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1. DESI 2024 VII: Cosmological Constraints from the Full-Shape Modeling of Clustering Measurements

Author: DESI Collaboration, Adame, A. G., Aguilar, J., Ahlen, S., Alam, S., Alexander, D. M., Prieto, C. Allende, Alvarez, M., Alves, O., Anand, A., Andrade, U., Armengaud, E., Avila, S., Aviles, A., Awan, H., Bahr-Kalus, B., Bailey, S., Baltay, C., Bault, A., Behera, J., BenZvi, S., Beutler, F., Bianchi, D., Blake, C., Blum, R., Bonici, M., Brieden, S., Brodzeller, A., Brooks, D., Buckley-Geer, E., Burtin, E., Calderon, R., Canning, R., Rosell, A. Carnero, Cereskaite, R., Cervantes-Cota, J. L., Chabanier, S., Chaussidon, E., Chaves-Montero, J., Chebat, D., Chen, S., Chen, X., Claybaugh, T., Cole, S., Cuceu, A., Davis, T. M., Dawson, K., de la Macorra, A., de Mattia, A., Deiosso, N., Dey, A., Dey, B., Ding, Z., Doel, P., Edelstein, J., Eftekharzadeh, S., Eisenstein, D. J., Elbers, W., Elliott, A., Fagrelius, P., Fanning, K., Ferraro, S., Ereza, J., Findlay, N., Flaugher, B., Font-Ribera, A., Forero-Sánchez, D., Forero-Romero, J. E., Frenk, C. S., Garcia-Quintero, C., Garrison, L. H., Gaztañaga, E., Gil-Marín, H., Gontcho, S. Gontcho A, Gonzalez-Morales, A. X., Gonzalez-Perez, V., Gordon, C., Green, D., Gruen, D., Gsponer, R., Gutierrez, G., Guy, J., Hadzhiyska, B., Hahn, C., Hanif, M. M. S, Herrera-Alcantar, H. K., Honscheid, K., Howlett, C., Huterer, D., Iršič, V., Ishak, M., Joyce, R., Juneau, S., Karaçaylı, N. G., Kehoe, R., Kent, S., Kirkby, D., Kong, H., Koposov, S. E., Kremin, A., Krolewski, A., Lahav, O., Lai, Y., Lan, T. -W., Landriau, M., Lang, D., Lasker, J., Goff, J. M. Le, Guillou, L. Le, Leauthaud, A., Levi, M. E., Li, T. S., Lodha, K., Magneville, C., Manera, M., Margala, D., Martini, P., Matthewson, W., Maus, M., McDonald, P., Medina-Varela, L., Meisner, A., Mena-Fernández, J., Miquel, R., Moon, J., Moore, S., Moustakas, J., Mudur, N., Mueller, E., Muñoz-Gutiérrez, A., Myers, A. D., Nadathur, S., Napolitano, L., Neveux, R., Newman, J. A., Nguyen, N. M., Nie, J., Niz, G., Noriega, H. E., Padmanabhan, N., Paillas, E., Palanque-Delabrouille, N., Pan, J., Penmetsa, S., Percival, W. J., Pieri, M. M., Pinon, M., Poppett, C., Porredon, A., Prada, F., Pérez-Fernández, A., Pérez-Ràfols, I., Rabinowitz, D., Raichoor, A., Ramírez-Pérez, C., Ramirez-Solano, S., Rashkovetskyi, M., Ravoux, C., Rezaie, M., Rich, J., Rocher, A., Rockosi, C., Roe, N. A., Rosado-Marin, A., Ross, A. J., Rossi, G., Ruggeri, R., Ruhlmann-Kleider, V., Samushia, L., Sanchez, E., Saulder, C., Schlafly, E. F., Schlegel, D., Schubnell, M., Seo, H., Shafieloo, A., Sharples, R., Silber, J., Slosar, A., Smith, A., Sprayberry, D., Tan, T., Tarlé, G., Taylor, P., Trusov, S., Vaisakh, R., Valcin, D., Valdes, F., Valogiannis, G., Vargas-Magaña, M., Verde, L., Walther, M., Wang, B., Wang, M. S., Weaver, B. A., Weaverdyck, N., Wechsler, R. H., Weinberg, D. H., White, M., Wilson, M. J., Yi, L., Yu, J., Yu, Y., Yuan, S., Yèche, C., Zaborowski, E. A., Zarrouk, P., Zhang, H., Zhao, C., Zhao, R., Zhou, R., Zhuang, T., and Zou, H.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present cosmological results from the measurement of clustering of galaxy, quasar and Lyman-$\alpha$ forest tracers from the first year of observations with the Dark Energy Spectroscopic Instrument (DESI Data Release 1). We adopt the full-shape (FS) modeling of the power spectrum, including the effects of redshift-space distortions, in an analysis which has been validated in a series of supporting papers. In the flat $\Lambda$CDM cosmological model, DESI (FS+BAO), combined with a baryon density prior from Big Bang Nucleosynthesis and a weak prior on the scalar spectral index, determines matter density to $\Omega_\mathrm{m}=0.2962\pm 0.0095$, and the amplitude of mass fluctuations to $\sigma_8=0.842\pm 0.034$. The addition of the cosmic microwave background (CMB) data tightens these constraints to $\Omega_\mathrm{m}=0.3056\pm 0.0049$ and $\sigma_8=0.8121\pm 0.0053$, while further addition of the the joint clustering and lensing analysis from the Dark Energy Survey Year-3 (DESY3) data leads to a 0.4% determination of the Hubble constant, $H_0 = (68.40\pm 0.27)\,{\rm km\,s^{-1}\,Mpc^{-1}}$. In models with a time-varying dark energy equation of state, combinations of DESI (FS+BAO) with CMB and type Ia supernovae continue to show the preference, previously found in the DESI DR1 BAO analysis, for $w_0>-1$ and $w_a<0$ with similar levels of significance. DESI data, in combination with the CMB, impose the upper limits on the sum of the neutrino masses of $\sum m_\nu < 0.071\,{\rm eV}$ at 95% confidence. DESI data alone measure the modified-gravity parameter that controls the clustering of massive particles, $\mu_0=0.11^{+0.45}_{-0.54}$, while the combination of DESI with the CMB and the clustering and lensing analysis from DESY3 constrains both modified-gravity parameters, giving $\mu_0 = 0.04\pm 0.22$ and $\Sigma_0 = 0.044\pm 0.047$, in agreement with general relativity. [Abridged.], Comment: This DESI Collaboration Key Publication is part of the 2024 publication series using the first year of observations (see https://data.desi.lbl.gov/doc/papers/). 55 pages, 10 figures
Published: 2024

2. DESI 2024 II: Sample Definitions, Characteristics, and Two-point Clustering Statistics

Author: DESI Collaboration, Adame, A. G., Aguilar, J., Ahlen, S., Alam, S., Alexander, D. M., Alvarez, M., Alves, O., Anand, A., Andrade, U., Armengaud, E., Avila, S., Aviles, A., Awan, H., Bailey, S., Baltay, C., Bault, A., Behera, J., BenZvi, S., Beutler, F., Bianchi, D., Blake, C., Blum, R., Brieden, S., Brodzeller, A., Brooks, D., Brown, Z., Buckley-Geer, E., Burtin, E., Calderon, R., Canning, R., Rosell, A. Carnero, Cereskaite, R., Cervantes-Cota, J. L., Chabanier, S., Chaussidon, E., Chaves-Montero, J., Chen, S., Chen, X., Claybaugh, T., Cole, S., Cuceu, A., Davis, T. M., Dawson, K., de la Macorra, A., de Mattia, A., Deiosso, N., Demina, R., Dey, A., Dey, B., Ding, Z., Doel, P., Edelstein, J., Eftekharzadeh, S., Eisenstein, D. J., Elliott, A., Fagrelius, P., Fanning, K., Ferraro, S., Ereza, J., Findlay, N., Flaugher, B., Font-Ribera, A., Forero-Sánchez, D., Forero-Romero, J. E., Frenk, C. S., Garcia-Quintero, C., Gaztañaga, E., Gil-Marín, H., Gontcho, S. Gontcho A, Gonzalez-Morales, A. X., Gonzalez-Perez, V., Gordon, C., Green, D., Gruen, D., Gsponer, R., Gutierrez, G., Guy, J., Hadzhiyska, B., Hahn, C., Hanif, M. M. S, Herrera-Alcantar, H. K., Honscheid, K., Hou, J., Howlett, C., Huterer, D., Iršič, V., Ishak, M., Juneau, S., Karaçaylı, N. G., Kehoe, R., Kent, S., Kirkby, D., Kitaura, F. -S., Kong, H., Kremin, A., Krolewski, A., Lai, Y., Lan, T. -W., Landriau, M., Lang, D., Lasker, J., Goff, J. M. Le, Guillou, L. Le, Leauthaud, A., Levi, M. E., Li, T. S., Lodha, K., Magneville, C., Manera, M., Margala, D., Martini, P., Maus, M., McDonald, P., Medina-Varela, L., Meisner, A., Mena-Fernández, J., Miquel, R., Moon, J., Moore, S., Moustakas, J., Mudur, N., Mueller, E., Muñoz-Gutiérrez, A., Myers, A. D., Nadathur, S., Napolitano, L., Neveux, R., Newman, J. A., Nguyen, N. M., Nie, J., Niz, G., Noriega, H. E., Padmanabhan, N., Paillas, E., Palanque-Delabrouille, N., Pan, J., Penmetsa, S., Percival, W. J., Pieri, M. M., Pinon, M., Poppett, C., Porredon, A., Prada, F., Pérez-Fernández, A., Pérez-Ràfols, I., Rabinowitz, D., Raichoor, A., Ramírez-Pérez, C., Ramirez-Solano, S., Rashkovetskyi, M., Ravoux, C., Rezaie, M., Rich, J., Rocher, A., Rockosi, C., Roe, N. A., Rosado-Marin, A., Ross, A. J., Rossi, G., Ruggeri, R., Ruhlmann-Kleider, V., Samushia, L., Sanchez, E., Saulder, C., Schlafly, E. F., Schlegel, D., Scholte, D., Schubnell, M., Seo, H., Sharples, R., Silber, J., Slosar, A., Smith, A., Sprayberry, D., Tan, T., Tarlé, G., Trusov, S., Vaisakh, R., Valcin, D., Valdes, F., Vargas-Magaña, M., Verde, L., Walther, M., Wang, B., Wang, M. S., Weaver, B. A., Weaverdyck, N., Wechsler, R. H., Weinberg, D. H., White, M., Wilson, M. J., Yu, J., Yu, Y., Yuan, S., Yèche, C., Zaborowski, E. A., Zarrouk, P., Zhang, H., Zhao, C., Zhao, R., Zhou, R., and Zou, H.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present the samples of galaxies and quasars used for DESI 2024 cosmological analyses, drawn from the DESI Data Release 1 (DR1). We describe the construction of large-scale structure (LSS) catalogs from these samples, which include matched sets of synthetic reference `randoms' and weights that account for variations in the observed density of the samples due to experimental design and varying instrument performance. We detail how we correct for variations in observational completeness, the input `target' densities due to imaging systematics, and the ability to confidently measure redshifts from DESI spectra. We then summarize how remaining uncertainties in the corrections can be translated to systematic uncertainties for particular analyses. We describe the weights added to maximize the signal-to-noise of DESI DR1 2-point clustering measurements. We detail measurement pipelines applied to the LSS catalogs that obtain 2-point clustering measurements in configuration and Fourier space. The resulting 2-point measurements depend on window functions and normalization constraints particular to each sample, and we present the corrections required to match models to the data. We compare the configuration- and Fourier-space 2-point clustering of the data samples to that recovered from simulations of DESI DR1 and find they are, generally, in statistical agreement to within 2\% in the inferred real-space over-density field. The LSS catalogs, 2-point measurements, and their covariance matrices will be released publicly with DESI DR1., Comment: This DESI Collaboration Key Publication is part of the 2024 publication series using the first year of observations (see https://data.desi.lbl.gov/doc/papers/)
Published: 2024

3. DESI 2024 V: Full-Shape Galaxy Clustering from Galaxies and Quasars

Author: DESI Collaboration, Adame, A. G., Aguilar, J., Ahlen, S., Alam, S., Alexander, D. M., Alvarez, M., Alves, O., Anand, A., Andrade, U., Armengaud, E., Avila, S., Aviles, A., Awan, H., Bailey, S., Baltay, C., Bault, A., Behera, J., BenZvi, S., Beutler, F., Bianchi, D., Blake, C., Blum, R., Brieden, S., Brodzeller, A., Brooks, D., Buckley-Geer, E., Burtin, E., Calderon, R., Canning, R., Rosell, A. Carnero, Cereskaite, R., Cervantes-Cota, J. L., Chabanier, S., Chaussidon, E., Chaves-Montero, J., Chen, S., Chen, X., Claybaugh, T., Cole, S., Cuceu, A., Davis, T. M., Dawson, K., de la Macorra, A., de Mattia, A., Deiosso, N., Dey, A., Dey, B., Ding, Z., Doel, P., Edelstein, J., Eftekharzadeh, S., Eisenstein, D. J., Elliott, A., Fagrelius, P., Fanning, K., Ferraro, S., Ereza, J., Findlay, N., Flaugher, B., Font-Ribera, A., Forero-Sánchez, D., Forero-Romero, J. E., Garcia-Quintero, C., Garrison, L. H., Gaztañaga, E., Gil-Marín, H., Gontcho, S. Gontcho A, Gonzalez-Morales, A. X., Gonzalez-Perez, V., Gordon, C., Green, D., Gruen, D., Gsponer, R., Gutierrez, G., Guy, J., Hadzhiyska, B., Hahn, C., Hanif, M. M. S, Herrera-Alcantar, H. K., Honscheid, K., Howlett, C., Huterer, D., Iršič, V., Ishak, M., Juneau, S., Karaçaylı, N. G., Kehoe, R., Kent, S., Kirkby, D., Kong, H., Koposov, S. E., Kremin, A., Krolewski, A., Lai, Y., Lan, T. -W., Landriau, M., Lang, D., Lasker, J., Goff, J. M. Le, Guillou, L. Le, Leauthaud, A., Levi, M. E., Li, T. S., Lodha, K., Magneville, C., Manera, M., Margala, D., Martini, P., Maus, M., McDonald, P., Medina-Varela, L., Meisner, A., Mena-Fernández, J., Miquel, R., Moon, J., Moore, S., Moustakas, J., Mueller, E., Muñoz-Gutiérrez, A., Myers, A. D., Nadathur, S., Napolitano, L., Neveux, R., Newman, J. A., Nguyen, N. M., Nie, J., Niz, G., Noriega, H. E., Padmanabhan, N., Paillas, E., Palanque-Delabrouille, N., Pan, J., Penmetsa, S., Percival, W. J., Pieri, M. M., Pinon, M., Poppett, C., Porredon, A., Prada, F., Pérez-Fernández, A., Pérez-Ràfols, I., Rabinowitz, D., Raichoor, A., Ramírez-Pérez, C., Ramirez-Solano, S., Rashkovetskyi, M., Ravoux, C., Rezaie, M., Rich, J., Rocher, A., Rockosi, C., Rodríguez-Martínez, F., Roe, N. A., Rosado-Marin, A., Ross, A. J., Rossi, G., Ruggeri, R., Ruhlmann-Kleider, V., Samushia, L., Sanchez, E., Saulder, C., Schlafly, E. F., Schlegel, D., Schubnell, M., Seo, H., Sharples, R., Silber, J., Slosar, A., Smith, A., Sprayberry, D., Tan, T., Tarlé, G., Trusov, S., Vaisakh, R., Valcin, D., Valdes, F., Vargas-Magaña, M., Verde, L., Walther, M., Wang, B., Wang, M. S., Weaver, B. A., Weaverdyck, N., Wechsler, R. H., Weinberg, D. H., White, M., Wilson, M. J., Yu, J., Yu, Y., Yuan, S., Yèche, C., Zaborowski, E. A., Zarrouk, P., Zhang, H., Zhao, C., Zhao, R., Zhou, R., and Zou, H.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present the measurements and cosmological implications of the galaxy two-point clustering using over 4.7 million unique galaxy and quasar redshifts in the range $0.1
Published: 2024

4. Archetype-based Redshift Estimation for the Dark Energy Spectroscopic Instrument Survey

Author: Anand, Abhijeet, Guy, Julien, Bailey, Stephen, Moustakas, John, Aguilar, J, Ahlen, S, Bolton, AS, Brodzeller, A, Brooks, D, Claybaugh, T, Cole, S, de la Macorra, A, Dey, Biprateep, Fanning, K, Forero-Romero, JE, Gaztañaga, E, Gontcho, S Gontcho A, Gutierrez, G, Honscheid, K, Howlett, C, Juneau, S, Kirkby, D, Kisner, T, Kremin, A, Lambert, A, Landriau, M, Le Guillou, L, Manera, M, Meisner, A, Miquel, R, Mueller, E, Niz, G, Palanque-Delabrouille, N, Percival, WJ, Poppett, C, Prada, F, Raichoor, A, Rezaie, M, Rossi, G, Sanchez, E, Schlafly, EF, Schlegel, D, Schubnell, M, Sprayberry, D, Tarlé, G, Warner, C, Weaver, BA, Zhou, R, and Zou, H
Subjects: Particle and High Energy Physics, Astronomical Sciences, Physical Sciences, Affordable and Clean Energy, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics
Abstract: We present a computationally efficient galaxy archetype-based redshift estimation and spectral classification method for the Dark Energy Survey Instrument (DESI) survey. The DESI survey currently relies on a redshift fitter and spectral classifier using a linear combination of principal component analysis-derived templates, which is very efficient in processing large volumes of DESI spectra within a short time frame. However, this method occasionally yields unphysical model fits for galaxies and fails to adequately absorb calibration errors that may still be occasionally visible in the reduced spectra. Our proposed approach improves upon this existing method by refitting the spectra with carefully generated physical galaxy archetypes combined with additional terms designed to absorb data reduction defects and provide more physical models to the DESI spectra. We test our method on an extensive data set derived from the survey validation (SV) and Year 1 (Y1) data of DESI. Our findings indicate that the new method delivers marginally better redshift success for SV tiles while reducing catastrophic redshift failure by 10%-30%. At the same time, results from millions of targets from the main survey show that our model has relatively higher redshift success and purity rates (0.5%-0.8% higher) for galaxy targets while having similar success for QSOs. These improvements also demonstrate that the main DESI redshift pipeline is generally robust. Additionally, it reduces the false-positive redshift estimation by 5%−40% for sky fibers. We also discuss the generic nature of our method and how it can be extended to other large spectroscopic surveys, along with possible future improvements.
Published: 2024

5. The Early Data Release of the Dark Energy Spectroscopic Instrument

Author: Collaboration, DESI, Adame, AG, Aguilar, J, Ahlen, S, Alam, S, Aldering, G, Alexander, DM, Alfarsy, R, Prieto, C Allende, Alvarez, M, Alves, O, Anand, A, Andrade-Oliveira, F, Armengaud, E, Asorey, J, Avila, S, Aviles, A, Bailey, S, Balaguera-Antolínez, A, Ballester, O, Baltay, C, Bault, A, Bautista, J, Behera, J, Beltran, SF, BenZvi, S, Silva, L Beraldo E, Bermejo-Climent, JR, Berti, A, Besuner, R, Beutler, F, Bianchi, D, Blake, C, Blum, R, Bolton, AS, Brieden, S, Brodzeller, A, Brooks, D, Brown, Z, Buckley-Geer, E, Burtin, E, Cabayol-Garcia, L, Cai, Z, Canning, R, Cardiel-Sas, L, Rosell, A Carnero, Castander, FJ, Cervantes-Cota, JL, Chabanier, S, Chaussidon, E, Chaves-Montero, J, Chen, S, Chen, X, Chuang, C, Claybaugh, T, Cole, S, Cooper, AP, Cuceu, A, Davis, TM, Dawson, K, de Belsunce, R, de la Cruz, R, de la Macorra, A, Della Costa, J, de Mattia, A, Demina, R, Demirbozan, U, DeRose, J, Dey, A, Dey, B, Dhungana, G, Ding, J, Ding, Z, Doel, P, Doshi, R, Douglass, K, Edge, A, Eftekharzadeh, S, Eisenstein, DJ, Elliott, A, Ereza, J, Escoffier, S, Fagrelius, P, Fan, X, Fanning, K, Fawcett, VA, Ferraro, S, Flaugher, B, Font-Ribera, A, Forero-Romero, JE, Forero-Sánchez, D, Frenk, CS, Gänsicke, BT, García, LÁ, García-Bellido, J, Garcia-Quintero, C, Garrison, LH, Gil-Marín, H, Golden-Marx, J, and Gontcho, S Gontcho A
Subjects: Astronomical Sciences, Physical Sciences, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics
Abstract: The Dark Energy Spectroscopic Instrument (DESI) completed its 5 month Survey Validation in 2021 May. Spectra of stellar and extragalactic targets from Survey Validation constitute the first major data sample from the DESI survey. This paper describes the public release of those spectra, the catalogs of derived properties, and the intermediate data products. In total, the public release includes good-quality spectral information from 466,447 objects targeted as part of the Milky Way Survey, 428,758 as part of the Bright Galaxy Survey, 227,318 as part of the Luminous Red Galaxy sample, 437,664 as part of the Emission Line Galaxy sample, and 76,079 as part of the Quasar sample. In addition, the release includes spectral information from 137,148 objects that expand the scope beyond the primary samples as part of a series of secondary programs. Here, we describe the spectral data, data quality, data products, Large-Scale Structure science catalogs, access to the data, and references that provide relevant background to using these spectra.
Published: 2024

6. Validation of the DESI 2024 Lyman Alpha Forest BAL Masking Strategy

Author: Martini, Paul, Cuceu, A., Ennesser, L., Brodzeller, A., Aguilar, J., Ahlen, S., Brooks, D., Claybaugh, T., de Belsunce, R., de la Macorra, A., Dey, Arjun, Doel, P., Forero-Romero, J. E., Gaztañaga, E., Gontcho, S. Gontcho A, Guy, J., Herrera-Alcantar, H. K., Honscheid, K., Karaçaylı, N. G., Kisner, T., Kremin, A., Lambert, A., Guillou, L. Le, Manera, M., Meisner, A., Miquel, R., Montero-Camacho, P., Moustakas, J., Niz, G., Palanque-Delabrouille, N., Percival, W. J., Pérez-Ràfols, I., Poppett, C., Prada, F., Ravoux, C., Rezaie, M., Rossi, G., Sanchez, E., Schlegel, D., Schubnell, M., Seo, H., Sprayberry, D., Tan, T., Tarlé, G., Walther, M., Weaver, B. A., and Zou, H.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Broad absorption line quasars (BALs) exhibit blueshifted absorption relative to a number of their prominent broad emission features. These absorption features can contribute to quasar redshift errors and add absorption to the Lyman-alpha (LyA) forest that is unrelated to large-scale structure. We present a detailed analysis of the impact of BALs on the Baryon Acoustic Oscillation (BAO) results with the LyA forest from the first year of data from the Dark Energy Spectroscopic Instrument (DESI). The baseline strategy for the first year analysis is to mask all pixels associated with all BAL absorption features that fall within the wavelength region used to measure the forest. We explore a range of alternate masking strategies and demonstrate that these changes have minimal impact on the BAO measurements with both DESI data and synthetic data. This includes when we mask the BAL features associated with emission lines outside of the forest region to minimize their contribution to redshift errors. We identify differences in the properties of BALs in the synthetic datasets relative to the observational data, as well as use the synthetic observations to characterize the completeness of the BAL identification algorithm, and demonstrate that incompleteness and differences in the BALs between real and synthetic data also do not impact the BAO results for the LyA forest., Comment: 32 pages, 8 figures, accepted by JCAP
Published: 2024

7. DESI 2024 VI: Cosmological Constraints from the Measurements of Baryon Acoustic Oscillations

Author: DESI Collaboration, Adame, A. G., Aguilar, J., Ahlen, S., Alam, S., Alexander, D. M., Alvarez, M., Alves, O., Anand, A., Andrade, U., Armengaud, E., Avila, S., Aviles, A., Awan, H., Bahr-Kalus, B., Bailey, S., Baltay, C., Bault, A., Behera, J., BenZvi, S., Bera, A., Beutler, F., Bianchi, D., Blake, C., Blum, R., Brieden, S., Brodzeller, A., Brooks, D., Buckley-Geer, E., Burtin, E., Calderon, R., Canning, R., Rosell, A. Carnero, Cereskaite, R., Cervantes-Cota, J. L., Chabanier, S., Chaussidon, E., Chaves-Montero, J., Chen, S., Chen, X., Claybaugh, T., Cole, S., Cuceu, A., Davis, T. M., Dawson, K., de la Macorra, A., de Mattia, A., Deiosso, N., Dey, A., Dey, B., Ding, Z., Doel, P., Edelstein, J., Eftekharzadeh, S., Eisenstein, D. J., Elliott, A., Fagrelius, P., Fanning, K., Ferraro, S., Ereza, J., Findlay, N., Flaugher, B., Font-Ribera, A., Forero-Sánchez, D., Forero-Romero, J. E., Frenk, C. S., Garcia-Quintero, C., Gaztañaga, E., Gil-Marín, H., Gontcho, S. Gontcho A, Gonzalez-Morales, A. X., Gonzalez-Perez, V., Gordon, C., Green, D., Gruen, D., Gsponer, R., Gutierrez, G., Guy, J., Hadzhiyska, B., Hahn, C., Hanif, M. M. S, Herrera-Alcantar, H. K., Honscheid, K., Howlett, C., Huterer, D., Iršič, V., Ishak, M., Juneau, S., Karaçaylı, N. G., Kehoe, R., Kent, S., Kirkby, D., Kremin, A., Krolewski, A., Lai, Y., Lan, T. -W., Landriau, M., Lang, D., Lasker, J., Goff, J. M. Le, Guillou, L. Le, Leauthaud, A., Levi, M. E., Li, T. S., Linder, E., Lodha, K., Magneville, C., Manera, M., Margala, D., Martini, P., Maus, M., McDonald, P., Medina-Varela, L., Meisner, A., Mena-Fernández, J., Miquel, R., Moon, J., Moore, S., Moustakas, J., Mudur, N., Mueller, E., Muñoz-Gutiérrez, A., Myers, A. D., Nadathur, S., Napolitano, L., Neveux, R., Newman, J. A., Nguyen, N. M., Nie, J., Niz, G., Noriega, H. E., Padmanabhan, N., Paillas, E., Palanque-Delabrouille, N., Pan, J., Penmetsa, S., Percival, W. J., Pieri, M. M., Pinon, M., Poppett, C., Porredon, A., Prada, F., Pérez-Fernández, A., Pérez-Ràfols, I., Rabinowitz, D., Raichoor, A., Ramírez-Pérez, C., Ramirez-Solano, S., Ravoux, C., Rashkovetskyi, M., Rezaie, M., Rich, J., Rocher, A., Rockosi, C., Roe, N. A., Rosado-Marin, A., Ross, A. J., Rossi, G., Ruggeri, R., Ruhlmann-Kleider, V., Samushia, L., Sanchez, E., Saulder, C., Schlafly, E. F., Schlegel, D., Schubnell, M., Seo, H., Shafieloo, A., Sharples, R., Silber, J., Slosar, A., Smith, A., Sprayberry, D., Tan, T., Tarlé, G., Taylor, P., Trusov, S., Ureña-López, L. A., Vaisakh, R., Valcin, D., Valdes, F., Vargas-Magaña, M., Verde, L., Walther, M., Wang, B., Wang, M. S., Weaver, B. A., Weaverdyck, N., Wechsler, R. H., Weinberg, D. H., White, M., Yu, J., Yu, Y., Yuan, S., Yèche, C., Zaborowski, E. A., Zarrouk, P., Zhang, H., Zhao, C., Zhao, R., Zhou, R., Zhuang, T., and Zou, H.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present cosmological results from the measurement of baryon acoustic oscillations (BAO) in galaxy, quasar and Lyman-$\alpha$ forest tracers from the first year of observations from the Dark Energy Spectroscopic Instrument (DESI), to be released in the DESI Data Release 1. DESI BAO provide robust measurements of the transverse comoving distance and Hubble rate, or their combination, relative to the sound horizon, in seven redshift bins from over 6 million extragalactic objects in the redshift range $0.1-1$ and $w_a<0$. This preference is 2.6$\sigma$ for the DESI+CMB combination, and persists or grows when SN~Ia are added in, giving results discrepant with the $\Lambda$CDM model at the $2.5\sigma$, $3.5\sigma$ or $3.9\sigma$ levels for the addition of Pantheon+, Union3, or DES-SN5YR datasets respectively. For the flat $\Lambda$CDM model with the sum of neutrino mass $\sum m_\nu$ free, combining the DESI and CMB data yields an upper limit $\sum m_\nu < 0.072$ $(0.113)$ eV at 95% confidence for a $\sum m_\nu>0$ $(\sum m_\nu>0.059)$ eV prior. These neutrino-mass constraints are substantially relaxed in models beyond $\Lambda$CDM. [Abridged.], Comment: This DESI Collaboration Key Publication is part of the 2024 publication series using the first year of observations (see https://data.desi.lbl.gov/doc/papers). 68 pages, 15 figures. Version accepted for publication in JCAP
Published: 2024

8. DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman Alpha Forest

Author: DESI Collaboration, Adame, A. G., Aguilar, J., Ahlen, S., Alam, S., Alexander, D. M., Alvarez, M., Alves, O., Anand, A., Andrade, U., Armengaud, E., Avila, S., Aviles, A., Awan, H., Bailey, S., Baltay, C., Bault, A., Bautista, J., Behera, J., BenZvi, S., Beutler, F., Bianchi, D., Blake, C., Blum, R., Brieden, S., Brodzeller, A., Brooks, D., Buckley-Geer, E., Burtin, E., Calderon, R., Canning, R., Rosell, A. Carnero, Cereskaite, R., Cervantes-Cota, J. L., Chabanier, S., Chaussidon, E., Chaves-Montero, J., Chen, S., Chen, X., Claybaugh, T., Cole, S., Cuceu, A., Davis, T. M., Dawson, K., de la Cruz, R., de la Macorra, A., de Mattia, A., Deiosso, N., Dey, A., Dey, B., Ding, J., Ding, Z., Doel, P., Edelstein, J., Eftekharzadeh, S., Eisenstein, D. J., Elliott, A., Fagrelius, P., Fanning, K., Ferraro, S., Ereza, J., Findlay, N., Flaugher, B., Font-Ribera, A., Forero-Sánchez, D., Forero-Romero, J. E., Garcia-Quintero, C., Gaztañaga, E., Gil-Marín, H., Gontcho, S. Gontcho A, Gonzalez-Morales, A. X., Gonzalez-Perez, V., Gordon, C., Green, D., Gruen, D., Gsponer, R., Gutierrez, G., Guy, J., Hadzhiyska, B., Hahn, C., Hanif, M. M. S, Herrera-Alcantar, H. K., Honscheid, K., Howlett, C., Huterer, D., Iršič, V., Ishak, M., Juneau, S., Karaçayli, N. G., Kehoe, R., Kent, S., Kirkby, D., Kremin, A., Krolewski, A., Lai, Y., Lan, T. -W., Landriau, M., Lang, D., Lasker, J., Goff, J. M. Le, Guillou, L. Le, Leauthaud, A., Levi, M. E., Li, T. S., Linder, E., Lodha, K., Magneville, C., Manera, M., Margala, D., Martini, P., Maus, M., McDonald, P., Medina-Varela, L., Meisner, A., Mena-Fernández, J., Miquel, R., Moon, J., Moore, S., Moustakas, J., Mueller, E., Muñoz-Gutiérrez, A., Myers, A. D., Nadathur, S., Napolitano, L., Neveux, R., Newman, J. A., Nguyen, N. M., Nie, J., Niz, G., Noriega, H. E., Padmanabhan, N., Paillas, E., Palanque-Delabrouille, N., Pan, J., Penmetsa, S., Percival, W. J., Pieri, M. M., Pinon, M., Poppett, C., Porredon, A., Prada, F., Pérez-Fernández, A., Pérez-Ràfols, I., Rabinowitz, D., Raichoor, A., Ramírez-Pérez, C., Ramirez-Solano, S., Rashkovetskyi, M., Ravoux, C., Rezaie, M., Rich, J., Rocher, A., Rockosi, C., Roe, N. A., Rosado-Marin, A., Ross, A. J., Rossi, G., Ruggeri, R., Ruhlmann-Kleider, V., Samushia, L., Sanchez, E., Saulder, C., Schlafly, E. F., Schlegel, D., Schubnell, M., Seo, H., Sharples, R., Silber, J., Sinigaglia, F., Slosar, A., Smith, A., Sprayberry, D., Tan, T., Tarlé, G., Trusov, S., Vaisakh, R., Valcin, D., Valdes, F., Vargas-Magaña, M., Verde, L., Walther, M., Wang, B., Wang, M. S., Weaver, B. A., Weaverdyck, N., Wechsler, R. H., Weinberg, D. H., White, M., Yu, J., Yu, Y., Yuan, S., Yèche, C., Zaborowski, E. A., Zarrouk, P., Zhang, H., Zhao, C., Zhao, R., Zhou, R., and Zou, H.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present the measurement of Baryon Acoustic Oscillations (BAO) from the Lyman-$\alpha$ (Ly$\alpha$) forest of high-redshift quasars with the first-year dataset of the Dark Energy Spectroscopic Instrument (DESI). Our analysis uses over $420\,000$ Ly$\alpha$ forest spectra and their correlation with the spatial distribution of more than $700\,000$ quasars. An essential facet of this work is the development of a new analysis methodology on a blinded dataset. We conducted rigorous tests using synthetic data to ensure the reliability of our methodology and findings before unblinding. Additionally, we conducted multiple data splits to assess the consistency of the results and scrutinized various analysis approaches to confirm their robustness. For a given value of the sound horizon ($r_d$), we measure the expansion at $z_{\rm eff}=2.33$ with 2\% precision, $H(z_{\rm eff}) = (239.2 \pm 4.8) (147.09~{\rm Mpc} /r_d)$ km/s/Mpc. Similarly, we present a 2.4\% measurement of the transverse comoving distance to the same redshift, $D_M(z_{\rm eff}) = (5.84 \pm 0.14) (r_d/147.09~{\rm Mpc})$ Gpc. Together with other DESI BAO measurements at lower redshifts, these results are used in a companion paper to constrain cosmological parameters., Comment: This DESI Collaboration Key Publication is part of the 2024 publication series using the first year of observations (see https://data.desi.lbl.gov/doc/papers). Minor changes in v4, version accepted for publication in JCAP
Published: 2024

9. Characterization of contaminants in the Lyman-alpha forest auto-correlation with DESI

Author: Guy, J., Gontcho, S. Gontcho A, Armengaud, E., Brodzeller, A., Cuceu, A., Font-Ribera, A., Herrera-Alcantar, H. K., Karaçaylı, N. G., Muñoz-Gutiérrez, A., Pieri, M., Pérez-Ràfols, I., Ramírez-Pérez, C., Ravoux, C., Rich, J., Walther, M., Karim, M. Abdul, Aguilar, J., Ahlen, S., Bault, A., Brooks, D., Claybaugh, T., de la Cruz, R., de la Macorra, A., Doel, P., Fanning, K., Forero-Romero, J. E., Gaztañaga, E., Gonzalez-Morales, A. X., Gutierrez, G., Hahn, C., Honscheid, K., Juneau, S., Kehoe, R., Kirkby, D., Kisner, T., Kremin, A., Lambert, A., Landriau, M., Guillou, L. Le, Manera, M., Martini, P., Meisner, A., Miquel, R., Montero-Camacho, P., Moustakas, J., Mueller, E., Myers, A. D., Nie, J., Niz, G., Palanque-Delabrouille, N., Percival, W. J., Poppett, C., Rezaie, M., Rossi, G., Sanchez, E., Schlegel, D., Schubnell, M., Seo, H., Silber, J., Sprayberry, D., Tan, T., Tarlé, G., Vargas-Magaña, M., and Zou, H.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Baryon Acoustic Oscillations can be measured with sub-percent precision above redshift two with the Lyman-alpha forest auto-correlation and its cross-correlation with quasar positions. This is one of the key goals of the Dark Energy Spectroscopic Instrument (DESI) which started its main survey in May 2021. We present in this paper a study of the contaminants to the lyman-alpha forest which are mainly caused by correlated signals introduced by the spectroscopic data processing pipeline as well as astrophysical contaminants due to foreground absorption in the intergalactic medium. Notably, an excess signal caused by the sky background subtraction noise is present in the lyman-alpha auto-correlation in the first line-of-sight separation bin. We use synthetic data to isolate this contribution, we also characterize the effect of spectro-photometric calibration noise, and propose a simple model to account for both effects in the analysis of the lyman-alpha forest. We then measure the auto-correlation of the quasar flux transmission fraction of low redshift quasars, where there is no lyman-alpha forest absorption but only its contaminants. We demonstrate that we can interpret the data with a two-component model: data processing noise and triply ionized Silicon and Carbon auto-correlations. This result can be used to improve the modeling of the lyman-alpha auto-correlation function measured with DESI., Comment: 32 pages, 12 figures
Published: 2024

10. DESI 2024 III: Baryon Acoustic Oscillations from Galaxies and Quasars

Author: DESI Collaboration, Adame, A. G., Aguilar, J., Ahlen, S., Alam, S., Alexander, D. M., Alvarez, M., Alves, O., Anand, A., Andrade, U., Armengaud, E., Avila, S., Aviles, A., Awan, H., Bailey, S., Baltay, C., Bault, A., Behera, J., BenZvi, S., Beutler, F., Bianchi, D., Blake, C., Blum, R., Brieden, S., Brodzeller, A., Brooks, D., Buckley-Geer, E., Burtin, E., Calderon, R., Canning, R., Rosell, A. Carnero, Cereskaite, R., Cervantes-Cota, J. L., Chabanier, S., Chaussidon, E., Chaves-Montero, J., Chen, S., Chen, X., Claybaugh, T., Cole, S., Cuceu, A., Davis, T. M., Dawson, K., de la Macorra, A., de Mattia, A., Deiosso, N., Dey, A., Dey, B., Ding, Z., Doel, P., Edelstein, J., Eftekharzadeh, S., Eisenstein, D. J., Elliott, A., Fagrelius, P., Fanning, K., Ferraro, S., Ereza, J., Findlay, N., Flaugher, B., Font-Ribera, A., Forero-Sánchez, D., Forero-Romero, J. E., Garcia-Quintero, C., Gaztañaga, E., Gil-Marín, H., Gontcho, S. Gontcho A, Gonzalez-Morales, A. X., Gonzalez-Perez, V., Gordon, C., Green, D., Gruen, D., Gsponer, R., Gutierrez, G., Guy, J., Hadzhiyska, B., Hahn, C., Hanif, M. M. S, Herrera-Alcantar, H. K., Honscheid, K., Howlett, C., Huterer, D., Iršič, V., Ishak, M., Juneau, S., Karaçaylı, N. G., Kehoe, R., Kent, S., Kirkby, D., Kremin, A., Krolewski, A., Lai, Y., Lan, T. -W., Landriau, M., Lang, D., Lasker, J., Goff, J. M. Le, Guillou, L. Le, Leauthaud, A., Levi, M. E., Li, T. S., Linder, E., Lodha, K., Magneville, C., Manera, M., Margala, D., Martini, P., Maus, M., McDonald, P., Medina-Varela, L., Meisner, A., Mena-Fernández, J., Miquel, R., Moon, J., Moore, S., Moustakas, J., Mudur, N., Mueller, E., Muñoz-Gutiérrez, A., Myers, A. D., Nadathur, S., Napolitano, L., Neveux, R., Newman, J. A., Nguyen, N. M., Nie, J., Niz, G., Noriega, H. E., Padmanabhan, N., Paillas, E., Palanque-Delabrouille, N., Pan, J., Penmetsa, S., Percival, W. J., Pieri, M., Pinon, M., Poppett, C., Porredon, A., Prada, F., Pérez-Fernández, A., Pérez-Ràfols, I., Rabinowitz, D., Raichoor, A., Ramírez-Pérez, C., Ramirez-Solano, S., Rashkovetskyi, M., Rezaie, M., Rich, J., Rocher, A., Rockosi, C., Roe, N. A., Rosado-Marin, A., Ross, A. J., Rossi, G., Ruggeri, R., Ruhlmann-Kleider, V., Samushia, L., Sanchez, E., Saulder, C., Schlafly, E. F., Schlegel, D., Schubnell, M., Seo, H., Sharples, R., Silber, J., Slosar, A., Smith, A., Sprayberry, D., Swanson, J., Tan, T., Tarlé, G., Trusov, S., Vaisakh, R., Valcin, D., Valdes, F., Vargas-Magaña, M., Verde, L., Walther, M., Wang, B., Wang, M. S., Weaver, B. A., Weaverdyck, N., Wechsler, R. H., Weinberg, D. H., White, M., Yu, J., Yu, Y., Yuan, S., Yèche, C., Zaborowski, E. A., Zarrouk, P., Zhang, H., Zhao, C., Zhao, R., Zhou, R., and Zou, H.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present the DESI 2024 galaxy and quasar baryon acoustic oscillations (BAO) measurements using over 5.7 million unique galaxy and quasar redshifts in the range 0.1
Published: 2024

11. Impact of Systematic Redshift Errors on the Cross-correlation of the Lyman-$\alpha$ Forest with Quasars at Small Scales Using DESI Early Data

Author: Bault, Abby, Kirkby, David, Guy, Julien, Brodzeller, Allyson, Aguilar, J., Ahlen, S., Bailey, S., Brooks, D., Cabayol-Garcia, L., Chaves-Montero, J., Claybaugh, T., Cuceu, A., Dawson, K., de la Cruz, R., de la Macorra, A., Dey, A., Doel, P., Filbert, S., Font-Ribera, A., Forero-Romero, J. E., Gaztañaga, E., Gontcho, S. Gontcho A, Gordon, C., Herrera-Alcantar, H. K., Honscheid, K., Iršič, V., Karaçaylı, N. G., Kehoe, R., Kisner, T., Kremin, A., Lambert, A., Landriau, M., Guillou, L. Le, Levi, M. E., Manera, M., Martini, P., Meisner, A., Miquel, R., Montero-Camacho, P., Moustakas, J., Muñoz-Gutiérrez, A., Nie, J., Niz, G., Palanque-Delabrouille, N., Percival, W. J., Poppett, C., Prada, F., Pérez-Ràfols, I., Ramírez-Pérez, C., Ravoux, C., Rezaie, M., Rossi, G., Sanchez, E., Schlafly, E. F., Schlegel, D., Schubnell, M., Silber, J., Tan, T., Tarlé, G., Walther, M., Weaver, B. A., and Zhou, Z.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The Dark Energy Spectroscopic Instrument (DESI) will measure millions of quasar spectra by the end of its 5 year survey. Quasar redshift errors impact the shape of the Lyman-$\alpha$ forest correlation functions, which can affect cosmological analyses and therefore cosmological interpretations. Using data from the DESI Early Data Release and the first two months of the main survey, we measure the systematic redshift error from an offset in the cross-correlation of the Lyman-$\alpha$ forest with quasars. We find evidence for a redshift dependent bias causing redshifts to be underestimated with increasing redshift, stemming from improper modeling of the Lyman-$\alpha$ optical depth in the templates used for redshift estimation. New templates were derived for the DESI Year 1 quasar sample at $z > 1.6$ and we found the redshift dependent bias, $\Delta r_\parallel$, increased from $-1.94 \pm 0.15$ $h^{-1}$ Mpc to $-0.08 \pm 0.04$ $h^{-1}$ Mpc ($-205 \pm 15~\text{km s}^{-1}$ to $-9.0 \pm 4.0~\text{km s}^{-1}$). These new templates will be used to provide redshifts for the DESI Year 1 quasar sample., Comment: 29 pages, 9 figures, 5 tables
Published: 2024

12. Broad absorption line quasars in the Dark Energy Spectroscopic Instrument Early Data Release

Author: Filbert, S, Martini, P, Seebaluck, K, Ennesser, L, Alexander, DM, Bault, A, Brodzeller, A, Herrera-Alcantar, HK, Montero-Camacho, P, Pérez-Ràfols, I, Ramírez-Pérez, C, Ravoux, C, Tan, T, Aguilar, J, Ahlen, S, Bailey, S, Brooks, D, Claybaugh, T, Dawson, K, de la Macorra, A, Doel, P, Fanning, K, Font-Ribera, A, Forero-Romero, JE, Gontcho A Gontcho, S, Guy, J, Kirkby, D, Kremin, A, Magneville, C, Manera, M, Meisner, A, Miquel, R, Moustakas, J, Nie, J, Percival, WJ, Prada, F, Rezaie, M, Rossi, G, Sanchez, E, Schubnell, M, Seo, H, Tarlé, G, Weaver, BA, and Zhou, Z
Subjects: Astronomical Sciences, Physical Sciences, galaxies: active, galaxies: nuclei, galaxies: quasars: absorption lines, galaxies: quasars: emission lines, catalogues, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics, Space sciences
Abstract: Broad absorption line (BAL) quasars are characterized by gas clouds that absorb flux at the wavelength of common quasar spectral features, although blueshifted by velocities that can exceed 0.1c. BAL features are interesting as signatures of significant feedback, yet they can also compromise cosmological studies with quasars by distorting the shape of the most prominent quasar emission lines, impacting redshift accuracy and measurements of the matter density distribution traced by the Lyman α forest. We present a catalogue of BAL quasars discovered in the Dark Energy Spectroscopic Instrument (DESI) survey Early Data Release, which were observed as part of DESI Survey Validation, as well as the first two months of the main survey. We describe our method to automatically identify BAL quasars in DESI data, the quantities we measure for each BAL, and investigate the completeness and purity of this method with mock DESI observations. We mask the wavelengths of the BAL features and re-evaluate each BAL quasar redshift, finding new redshifts which are 243 km s−1 smaller on average for the BAL quasar sample. These new, more accurate redshifts are important to obtain the best measurements of quasar clustering, especially at small scales. Finally, we present some spectra of rarer classes of BALs that illustrate the potential of DESI data to identify such populations for further study.
Published: 2024

13. Validation of the Scientific Program for the Dark Energy Spectroscopic Instrument

Author: Collaboration, DESI, Adame, AG, Aguilar, J, Ahlen, S, Alam, S, Aldering, G, Alexander, DM, Alfarsy, R, Prieto, C Allende, Alvarez, M, Alves, O, Anand, A, Andrade-Oliveira, F, Armengaud, E, Asorey, J, Avila, S, Aviles, A, Bailey, S, Balaguera-Antolínez, A, Ballester, O, Baltay, C, Bault, A, Bautista, J, Behera, J, Beltran, SF, BenZvi, S, Silva, L Beraldo E, Bermejo-Climent, JR, Berti, A, Besuner, R, Beutler, F, Bianchi, D, Blake, C, Blum, R, Bolton, AS, Brieden, S, Brodzeller, A, Brooks, D, Brown, Z, Buckley-Geer, E, Burtin, E, Cabayol-Garcia, L, Cai, Z, Canning, R, Cardiel-Sas, L, Rosell, A Carnero, Castander, FJ, Cervantes-Cota, JL, Chabanier, S, Chaussidon, E, Chaves-Montero, J, Chen, S, Chen, X, Chuang, C, Claybaugh, T, Cole, S, Cooper, AP, Cuceu, A, Davis, TM, Dawson, K, de Belsunce, R, de la Cruz, R, de la Macorra, A, de Mattia, A, Demina, R, Demirbozan, U, DeRose, J, Dey, A, Dey, B, Dhungana, G, Ding, J, Ding, Z, Doel, P, Doshi, R, Douglass, K, Edge, A, Eftekharzadeh, S, Eisenstein, DJ, Elliott, A, Escoffier, S, Fagrelius, P, Fan, X, Fanning, K, Fawcett, VA, Ferraro, S, Ereza, J, Flaugher, B, Font-Ribera, A, Forero-Sánchez, D, Forero-Romero, JE, Frenk, CS, Gänsicke, BT, García, LÁ, García-Bellido, J, Garcia-Quintero, C, Garrison, LH, Gil-Marín, H, Golden-Marx, J, Gontcho, S Gontcho A, and Gonzalez-Morales, AX
Subjects: Astronomical Sciences, Physical Sciences, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics
Abstract: The Dark Energy Spectroscopic Instrument (DESI) was designed to conduct a survey covering 14,000 deg2 over 5 yr to constrain the cosmic expansion history through precise measurements of baryon acoustic oscillations (BAO). The scientific program for DESI was evaluated during a 5 month survey validation (SV) campaign before beginning full operations. This program produced deep spectra of tens of thousands of objects from each of the stellar Milky Way Survey (MWS), Bright Galaxy Survey (BGS), luminous red galaxy (LRG), emission line galaxy (ELG), and quasar target classes. These SV spectra were used to optimize redshift distributions, characterize exposure times, determine calibration procedures, and assess observational overheads for the 5 yr program. In this paper, we present the final target selection algorithms, redshift distributions, and projected cosmology constraints resulting from those studies. We also present a One-Percent Survey conducted at the conclusion of SV covering 140 deg2 using the final target selection algorithms with exposures of a depth typical of the main survey. The SV indicates that DESI will be able to complete the full 14,000 deg2 program with spectroscopically confirmed targets from the MWS, BGS, LRG, ELG, and quasar programs with total sample sizes of 7.2, 13.8, 7.46, 15.7, and 2.87 million, respectively. These samples will allow exploration of the Milky Way halo, clustering on all scales, and BAO measurements with a statistical precision of 0.28% over the redshift interval z < 1.1, 0.39% over the redshift interval 1.1 < z < 1.9, and 0.46% over the redshift interval 1.9 < z < 3.5.
Published: 2024

14. Broad Absorption Line Quasars in the Dark Energy Spectroscopic Instrument Early Data Release

Author: Filbert, S., Martini, P., Seebaluck, K., Ennesser, L., Alexander, D. M., Bault, A., Brodzeller, A., Herrera-Alcantar, H. K., Montero-Camacho, P., Pérez-Ràfols, I., Ramírez-Pérez, C., Ravoux, C., Tan, T., Aguilar, J., Ahlen, S., Bailey, S., Brooks, D., Claybaugh, T., Dawson, K., de la Macorra, A., Doel, P., Fanning, K., Font-Ribera, A., Forero-Romero, J. E., Gontcho, S. Gontcho A, Guy, J., Kirkby, D., Kremin, A., Magneville, C., Manera, M., Meisner, A., Miquel, R., Moustakas, J., Nie, J., Percival, W. J., Prada, F., Rezaie, M., Rossi, G., Sanchez, E., Schubnell, M., Seo, H., Tarlé, G., Weaver, B. A., and Zhou, Z.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Broad absorption line (BAL) quasars are characterized by gas clouds that absorb flux at the wavelength of common quasar spectral features, although blueshifted by velocities that can exceed 0.1c. BAL features are interesting as signatures of significant feedback, yet they can also compromise cosmological studies with quasars by distorting the shape of the most prominent quasar emission lines, impacting redshift accuracy and measurements of the matter density distribution traced by the Lyman-alpha forest. We present a catalog of BAL quasars discovered in the Dark Energy Spectroscopic Instrument (DESI) survey Early Data Release, which were observed as part of DESI Survey Validation, as well as the first two months of the main survey. We describe our method to automatically identify BAL quasars in DESI data, the quantities we measure for each BAL, and investigate the completeness and purity of this method with mock DESI observations. We mask the wavelengths of the BAL features and re-evaluate each BAL quasar redshift, finding new redshifts which are 243 km/s smaller on average for the BAL quasar sample. These new, more accurate redshifts are important to obtain the best measurements of quasar clustering, especially at small scales. Finally, we present some spectra of rarer classes of BALs that illustrate the potential of DESI data to identify such populations for further study.
Published: 2023

15. A striking relationship between dust extinction and radio detection in DESI QSOs: evidence for a dusty blow-out phase in red QSOs

Author: Fawcett, V. A., Alexander, D. M., Brodzeller, A., Edge, A. C., Rosario, D. J., Myers, A. D., Aguilar, J., Ahlen, S., Alfarsy, R., Brooks, D., Canning, R., Circosta, C., Dawson, K., de la Macorra, A., Doel, P., Fanning, K., Font-Ribera, A., Forero-Romero, J. E., Gontcho, S. Gontcho A, Guy, J., Harrison, C. M., Honscheid, K., Juneau, S., Kehoe, R., Kisner, T., Kremin, A., Landriau, M., Manera, M., Meisner, A. M., Miquel, R., Moustakas, J., Nie, J., Percival, W. J., Poppett, C., Pucha, R., Rossi, G., Schlegel, D., Siudek, M., Tarlé, G., Weaver, B. A., Zhou, Z., and Zou, H.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: We present the first eight months of data from our secondary target program within the ongoing Dark Energy Spectroscopic Instrument (DESI) survey. Our program uses a mid-infrared and optical colour selection to preferentially target dust-reddened QSOs that would have otherwise been missed by the nominal DESI QSO selection. So far we have obtained optical spectra for 3038 candidates, of which ~70% of the high-quality objects (those with robust redshifts) are visually confirmed to be Type 1 QSOs, consistent with the expected fraction from the main DESI QSO survey. By fitting a dust-reddened blue QSO composite to the QSO spectra, we find they are well-fitted by a normal QSO with up to Av~4 mag of line-of-sight dust extinction. Utilizing radio data from the LOFAR Two-metre Sky Survey (LoTSS) DR2, we identify a striking positive relationship between the amount of line-of-sight dust extinction towards a QSO and the radio detection fraction, that is not driven by radio-loud systems, redshift and/or luminosity effects. This demonstrates an intrinsic connection between dust reddening and the production of radio emission in QSOs, whereby the radio emission is most likely due to low-powered jets or winds/outflows causing shocks in a dusty environment. On the basis of this evidence we suggest that red QSOs may represent a transitional "blow-out" phase in the evolution of QSOs, where winds and outflows evacuate the dust and gas to reveal an unobscured blue QSO., Comment: 21 pages, 17 figures, 6 tables, accepted by MNRAS
Published: 2023

16. 3D Correlations in the Lyman-$\alpha$ Forest from Early DESI Data

Author: Gordon, Calum, Cuceu, Andrei, Chaves-Montero, Jonás, Font-Ribera, Andreu, González-Morales, Alma Xochitl, Aguilar, J., Ahlen, S., Armengaud, E., Bailey, S., Bault, A., Brodzeller, A., Brooks, D., Claybaugh, T., de la Cruz, R., Dawson, K., Doel, P., Forero-Romero, J. E., Gontcho, S. Gontcho A, Guy, J., Herrera-Alcantar, H. K., Iršič, V., Karaçaylı, N. G., Kirkby, D., Landriau, M., Guillou, L. Le, Levi, M. E., de la Macorra, A., Manera, M., Martini, P., Meisner, A., Miquel, R., Montero-Camacho, P., Muñoz-Gutiérrez, A., Napolitano, L., Nie, J., Niz, G., Palanque-Delabrouille, N., Percival, W. J., Pieri, M., Poppett, C., Prada, F., Pérez-Ràfols, I., Ramírez-Pérez, C., Ravoux, C., Rezaie, M., Ross, A. J., Rossi, G., Sanchez, E., Schlegel, D., Schubnell, M., Seo, H., Sinigaglia, F., Tan, T., Tarlé, G., Walther, M., Weaver, B. A., Yèche, C., Zhou, Z., and Zou, H.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present the first measurements of Lyman-$\alpha$ (Ly$\alpha$) forest correlations using early data from the Dark Energy Spectroscopic Instrument (DESI). We measure the auto-correlation of Ly$\alpha$ absorption using 88,509 quasars at $z>2$, and its cross-correlation with quasars using a further 147,899 tracer quasars at $z\gtrsim1.77$. Then, we fit these correlations using a 13-parameter model based on linear perturbation theory and find that it provides a good description of the data across a broad range of scales. We detect the BAO peak with a signal-to-noise ratio of $3.8\sigma$, and show that our measurements of the auto- and cross-correlations are fully-consistent with previous measurements by the Extended Baryon Oscillation Spectroscopic Survey (eBOSS). Even though we only use here a small fraction of the final DESI dataset, our uncertainties are only a factor of 1.7 larger than those from the final eBOSS measurement. We validate the existing analysis methods of Ly$\alpha$ correlations in preparation for making a robust measurement of the BAO scale with the first year of DESI data.
Published: 2023

17. The DESI One-Percent Survey: exploring a generalized SHAM for multiple tracers with the UNIT simulation

Author: Yu, Jiaxi, Zhao, Cheng, Gonzalez-Perez, Violeta, Chuang, Chia-Hsun, Brodzeller, Allyson, de Mattia, Arnaud, Kneib, Jean-Paul, Krolewski, Alex, Rocher, Antoine, Ross, Ashley, Wang, Yunchong, Yuan, Sihan, Zhang, Hanyu, Zhou, Rongpu, Aguilar, Jessica Nicole, Ahlen, Steven, Brooks, David, Dawson, Kyle, de la Macorra, Alex, Doel, Peter, Fanning, Kevin, Font-Ribera, Andreu, Forero-Romero, Jaime, Gontcho, Satya Gontcho A, Honscheid, Klaus, Kehoe, Robert, Kisner, Theodore, Kremin, Anthony, Landriau, Martin, Manera, Marc, Martini, Paul, Meisner, Aaron, Miquel, Ramon, Moustakas, John, Nie, Jundan, Percival, Will, Poppett, Claire, Raichoor, Anand, Rossi, Graziano, Seo, Hee-Jong, Tarlé, Gregory, Zhou, Zhimin, and Zou, Hu
Subjects: Space Sciences, Physical Sciences, methods: observational, methods: statistical, Galaxy: halo, large-scale structure of Universe, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics, Space sciences
Abstract: We perform SubHalo Abundance Matching (SHAM) studies on UNIT simulations with {σ, Vceil, vsmear}-SHAM and {σ, Vceil, fsat}-SHAM. They are designed to reproduce the clustering on 5-30 of luminous red galaxies (LRGs), emission-line galaxies (ELGs), and quasi-stellar objects (QSOs) at 0.4 < z < 3.5 from DESI (Dark Energy Spectroscopic Instrument) One Percent Survey. Vceil is the incompleteness of the massive host (sub)haloes and is the key to the generalized SHAM. vsmear models the clustering effect of redshift uncertainties, providing measurements consistent with those from repeat observations. A free satellite fraction fsat is necessary to reproduce the clustering of ELGs. We find ELGs present a more complex galaxy-halo mass relation than LRGs reflected in their weak constraints on σ. LRGs, QSOs, and ELGs show increasing Vceil values, corresponding to the massive galaxy incompleteness of LRGs, the quenched star formation of ELGs and the quenched black hole accretion of QSOs. For LRGs, a Gaussian vsmear presents a better profile for subsamples at redshift bins than a Lorentzian profile used for other tracers. The impact of the statistical redshift uncertainty on ELG clustering is negligible. The best-fitting satellite fraction for DESI ELGs is around 4 per cent, lower than previous estimations for ELGs. The mean halo mass log10((Mvir)) in for LRGs, ELGs, and QSOs are 13.16 ± 0.01, 11.90 ± 0.06, and 12.66 ± 0.45, respectively. Our generalized SHAM algorithms facilitate the production of multitracer galaxy mocks for cosmological tests.
Published: 2023

18. The Early Data Release of the Dark Energy Spectroscopic Instrument

Author: DESI Collaboration, Adame, A. G., Aguilar, J., Ahlen, S., Alam, S., Aldering, G., Alexander, D. M., Alfarsy, R., Prieto, C. Allende, Alvarez, M., Alves, O., Anand, A., Andrade-Oliveira, F., Armengaud, E., Asorey, J., Avila, S., Aviles, A., Bailey, S., Balaguera-Antolínez, A., Ballester, O., Baltay, C., Bault, A., Bautista, J., Behera, J., Beltran, S. F., BenZvi, S., Silva, L. Beraldo e, Bermejo-Climent, J. R., Berti, A., Besuner, R., Beutler, F., Bianchi, D., Blake, C., Blum, R., Bolton, A. S., Brieden, S., Brodzeller, A., Brooks, D., Brown, Z., Buckley-Geer, E., Burtin, E., Cabayol-Garcia, L., Cai, Z., Canning, R., Cardiel-Sas, L., Rosell, A. Carnero, Castander, F. J., Cervantes-Cota, J. L., Chabanier, S., Chaussidon, E., Chaves-Montero, J., Chen, S., Chen, X., Chuang, C., Claybaugh, T., Cole, S., Cooper, A. P., Cuceu, A., Davis, T. M., Dawson, K., de Belsunce, R., de la Cruz, R., de la Macorra, A., Della Costa, J., de Mattia, A., Demina, R., Demirbozan, U., DeRose, J., Dey, A., Dey, B., Dhungana, G., Ding, J., Ding, Z., Doel, P., Doshi, R., Douglass, K., Edge, A., Eftekharzadeh, S., Eisenstein, D. J., Elliott, A., Escoffier, S., Fagrelius, P., Fan, X., Fanning, K., Fawcett, V. A., Ferraro, S., Ereza, J., Flaugher, B., Font-Ribera, A., Forero-Sánchez, D., Forero-Romero, J. E., Frenk, C. S., Gänsicke, B. T., García, L. Á., García-Bellido, J., Garcia-Quintero, C., Garrison, L. H., Gil-Marín, H., Golden-Marx, J., Gontcho, S. Gontcho A, Gonzalez-Morales, A. X., Gonzalez-Perez, V., Gordon, C., Graur, O., Green, D., Gruen, D., Guy, J., Hadzhiyska, B., Hahn, C., Han, J. J., Hanif, M. M. S, Herrera-Alcantar, H. K., Honscheid, K., Hou, J., Howlett, C., Huterer, D., Iršič, V., Ishak, M., Jacques, A., Jana, A., Jiang, L., Jimenez, J., Jing, Y. P., Joudaki, S., Jullo, E., Juneau, S., Kizhuprakkat, N., Karaçaylı, N. G., Karim, T., Kehoe, R., Kent, S., Khederlarian, A., Kim, S., Kirkby, D., Kisner, T., Kitaura, F., Kneib, J., Koposov, S. E., Kovács, A., Kremin, A., Krolewski, A., L'Huillier, B., Lahav, O., Lambert, A., Lamman, C., Lan, T. -W., Landriau, M., Lang, D., Lange, J. U., Lasker, J., Leauthaud, A., Guillou, L. Le, Levi, M. E., Li, T. S., Linder, E., Lyons, A., Magneville, C., Manera, M., Manser, C. J., Margala, D., Martini, P., McDonald, P., Medina, G. E., Medina-Varela, L., Meisner, A., Mena-Fernández, J., Meneses-Rizo, J., Mezcua, M., Miquel, R., Montero-Camacho, P., Moon, J., Moore, S., Moustakas, J., Mueller, E., Mundet, J., Muñoz-Gutiérrez, A., Myers, A. D., Nadathur, S., Napolitano, L., Neveux, R., Newman, J. A., Nie, J., Nikutta, R., Niz, G., Norberg, P., Noriega, H. E., Paillas, E., Palanque-Delabrouille, N., Palmese, A., Zhiwei, P., Parkinson, D., Penmetsa, S., Percival, W. J., Pérez-Fernández, A., Pérez-Ràfols, I., Pieri, M., Poppett, C., Porredon, A., Pothier, S., Prada, F., Pucha, R., Raichoor, A., Ramírez-Pérez, C., Ramirez-Solano, S., Rashkovetskyi, M., Ravoux, C., Rocher, A., Rockosi, C., Ross, A. J., Rossi, G., Ruggeri, R., Ruhlmann-Kleider, V., Sabiu, C. G., Said, K., Saintonge, A., Samushia, L., Sanchez, E., Saulder, C., Schaan, E., Schlafly, E. F., Schlegel, D., Scholte, D., Schubnell, M., Seo, H., Shafieloo, A., Sharples, R., Sheu, W., Silber, J., Sinigaglia, F., Siudek, M., Slepian, Z., Smith, A., Soumagnac, M. T., Sprayberry, D., Stephey, L., Suárez-Pérez, J., Sun, Z., Tan, T., Tarlé, G., Tojeiro, R., Ureña-López, L. A., Vaisakh, R., Valcin, D., Valdes, F., Valluri, M., Vargas-Magaña, M., Variu, A., Verde, L., Walther, M., Wang, B., Wang, M. S., Weaver, B. A., Weaverdyck, N., Wechsler, R. H., White, M., Xie, Y., Yang, J., Yèche, C., Yu, J., Yuan, S., Zhang, H., Zhang, Z., Zhao, C., Zheng, Z., Zhou, R., Zhou, Z., Zou, H., Zou, S., and Zu, Y.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The Dark Energy Spectroscopic Instrument (DESI) completed its five-month Survey Validation in May 2021. Spectra of stellar and extragalactic targets from Survey Validation constitute the first major data sample from the DESI survey. This paper describes the public release of those spectra, the catalogs of derived properties, and the intermediate data products. In total, the public release includes good-quality spectral information from 466,447 objects targeted as part of the Milky Way Survey, 428,758 as part of the Bright Galaxy Survey, 227,318 as part of the Luminous Red Galaxy sample, 437,664 as part of the Emission Line Galaxy sample, and 76,079 as part of the Quasar sample. In addition, the release includes spectral information from 137,148 objects that expand the scope beyond the primary samples as part of a series of secondary programs. Here, we describe the spectral data, data quality, data products, Large-Scale Structure science catalogs, access to the data, and references that provide relevant background to using these spectra., Comment: 43 pages, 7 figures, 17 tables, accepted for publication in the Astronomical Journal
Published: 2023
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19. Validation of the Scientific Program for the Dark Energy Spectroscopic Instrument

Author: DESI Collaboration, Adame, A. G., Aguilar, J., Ahlen, S., Alam, S., Aldering, G., Alexander, D. M., Alfarsy, R., Prieto, C. Allende, Alvarez, M., Alves, O., Anand, A., Andrade-Oliveira, F., Armengaud, E., Asorey, J., Avila, S., Aviles, A., Bailey, S., Balaguera-Antolínez, A., Ballester, O., Baltay, C., Bault, A., Bautista, J., Behera, J., Beltran, S. F., BenZvi, S., Silva, L. Beraldo e, Bermejo-Climent, J. R., Berti, A., Besuner, R., Beutler, F., Bianchi, D., Blake, C., Blum, R., Bolton, A. S., Brieden, S., Brodzeller, A., Brooks, D., Brown, Z., Buckley-Geer, E., Burtin, E., Cabayol-Garcia, L., Cai, Z., Canning, R., Cardiel-Sas, L., Rosell, A. Carnero, Castander, F. J., Cervantes-Cota, J. L., Chabanier, S., Chaussidon, E., Chaves-Montero, J., Chen, S., Chuang, C., Claybaugh, T., Cole, S., Cooper, A. P., Cuceu, A., Davis, T. M., Dawson, K., de Belsunce, R., de la Cruz, R., de la Macorra, A., de Mattia, A., Demina, R., Demirbozan, U., DeRose, J., Dey, A., Dey, B., Dhungana, G., Ding, J., Ding, Z., Doel, P., Doshi, R., Douglass, K., Edge, A., Eftekharzadeh, S., Eisenstein, D. J., Elliott, A., Escoffier, S., Fagrelius, P., Fan, X., Fanning, K., Fawcett, V. A., Ferraro, S., Ereza, J., Flaugher, B., Font-Ribera, A., Forero-Sánchez, D., Forero-Romero, J. E., Frenk, C. S., Gänsicke, B. T., García, L. Á., García-Bellido, J., Garcia-Quintero, C., Garrison, L. H., Gil-Marín, H., Golden-Marx, J., Gontcho, S. Gontcho A, Gonzalez-Morales, A. X., Gonzalez-Perez, V., Gordon, C., Graur, O., Green, D., Gruen, D., Guy, J., Hadzhiyska, B., Hahn, C., Han, J. J., Hanif, M. M. S, Herrera-Alcantar, H. K., Honscheid, K., Hou, J., Howlett, C., Huterer, D., Iršič, V., Ishak, M., Jana, A., Jiang, L., Jimenez, J., Jing, Y. P., Joudaki, S., Joyce, R., Jullo, E., Juneau, S., Kizhuprakkat, N., Karaçaylı, N. G., Karim, T., Kehoe, R., Kent, S., Khederlarian, A., Kim, S., Kirkby, D., Kisner, T., Kitaura, F., Kneib, J., Koposov, S. E., Kovács, A., Kremin, A., Krolewski, A., L'Huillier, B., Lahav, O., Lambert, A., Lamman, C., Lan, T. -W., Landriau, M., Lang, D., Lange, J. U., Lasker, J., Guillou, L. Le, Leauthaud, A., Levi, M. E., Li, T. S., Linder, E., Lyons, A., Magneville, C., Manera, M., Manser, C. J., Margala, D., Martini, P., McDonald, P., Medina, G. E., Medina-Varela, L., Meisner, A., Mena-Fernández, J., Meneses-Rizo, J., Mezcua, M., Miquel, R., Montero-Camacho, P., Moon, J., Moore, S., Moustakas, J., Mueller, E., Mundet, J., Muñoz-Gutiérrez, A., Myers, A. D., Nadathur, S., Napolitano, L., Neveux, R., Newman, J. A., Nie, J., Niz, G., Norberg, P., Noriega, H. E., Paillas, E., Palanque-Delabrouille, N., Palmese, A., Zhiwei, P., Parkinson, D., Penmetsa, S., Percival, W. J., Pérez-Fernández, A., Pérez-Ràfols, I., Pieri, M., Poppett, C., Porredon, A., Prada, F., Pucha, R., Raichoor, A., Ramírez-Pérez, C., Ramirez-Solano, S., Rashkovetskyi, M., Ravoux, C., Rocher, A., Rockosi, C., Ross, A. J., Rossi, G., Ruggeri, R., Ruhlmann-Kleider, V., Sabiu, C. G., Said, K., Saintonge, A., Samushia, L., Sanchez, E., Saulder, C., Schaan, E., Schlafly, E. F., Schlegel, D., Scholte, D., Schubnell, M., Seo, H., Shafieloo, A., Sharples, R., Sheu, W., Silber, J., Sinigaglia, F., Siudek, M., Slepian, Z., Smith, A., Sprayberry, D., Stephey, L., Suárez-Pérez, J., Sun, Z., Tan, T., Tarlé, G., Tojeiro, R., Ureña-López, L. A., Vaisakh, R., Valcin, D., Valdes, F., Valluri, M., Vargas-Magaña, M., Variu, A., Verde, L., Walther, M., Wang, B., Wang, M. S., Weaver, B. A., Weaverdyck, N., Wechsler, R. H., White, M., Xie, Y., Yang, J., Yèche, C., Yu, J., Yuan, S., Zhang, H., Zhang, Z., Zhao, C., Zheng, Z., Zhou, R., Zhou, Z., Zou, H., Zou, S., and Zu, Y.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The Dark Energy Spectroscopic Instrument (DESI) was designed to conduct a survey covering 14,000 deg$^2$ over five years to constrain the cosmic expansion history through precise measurements of Baryon Acoustic Oscillations (BAO). The scientific program for DESI was evaluated during a five month Survey Validation (SV) campaign before beginning full operations. This program produced deep spectra of tens of thousands of objects from each of the stellar (MWS), bright galaxy (BGS), luminous red galaxy (LRG), emission line galaxy (ELG), and quasar target classes. These SV spectra were used to optimize redshift distributions, characterize exposure times, determine calibration procedures, and assess observational overheads for the five-year program. In this paper, we present the final target selection algorithms, redshift distributions, and projected cosmology constraints resulting from those studies. We also present a `One-Percent survey' conducted at the conclusion of Survey Validation covering 140 deg$^2$ using the final target selection algorithms with exposures of a depth typical of the main survey. The Survey Validation indicates that DESI will be able to complete the full 14,000 deg$^2$ program with spectroscopically-confirmed targets from the MWS, BGS, LRG, ELG, and quasar programs with total sample sizes of 7.2, 13.8, 7.46, 15.7, and 2.87 million, respectively. These samples will allow exploration of the Milky Way halo, clustering on all scales, and BAO measurements with a statistical precision of 0.28% over the redshift interval $z<1.1$, 0.39% over the redshift interval $1.1
Published: 2023
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20. Performance of the Quasar Spectral Templates for the Dark Energy Spectroscopic Instrument

Author: Brodzeller, Allyson, Dawson, Kyle, Bailey, Stephen, Yu, Jiaxi, Ross, A. J., Bault, A., Filbert, S., Aguilar, J., Ahlen, S., Alexander, David M., Armengaud, E., Berti, A., Brooks, D., Chaussidon, E., de la Macorra, A., Doel, P., Fanning, K., Fawcett, V. A., Font-Ribera, A., Gontcho, S. Gontcho A, Guy, J., Honscheid, K., Juneau, S., Kehoe, R., Kisner, T., Kremin, Anthony, Lan, Ting-Wen, Landriau, M., Levi, Michael E., Magneville, C., Martini, Paul, Meisner, Aaron M., Miquel, R., Moustakas, J., Palanque-Delabrouille, N., Percival, W. J., Prada, F., Ravoux, C., Rossi, Graziano, Saulder, C., Siudek, M., Tarlé, Gregory, Weaver, B. A., Youles, S., Zheng, Zheng, Zhou, Rongpu, and Zhou, Zhimin
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Millions of quasar spectra will be collected by the Dark Energy Spectroscopic Instrument (DESI), leading to a four-fold increase in the number of known quasars. High accuracy quasar classification is essential to tighten constraints on cosmological parameters measured at the highest redshifts DESI observes ($z>2.0$). We present the spectral templates for identification and redshift estimation of quasars in the DESI Year 1 data release. The quasar templates are comprised of two quasar eigenspectra sets, trained on spectra from the Sloan Digital Sky Survey. The sets are specialized to reconstruct quasar spectral variation observed over separate yet overlapping redshift ranges and, together, are capable of identifying DESI quasars from $0.05 < z <7.0$. The new quasar templates show significant improvement over the previous DESI quasar templates regarding catastrophic failure rates, redshift precision and accuracy, quasar completeness, and the contamination fraction in the final quasar sample., Comment: to be published in Astronomical Journal; 21 pages, 8 figures
Published: 2023
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21. A striking relationship between dust extinction and radio detection in DESI QSOs: evidence for a dusty blow-out phase in red QSOs

Author: Fawcett, VA, Alexander, DM, Brodzeller, A, Edge, AC, Rosario, DJ, Myers, AD, Aguilar, J, Ahlen, S, Alfarsy, R, Brooks, D, Canning, R, Circosta, C, Dawson, K, de la Macorra, A, Doel, P, Fanning, K, Font-Ribera, A, Forero-Romero, JE, Gontcho, S Gontcho A, Guy, J, Harrison, CM, Honscheid, K, Juneau, S, Kehoe, R, Kisner, T, Kremin, A, Landriau, M, Manera, M, Meisner, AM, Miquel, R, Moustakas, J, Nie, J, Percival, WJ, Poppett, C, Pucha, R, Rossi, G, Schlegel, D, Siudek, M, Tarlé, G, Weaver, BA, Zhou, Z, and Zou, H
Subjects: Space Sciences, Physical Sciences, galaxies: active, galaxies: evolution, quasars: general, quasars: supermassive black holes, radio continuum: galaxies, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics, Space sciences
Abstract: We present the first eight months of data from our secondary target programme within the ongoing Dark Energy Spectroscopic Instrument (DESI) survey. Our programme uses a mid-infrared and optical colour selection to preferentially target dust-reddened quasi-stellar objects (QSOs) that would have otherwise been missed by the nominal DESI QSO selection. So far, we have obtained optical spectra for 3038 candidates, of which ∼70 per cent of the high-quality objects (those with robust redshifts) are visually confirmed to be Type 1 QSOs, consistent with the expected fraction from the main DESI QSO survey. By fitting a dust-reddened blue QSO composite to the QSO spectra, we find they are well-fitted by a normal QSO with up to AV ∼4 mag of line-of-sight dust extinction. Utilizing radio data from the LOFAR Two-metre Sky Survey (LoTSS) DR2, we identify a striking positive relationship between the amount of line-of-sight dust extinction towards a QSO and the radio detection fraction, that is not driven by radio-loud systems, redshift and/or luminosity effects. This demonstrates an intrinsic connection between dust reddening and the production of radio emission in QSOs, whereby the radio emission is most likely due to low-powered jets or winds/outflows causing shocks in a dusty environment. On the basis of this evidence, we suggest that red QSOs may represent a transitional 'blow-out' phase in the evolution of QSOs, where winds and outflows evacuate the dust and gas to reveal an unobscured blue QSO.
Published: 2023

22. Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument

Author: Abareshi, B., Aguilar, J., Ahlen, S., Alam, Shadab, Alexander, David M., Alfarsy, R., Allen, L., Prieto, C. Allende, Alves, O., Ameel, J., Armengaud, E., Asorey, J., Aviles, Alejandro, Bailey, S., Balaguera-Antolínez, A., Ballester, O., Baltay, C., Bault, A., Beltran, S. F., Benavides, B., BenZvi, S., Berti, A., Besuner, R., Beutler, Florian, Bianchi, D., Blake, C., Blanc, P., Blum, R., Bolton, A., Bose, S., Bramall, D., Brieden, S., Brodzeller, A., Brooks, D., Brownewell, C., Buckley-Geer, E., Cahn, R. N., Cai, Z., Canning, R., Rosell, A. Carnero, Carton, P., Casas, R., Castander, F. J., Cervantes-Cota, J. L., Chabanier, S., Chaussidon, E., Chuang, C., Circosta, C., Cole, S., Cooper, A. P., da Costa, L., Cousinou, M. -C., Cuceu, A., Davis, T. M., Dawson, K., de la Cruz-Noriega, R., de la Macorra, A., de Mattia, A., Della Costa, J., Demmer, P., Derwent, M., Dey, A., Dey, B., Dhungana, G., Ding, Z., Dobson, C., Doel, P., Donald-McCann, J., Donaldson, J., Douglass, K., Duan, Y., Dunlop, P., Edelstein, J., Eftekharzadeh, S., Eisenstein, D. J., Enriquez-Vargas, M., Escoffier, S., Evatt, M., Fagrelius, P., Fan, X., Fanning, K., Fawcett, V. A., Ferraro, S., Ereza, J., Flaugher, B., Font-Ribera, A., Forero-Romero, J. E., Frenk, C. S., Fromenteau, S., Gänsicke, B. T., Garcia-Quintero, C., Garrison, L., Gaztañaga, E., Gerardi, F., Gil-Marín, H., Gontcho, S. Gontcho A, Gonzalez-Morales, Alma X., Gonzalez-de-Rivera, G., Gonzalez-Perez, V., Gordon, C., Graur, O., Green, D., Grove, C., Gruen, D., Gutierrez, G., Guy, J., Hahn, C., Harris, S., Herrera, D., Herrera-Alcantar, Hiram K., Honscheid, K., Howlett, C., Huterer, D., Iršič, V., Ishak, M., Jelinsky, P., Jiang, L., Jimenez, J., Jing, Y. P., Joyce, R., Jullo, E., Juneau, S., Karaçaylı, N. G., Karamanis, M., Karcher, A., Karim, T., Kehoe, R., Kent, S., Kirkby, D., Kisner, T., Kitaura, F., Koposov, S. E., Kovács, A., Kremin, A., Krolewski, Alex, L'Huillier, B., Lahav, O., Lambert, A., Lamman, C., Lan, Ting-Wen, Landriau, M., Lane, S., Lang, D., Lange, J. U., Lasker, J., Guillou, L. Le, Leauthaud, A., Van Suu, A. Le, Levi, Michael E., Li, T. S., Magneville, C., Manera, M., Manser, Christopher J., Marshall, B., McCollam, W., McDonald, P., Meisner, Aaron M., Mezcua, J. Mena-Fernández M., Miller, T., Miquel, R., Montero-Camacho, P., Moon, J., Martini, J. Paul, Meneses-Rizo, J., Moustakas, J., Mueller, E., Muñoz-Gutiérrez, Andrea, Myers, Adam D., Nadathur, S., Najita, J., Napolitano, L., Neilsen, E., Newman, Jeffrey A., Nie, J. D., Ning, Y., Niz, G., Norberg, P., Noriega, Hernán E., O'Brien, T., Obuljen, A., Palanque-Delabrouille, N., Palmese, A., Zhiwei, P., Pappalardo, D., Peng, X., Percival, W. J., Perruchot, S., Pogge, R., Poppett, C., Porredon, A., Prada, F., Prochaska, J., Pucha, R., Pérez-Fernández, A., Pérez-Ráfols, I., Rabinowitz, D., Raichoor, A., Ramirez-Solano, S., Ramírez-Pérez, César, Ravoux, C., Reil, K., Rezaie, M., Rocher, A., Rockosi, C., Roe, N. A., Roodman, A., Ross, A. J., Rossi, G., Ruggeri, R., Ruhlmann-Kleider, V., Sabiu, C. G., Safonova, S., Said, K., Saintonge, A., Catonga, Javier Salas, Samushia, L., Sanchez, E., Saulder, C., Schaan, E., Schlafly, E., Schlegel, D., Schmoll, J., Scholte, D., Schubnell, M., Secroun, A., Seo, H., Serrano, S., Sharples, Ray M., Sholl, Michael J., Silber, Joseph Harry, Silva, D. R., Sirk, M., Siudek, M., Smith, A., Sprayberry, D., Staten, R., Stupak, B., Tan, T., Tarlé, Gregory, Tie, Suk Sien, Tojeiro, R., Ureña-López, L. A., Valdes, F., Valenzuela, O., Valluri, M., Vargas-Magaña, M., Verde, L., Walther, M., Wang, B., Wang, M. S., Weaver, B. A., Weaverdyck, C., Wechsler, R., Wilson, Michael J., Yang, J., Yu, Y., Yuan, S., Yèche, Christophe, Zhang, H., Zhang, K., Zhao, Cheng, Zhou, Rongpu, Zhou, Zhimin, Zou, H., Zou, J., Zou, S., and Zu, Y.
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The Dark Energy Spectroscopic Instrument (DESI) has embarked on an ambitious five-year survey to explore the nature of dark energy with spectroscopy of 40 million galaxies and quasars. DESI will determine precise redshifts and employ the Baryon Acoustic Oscillation method to measure distances from the nearby universe to z > 3.5, as well as measure the growth of structure and probe potential modifications to general relativity. In this paper we describe the significant instrumentation we developed for the DESI survey. The new instrumentation includes a wide-field, 3.2-deg diameter prime-focus corrector that focuses the light onto 5020 robotic fiber positioners on the 0.812 m diameter, aspheric focal surface. The positioners and their fibers are divided among ten wedge-shaped petals. Each petal is connected to one of ten spectrographs via a contiguous, high-efficiency, nearly 50 m fiber cable bundle. The ten spectrographs each use a pair of dichroics to split the light into three channels that together record the light from 360 - 980 nm with a resolution of 2000 to 5000. We describe the science requirements, technical requirements on the instrumentation, and management of the project. DESI was installed at the 4-m Mayall telescope at Kitt Peak, and we also describe the facility upgrades to prepare for DESI and the installation and functional verification process. DESI has achieved all of its performance goals, and the DESI survey began in May 2021. Some performance highlights include RMS positioner accuracy better than 0.1", SNR per \sqrt{\AA} > 0.5 for a z > 2 quasar with flux 0.28e-17 erg/s/cm^2/A at 380 nm in 4000s, and median SNR = 7 of the [OII] doublet at 8e-17 erg/s/cm^2 in a 1000s exposure for emission line galaxies at z = 1.4 - 1.6. We conclude with highlights from the on-sky validation and commissioning of the instrument, key successes, and lessons learned. (abridged), Comment: 78 pages, 32 figures, submitted to AJ
Published: 2022
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23. Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument

Author: Collaboration, DESI, Abareshi, B, Aguilar, J, Ahlen, S, Alam, Shadab, Alexander, David M, Alfarsy, R, Allen, L, Prieto, C Allende, Alves, O, Ameel, J, Armengaud, E, Asorey, J, Aviles, Alejandro, Bailey, S, Balaguera-Antolínez, A, Ballester, O, Baltay, C, Bault, A, Beltran, SF, Benavides, B, BenZvi, S, Berti, A, Besuner, R, Beutler, Florian, Bianchi, D, Blake, C, Blanc, P, Blum, R, Bolton, A, Bose, S, Bramall, D, Brieden, S, Brodzeller, A, Brooks, D, Brownewell, C, Buckley-Geer, E, Cahn, RN, Cai, Z, Canning, R, Capasso, R, Rosell, A Carnero, Carton, P, Casas, R, Castander, FJ, Cervantes-Cota, JL, Chabanier, S, Chaussidon, E, Chuang, C, Circosta, C, Cole, S, Cooper, AP, da Costa, L, Cousinou, M-C, Cuceu, A, Davis, TM, Dawson, K, de la Cruz-Noriega, R, de la Macorra, A, de Mattia, A, Della Costa, J, Demmer, P, Derwent, M, Dey, A, Dey, B, Dhungana, G, Ding, Z, Dobson, C, Doel, P, Donald-McCann, J, Donaldson, J, Douglass, K, Duan, Y, Dunlop, P, Edelstein, J, Eftekharzadeh, S, Eisenstein, DJ, Enriquez-Vargas, M, Escoffier, S, Evatt, M, Fagrelius, P, Fan, X, Fanning, K, Fawcett, VA, Ferraro, S, Ereza, J, Flaugher, B, Font-Ribera, A, Forero-Romero, JE, Frenk, CS, Fromenteau, S, Gänsicke, BT, Garcia-Quintero, C, Garrison, L, Gaztañaga, E, Gerardi, F, Gil-Marín, H, Gontcho, S Gontcho A, Gonzalez-Morales, Alma X, and Gonzalez-de-Rivera, G
Subjects: Astronomical and Space Sciences, Astronomy & Astrophysics
Abstract: The Dark Energy Spectroscopic Instrument (DESI) embarked on an ambitious 5 yr survey in 2021 May to explore the nature of dark energy with spectroscopic measurements of 40 million galaxies and quasars. DESI will determine precise redshifts and employ the baryon acoustic oscillation method to measure distances from the nearby universe to beyond redshift z > 3.5, and employ redshift space distortions to measure the growth of structure and probe potential modifications to general relativity. We describe the significant instrumentation we developed to conduct the DESI survey. This includes: a wide-field, 3.°2 diameter prime-focus corrector; a focal plane system with 5020 fiber positioners on the 0.812 m diameter, aspheric focal surface; 10 continuous, high-efficiency fiber cable bundles that connect the focal plane to the spectrographs; and 10 identical spectrographs. Each spectrograph employs a pair of dichroics to split the light into three channels that together record the light from 360-980 nm with a spectral resolution that ranges from 2000-5000. We describe the science requirements, their connection to the technical requirements, the management of the project, and interfaces between subsystems. DESI was installed at the 4 m Mayall Telescope at Kitt Peak National Observatory and has achieved all of its performance goals. Some performance highlights include an rms positioner accuracy of better than 0.″1 and a median signal-to-noise ratio of 7 of the [O ii] doublet at 8 × 10-17 erg s-1 cm-2 in 1000 s for galaxies at z = 1.4-1.6. We conclude with additional highlights from the on-sky validation and commissioning, key successes, and lessons learned.
Published: 2022

24. Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument

Author: Abareshi, B, Aguilar, J, Ahlen, S, Alam, Shadab, Alexander, David M, Alfarsy, R, Allen, L, Prieto, C Allende, Alves, O, Ameel, J, Armengaud, E, Asorey, J, Aviles, Alejandro, Bailey, S, Balaguera-Antolínez, A, Ballester, O, Baltay, C, Bault, A, Beltran, SF, Benavides, B, BenZvi, S, Berti, A, Besuner, R, Beutler, Florian, Bianchi, D, Blake, C, Blanc, P, Blum, R, Bolton, A, Bose, S, Bramall, D, Brieden, S, Brodzeller, A, Brooks, D, Brownewell, C, Buckley-Geer, E, Cahn, RN, Cai, Z, Canning, R, Rosell, A Carnero, Carton, P, Casas, R, Castander, FJ, Cervantes-Cota, JL, Chabanier, S, Chaussidon, E, Chuang, C, Circosta, C, Cole, S, Cooper, AP, Costa, L da, Cousinou, M-C, Cuceu, A, Davis, TM, Dawson, K, Cruz-Noriega, R de la, Macorra, A de la, Mattia, A de, Costa, J Della, Demmer, P, Derwent, M, Dey, A, Dey, B, Dhungana, G, Ding, Z, Dobson, C, Doel, P, Donald-McCann, J, Donaldson, J, Douglass, K, Duan, Y, Dunlop, P, Edelstein, J, Eftekharzadeh, S, Eisenstein, DJ, Enriquez-Vargas, M, Escoffier, S, Evatt, M, Fagrelius, P, Fan, X, Fanning, K, Fawcett, VA, Ferraro, S, Ereza, J, Flaugher, B, Font-Ribera, A, Forero-Romero, JE, Frenk, CS, Fromenteau, S, Gänsicke, BT, Garcia-Quintero, C, Garrison, L, Gaztañaga, E, Gerardi, F, Gil-Marín, H, Gontcho, S Gontcho A, Gonzalez-Morales, Alma X, Gonzalez-de-Rivera, G, Gonzalez-Perez, V, and Gordon, C
Subjects: astro-ph.IM, astro-ph.CO
Abstract: The Dark Energy Spectroscopic Instrument (DESI) has embarked on an ambitiousfive-year survey to explore the nature of dark energy with spectroscopy of 40million galaxies and quasars. DESI will determine precise redshifts and employthe Baryon Acoustic Oscillation method to measure distances from the nearbyuniverse to z > 3.5, as well as measure the growth of structure and probepotential modifications to general relativity. In this paper we describe thesignificant instrumentation we developed for the DESI survey. The newinstrumentation includes a wide-field, 3.2-deg diameter prime-focus correctorthat focuses the light onto 5020 robotic fiber positioners on the 0.812 mdiameter, aspheric focal surface. The positioners and their fibers are dividedamong ten wedge-shaped petals. Each petal is connected to one of tenspectrographs via a contiguous, high-efficiency, nearly 50 m fiber cablebundle. The ten spectrographs each use a pair of dichroics to split the lightinto three channels that together record the light from 360 - 980 nm with aresolution of 2000 to 5000. We describe the science requirements, technicalrequirements on the instrumentation, and management of the project. DESI wasinstalled at the 4-m Mayall telescope at Kitt Peak, and we also describe thefacility upgrades to prepare for DESI and the installation and functionalverification process. DESI has achieved all of its performance goals, and theDESI survey began in May 2021. Some performance highlights include RMSpositioner accuracy better than 0.1", SNR per \sqrt{\AA} > 0.5 for a z > 2quasar with flux 0.28e-17 erg/s/cm^2/A at 380 nm in 4000s, and median SNR = 7of the [OII] doublet at 8e-17 erg/s/cm^2 in a 1000s exposure for emission linegalaxies at z = 1.4 - 1.6. We conclude with highlights from the on-skyvalidation and commissioning of the instrument, key successes, and lessonslearned. (abridged)
Published: 2022

25. Modeling the Spectral Diversity of Quasars in the Sixteenth Data Release from the Sloan Digital Sky Survey

Author: Brodzeller, Allyson and Dawson, Kyle
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: We present a new approach to capturing the broad diversity of emission line and continuum properties in quasar spectra. We identify populations of spectrally similar quasars through pixel-level clustering on 12,968 high signal-to-noise spectra from the Sloan Digital Sky Survey (SDSS) in the redshift range of $1.57
Published: 2021
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26. Fracking in Texas: Effects on Economic Development and Future Outlook

Author: Brodzeller, Molly, Leidinger, Konstantin P., Lorenz, Korbinian, Piccinelli, Francesca Cotti, Reber, David, Audretsch, David B., editor, Civera, Alice, editor, Lehmann, Erik E., editor, Leidinger, Konstantin P., editor, Otto, Jonah M., editor, Weiße, Laurenz, editor, and Wirsching, Katharine, editor
Published: 2023
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27. Validation of the Scientific Program for the Dark Energy Spectroscopic Instrument

Author: DESI Collaboration, A. G. Adame, J. Aguilar, S. Ahlen, S. Alam, G. Aldering, D. M. Alexander, R. Alfarsy, C. Allende Prieto, M. Alvarez, O. Alves, A. Anand, F. Andrade-Oliveira, E. Armengaud, J. Asorey, S. Avila, A. Aviles, S. Bailey, A. Balaguera-Antolínez, O. Ballester, C. Baltay, A. Bault, J. Bautista, J. Behera, S. F. Beltran, S. BenZvi, L. Beraldo e Silva, J. R. Bermejo-Climent, A. Berti, R. Besuner, F. Beutler, D. Bianchi, C. Blake, R. Blum, A. S. Bolton, S. Brieden, A. Brodzeller, D. Brooks, Z. Brown, E. Buckley-Geer, E. Burtin, L. Cabayol-Garcia, Z. Cai, R. Canning, L. Cardiel-Sas, A. Carnero Rosell, F. J. Castander, J. L. Cervantes-Cota, S. Chabanier, E. Chaussidon, J. Chaves-Montero, S. Chen, X. Chen, C. Chuang, T. Claybaugh, S. Cole, A. P. Cooper, A. Cuceu, T. M. Davis, K. Dawson, R. de Belsunce, R. de la Cruz, A. de la Macorra, A. de Mattia, R. Demina, U. Demirbozan, J. DeRose, A. Dey, B. Dey, G. Dhungana, J. Ding, Z. Ding, P. Doel, R. Doshi, K. Douglass, A. Edge, S. Eftekharzadeh, D. J. Eisenstein, A. Elliott, S. Escoffier, P. Fagrelius, X. Fan, K. Fanning, V. A. Fawcett, S. Ferraro, J. Ereza, B. Flaugher, A. Font-Ribera, D. Forero-Sánchez, J. E. Forero-Romero, C. S. Frenk, B. T. Gänsicke, L. Á. García, J. García-Bellido, C. Garcia-Quintero, L. H. Garrison, H. Gil-Marín, J. Golden-Marx, S. Gontcho A Gontcho, A. X. Gonzalez-Morales, V. Gonzalez-Perez, C. Gordon, O. Graur, D. Green, D. Gruen, J. Guy, B. Hadzhiyska, C. Hahn, J. J. Han, M. M. S Hanif, H. K. Herrera-Alcantar, K. Honscheid, J. Hou, C. Howlett, D. Huterer, V. Iršič, M. Ishak, A. Jana, L. Jiang, J. Jimenez, Y. P. Jing, S. Joudaki, E. Jullo, R. Joyce, S. Juneau, N. Kizhuprakkat, N. G. Karaçaylı, T. Karim, R. Kehoe, S. Kent, A. Khederlarian, S. Kim, D. Kirkby, T. Kisner, F. Kitaura, J. Kneib, S. E. Koposov, A. Kovács, A. Kremin, A. Krolewski, B. L’Huillier, O. Lahav, A. Lambert, C. Lamman, T.-W. Lan, M. Landriau, D. Lang, J. U. Lange, J. Lasker, L. Le Guillou, A. Leauthaud, M. E. Levi, T. S. Li, E. Linder, A. Lyons, C. Magneville, M. Manera, C. J. Manser, D. Margala, P. Martini, P. McDonald, G. E. Medina, L. Medina-Varela, A. Meisner, J. Mena-Fernández, J. Meneses-Rizo, M. Mezcua, R. Miquel, P. Montero-Camacho, J. Moon, S. Moore, J. Moustakas, E. Mueller, J. Mundet, A. Muñoz-Gutiérrez, A. D. Myers, S. Nadathur, L. Napolitano, R. Neveux, J. A. Newman, J. Nie, G. Niz, P. Norberg, H. E. Noriega, E. Paillas, N. Palanque-Delabrouille, A. Palmese, P. Zhiwei, D. Parkinson, S. Penmetsa, W. J. Percival, A. Pérez-Fernández, I. Pérez-Ràfols, M. Pieri, C. Poppett, A. Porredon, F. Prada, R. Pucha, A. Raichoor, C. Ramírez-Pérez, S. Ramirez-Solano, M. Rashkovetskyi, C. Ravoux, A. Rocher, C. Rockosi, A. J. Ross, G. Rossi, R. Ruggeri, V. Ruhlmann-Kleider, C. G. Sabiu, K. Said, A. Saintonge, L. Samushia, E. Sanchez, C. Saulder, E. Schaan, E. F. Schlafly, D. Schlegel, D. Scholte, M. Schubnell, H. Seo, A. Shafieloo, R. Sharples, W. Sheu, J. Silber, F. Sinigaglia, M. Siudek, Z. Slepian, A. Smith, D. Sprayberry, L. Stephey, J. Suárez-Pérez, Z. Sun, T. Tan, G. Tarlé, R. Tojeiro, L. A. Ureña-López, R. Vaisakh, D. Valcin, F. Valdes, M. Valluri, M. Vargas-Magaña, A. Variu, L. Verde, M. Walther, B. Wang, M. S. Wang, B. A. Weaver, N. Weaverdyck, R. H. Wechsler, M. White, Y. Xie, J. Yang, C. Yèche, J. Yu, S. Yuan, H. Zhang, Z. Zhang, C. Zhao, Z. Zheng, R. Zhou, Z. Zhou, H. Zou, S. Zou, and Y. Zu
Subjects: Cosmology, Redshift surveys, Astronomy, QB1-991
Abstract: The Dark Energy Spectroscopic Instrument (DESI) was designed to conduct a survey covering 14,000 deg ^2 over 5 yr to constrain the cosmic expansion history through precise measurements of baryon acoustic oscillations (BAO). The scientific program for DESI was evaluated during a 5 month survey validation (SV) campaign before beginning full operations. This program produced deep spectra of tens of thousands of objects from each of the stellar Milky Way Survey (MWS), Bright Galaxy Survey (BGS), luminous red galaxy (LRG), emission line galaxy (ELG), and quasar target classes. These SV spectra were used to optimize redshift distributions, characterize exposure times, determine calibration procedures, and assess observational overheads for the 5 yr program. In this paper, we present the final target selection algorithms, redshift distributions, and projected cosmology constraints resulting from those studies. We also present a One-Percent Survey conducted at the conclusion of SV covering 140 deg ^2 using the final target selection algorithms with exposures of a depth typical of the main survey. The SV indicates that DESI will be able to complete the full 14,000 deg ^2 program with spectroscopically confirmed targets from the MWS, BGS, LRG, ELG, and quasar programs with total sample sizes of 7.2, 13.8, 7.46, 15.7, and 2.87 million, respectively. These samples will allow exploration of the Milky Way halo, clustering on all scales, and BAO measurements with a statistical precision of 0.28% over the redshift interval z < 1.1, 0.39% over the redshift interval 1.1 < z < 1.9, and 0.46% over the redshift interval 1.9 < z < 3.5.
Published: 2024
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28. Interventions and Adaptations for Children with Autism Spectrum Disorder in Inclusive Early Childhood Settings

Author: Brodzeller, Katharine L., Ottley, Jennifer R., Jung, Jeesun, and Coogle, Christan G.
Abstract: The inclusive education of children with disabilities is considered best practice, yet many early childhood educators feel unprepared to deliver appropriate instruction for children with disabilities and often require supports to successfully meet the children's unique needs. Young children experiencing autism spectrum disorder are being diagnosed at a young age and they are commonly receiving their education within inclusive early childhood settings. This article presents two methods to meet the needs of children with autism spectrum disorder. First, early childhood educators can provide interventions tailored to the children's learning needs. Second, educators can adapt the environment, materials, activity, instruction, and assistance they provide so that each child is appropriately supported, while still being encouraged to succeed as independently as possible. This article summarizes research-based interventions and adaptations that early childhood educators can implement within inclusive settings to meet the diverse needs of young children with autism spectrum disorder and presents a case study to describe how these practices can support young children with autism spectrum disorder within inclusive settings.
Published: 2018
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29. 3D correlations in the Lyman-α forest from early DESI data

Author: Gordon, C., primary, Cuceu, A., additional, Chaves-Montero, J., additional, Font-Ribera, A., additional, González-Morales, A.X., additional, Aguilar, J., additional, Ahlen, S., additional, Armengaud, E., additional, Bailey, S., additional, Bault, A., additional, Brodzeller, A., additional, Brooks, D., additional, Claybaugh, T., additional, de la Cruz, R., additional, Dawson, K., additional, Doel, P., additional, Forero-Romero, J.E., additional, Gontcho, S.Gontcho A., additional, Guy, J., additional, Herrera-Alcantar, H.K., additional, Iršič, V., additional, Karaçaylı, N.G., additional, Kirkby, D., additional, Landriau, M., additional, Le Guillou, L., additional, Levi, M.E., additional, de la Macorra, A., additional, Manera, M., additional, Martini, P., additional, Meisner, A., additional, Miquel, R., additional, Montero-Camacho, P., additional, Muñoz-Gutiérrez, A., additional, Napolitano, L., additional, Nie, J., additional, Niz, G., additional, Palanque-Delabrouille, N., additional, Percival, W.J., additional, Pieri, M., additional, Poppett, C., additional, Prada, F., additional, Pérez-Ràfols, I., additional, Ramírez-Pérez, C., additional, Ravoux, C., additional, Rezaie, M., additional, Ross, A.J., additional, Rossi, G., additional, Sanchez, E., additional, Schlegel, D., additional, Schubnell, M., additional, Seo, H., additional, Sinigaglia, F., additional, Tan, T., additional, Tarlé, G., additional, Walther, M., additional, Weaver, B.A., additional, Yèche, C., additional, Zhou, Z., additional, and Zou, H., additional
Published: 2023
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30. Performance of the Quasar Spectral Templates for the Dark Energy Spectroscopic Instrument

Author: Brodzeller, Allyson, primary, Dawson, Kyle, additional, Bailey, Stephen, additional, Yu, Jiaxi, additional, Ross, A. J., additional, Bault, A., additional, Filbert, S., additional, Aguilar, J., additional, Ahlen, S., additional, Alexander, David M., additional, Armengaud, E., additional, Berti, A., additional, Brooks, D., additional, Chaussidon, E., additional, de la Macorra, A., additional, Doel, P., additional, Fanning, K., additional, Fawcett, V. A., additional, Font-Ribera, A., additional, A Gontcho, S. Gontcho, additional, Guy, J., additional, Honscheid, K., additional, Juneau, S., additional, Kehoe, R., additional, Kisner, T., additional, Kremin, Anthony, additional, Lan, Ting-Wen, additional, Landriau, M., additional, Levi, Michael E., additional, Magneville, C., additional, Martini, Paul, additional, Meisner, Aaron M., additional, Miquel, R., additional, Moustakas, J., additional, Palanque-Delabrouille, N., additional, Percival, W. J., additional, Prada, F., additional, Ravoux, C., additional, Rossi, Graziano, additional, Saulder, C., additional, Siudek, M., additional, Tarlé, Gregory, additional, Weaver, B. A., additional, Youles, S., additional, Zheng, Zheng, additional, Zhou, Rongpu, additional, and Zhou, Zhimin, additional
Published: 2023
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31. Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument

Author: DESI Collaboration, Abareshi, B., Aguilar, J., Ahlen, S., Alam, Shadab, Alexander, David M., Alfarsy, R., Allen, L., Prieto, C. Allende, Alves, O., Ameel, J., Armengaud, E., Asorey, J., Aviles, Alejandro, Bailey, S., Balaguera-Antolínez, A., Ballester, O., Baltay, C., Bault, A., Beltran, S. F., Benavides, B., BenZvi, S., Berti, A., Besuner, R., Beutler, Florian, Bianchi, D., Blake, C., Blanc, P., Blum, R., Bolton, A., Bose, S., Bramall, D., Brieden, S., Brodzeller, A., Brooks, D., Brownewell, C., Buckley-Geer, E., Cahn, R. N., Cai, Z., Canning, R., Capasso, R., Rosell, A. Carnero, Carton, P., Casas, R., Castander, F. J., Cervantes-Cota, J. L., Chabanier, S., Chaussidon, E., Chuang, C., Circosta, C., Cole, S., Cooper, A. P., Costa, L. Da, Cousinou, M.-C., Cuceu, A., Davis, T. M., Dawson, K., Cruz-Noriega, R. De La, Macorra, A. De La, Mattia, A. De, Costa, J. Della, Demmer, P., Derwent, M., Dey, A., Dey, B., Dhungana, G., Ding, Z., Dobson, C., Doel, P., Donald-McCann, J., Donaldson, J., Douglass, K., Duan, Y., Dunlop, P., Edelstein, J., Eftekharzadeh, S., Eisenstein, D. J., Enriquez-Vargas, M., Escoffier, S., Evatt, M., Fagrelius, P., Fan, X., Fanning, K., Fawcett, V. A., Ferraro, S., Ereza, J., Flaugher, B., Font-Ribera, A., Forero-Romero, J. E., Frenk, C. S., Fromenteau, S., Gänsicke, B. T., Garcia-Quintero, C., Garrison, L., Gaztañaga, E., Gerardi, F., Gil-Marín, H., A Gontcho, S. Gontcho, Gonzalez-Morales, Alma X., Gonzalez-De-Rivera, G., Gonzalez-Perez, V., Gordon, C., Graur, O., Green, D., Grove, C., Gruen, D., Gutierrez, G., Guy, J., Hahn, C., Harris, S., Herrera, D., Herrera-Alcantar, Hiram K., Honscheid, K., Howlett, C., Huterer, D., Iršič, V., Ishak, M., Jelinsky, P., Jiang, L., Jimenez, J., Jing, Y. P., Joyce, R., Jullo, E., Juneau, S., Karaçaylı, N. G., Karamanis, M., Karcher, A., Karim, T., Kehoe, R., Kent, S., Kirkby, D., Kisner, T., Kitaura, F., Koposov, S. E., Kovács, A., Kremin, A., Krolewski, Alex, L’Huillier, B., Lahav, O., Lambert, A., Lamman, C., Lan, Ting-Wen, Landriau, M., Lane, S., Lang, D., Lange, J. U., Lasker, J., Guillou, L. Le, Leauthaud, A., Van Suu, A. Le, Levi, Michael E., Li, T. S., Magneville, C., Manera, M., Manser, Christopher J., Marshall, B., Martini, Paul, McCollam, W., McDonald, P., Meisner, Aaron M., Mena-Fernández, J., Meneses-Rizo, J., Mezcua, M., Miller, T., Miquel, R., Montero-Camacho, P., Moon, J., Moustakas, J., Mueller, E., Muñoz-Gutiérrez, Andrea, Myers, Adam D., Nadathur, S., Najita, J., Napolitano, L., Neilsen, E., Newman, Jeffrey A., Nie, J. D., Ning, Y., Niz, G., Norberg, P., Noriega, Hernán E., O’Brien, T., Obuljen, A., Palanque-Delabrouille, N., Palmese, A., Zhiwei, P., Pappalardo, D., PENG, X., Percival, W. J., Perruchot, S., Pogge, R., Poppett, C., Porredon, A., Prada, F., Prochaska, J., Pucha, R., Pérez-Fernández, A., Pérez-Ràfols, I., Rabinowitz, D., Raichoor, A., Ramirez-Solano, S., Ramírez-Pérez, César, Ravoux, C., Reil, K., Rezaie, M., Rocher, A., Rockosi, C., Roe, N. A., Roodman, A., Ross, A. J., Rossi, G., Ruggeri, R., Ruhlmann-Kleider, V., Sabiu, C. G., Safonova, S., Said, K., Saintonge, A., Catonga, Javier Salas, Samushia, L., Sanchez, E., Saulder, C., Schaan, E., Schlafly, E., Schlegel, D., Schmoll, J., Scholte, D., Schubnell, M., Secroun, A., Seo, H., Serrano, S., Sharples, Ray M., Sholl, Michael J., Silber, Joseph Harry, Silva, D. R., Sirk, M., Siudek, M., Smith, A., Sprayberry, D., Staten, R., Stupak, B., Tan, T., Tarlé, Gregory, Tie, Suk Sien, Tojeiro, R., Ureña-López, L. A., Valdes, F., Valenzuela, O., Valluri, M., Vargas-Magaña, M., Verde, L., Walther, M., Wang, B., Wang, M. S., Weaver, B. A., Weaverdyck, C., Wechsler, R., Wilson, Michael J., Yang, J., Yu, Y., Yuan, S., Yèche, Christophe, Zhang, H., Zhang, K., Zhao, Cheng, Zhou, Rongpu, Zhou, Zhimin, Zou, H., Zou, J., Zou, S., Zu, Y., Aguilar, J. [0000-0003-0822-452X], Ahlen, S. [0000-0001-6098-7247], Alam, Shadab [0000-0002-3757-6359], Alexander, David M. [0000-0002-5896-6313], Allen, L. [0000-0002-7789-5119], Prieto, C. Allende [0000-0002-0084-572X], Ameel, J. [0000-0003-3638-2584], Asorey, J. [0000-0002-6211-499X], Bailey, S. [0000-0003-4162-6619], Balaguera-Antolínez, A. [0000-0001-5028-3035], Ballester, O. [0000-0002-7126-5300], Bault, A. [0000-0002-9964-1005], Beltran, S. F. [0000-0001-6324-4019], Berti, A. [0000-0003-3582-6649], Beutler, Florian [0000-0003-0467-5438], Bose, S. [0000-0002-0974-5266], Brieden, S. [0000-0003-3896-9215], Brodzeller, A. [0000-0002-8934-0954], Brooks, D. [0000-0002-8458-5047], Cahn, R. N. [0000-0003-2748-0641], Cai, Z. [0000-0001-8467-6478], Capasso, R. [0000-0002-3083-6840], Rosell, A. Carnero [0000-0003-3044-5150], Castander, F. J. [0000-0001-7316-4573], Cervantes-Cota, J. L. [0000-0002-3057-6786], Chabanier, S. [0000-0002-5692-5243], Chaussidon, E. [0000-0001-8996-4874], Chuang, C. [0000-0002-3882-078X], Cole, S. [0000-0002-5954-7903], Cooper, A. P. [0000-0001-8274-158X], Cuceu, A. [0000-0002-2169-0595], Davis, T. M. [0000-0002-4213-8783], Dawson, K. [0000-0002-0553-3805], Costa, J. Della [0000-0003-0928-2000], Dey, A. [0000-0002-4928-4003], Dey, B. [0000-0002-5665-7912], Dhungana, G. [0000-0002-5402-1216], Ding, Z. [0000-0002-3369-3718], Douglass, K. [0000-0002-9540-546X], Duan, Y. [0000-0002-2611-0895], Eisenstein, D. J. [0000-0002-2929-3121], Escoffier, S. [0000-0002-2847-7498], Fan, X. [0000-0003-3310-0131], Fawcett, V. A. [0000-0003-1251-532X], Ereza, J. [0000-0002-0194-4017], Frenk, C. S. [0000-0002-2338-716X], Gänsicke, B. T. [0000-0002-2761-3005], Garrison, L. [0000-0002-9853-5673], Gaztañaga, E. [0000-0001-9632-0815], Gonzalez-Morales, Alma X. [0000-0003-4089-6924], Gonzalez-de-Rivera, G. [0000-0003-4452-743X], Gonzalez-Perez, V. [0000-0001-9938-2755], Graur, O. [0000-0002-4391-6137], Green, D. [0000-0002-0676-3661], Gruen, D. [0000-0003-3270-7644], Hahn, C. [0000-0003-1197-0902], Herrera, D. [0000-0003-2092-6727], Herrera-Alcantar, Hiram K. [0000-0002-9136-9609], Huterer, D. [0000-0001-6558-0112], Iršič, V. [0000-0002-5445-461X], Ishak, M. [0000-0002-6024-466X], Jiang, L. [0000-0003-4176-6486], Jing, Y. P. [0000-0002-4534-3125], Joyce, R. [0000-0003-0201-5241], Jullo, E. [0000-0002-9253-053X], Juneau, S. [0000-0002-0000-2394], Karaçaylı, N. G. [0000-0001-7336-8912], Karamanis, M. [0000-0001-9489-4612], Karim, T. [0000-0002-5652-8870], Kehoe, R. [0000-0002-7101-697X], Kent, S. [0000-0003-4207-7420], Kirkby, D. [0000-0002-8828-5463], Kisner, T. [0000-0003-3510-7134], Koposov, S. E. [0000-0003-2644-135X], Kovács, A. [0000-0002-5825-579X], Kremin, A. [0000-0001-6356-7424], L’Huillier, B. [0000-0003-2934-6243], Landriau, M. [0000-0003-1838-8528], Lang, D. [0000-0002-1172-0754], Lasker, J. [0000-0003-2999-4873], Guillou, L. Le [0000-0001-7178-8868], Leauthaud, A. [0000-0002-3677-3617], Van Suu, A. Le [0000-0001-5488-783X], Levi, Michael E. [0000-0003-1887-1018], Li, T. S. [0000-0002-9110-6163], Manser, Christopher J. [0000-0003-1543-5405], Martini, Paul [0000-0002-0194-4017], McDonald, P. [0000-0001-8346-8394], Meisner, Aaron M. [0000-0002-1125-7384], Mena-Fernández, J. [0000-0001-9497-7266], Meneses-Rizo, J. [0000-0003-3201-9788], Miquel, R. [0000-0002-6610-4836], Moustakas, J. [0000-0002-2733-4559], Nadathur, S. [0000-0001-9070-3102], Neilsen, E. [0000-0002-7357-0317], Newman, Jeffrey A. [0000-0001-8684-2222], Nie, J. D. [0000-0001-6590-8122], Ning, Y. [0000-0001-9442-1217], Niz, G. [0000-0002-1544-8946], Norberg, P. [0000-0002-5875-0440], Noriega, Hernán E. [0000-0002-3397-3998], Obuljen, A. [0000-0002-9012-6621], Palanque-Delabrouille, N. [0000-0003-3188-784], PENG, X. [0000-0002-3784-830X], Percival, W. J. [0000-0002-0644-5727], Pogge, R. [0000-0003-1435-3053], Porredon, A. [0000-0002-2762-2024], Prada, F. [0000-0001-7145-8674], Prochaska, J. [0000-0002-7738-6875], Pucha, R. [0000-0002-4940-3009], Pérez-Ràfols, I. [0000-0001-6979-0125], Rabinowitz, D. [0000-0003-4961-7653], Raichoor, A. [0000-0001-5999-7923], Rezaie, M. [0000-0001-5589-7116], Rockosi, C. [0000-0002-6667-7028], Roodman, A. [0000-0001-5326-3486], Sabiu, C. G. [0000-0002-5513-5303], Safonova, S. [0000-0002-2240-7421], Said, K. [0000-0002-1809-6325], Saintonge, A. [0000-0003-4357-3450], Samushia, L. [0000-0002-1609-5687], Sanchez, E. [0000-0002-9646-8198], Saulder, C. [0000-0002-0408-5633], Schaan, E. [0000-0002-4619-8927], Schlegel, D. [0000-0002-5042-5088], Secroun, A. [0000-0003-0505-3710], Seo, H. [0000-0002-6588-3508], Sharples, Ray M. [0000-0003-3449-8583], Silber, Joseph Harry [0000-0002-3461-0320], Silva, D. R. [0000-0002-7678-2155], Sprayberry, D. [0000-0001-7583-6441], Tarlé, Gregory [0000-0003-1704-0781], Tie, Suk Sien [0000-0002-5249-1353], Valdes, F. [0000-0001-5567-1301], Valenzuela, O. [0000-0002-0523-5509], Valluri, M. [0000-0002-6257-2341], Verde, L. [0000-0003-2601-8770], Walther, M. [0000-0002-1748-3745], Wang, B. [0000-0003-4877-1659], Wang, M. S. [0000-0002-2652-4043], Wechsler, R. [0000-0003-2229-011X], Yang, J. [0000-0001-5287-4242], Yu, Y. [0000-0002-9359-7170], Yuan, S. [0000-0002-5992-7586], Yèche, Christophe [0000-0001-5146-8533], Zhang, H. [0000-0001-6847-5254], Zhang, K. [0000-0002-9808-3646], Zhao, Cheng [0000-0002-1991-7295], Zhou, Rongpu [0000-0001-5381-4372], Zhou, Zhimin [0000-0002-4135-0977], Zou, H. [0000-0002-6684-3997], Zou, J. [0000-0001-9189-0368], Zou, S. [0000-0002-3983-6484], Zu, Y. [0000-0001-6966-6925], Apollo - University of Cambridge Repository, University of St Andrews. School of Physics and Astronomy, Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Observatoire de Haute-Provence (OHP), Institut Pythéas (OSU PYTHEAS), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DESI, HEP, INSPIRE, and Ministerio de Ciencia e Innovación (España)
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences, redshift 0.6, Settore FIS/05 - Astronomia e Astrofisica, QB Astronomy, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Instrumentation and Methods for Astrophysics (astro-ph.IM), QC, QB, MCC, Astronomy and Astrophysics, DAS, space, distortions, peak, Laboratory Astrophysics, Instrumentation, Software, and Data, QC Physics, Space and Planetary Science, [PHYS.PHYS.PHYS-INS-DET] Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], astro-ph.CO, galaxy sample, power-spectrum, Astrophysics - Instrumentation and Methods for Astrophysics, [PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph], [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], growth-rate, Astrophysics - Cosmology and Nongalactic Astrophysics, astro-ph.IM
Abstract: Full list of authors: Abareshi, B.; Aguilar, J.; Ahlen, S.; Alam, Shadab; Alexander, David M.; Alfarsy, R.; Allen, L.; Allende Prieto, C.; Alves, O.; Ameel, J.; Armengaud, E.; Asorey, J.; Aviles, Alejandro; Bailey, S.; Balaguera-Antolinez, A.; Ballester, O.; Baltay, C.; Bault, A.; Beltran, S. F.; Benavides, B.; BenZvi, S.; Berti, A.; Besuner, R.; Beutler, Florian; Bianchi, D.; Blake, C.; Blanc, P.; Blum, R.; Bolton, A.; Bose, S.; Bramall, D.; Brieden, S.; Brodzeller, A.; Brooks, D.; Brownewell, C.; Buckley-Geer, E.; Cahn, R. N.; Cai, Z.; Canning, R.; Capasso, R.; Carnero Rosell, A.; Carton, P.; Casas, R.; Castander, F. J.; Cervantes-Cota, J. L.; Chabanier, S.; Chaussidon, E.; Chuang, C.; Circosta, C.; Cole, S.; Cooper, A. P.; da Costa, L.; Cousinou, M-C; Cuceu, A.; Davis, T. M.; Dawson, K.; De la Cruz-Noriega, R.; de la Macorra, A.; de Mattia, A.; Della Costa, J.; Demmer, P.; Derwent, M.; Dey, A.; Dey, B.; Dhungana, G.; Ding, Z.; Dobson, C.; Doel, P.; Donald-McCann, J.; Donaldson, J.; Douglass, K.; Duan, Y.; Dunlop, P.; Edelstein, J.; Eftekharzadeh, S.; Eisenstein, D. J.; Enriquez-Vargas, M.; Escoffier, S.; Evatt, M.; Fagrelius, P.; Fan, X.; Fanning, K.; Fawcett, V. A.; Ferraro, S.; Ereza, J.; Flaugher, B.; Font-Ribera, A.; Forero-Romero, J. E.; Frenk, C. S.; Fromenteau, S.; Gansicke, B. T.; Garcia-Quintero, C.; Garrison, L.; Gaztanaga, E.; Gerardi, F.; Gil-Marin, H.; Gontcho, S. Gontcho A.; Gonzalez-Morales, Alma X.; Gonzalez-de-Rivera, G.; Gonzalez-Perez, V; Gordon, C.; Graur, O.; Green, D.; Grove, C.; Gruen, D.; Gutierrez, G.; Guy, J.; Hahn, C.; Harris, S.; Herrera, D.; Herrera-Alcantar, Hiram K.; Honscheid, K.; Howlett, C.; Huterer, D.; Irsic, V; Ishak, M.; Jelinsky, P.; Jiang, L.; Jimenez, J.; Jing, Y. P.; Joyce, R.; Jullo, E.; Juneau, S.; Karacayli, N. G.; Karamanis, M.; Karcher, A.; Karim, T.; Kehoe, R.; Kent, S.; Kirkby, D.; Kisner, T.; Kitaura, F.; Koposov, S. E.; Kovacs, A.; Kremin, A.; Krolewski, Alex; L'Huillier, B.; Lahav, O.; Lambert, A.; Lamman, C.; Lan, Ting-Wen; Landriau, M.; Lane, S.; Lang, D.; Lange, J. U.; Lasker, J.; Le Guillou, L.; Leauthaud, A.; Suu, A. Le Van; Levi, Michael E.; Li, T. S.; Magneville, C.; Manera, M.; Manser, Christopher J.; Marshall, B.; Martini, Paul; McCollam, W.; McDonald, P.; Meisner, Aaron M.; Mena-Fernandez, J.; Meneses-Rizo, J.; Mezcua, M.; Miller, T.; Miquel, R.; Montero-Camacho, P.; Moon, J.; Moustakas, J.; Mueller, E.; Munoz-Gutierrez, Andrea; Myers, Adam D.; Nadathur, S.; Najita, J.; Napolitano, L.; Neilsen, E.; Newman, Jeffrey A.; Nie, J. D.; Ning, Y.; Niz, G.; Norberg, P.; Noriega, Hernan E.; O'Brien, T.; Obuljen, A.; Palanque-Delabrouille, N.; Palmese, A.; Zhiwei, P.; Pappalardo, D.; Peng, X.; Percival, W. J.; Perruchot, S.; Pogge, R.; Poppett, C.; Porredon, A.; Prada, F.; Prochaska, J.; Pucha, R.; Perez-Fernandez, A.; Perez-Rafols, I; Rabinowitz, D.; Raichoor, A.; Ramirez-Solano, S.; Ramirez-Perez, Cesar; Ravoux, C.; Reil, K.; Rezaie, M.; Rocher, A.; Rockosi, C.; Roe, N. A.; Roodman, A.; Ross, A. J.; Rossi, G.; Ruggeri, R.; Ruhlmann-Kleider, V; Sabiu, C. G.; Safonova, S.; Said, K.; Saintonge, A.; Catonga, Javier Salas; Samushia, L.; Sanchez, E.; Saulder, C.; Schaan, E.; Schlafly, E.; Schlegel, D.; Schmoll, J.; Scholte, D.; Schubnell, M.; Secroun, A.; Seo, H.; Serrano, S.; Sharples, Ray M.; Sholl, Michael J.; Silber, Joseph Harry; Silva, D. R.; Sirk, M.; Siudek, M.; Smith, A.; Sprayberry, D.; Staten, R.; Stupak, B.; Tan, T.; Tarle, Gregory; Tie, Suk Sien; Tojeiro, R.; Urena-Lopez, L. A.; Valdes, F.; Valenzuela, O.; Valluri, M.; Vargas-Magana, M.; Verde, L.; Walther, M.; Wang, B.; Wang, M. S.; Weaver, B. A.; Weaverdyck, C.; Wechsler, R.; Wilson, Michael J.; Yang, J.; Yu, Y.; Yuan, S.; Yeche, Christophe; Zhang, H.; Zhang, K.; Zhao, Cheng; Zhou, Rongpu; Zhou, Zhimin; Zou, H.; Zou, J.; Zou, S.; Zu, Y.; DESI Collaboration.--This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited., The Dark Energy Spectroscopic Instrument (DESI) embarked on an ambitious 5 yr survey in 2021 May to explore the nature of dark energy with spectroscopic measurements of 40 million galaxies and quasars. DESI will determine precise redshifts and employ the baryon acoustic oscillation method to measure distances from the nearby universe to beyond redshift z > 3.5, and employ redshift space distortions to measure the growth of structure and probe potential modifications to general relativity. We describe the significant instrumentation we developed to conduct the DESI survey. This includes: a wide-field, 3fdg2 diameter prime-focus corrector; a focal plane system with 5020 fiber positioners on the 0.812 m diameter, aspheric focal surface; 10 continuous, high-efficiency fiber cable bundles that connect the focal plane to the spectrographs; and 10 identical spectrographs. Each spectrograph employs a pair of dichroics to split the light into three channels that together record the light from 360–980 nm with a spectral resolution that ranges from 2000–5000. We describe the science requirements, their connection to the technical requirements, the management of the project, and interfaces between subsystems. DESI was installed at the 4 m Mayall Telescope at Kitt Peak National Observatory and has achieved all of its performance goals. Some performance highlights include an rms positioner accuracy of better than 0farcs1 and a median signal-to-noise ratio of 7 of the [O ii] doublet at 8 × 10−17 erg s−1 cm−2 in 1000 s for galaxies at z = 1.4–1.6. We conclude with additional highlights from the on-sky validation and commissioning, key successes, and lessons learned. © 2022. The Author(s). Published by the American Astronomical Society., This research is supported by the Director, Office of Science, Office of High Energy Physics of the U.S. Department of Energy under contract No. DE-AC02-05CH11231, and by the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility under the same contract. Additional support for DESI is provided by the U.S. National Science Foundation, Division of Astronomical Sciences under contract No. AST-0950945 to the NSF's National Optical-Infrared Astronomy Research Laboratory; the Science and Technologies Facilities Council of the United Kingdom; the Gordon and Betty Moore Foundation; the Heising–Simons Foundation; the French Alternative Energies and Atomic Energy Commission (CEA); the National Council of Science and Technology of Mexico (CONACYT); the Ministry of Science and Innovation of Spain, and by the DESI Member Institutions: Aix-Marseille University; Argonne National Laboratory; Barcelona-Madrid Regional Participation Group; Brookhaven National Laboratory; Boston University; Brazil Regional Participation Group; Carnegie Mellon University; CEA-IRFU, Saclay; China Participation Group; Cornell University; Durham University; École Polytechnique Fédérale de Lausanne; Eidgenössische Technische Hochschule, Zürich; Fermi National Accelerator Laboratory; Granada-Madrid-Tenerife Regional Participation Group; Harvard University; Kansas State University; Korea Astronomy and Space Science Institute; Korea Institute for Advanced Study; Lawrence Berkeley National Laboratory; Laboratoire de Physique Nucléaire et de Hautes Energies; Ludwig Maximilians University; Max Planck Institute; Mexico Regional Participation Group; New York University; NSF's National Optical-Infrared Astronomy Research Laboratory; Ohio University; Perimeter Institute; Shanghai Jiao Tong University; Siena College; SLAC National Accelerator Laboratory; Southern Methodist University; Swinburne University; The Ohio State University; Universidad de los Andes; University of Arizona; University of Barcelona; University of California, Berkeley; University of California, Irvine; University of California, Santa Cruz; University College London; University of Florida; University of Michigan at Ann Arbor; University of Pennsylvania; University of Pittsburgh; University of Portsmouth; University of Queensland; University of Rochester; University of Toronto; University of Utah; University of Waterloo; University of Wyoming; University of Zurich; UK Regional Participation Group; and Yale University. This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC; https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement., With funding from the Spanish government through the Severo Ochoa Centre of Excellence accreditation SEV-2017-0709.
Published: 2022
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32. The DESI One-Percent Survey: exploring a generalized SHAM for multiple tracers with the UNIT simulation.

Author: Yu, Jiaxi, Zhao, Cheng, Gonzalez-Perez, Violeta, Chuang, Chia-Hsun, Brodzeller, Allyson, de Mattia, Arnaud, Kneib, Jean-Paul, Krolewski, Alex, Rocher, Antoine, Ross, Ashley, Wang, Yunchong, Yuan, Sihan, Zhang, Hanyu, Zhou, Rongpu, Aguilar, Jessica Nicole, Ahlen, Steven, Brooks, David, Dawson, Kyle, de la Macorra, Alex, and Doel, Peter
Subjects: EMISSION-line galaxies, DARK energy, BLACK holes, LARGE scale structure (Astronomy), STAR formation
Abstract: We perform SubHalo Abundance Matching (SHAM) studies on UNIT simulations with {σ, V ceil, v smear}-SHAM and {σ, V ceil, f sat}-SHAM. They are designed to reproduce the clustering on 5–30 |$\, {\, h^{-1}\, {\rm Mpc}}$| of luminous red galaxies (LRGs), emission-line galaxies (ELGs), and quasi-stellar objects (QSOs) at 0.4 < z < 3.5 from DESI (Dark Energy Spectroscopic Instrument) One Percent Survey. V ceil is the incompleteness of the massive host (sub)haloes and is the key to the generalized SHAM. v smear models the clustering effect of redshift uncertainties, providing measurements consistent with those from repeat observations. A free satellite fraction f sat is necessary to reproduce the clustering of ELGs. We find ELGs present a more complex galaxy–halo mass relation than LRGs reflected in their weak constraints on σ. LRGs, QSOs, and ELGs show increasing V ceil values, corresponding to the massive galaxy incompleteness of LRGs, the quenched star formation of ELGs and the quenched black hole accretion of QSOs. For LRGs, a Gaussian v smear presents a better profile for subsamples at redshift bins than a Lorentzian profile used for other tracers. The impact of the statistical redshift uncertainty on ELG clustering is negligible. The best-fitting satellite fraction for DESI ELGs is around 4 per cent, lower than previous estimations for ELGs. The mean halo mass log10(〈 M vir〉) in |${{\, h^{-1}\, \mbox{M}_\odot }}{}$| for LRGs, ELGs, and QSOs are 13.16 ± 0.01, 11.90 ± 0.06, and 12.66 ± 0.45, respectively. Our generalized SHAM algorithms facilitate the production of multitracer galaxy mocks for cosmological tests. [ABSTRACT FROM AUTHOR]
Published: 2024
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33. Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument

Author: Abareshi, B., additional, Aguilar, J., additional, Ahlen, S., additional, Alam, Shadab, additional, Alexander, David M., additional, Alfarsy, R., additional, Allen, L., additional, Prieto, C. Allende, additional, Alves, O., additional, Ameel, J., additional, Armengaud, E., additional, Asorey, J., additional, Aviles, Alejandro, additional, Bailey, S., additional, Balaguera-Antolínez, A., additional, Ballester, O., additional, Baltay, C., additional, Bault, A., additional, Beltran, S. F., additional, Benavides, B., additional, BenZvi, S., additional, Berti, A., additional, Besuner, R., additional, Beutler, Florian, additional, Bianchi, D., additional, Blake, C., additional, Blanc, P., additional, Blum, R., additional, Bolton, A., additional, Bose, S., additional, Bramall, D., additional, Brieden, S., additional, Brodzeller, A., additional, Brooks, D., additional, Brownewell, C., additional, Buckley-Geer, E., additional, Cahn, R. N., additional, Cai, Z., additional, Canning, R., additional, Capasso, R., additional, Rosell, A. Carnero, additional, Carton, P., additional, Casas, R., additional, Castander, F. J., additional, Cervantes-Cota, J. L., additional, Chabanier, S., additional, Chaussidon, E., additional, Chuang, C., additional, Circosta, C., additional, Cole, S., additional, Cooper, A. P., additional, Costa, L. da, additional, Cousinou, M.-C., additional, Cuceu, A., additional, Davis, T. M., additional, Dawson, K., additional, Cruz-Noriega, R. de la, additional, Macorra, A. de la, additional, Mattia, A. de, additional, Costa, J. Della, additional, Demmer, P., additional, Derwent, M., additional, Dey, A., additional, Dey, B., additional, Dhungana, G., additional, Ding, Z., additional, Dobson, C., additional, Doel, P., additional, Donald-McCann, J., additional, Donaldson, J., additional, Douglass, K., additional, Duan, Y., additional, Dunlop, P., additional, Edelstein, J., additional, Eftekharzadeh, S., additional, Eisenstein, D. J., additional, Enriquez-Vargas, M., additional, Escoffier, S., additional, Evatt, M., additional, Fagrelius, P., additional, Fan, X., additional, Fanning, K., additional, Fawcett, V. A., additional, Ferraro, S., additional, Ereza, J., additional, Flaugher, B., additional, Font-Ribera, A., additional, Forero-Romero, J. E., additional, Frenk, C. S., additional, Fromenteau, S., additional, Gänsicke, B. T., additional, Garcia-Quintero, C., additional, Garrison, L., additional, Gaztañaga, E., additional, Gerardi, F., additional, Gil-Marín, H., additional, A Gontcho, S. Gontcho, additional, Gonzalez-Morales, Alma X., additional, Gonzalez-de-Rivera, G., additional, Gonzalez-Perez, V., additional, Gordon, C., additional, Graur, O., additional, Green, D., additional, Grove, C., additional, Gruen, D., additional, Gutierrez, G., additional, Guy, J., additional, Hahn, C., additional, Harris, S., additional, Herrera, D., additional, Herrera-Alcantar, Hiram K., additional, Honscheid, K., additional, Howlett, C., additional, Huterer, D., additional, Iršič, V., additional, Ishak, M., additional, Jelinsky, P., additional, Jiang, L., additional, Jimenez, J., additional, Jing, Y. P., additional, Joyce, R., additional, Jullo, E., additional, Juneau, S., additional, Karaçaylı, N. G., additional, Karamanis, M., additional, Karcher, A., additional, Karim, T., additional, Kehoe, R., additional, Kent, S., additional, Kirkby, D., additional, Kisner, T., additional, Kitaura, F., additional, Koposov, S. E., additional, Kovács, A., additional, Kremin, A., additional, Krolewski, Alex, additional, L’Huillier, B., additional, Lahav, O., additional, Lambert, A., additional, Lamman, C., additional, Lan, Ting-Wen, additional, Landriau, M., additional, Lane, S., additional, Lang, D., additional, Lange, J. U., additional, Lasker, J., additional, Guillou, L. Le, additional, Leauthaud, A., additional, Van Suu, A. Le, additional, Levi, Michael E., additional, Li, T. S., additional, Magneville, C., additional, Manera, M., additional, Manser, Christopher J., additional, Marshall, B., additional, Martini, Paul, additional, McCollam, W., additional, McDonald, P., additional, Meisner, Aaron M., additional, Mena-Fernández, J., additional, Meneses-Rizo, J., additional, Mezcua, M., additional, Miller, T., additional, Miquel, R., additional, Montero-Camacho, P., additional, Moon, J., additional, Moustakas, J., additional, Mueller, E., additional, Muñoz-Gutiérrez, Andrea, additional, Myers, Adam D., additional, Nadathur, S., additional, Najita, J., additional, Napolitano, L., additional, Neilsen, E., additional, Newman, Jeffrey A., additional, Nie, J. D., additional, Ning, Y., additional, Niz, G., additional, Norberg, P., additional, Noriega, Hernán E., additional, O’Brien, T., additional, Obuljen, A., additional, Palanque-Delabrouille, N., additional, Palmese, A., additional, Zhiwei, P., additional, Pappalardo, D., additional, PENG, X., additional, Percival, W. J., additional, Perruchot, S., additional, Pogge, R., additional, Poppett, C., additional, Porredon, A., additional, Prada, F., additional, Prochaska, J., additional, Pucha, R., additional, Pérez-Fernández, A., additional, Pérez-Ràfols, I., additional, Rabinowitz, D., additional, Raichoor, A., additional, Ramirez-Solano, S., additional, Ramírez-Pérez, César, additional, Ravoux, C., additional, Reil, K., additional, Rezaie, M., additional, Rocher, A., additional, Rockosi, C., additional, Roe, N. A., additional, Roodman, A., additional, Ross, A. J., additional, Rossi, G., additional, Ruggeri, R., additional, Ruhlmann-Kleider, V., additional, Sabiu, C. G., additional, Safonova, S., additional, Said, K., additional, Saintonge, A., additional, Catonga, Javier Salas, additional, Samushia, L., additional, Sanchez, E., additional, Saulder, C., additional, Schaan, E., additional, Schlafly, E., additional, Schlegel, D., additional, Schmoll, J., additional, Scholte, D., additional, Schubnell, M., additional, Secroun, A., additional, Seo, H., additional, Serrano, S., additional, Sharples, Ray M., additional, Sholl, Michael J., additional, Silber, Joseph Harry, additional, Silva, D. R., additional, Sirk, M., additional, Siudek, M., additional, Smith, A., additional, Sprayberry, D., additional, Staten, R., additional, Stupak, B., additional, Tan, T., additional, Tarlé, Gregory, additional, Tie, Suk Sien, additional, Tojeiro, R., additional, Ureña-López, L. A., additional, Valdes, F., additional, Valenzuela, O., additional, Valluri, M., additional, Vargas-Magaña, M., additional, Verde, L., additional, Walther, M., additional, Wang, B., additional, Wang, M. S., additional, Weaver, B. A., additional, Weaverdyck, C., additional, Wechsler, R., additional, Wilson, Michael J., additional, Yang, J., additional, Yu, Y., additional, Yuan, S., additional, Yèche, Christophe, additional, Zhang, H., additional, Zhang, K., additional, Zhao, Cheng, additional, Zhou, Rongpu, additional, Zhou, Zhimin, additional, Zou, H., additional, Zou, J., additional, Zou, S., additional, and Zu, Y., additional
Published: 2022
Full Text: View/download PDF

34. Modeling the Spectral Diversity of Quasars in the Sixteenth Data Release from the Sloan Digital Sky Survey

Author: Brodzeller, Allyson, primary and Dawson, Kyle, additional
Published: 2022
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35. Five Ways a Hot Runner Is Key to Processing Reinforced Materials

Author: Brodzeller, Tony
Subjects: Biological products, Injection molding -- Equipment and supplies, Engineering and manufacturing industries, Metals, metalworking and machinery industries
Abstract: Here are five considerations that a hot runner supplier and a moldmaker/molder should discuss when using fiber-reinforced materials, such as those with glass filler, wood fibers (lignite in biomaterials) and [...]
Published: 2022

36. Modeling the Spectral Diversity of Quasars in the Sixteenth Data Release from the Sloan Digital Sky Survey

Author: Allyson Brodzeller and Kyle Dawson
Subjects: Space and Planetary Science, Astrophysics::High Energy Astrophysical Phenomena, Astrophysics of Galaxies (astro-ph.GA), Astrophysics::Instrumentation and Methods for Astrophysics, FOS: Physical sciences, Astronomy and Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics::Galaxy Astrophysics
Abstract: We present a new approach to capturing the broad diversity of emission-line and continuum properties in quasar spectra. We identify populations of spectrally similar quasars through pixel-level clustering on 12,968 high signal-to-noise ratio (S/N) spectra from the Sloan Digital Sky Survey (SDSS) in the redshift range of 1.57 < z < 2.4. Our clustering analysis finds 396 quasar spectra that are not assigned to any population, 15 misclassified spectra, and 6 quasars with incorrect redshifts. We compress the quasar populations into a library of 684 high-S/N composite spectra, anchored in redshift space by the Mg ii emission line. Principal component analysis on the library results in an eigenspectrum basis spanning 1067–4007 Å. We model independent samples of SDSS quasar spectra with the eigenbasis, allowing for a free redshift parameter. Our models achieve a median reduced χ 2 on non–broad absorption line quasar spectra that is reduced by 8.5% relative to models using the eigenspectra from the SDSS spectroscopic pipeline. A significant contribution to the relative improvement is from the ability to reconstruct the range of emission-line variation. The redshift estimates from our model are consistent with the Mg ii emission-line redshift with an average offset that displays 51.4% less redshift-dependent variation relative to the SDSS eigenspectra. Our method for developing quasar spectra models can improve automated classification and predict the intrinsic spectrum in regions affected by intervening absorbers such as Lyα, C iv, and Mg ii, thus benefiting studies of large-scale structure.
Published: 2021

37. Cross-species global and subset gene expression profiling identifies genes involved in prostate cancer response to selenium

Author: Dhir Rajiv, Zhou Guohui, Liu Hang, Wen Xinyu, Brodzeller Tracy, Matysiak Brian, Schlicht Michael, Hessner Martin J, Tonellato Peter, Suckow Mark, Pollard Morris, and Datta Milton W
Subjects: Biotechnology, TP248.13-248.65, Genetics, QH426-470
Abstract: Abstract Background Gene expression technologies have the ability to generate vast amounts of data, yet there often resides only limited resources for subsequent validation studies. This necessitates the ability to perform sorting and prioritization of the output data. Previously described methodologies have used functional pathways or transcriptional regulatory grouping to sort genes for further study. In this paper we demonstrate a comparative genomics based method to leverage data from animal models to prioritize genes for validation. This approach allows one to develop a disease-based focus for the prioritization of gene data, a process that is essential for systems that lack significant functional pathway data yet have defined animal models. This method is made possible through the use of highly controlled spotted cDNA slide production and the use of comparative bioinformatics databases without the use of cross-species slide hybridizations. Results Using gene expression profiling we have demonstrated a similar whole transcriptome gene expression patterns in prostate cancer cells from human and rat prostate cancer cell lines both at baseline expression levels and after treatment with physiologic concentrations of the proposed chemopreventive agent Selenium. Using both the human PC3 and rat PAII prostate cancer cell lines have gone on to identify a subset of one hundred and fifty-four genes that demonstrate a similar level of differential expression to Selenium treatment in both species. Further analysis and data mining for two genes, the Insulin like Growth Factor Binding protein 3, and Retinoic X Receptor alpha, demonstrates an association with prostate cancer, functional pathway links, and protein-protein interactions that make these genes prime candidates for explaining the mechanism of Selenium's chemopreventive effect in prostate cancer. These genes are subsequently validated by western blots showing Selenium based induction and using tissue microarrays to demonstrate a significant association between downregulated protein expression and tumorigenesis, a process that is the reverse of what is seen in the presence of Selenium. Conclusions Thus the outlined process demonstrates similar baseline and selenium induced gene expression profiles between rat and human prostate cancers, and provides a method for identifying testable functional pathways for the action of Selenium's chemopreventive properties in prostate cancer.
Published: 2004
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38. Interventions and Adaptations for Children with Autism Spectrum Disorder in Inclusive Early Childhood Settings

Author: Brodzeller, Katharine L., primary, Ottley, Jennifer R., additional, Jung, Jeesun, additional, and Coogle, Christan G., additional
Published: 2017
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39. A simple inexpensive method for the production of tissue microarrays from needle biopsy specimens: examples with prostate cancer

Author: Andre Kajdacsy-Balla, Andrea Kahler, Tracy Brodzeller, Milton W. Datta, and Virgilia Macias
Subjects: Male, Pathology, medicine.medical_specialty, Histology, Palliative care, Cytological Techniques, Pathology and Forensic Medicine, Prostate cancer, Biopsy, medicine, Biomarkers, Tumor, Humans, In patient, Oligonucleotide Array Sequence Analysis, Tissue microarray, medicine.diagnostic_test, business.industry, Biopsy, Needle, Cancer, Prostatic Neoplasms, medicine.disease, Immunohistochemistry, Medical Laboratory Technology, Ki-67 Antigen, Needle biopsy, business
Abstract: The use of tissue microarrays has become an efficient method for the high-throughput analysis of tissues with molecular markers, yet these studies have not been used to leverage the limited materials present in needle biopsies of human tissues. The use of these biopsy tissues is crucial to study diseases in patients who are treated by nonsurgical methods such as radiation, chemotherapy, or palliative care. The authors present a simple, inexpensive method for using needle biopsy specimens in tissue microarrays. Using this process with prostate cancer specimens, the authors demonstrate that over 150 slides can be produced from a single area of cancer in a needle biopsy and that the length of the core involved by cancer in the needle biopsy determines the number of available tissue microarray slides. The authors also note the optimal number of samples (three) needed from a single patient biopsy to guarantee sufficient material for analysis and perform an immunohistochemical correlation between needle biopsy and surgical resection tissue microarray samples for the quantitative marker Ki-67. This process can be extended to any type of needle biopsy specimen, increasing the number of studies and potential use of these tissues as a practical reality.
Published: 2005

40. Simple, inexpensive method for automating tissue microarray production provides enhanced microarray reproducibility

Author: Brian Matysiak, Cristin Counts, Andre Kajdacsy-Balla, Tracy Brodzeller, Brian Boorsma, Milton W. Datta, Anthony French, and Sarah Buck
Subjects: Reproducibility, Histology, Tissue microarray, Microarray, Computer program, business.industry, Computer science, Reproducibility of Results, Bioinformatics, Automation, Stress injury, Pathology and Forensic Medicine, Medical Laboratory Technology, Pathology, Stepper, Antibody study, business, Biomedical engineering
Abstract: Tissue microarrays are a novel technology with the potential to impact cancer research by reducing the time, materials, and costs related to specimen-based marker validation. The process uses small cores of specimen tissue for molecular studies, maximizing the quantity of specimens that can be analyzed on a single slide and the results that can be obtained from a single antibody study. However, this process can be tedious and requires a significant time commitment for array production, particularly for the hand-produced tissue array blocks. In addition, this process has significant repetitive motions, risking repetitive stress injury for technical personnel. For these reasons, we have sought a simple, inexpensive system for automation of the existing microarray technologies. Using this system, slides containing as many as 400 specimens can be constructed in a simple and reproducible manner. Automation of the tissue microarray apparatus is accomplished by attaching two stepper motors to the micrometers of the apparatus that control array movement, and it has the advantages of standardizing the spacing between each specimen and eliminating repetitive motions by the user. A computer program is used to run the motors, allowing the user to input commands based on the desired moving distance. After assimilation of the motors, motor control boards, and corresponding program, the final product was tested and demonstrated to provide consistent, reproducible operation. Tissue microarrays were generated with specimen tissue diameters of 1.5 mm, 1.0 mm, and 0.6 mm with core densities upwards of 300 samples per slide.
Published: 2003

41. Three junior programs that work. Student ambassadors, teen volunteer program, Youth Engaged in Service--YES!

Author: M, Magee, D, Brodzeller, and M, Nagle
Subjects: Michigan, Wisconsin, Adolescent, Massachusetts, Humans, Hospital Volunteers, Students
Published: 1990

42. A Simple Inexpensive Method for the Production of Tissue Microarrays from Needle Biopsy Specimens

Author: Datta, Milton W., primary, Kahler, Andrea, additional, Macias, Virgilia, additional, Brodzeller, Tracy, additional, and Kajdacsy-Balla, Andre, additional
Published: 2005
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43. Cross-species global and subset gene expression profiling identifies genes involved in prostate cancer response to selenium

Author: Schlicht, Michael, primary, Matysiak, Brian, additional, Brodzeller, Tracy, additional, Wen, Xinyu, additional, Liu, Hang, additional, Zhou, Guohui, additional, Dhir, Rajiv, additional, Hessner, Martin J, additional, Tonellato, Peter, additional, Suckow, Mark, additional, Pollard, Morris, additional, and Datta, Milton W, additional
Published: 2004
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44. Simple, Inexpensive Method for Automating Tissue Microarray Production Provides Enhanced Microarray Reproducibility

Author: Matysiak, Brian E., primary, Brodzeller, Tracy, additional, Buck, Sarah, additional, French, Anthony, additional, Counts, Cristin, additional, Boorsma, Brian, additional, Datta, Milton W., additional, and Kajdacsy-Balla, Andre A., additional
Published: 2003
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45. Cross-species global and subset gene expression profiling identifies genes involved in prostate cancer response to selenium

Author: Michael J. Schlicht, Mark A. Suckow, Tracy Brodzeller, Morris Pollard, Guohui Zhou, Brian Matysiak, Peter J. Tonellato, Milton W. Datta, Xinyu Wen, Rajiv Dhir, Martin J. Hessner, and Hang Liu
Subjects: Male, medicine.disease_cause, Proteomics, Transcriptome, Prostate cancer, 0302 clinical medicine, Gene expression, RNA, Neoplasm, Selenomethionine, Regulation of gene expression, Genetics, Expressed Sequence Tags, 0303 health sciences, DNA, Neoplasm, 3. Good health, Neoplasm Proteins, Gene Expression Regulation, Neoplastic, 030220 oncology & carcinogenesis, DNA microarray, Fluorescein-5-isothiocyanate, Biotechnology, Research Article, lcsh:QH426-470, lcsh:Biotechnology, Computational biology, Biology, Adenocarcinoma, 03 medical and health sciences, Selenium, Species Specificity, lcsh:TP248.13-248.65, Cell Line, Tumor, medicine, Animals, Anticarcinogenic Agents, Humans, RNA, Messenger, 030304 developmental biology, Fluorescent Dyes, Retinoid X Receptor alpha, Gene Expression Profiling, Prostatic Neoplasms, medicine.disease, Rats, Gene expression profiling, lcsh:Genetics, Insulin-Like Growth Factor Binding Protein 3, Subtraction Technique, Carcinogenesis
Abstract: Background Gene expression technologies have the ability to generate vast amounts of data, yet there often resides only limited resources for subsequent validation studies. This necessitates the ability to perform sorting and prioritization of the output data. Previously described methodologies have used functional pathways or transcriptional regulatory grouping to sort genes for further study. In this paper we demonstrate a comparative genomics based method to leverage data from animal models to prioritize genes for validation. This approach allows one to develop a disease-based focus for the prioritization of gene data, a process that is essential for systems that lack significant functional pathway data yet have defined animal models. This method is made possible through the use of highly controlled spotted cDNA slide production and the use of comparative bioinformatics databases without the use of cross-species slide hybridizations. Results Using gene expression profiling we have demonstrated a similar whole transcriptome gene expression patterns in prostate cancer cells from human and rat prostate cancer cell lines both at baseline expression levels and after treatment with physiologic concentrations of the proposed chemopreventive agent Selenium. Using both the human PC3 and rat PAII prostate cancer cell lines have gone on to identify a subset of one hundred and fifty-four genes that demonstrate a similar level of differential expression to Selenium treatment in both species. Further analysis and data mining for two genes, the Insulin like Growth Factor Binding protein 3, and Retinoic X Receptor alpha, demonstrates an association with prostate cancer, functional pathway links, and protein-protein interactions that make these genes prime candidates for explaining the mechanism of Selenium's chemopreventive effect in prostate cancer. These genes are subsequently validated by western blots showing Selenium based induction and using tissue microarrays to demonstrate a significant association between downregulated protein expression and tumorigenesis, a process that is the reverse of what is seen in the presence of Selenium. Conclusions Thus the outlined process demonstrates similar baseline and selenium induced gene expression profiles between rat and human prostate cancers, and provides a method for identifying testable functional pathways for the action of Selenium's chemopreventive properties in prostate cancer.
Published: 2004

46. Judging middle and high school Science Fair at Marquette University

Author: Milwaukee Journal, Brodzeller, Richard, Milwaukee Journal, and Brodzeller, Richard
Abstract: A science fair for grades 6-12 being held inside a building on Marquette University's campus. Dr. Robert Alvarez of the Medical College of Wisconsin and VA Medical Center is pondering a display., 4-1-82 Marquette University Brooks Memorial Union Ballroom Judging of the Scienece Fair for students in grades 6-12 sponsored by MU and the Journal Dr. Robert Alvarez of the Medical College of Wisconsin and VA Medical Center (in photo) looking at one exhibit. 1982 Apr 1 PM 9:09 Richard Brodzeller
Published: 1982

47. 4418 N 54th St

Author: Milwaukee Journal, Brodzeller, Richard; Milwaukee Sentinel Photo, Milwaukee Journal, and Brodzeller, Richard; Milwaukee Sentinel Photo
Abstract: This bungalow is on N 54th St. It has aluminum / vinyl siding, according to the city assessor's records., Return to library / TH Feb 7 - 1985 / The Milwaukee bungalow of David and Linda Rossler received a new roof, furnace and converted attic with the help of a low-interest loan provided by a state program. / T - Gen / Staff Photo / Richard Brodzeller / Photo copyright by The Milwaukee Sentinel. The following credit line MUST be underneath each reproduction of this PICTURE: "Milwaukee Sentinel Photo". Must not be sold or syndicated nor used for advertising purposes without written permission. A charge will be made when credit line is OMITTED. / 4418 N 54th / Journal Photo Collection
Published: 1985

48. Christmas Celebration at Milwaukee County Courthouse

Author: Milwaukee Journal, Brodzeller, Richard, Milwaukee Journal, and Brodzeller, Richard
Abstract: Firework and Christmas tree in front of the Milwaukee County Courthouse for Christmas. Large crowd gathered around the square. Courthouse in the background., Festivals and Celebrations - Christmas; 12-5-82
Published: 1982

49. MSO Season Opener Fall 1984

Author: Milwaukee Journal, Brodzeller, Richard, Milwaukee Journal, and Brodzeller, Richard
Abstract: The Milwaukee Symphony Orchestra plays during the season opener for 1984-1985., On back: MUSIC - ORCHESTRAS 9-7-84 Milwaukee Symphony Orchestra season opener. Stamped: Richard Brodzeller
Published: 1984

50. Fossil cleaning

Author: Milwaukee Journal, Brodzeller, Richard, Milwaukee Journal, and Brodzeller, Richard
Abstract: Three people in the lobby of the Public Museum surround a table with two large objects on top, lit by a hinged metal task lamp. Various tools are on the table and visible behind the group is the elevator bank and Exhibit Guide., Milw Public Museum cleaning newly discovered fossil found on field trip to Wyoming Richard Brodzeller
Published: 1980

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