asorey, J., Brout, D., Carollo, D., Davis, T. M., Frohmaier, C., Galbany, L., Glazebrook, K., Kelsey, L., Kessler, R., Lewis, G. F., Lidman, C., Malik, U., Nichol, R. C., Scolnic, D., Tucker, B. E., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Finley, D. A., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., March, M., Marshall, J. L., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Roodman, A., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Suchyta, E., Tarle, G., Thomas, D., To, C., and Varga, T. N.
Abstract: As part of the cosmology analysis using Type Ia Supernovae (SN Ia) in the Dark Energy Survey (DES), we present photometrically identified SN Ia samples using multi-band light-curves and host galaxy redshifts. For this analysis, we use the photometric classification framework SuperNNova (SNN; M\"oller et al. 2019) trained on realistic DES-like simulations. For reliable classification, we process the DES SN programme (DES-SN) data and introduce improvements to the classifier architecture, obtaining classification accuracies of more than 98 per cent on simulations. This is the first SN classification to make use of ensemble methods, resulting in more robust samples. Using photometry, host galaxy redshifts, and a classification probability requirement, we identify 1,863 SNe Ia from which we select 1,484 cosmology-grade SNe Ia spanning the redshift range of 0.07 < z < 1.14. We find good agreement between the light-curve properties of the photometrically-selected sample and simulations. Additionally, we create similar SN Ia samples using two types of Bayesian Neural Network classifiers that provide uncertainties on the classification probabilities. We test the feasibility of using these uncertainties as indicators for out-of-distribution candidates and model confidence. Finally, we discuss the implications of photometric samples and classification methods for future surveys such as Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST)., Comment: 18 pages, 8 figures. Accepted in MNRAS
Published: 2022
Full Text: View/download PDF

41. Optical Variability of Quasars with 20-Year Photometric Light Curves

Author: Stone, Zachary, Shen, Yue, Burke, Colin J., Chen, Yu-Ching, Yang, Qian, Liu, Xin, Gruendl, R. A., Adamów, M., Andrade-Oliveira, F., Annis, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Ferrero, I., Friedel, D. N., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruen, D., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lidman, C., Maia, M. A. G., Menanteau, F., Miquel, R., Morgan, R., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Rodriguez-Monroy, M., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarlé, G., To, C., Stone, Zachary, Shen, Yue, Burke, Colin J., Chen, Yu-Ching, Yang, Qian, Liu, Xin, Gruendl, R. A., Adamów, M., Andrade-Oliveira, F., Annis, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Ferrero, I., Friedel, D. N., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruen, D., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lidman, C., Maia, M. A. G., Menanteau, F., Miquel, R., Morgan, R., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Rodriguez-Monroy, M., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarlé, G., and To, C.
Abstract: We study the optical $gri$ photometric variability of a sample of 190 quasars within the SDSS Stripe 82 region that have long-term photometric coverage during $\sim 1998-2020$ with SDSS, PanSTARRS-1, the Dark Energy Survey, and dedicated follow-up monitoring with Blanco 4m/DECam. With on average $\sim 200$ nightly epochs per quasar per filter band, we improve the parameter constraints from a Damped Random Walk (DRW) model fit to the light curves over previous studies with 10-15 yr baselines and $\lesssim 100$ epochs. We find that the average damping timescale $\tau_{\rm DRW}$ continues to rise with increased baseline, reaching a median value of $\sim 750$ days ($g$ band) in the rest-frame of these quasars using the 20-yr light curves. Some quasars may have gradual, long-term trends in their light curves, suggesting that either the DRW fit requires very long baselines to converge, or that the underlying variability is more complex than a single DRW process for these quasars. Using a subset of quasars with better-constrained $\tau_{\rm DRW}$ (less than 20\% of the baseline), we confirm a weak wavelength dependence of $\tau_{\rm DRW}\propto \lambda^{0.51\pm0.20}$. We further quantify optical variability of these quasars over days to decades timescales using structure function (SF) and power spectrum density (PSD) analyses. The SF and PSD measurements qualitatively confirm the measured (hundreds of days) damping timescales from the DRW fits. However, the ensemble PSD is steeper than that of a DRW on timescales less than $\sim$ a month for these luminous quasars, and this second break point correlates with the longer DRW damping timescale., Comment: 20 pages, 24 figures
Published: 2022
Full Text: View/download PDF

42. Superluminous supernovae from the Dark Energy Survey

Author: Angus, CR, Angus, CR, Smith, M, Sullivan, M, Inserra, C, Wiseman, P, D’Andrea, CB, Thomas, BP, Nichol, RC, Galbany, L, Childress, M, Asorey, J, Brown, PJ, Casas, R, Castander, FJ, Curtin, C, Frohmaier, C, Glazebrook, K, Gruen, D, Gutierrez, C, Kessler, R, Kim, AG, Lidman, C, Macaulay, E, Nugent, P, Pursiainen, M, Sako, M, Soares-Santos, M, Thomas, RC, Abbott, TMC, Avila, S, Bertin, E, Brooks, D, Buckley-Geer, E, Burke, DL, Carnero Rosell, A, Carretero, J, da Costa, LN, de Vicente, J, Desai, S, Diehl, HT, Doel, P, Eifler, TF, Flaugher, B, Fosalba, P, Frieman, J, García-Bellido, J, Gruendl, RA, Gschwend, J, Hartley, WG, Hollowood, DL, Honscheid, K, Hoyle, B, James, DJ, Kuehn, K, Kuropatkin, N, Lahav, O, Lima, M, Maia, MAG, March, M, Marshall, JL, Menanteau, F, Miller, CJ, Miquel, R, Ogando, RLC, Plazas, AA, Romer, AK, Sanchez, E, Schindler, R, Schubnell, M, Sobreira, F, Suchyta, E, Swanson, MEC, Tarle, G, Thomas, D, Tucker, DL, Angus, CR, Angus, CR, Smith, M, Sullivan, M, Inserra, C, Wiseman, P, D’Andrea, CB, Thomas, BP, Nichol, RC, Galbany, L, Childress, M, Asorey, J, Brown, PJ, Casas, R, Castander, FJ, Curtin, C, Frohmaier, C, Glazebrook, K, Gruen, D, Gutierrez, C, Kessler, R, Kim, AG, Lidman, C, Macaulay, E, Nugent, P, Pursiainen, M, Sako, M, Soares-Santos, M, Thomas, RC, Abbott, TMC, Avila, S, Bertin, E, Brooks, D, Buckley-Geer, E, Burke, DL, Carnero Rosell, A, Carretero, J, da Costa, LN, de Vicente, J, Desai, S, Diehl, HT, Doel, P, Eifler, TF, Flaugher, B, Fosalba, P, Frieman, J, García-Bellido, J, Gruendl, RA, Gschwend, J, Hartley, WG, Hollowood, DL, Honscheid, K, Hoyle, B, James, DJ, Kuehn, K, Kuropatkin, N, Lahav, O, Lima, M, Maia, MAG, March, M, Marshall, JL, Menanteau, F, Miller, CJ, Miquel, R, Ogando, RLC, Plazas, AA, Romer, AK, Sanchez, E, Schindler, R, Schubnell, M, Sobreira, F, Suchyta, E, Swanson, MEC, Tarle, G, Thomas, D, and Tucker, DL
Abstract: We present a sample of 21 hydrogen-free superluminous supernovae (SLSNe-I) and one hydrogen-rich SLSN (SLSN-II) detected during the five-year Dark Energy Survey (DES). These SNe, located in the redshift range 0.220 < z < 1.998, represent the largest homogeneously selected sample of SLSN events at high redshift. We present the observed g, r, i, z light curves for these SNe, which we interpolate using Gaussian processes. The resulting light curves are analysed to determine the luminosity function of SLSNe-I, and their evolutionary timescales. The DES SLSN-I sample significantly broadens the distribution of SLSN-I light-curve properties when combined with existing samples from the literature. We fit a magnetar model to our SLSNe, and find that this model alone is unable to replicate the behaviour of many of the bolometric light curves. We search the DES SLSN-I light curves for the presence of initial peaks prior to the main light-curve peak. Using a shock breakout model, our Monte Carlo search finds that 3 of our 14 events with pre-max data display such initial peaks. However, 10 events show no evidence for such peaks, in some cases down to an absolute magnitude of <−16, suggesting that such features are not ubiquitous to all SLSN-I events. We also identify a red pre-peak feature within the light curve of one SLSN, which is comparable to that observed within SN2018bsz.
Published: 2021

43. Deep Extragalactic VIsible Legacy Survey (DEVILS): Evolution of the $\sigma_{\mathrm{SFR}}$-M$_{\star}$ relation and implications for self-regulated star formation

Author: Davies, L. J. M., Thorne, J. E., Bellstedt, S., Bravo, M., Robotham, A. S. G., Driver, S. P., Cook, R. H. W., Cortese, L., D'Silva, J., Grootes, M. W., Holwerda, B. W., Hopkins, A. M., Jarvis, M. J., Lidman, C., Phillipps, S., Siudek, M., Davies, L. J. M., Thorne, J. E., Bellstedt, S., Bravo, M., Robotham, A. S. G., Driver, S. P., Cook, R. H. W., Cortese, L., D'Silva, J., Grootes, M. W., Holwerda, B. W., Hopkins, A. M., Jarvis, M. J., Lidman, C., Phillipps, S., and Siudek, M.
Abstract: We present the evolution of the star-formation dispersion - stellar mass relation ($\sigma_{SFR}$-M$_{\star}$) in the DEVILS D10 region using new measurements derived using the ProSpect spectral energy distribution fitting code. We find that $\sigma_{SFR}$-M$_{\star}$ shows the characteristic 'U-shape' at intermediate stellar masses from 0.1
Published: 2021
Full Text: View/download PDF

44. The Dark Energy Survey Supernova Program: Cosmological biases from supernova photometric classification

Author: Vincenzi, M., Sullivan, M., Möller, A., Armstrong, P., Bassett, B. A., Brout, D., Carollo, D., Carr, A., Davis, T. M., Frohmaier, C., Galbany, L., Glazebrook, K., Graur, O., Kelsey, L., Kessler, R., Kovacs, E., Lewis, G. F., Lidman, C., Malik, U., Nichol, R. C., Popovic, B., Sako, M., Scolnic, D., Smith, M., Taylor, G., Tucker, B. E., Wiseman, P., Aguena, M., Allam, S., Annis, J., Asorey, J., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., Castander, F. J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruen, D., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., Li, T. S., Lima, M., Maia, M. A. G., Marshall, J. L., Miquel, R., Morgan, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Reil, K., Roodman, A., Sanchez, E., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Suchyta, E., Tarle, G., To, C., Varga, T. N., Weller, J., Wilkinson, R. D., Vincenzi, M., Sullivan, M., Möller, A., Armstrong, P., Bassett, B. A., Brout, D., Carollo, D., Carr, A., Davis, T. M., Frohmaier, C., Galbany, L., Glazebrook, K., Graur, O., Kelsey, L., Kessler, R., Kovacs, E., Lewis, G. F., Lidman, C., Malik, U., Nichol, R. C., Popovic, B., Sako, M., Scolnic, D., Smith, M., Taylor, G., Tucker, B. E., Wiseman, P., Aguena, M., Allam, S., Annis, J., Asorey, J., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., Castander, F. J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruen, D., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., Li, T. S., Lima, M., Maia, M. A. G., Marshall, J. L., Miquel, R., Morgan, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Reil, K., Roodman, A., Sanchez, E., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Suchyta, E., Tarle, G., To, C., Varga, T. N., Weller, J., and Wilkinson, R. D.
Abstract: Cosmological analyses of samples of photometrically-identified Type Ia supernovae (SNe Ia) depend on understanding the effects of 'contamination' from core-collapse and peculiar SN Ia events. We employ a rigorous analysis on state-of-the-art simulations of photometrically identified SN Ia samples and determine cosmological biases due to such 'non-Ia' contamination in the Dark Energy Survey (DES) 5-year SN sample. As part of the analysis, we test on our DES simulations the performance of SuperNNova, a photometric SN classifier based on recurrent neural networks. Depending on the choice of non-Ia SN models in both the simulated data sample and training sample, contamination ranges from 0.8-3.5 %, with the efficiency of the classification from 97.7-99.5 %. Using the Bayesian Estimation Applied to Multiple Species (BEAMS) framework and its extension 'BEAMS with Bias Correction' (BBC), we produce a redshift-binned Hubble diagram marginalised over contamination and corrected for selection effects and we use it to constrain the dark energy equation-of-state, $w$. Assuming a flat universe with Gaussian $\Omega_M$ prior of $0.311\pm0.010$, we show that biases on $w$ are $<0.008$ when using SuperNNova and accounting for a wide range of non-Ia SN models in the simulations. Systematic uncertainties associated with contamination are estimated to be at most $\sigma_{w, \mathrm{syst}}=0.004$. This compares to an expected statistical uncertainty of $\sigma_{w,\mathrm{stat}}=0.039$ for the DES-SN sample, thus showing that contamination is not a limiting uncertainty in our analysis. We also measure biases due to contamination on $w_0$ and $w_a$ (assuming a flat universe), and find these to be $<$0.009 in $w_0$ and $<$0.108 in $w_a$, hence 5 to 10 times smaller than the statistical uncertainties expected from the DES-SN sample.
Published: 2021

45. Dark Energy Survey Year 3 results: cosmology with moments of weak lensing mass maps

Author: Gatti, M., Jain, B., Chang, C., Raveri, M., Zürcher, D., Secco, L., Whiteway, L., Jeffrey, N., Doux, C., Kacprzak, T., Bacon, D., Fosalba, P., Alarcon, A., Amon, A., Bechtol, K., Becker, M., Bernstein, G., Blazek, J., Campos, A., Choi, A., Davis, C., Derose, J., Dodelson, S., Elsner, F., Elvin-Poole, J., Everett, S., Ferte, A., Gruen, D., Harrison, I., Huterer, D., Jarvis, M., Krause, E., Leget, P. F., Lemos, P., Maccrann, N., Mccullough, J., Muir, J., Myles, J., Navarro, A., Pandey, S., Prat, J., Rollins, R. P., Roodman, A., Sanchez, C., Sheldon, E., Shin, T., Troxel, M., Tutusaus, I., Yin, B., Aguena, M., Allam, S., Andrade-Oliveira, F., Anni, J., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Cawthon, R., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Drlica-Wagner, A., Eckert, K., Evrard, A. E., Ferrero, I., García-Bellido, J., Gaztanaga, E., Giannantonio, T., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Laha, O., Lidman, C., Maia, M. A. G., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Reil, K., Rodriguez-Monroyv, M., Romer, A. K., Sanchez, E., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Varga, T. N., Gatti, M., Jain, B., Chang, C., Raveri, M., Zürcher, D., Secco, L., Whiteway, L., Jeffrey, N., Doux, C., Kacprzak, T., Bacon, D., Fosalba, P., Alarcon, A., Amon, A., Bechtol, K., Becker, M., Bernstein, G., Blazek, J., Campos, A., Choi, A., Davis, C., Derose, J., Dodelson, S., Elsner, F., Elvin-Poole, J., Everett, S., Ferte, A., Gruen, D., Harrison, I., Huterer, D., Jarvis, M., Krause, E., Leget, P. F., Lemos, P., Maccrann, N., Mccullough, J., Muir, J., Myles, J., Navarro, A., Pandey, S., Prat, J., Rollins, R. P., Roodman, A., Sanchez, C., Sheldon, E., Shin, T., Troxel, M., Tutusaus, I., Yin, B., Aguena, M., Allam, S., Andrade-Oliveira, F., Anni, J., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Cawthon, R., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Drlica-Wagner, A., Eckert, K., Evrard, A. E., Ferrero, I., García-Bellido, J., Gaztanaga, E., Giannantonio, T., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Laha, O., Lidman, C., Maia, M. A. G., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Reil, K., Rodriguez-Monroyv, M., Romer, A. K., Sanchez, E., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., Thomas, D., To, C., and Varga, T. N.
Abstract: We present a cosmological analysis using the second and third moments of the weak lensing mass (convergence) maps from the first three years of data (Y3) data of the Dark Energy Survey (DES). The survey spans an effective area of 4139 square degrees and uses the images of over 100 million galaxies to reconstruct the convergence field. The second moment of the convergence as a function of smoothing scale contains information similar to standard shear 2-point statistics. The third moment, or the skewness, contains additional non-Gaussian information. The data is analysed in the context of the $\Lambda$CDM model, varying 5 cosmological parameters and 19 nuisance parameters modelling astrophysical and measurement systematics. Our modelling of the observables is completely analytical, and has been tested with simulations in our previous methodology study. We obtain a 1.7\% measurement of the amplitude of fluctuations parameter $S_8\equiv \sigma_8 (\Omega_m/0.3)^{0.5} = 0.784\pm 0.013$. The measurements are shown to be internally consistent across redshift bins, angular scales, and between second and third moments. In particular, the measured third moment is consistent with the expectation of gravitational clustering under the $\Lambda$CDM model. The addition of the third moment improves the constraints on $S_8$ and $\Omega_{\rm m}$ by $\sim$15\% and $\sim$25\% compared to an analysis that only uses second moments. We compare our results with {\it Planck} constraints from the Cosmic Microwave Background (CMB), finding a $2.2$ \textendash $2.8\sigma$ tension in the full parameter space, depending on the combination of moments considered. The third moment independently is in $2.8\sigma$ tension with {\it Planck}, and thus provides a cross-check on analyses of 2-point correlations., Comment: 27 pages, 20 figures, to be submitted to MNRAS. Comments welcome!
Published: 2021

46. Dark Energy Survey Year 3 results: Cosmology with peaks using an emulator approach

Author: Zürcher, D., Fluri, J., Sgier, R., Kacprzak, T., Gatti, M., Doux, C., Whiteway, L., Refregier, A., Chang, C., Jeffrey, N., Jain, B., Lemos, P., Bacon, D., Alarcon, A., Amon, A., Bechtol, K., Becker, M., Bernstein, G., Campos, A., Chen, R., Choi, A., Davis, C., Derose, J., Dodelson, S., Elsner, F., Elvin-Poole, J., Everett, S., Ferte, A., Gruen, D., Harrison, I., Huterer, D., Jarvis, M., Leget, P. F., Maccrann, N., Mccullough, J., Muir, J., Myles, J., Alsina, A. Navarro, Pandey, S., Prat, J., Raveri, M., Rollins, R. P., Roodman, A., Sanchez, C., Secco, L. F., Sheldon, E., Shin, T., Troxel, M., Tutusaus, I., Yin, B., Aguena, M., Allam, S., Andrade-Oliveira, F., Annis, J., Bertin, E., Brooks, D., Burke, D., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F., Cawthon, R., Conselice, C., Costanzi, M., da Costa, L., Pereira, M. E. da Silva, Davis, T., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J., Doel, P., Eckert, K., Evrard, A., Ferrero, I., Flaugher, B., Fosalba, P., Friedel, D., Frieman, J., Garcia-Bellido, J., Gaztanaga, E., Gerdes, D., Giannantonio, T., Gruendl, R., Gschwend, J., Gutierrez, G., Hinton, S., Hollowood, D. L., Honscheid, K., Hoyle, B., James, D., Kuehn, K., Kuropatkin, N., Lahav, O., Lidman, C., Lima, M., Maia, M., Marshall, J., Melchior, P., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchon, F., Pieres, A., Malagón, A. Plazas, Reil, K., Monroy, M. Rodriguez, Romer, K., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla, I., Smith, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Varga, T. N., Weller, J., Wilkinson, R., Zürcher, D., Fluri, J., Sgier, R., Kacprzak, T., Gatti, M., Doux, C., Whiteway, L., Refregier, A., Chang, C., Jeffrey, N., Jain, B., Lemos, P., Bacon, D., Alarcon, A., Amon, A., Bechtol, K., Becker, M., Bernstein, G., Campos, A., Chen, R., Choi, A., Davis, C., Derose, J., Dodelson, S., Elsner, F., Elvin-Poole, J., Everett, S., Ferte, A., Gruen, D., Harrison, I., Huterer, D., Jarvis, M., Leget, P. F., Maccrann, N., Mccullough, J., Muir, J., Myles, J., Alsina, A. Navarro, Pandey, S., Prat, J., Raveri, M., Rollins, R. P., Roodman, A., Sanchez, C., Secco, L. F., Sheldon, E., Shin, T., Troxel, M., Tutusaus, I., Yin, B., Aguena, M., Allam, S., Andrade-Oliveira, F., Annis, J., Bertin, E., Brooks, D., Burke, D., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F., Cawthon, R., Conselice, C., Costanzi, M., da Costa, L., Pereira, M. E. da Silva, Davis, T., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J., Doel, P., Eckert, K., Evrard, A., Ferrero, I., Flaugher, B., Fosalba, P., Friedel, D., Frieman, J., Garcia-Bellido, J., Gaztanaga, E., Gerdes, D., Giannantonio, T., Gruendl, R., Gschwend, J., Gutierrez, G., Hinton, S., Hollowood, D. L., Honscheid, K., Hoyle, B., James, D., Kuehn, K., Kuropatkin, N., Lahav, O., Lidman, C., Lima, M., Maia, M., Marshall, J., Melchior, P., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchon, F., Pieres, A., Malagón, A. Plazas, Reil, K., Monroy, M. Rodriguez, Romer, K., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla, I., Smith, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Varga, T. N., Weller, J., and Wilkinson, R.
Abstract: We constrain the matter density $\Omega_{\mathrm{m}}$ and the amplitude of density fluctuations $\sigma_8$ within the $\Lambda$CDM cosmological model with shear peak statistics and angular convergence power spectra using mass maps constructed from the first three years of data of the Dark Energy Survey (DES Y3). We use tomographic shear peak statistics, including cross-peaks: peak counts calculated on maps created by taking a harmonic space product of the convergence of two tomographic redshift bins. Our analysis follows a forward-modelling scheme to create a likelihood of these statistics using N-body simulations, using a Gaussian process emulator. We include the following lensing systematics: multiplicative shear bias, photometric redshift uncertainty, and galaxy intrinsic alignment. Stringent scale cuts are applied to avoid biases from unmodelled baryonic physics. We find that the additional non-Gaussian information leads to a tightening of the constraints on the structure growth parameter yielding $S_8~\equiv~\sigma_8\sqrt{\Omega_{\mathrm{m}}/0.3}~=~0.797_{-0.013}^{+0.015}$ (68% confidence limits), with a precision of 1.8%, an improvement of ~38% compared to the angular power spectra only case. The results obtained with the angular power spectra and peak counts are found to be in agreement with each other and no significant difference in $S_8$ is recorded. We find a mild tension of $1.5 \thinspace \sigma$ between our study and the results from Planck 2018, with our analysis yielding a lower $S_8$. Furthermore, we observe that the combination of angular power spectra and tomographic peak counts breaks the degeneracy between galaxy intrinsic alignment $A_{\mathrm{IA}}$ and $S_8$, improving cosmological constraints. We run a suite of tests concluding that our results are robust and consistent with the results from other studies using DES Y3 data.
Published: 2021
Full Text: View/download PDF

47. Multi-wavelength Optical and NIR Variability Analysis of the Blazar PKS 0027-426

Author: Guise, E., Hönig, S. F., Almeyda, T., Horne, K., Kishimoto, M., Aguena, M., Allam, S., Andrade-Oliveira, F., Asorey, J., Banerji, M., Bertin, E., Boulderstone, B., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carollo, D., Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., Davis, T. M., De Vicente, J., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Frieman, J., Gandhi, P., Goad, M., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Johnson, M. A. C., Kuehn, K., Lewis, G. F., Lidman, C., Lima, M., Maia, M. A. G., Malik, U., Menanteau, F., Miquel, R., Morgan, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Seymour, N., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Tucker, B. E., Guise, E., Hönig, S. F., Almeyda, T., Horne, K., Kishimoto, M., Aguena, M., Allam, S., Andrade-Oliveira, F., Asorey, J., Banerji, M., Bertin, E., Boulderstone, B., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carollo, D., Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., Davis, T. M., De Vicente, J., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Frieman, J., Gandhi, P., Goad, M., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Johnson, M. A. C., Kuehn, K., Lewis, G. F., Lidman, C., Lima, M., Maia, M. A. G., Malik, U., Menanteau, F., Miquel, R., Morgan, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Seymour, N., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., and Tucker, B. E.
Abstract: We present multi-wavelength spectral and temporal variability analysis of PKS 0027-426 using optical griz observations from DES (Dark Energy Survey) between 2013-2018 and VOILETTE (VEILS Optical Light curves of Extragalactic TransienT Events) between 2018-2019 and near infrared (NIR) JKs observations from VEILS (VISTAExtragalactic Infrared Legacy Survey) between 2017-2019. Multiple methods of cross-correlation of each combination of light curve provides measurements of possible lags between optical-optical, optical-NIR, and NIR-NIR emission, for each observation season and for the entire observational period. Inter-band time lag measurements consistently suggest either simultaneous emission or delays between emission regions on timescales smaller than the cadences of observations. The colour-magnitude relation between each combination of filters was also studied to determine the spectral behaviour of PKS 0027-426. Our results demonstrate complex colour behaviour that changes between bluer when brighter (BWB), stable when brighter (SWB) and redder when brighter (RWB) trends over different timescales and using different combinations of optical filters. Additional analysis of the optical spectra is performed to provide further understanding of this complex spectral behaviour., Comment: Accepted for publication in MNRAS. 33 pages, 28 figures, 11 tables
Published: 2021
Full Text: View/download PDF

48. SN2017jgh - A high-cadence complete shock cooling lightcurve of a SN IIb with the Kepler telescope

Author: Armstrong, P., Tucker, B. E., Rest, A., Ridden-Harper, R., Zenati, Y., Piro, A. L., Hinton, S., Lidman, C., Margheim, S., Narayan, G., Shaya, E., Garnavich, P., Kasen, D., Villar, V., Zenteno, A., Arcavi, I., Drout, M., Foley, R. J., Wheeler, J., Anais, J., Campillay, A., Coulter, D., Dimitriadis, G., Jones, D., Kilpatrick, C. D., Muñoz-Elgueta, N., Rojas-Bravo, C., Vargas-González, J., Bulger, J., Chambers, K., Huber, M., Lowe, T., Magnier, E., Shappee, B. J., Smartt, S., Smith, K. W., Barclay, T., Barentsen, G., Dotson, J., Gully-Santiago, M., Hedges, C., Howell, S., Cody, A., Auchettl, K., Bódi, A., Bognár, Zs., Brimacombe, J., Brown, P., Cseh, B., Galbany, L., Hiramatsu, D., Holoien, T. W. -S., Howell, D. A., Jha, S. W., Könyves-Tóth, R., Kriskovics, L., McCully, C., Milne, P., Muñoz, J., Pan, Y., Pál, A., Sai, H., Sárneczky, K., Smith, N., Sódor, Á., Szabó, R., Szakáts, R., Valenti, S., Vinkó, J., Wang, X., Zhang, K., Zsidi, G., Armstrong, P., Tucker, B. E., Rest, A., Ridden-Harper, R., Zenati, Y., Piro, A. L., Hinton, S., Lidman, C., Margheim, S., Narayan, G., Shaya, E., Garnavich, P., Kasen, D., Villar, V., Zenteno, A., Arcavi, I., Drout, M., Foley, R. J., Wheeler, J., Anais, J., Campillay, A., Coulter, D., Dimitriadis, G., Jones, D., Kilpatrick, C. D., Muñoz-Elgueta, N., Rojas-Bravo, C., Vargas-González, J., Bulger, J., Chambers, K., Huber, M., Lowe, T., Magnier, E., Shappee, B. J., Smartt, S., Smith, K. W., Barclay, T., Barentsen, G., Dotson, J., Gully-Santiago, M., Hedges, C., Howell, S., Cody, A., Auchettl, K., Bódi, A., Bognár, Zs., Brimacombe, J., Brown, P., Cseh, B., Galbany, L., Hiramatsu, D., Holoien, T. W. -S., Howell, D. A., Jha, S. W., Könyves-Tóth, R., Kriskovics, L., McCully, C., Milne, P., Muñoz, J., Pan, Y., Pál, A., Sai, H., Sárneczky, K., Smith, N., Sódor, Á., Szabó, R., Szakáts, R., Valenti, S., Vinkó, J., Wang, X., Zhang, K., and Zsidi, G.
Abstract: SN 2017jgh is a type IIb supernova discovered by Pan-STARRS during the C16/C17 campaigns of the Kepler/K2 mission. Here we present the Kepler/K2 and ground based observations of SN 2017jgh, which captured the shock cooling of the progenitor shock breakout with an unprecedented cadence. This event presents a unique opportunity to investigate the progenitors of stripped envelope supernovae. By fitting analytical models to the SN 2017jgh lightcurve, we find that the progenitor of SN 2017jgh was likely a yellow supergiant with an envelope radius of $\sim50-290~R_{\odot}$, and an envelope mass of $\sim0-1.7~M_{\odot}$. SN 2017jgh likely had a shock velocity of $\sim7500-10300$ km s$^{-1}$. Additionally, we use the lightcurve of SN 2017jgh to investigate how early observations of the rise contribute to constraints on progenitor models. Fitting just the ground based observations, we find an envelope radius of $\sim50-330~R_{\odot}$, an envelope mass of $\sim0.3-1.7~M_{\odot}$ and a shock velocity of $\sim9,000-15,000$ km s$^{-1}$. Without the rise, the explosion time can not be well constrained which leads to a systematic offset in the velocity parameter and larger uncertainties in the mass and radius. Therefore, it is likely that progenitor property estimates through these models may have larger systematic uncertainties than previously calculated., Comment: 15 pages, 9 figures. Accepted to MNRAS
Published: 2021
Full Text: View/download PDF

49. Cross-correlation of DES Y3 lensing and ACT/${\it Planck}$ thermal Sunyaev Zel'dovich Effect I: Measurements, systematics tests, and feedback model constraints

Author: Gatti, M., Pandey, S., Baxter, E., Hill, J. C., Moser, E., Raveri, M., Fang, X., DeRose, J., Giannini, G., Doux, C., Huang, H., Battaglia, N., Alarcon, A., Amon, A., Becker, M., Campos, A., Chang, C., Chen, R., Choi, A., Eckert, K., Elvin-Poole, J., Everett, S., Ferte, A., Harrison, I., Maccrann, N., Mccullough, J., Myles, J., Alsina, A. Navarro, Prat, J., Rollins, R. P., Sanchez, C., Shin, T., Troxel, M., Tutusaus, I., Yin, B., Abbott, T., Aguena, M., Allam, S., Andrade-Oliveira, F., Annis, J., Bernstein, G., Bertin, E., Bolliet, B., Bond, J. R., Brooks, D., Burke, D. L., Calabrese, E., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Cawthon, R., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. da Silva, DeVicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Dunkley, J., Evrard, A. E., Ferraro, S., Ferrero, I., Flaugher, B., Fosalba, P., Frieman, J., Garcıa-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Herner, K., Hincks, A. D., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hughes, J. P., Huterer, D., Jain, B., James, D. J., Krause, E., Kuehn, K., Kuropatkin, N., Lahav, O., Lidman, C., Lima, M., Lokken, M., Madhavacheril, M. S., Maia, M. A. G., Marshall, J. L., Mcmahon, J. J., Melchior, P., Moodley, K., Mohr, J. J., Morgan, R., Nati, F., Niemack, M. D., Page, L., Palmese, A., Paz-Chinchon, F., Pieres, A., Malagon, A. A. Plazas, Rodriguez-Monroy, M., Romer, A. K., Sanchez, E., Scarpine, V., Schaan, E., Secco, L. F., Serrano, S., Sheldon, E., Sherwin, B. D., Sifon, C., Smith, M., Soares-Santos, M., Spergel, D., Suchyta, E., Tarle, G., Thomas, D., To, C., Tucker, D. L., Varga, T. N., Weller, J., Wilkinson, R. D., Wollack, E. J., Xu, Z., Gatti, M., Pandey, S., Baxter, E., Hill, J. C., Moser, E., Raveri, M., Fang, X., DeRose, J., Giannini, G., Doux, C., Huang, H., Battaglia, N., Alarcon, A., Amon, A., Becker, M., Campos, A., Chang, C., Chen, R., Choi, A., Eckert, K., Elvin-Poole, J., Everett, S., Ferte, A., Harrison, I., Maccrann, N., Mccullough, J., Myles, J., Alsina, A. Navarro, Prat, J., Rollins, R. P., Sanchez, C., Shin, T., Troxel, M., Tutusaus, I., Yin, B., Abbott, T., Aguena, M., Allam, S., Andrade-Oliveira, F., Annis, J., Bernstein, G., Bertin, E., Bolliet, B., Bond, J. R., Brooks, D., Burke, D. L., Calabrese, E., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Cawthon, R., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. da Silva, DeVicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Dunkley, J., Evrard, A. E., Ferraro, S., Ferrero, I., Flaugher, B., Fosalba, P., Frieman, J., Garcıa-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Herner, K., Hincks, A. D., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hughes, J. P., Huterer, D., Jain, B., James, D. J., Krause, E., Kuehn, K., Kuropatkin, N., Lahav, O., Lidman, C., Lima, M., Lokken, M., Madhavacheril, M. S., Maia, M. A. G., Marshall, J. L., Mcmahon, J. J., Melchior, P., Moodley, K., Mohr, J. J., Morgan, R., Nati, F., Niemack, M. D., Page, L., Palmese, A., Paz-Chinchon, F., Pieres, A., Malagon, A. A. Plazas, Rodriguez-Monroy, M., Romer, A. K., Sanchez, E., Scarpine, V., Schaan, E., Secco, L. F., Serrano, S., Sheldon, E., Sherwin, B. D., Sifon, C., Smith, M., Soares-Santos, M., Spergel, D., Suchyta, E., Tarle, G., Thomas, D., To, C., Tucker, D. L., Varga, T. N., Weller, J., Wilkinson, R. D., Wollack, E. J., and Xu, Z.
Abstract: We present a tomographic measurement of the cross-correlation between thermal Sunyaev-Zeldovich (tSZ) maps from ${\it Planck}$ and the Atacama Cosmology Telescope (ACT) and weak galaxy lensing shears measured during the first three years of observations of the Dark Energy Survey (DES Y3). This correlation is sensitive to the thermal energy in baryons over a wide redshift range, and is therefore a powerful probe of astrophysical feedback. We detect the correlation at a statistical significance of $21\sigma$, the highest significance to date. We examine the tSZ maps for potential contaminants, including cosmic infrared background (CIB) and radio sources, finding that CIB has a substantial impact on our measurements and must be taken into account in our analysis. We use the cross-correlation measurements to test different feedback models. In particular, we model the tSZ using several different pressure profile models calibrated against hydrodynamical simulations. Our analysis marginalises over redshift uncertainties, shear calibration biases, and intrinsic alignment effects. We also marginalise over $\Omega_{\rm m}$ and $\sigma_8$ using ${\it Planck}$ or DES priors. We find that the data prefers the model with a low amplitude of the pressure profile at small scales, compatible with a scenario with strong AGN feedback and ejection of gas from the inner part of the halos. When using a more flexible model for the shear profile, constraints are weaker, and the data cannot discriminate between different baryonic prescriptions., Comment: submitted to PRD
Published: 2021

50. Dark Energy Survey Year 3 Results: A 2.7% measurement of Baryon Acoustic Oscillation distance scale at redshift 0.835

Author: DES Collaboration, Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveira, F., Asorey, J., Avila, S., Bernstein, G. M., Bertin, E., Brandao-Souza, A., Brooks, D., Burke, D. L., Calcino, J., Camacho, H., Rosell, A. Carnero, Carollo, D., Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Chan, K. C., Choi, A., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Eckert, K., Elvin-Poole, J., Everett, S., Evrard, A. E., Fang, X., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Glazebrook, K., Gomes, D., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Jain, B., James, D. J., Jeltema, T., Kokron, N., Krause, E., Kuehn, K., Lahav, O., Lewis, G. F., Lidman, C., Lima, M., Lin, H., Maia, M. A. G., Malik, U., Martini, P., Melchior, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Mohr, J. J., Morgan, R., Muir, J., Myles, J., Möller, A., Palmese, A., Paz-Chinchón, F., Percival, W. J., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Rodriguez-Monroy, M., Romer, A. K., Roodman, A., Rosenfeld, R., Ross, A. J., Sanchez, E., Cid, D. Sanchez, Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Sheldon, E., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Troxel, M. A., Tucker, B. E., Tucker, D. L., Tutusaus, I., Uddin, S. A., Varga, T. N., Weller, J., Wilkinson, R. D., DES Collaboration, Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveira, F., Asorey, J., Avila, S., Bernstein, G. M., Bertin, E., Brandao-Souza, A., Brooks, D., Burke, D. L., Calcino, J., Camacho, H., Rosell, A. Carnero, Carollo, D., Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Chan, K. C., Choi, A., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Eckert, K., Elvin-Poole, J., Everett, S., Evrard, A. E., Fang, X., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Glazebrook, K., Gomes, D., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Jain, B., James, D. J., Jeltema, T., Kokron, N., Krause, E., Kuehn, K., Lahav, O., Lewis, G. F., Lidman, C., Lima, M., Lin, H., Maia, M. A. G., Malik, U., Martini, P., Melchior, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Mohr, J. J., Morgan, R., Muir, J., Myles, J., Möller, A., Palmese, A., Paz-Chinchón, F., Percival, W. J., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Rodriguez-Monroy, M., Romer, A. K., Roodman, A., Rosenfeld, R., Ross, A. J., Sanchez, E., Cid, D. Sanchez, Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Sheldon, E., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Troxel, M. A., Tucker, B. E., Tucker, D. L., Tutusaus, I., Uddin, S. A., Varga, T. N., Weller, J., and Wilkinson, R. D.
Abstract: We present angular diameter measurements obtained by measuring the position of Baryon Acoustic Oscillations (BAO) in an optimised sample of galaxies from the first three years of Dark Energy Survey data (DES Y3). The sample consists of 7 million galaxies distributed over a footprint of 4100 deg$^2$ with $0.6 < z_{\rm photo} < 1.1$ and a typical redshift uncertainty of $0.03(1+z)$. The sample selection is the same as in the BAO measurement with the first year of DES data, but the analysis presented here uses three times the area, extends to higher redshift and makes a number of improvements, including a fully analytical BAO template, the use of covariances from both theory and simulations, and an extensive pre-unblinding protocol. We used two different statistics: angular correlation function and power spectrum, and validate our pipeline with an ensemble of over 1500 realistic simulations. Both statistics yield compatible results. We combine the likelihoods derived from angular correlations and spherical harmonics to constrain the ratio of comoving angular diameter distance $D_M$ at the effective redshift of our sample to the sound horizon scale at the drag epoch. We obtain $D_M(z_{\rm eff}=0.835)/r_{\rm d} = 18.92 \pm 0.51$, which is consistent with, but smaller than, the Planck prediction assuming flat \lcdm, at the level of $2.3 \sigma$. The analysis was performed blind and is robust to changes in a number of analysis choices. It represents the most precise BAO distance measurement from imaging data to date, and is competitive with the latest transverse ones from spectroscopic samples at $z>0.75$. When combined with DES 3x2pt + SNIa, they lead to improvements in $H_0$ and $\Omega_m$ constraints by $\sim 20\%$, Comment: 24 pages, 10 figures, matches version accepted by PRD
Published: 2021
Full Text: View/download PDF

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Publication Year Range

Publication Type

Journal

Database

Publisher

692 results on '"Lidman, C."'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources