The Completed Sloan Digital Sky Survey IV Extended Baryon Oscillation Spectroscopic Survey: The Damped Lyα Systems Catalog
| Autor: | Solène Chabanier, Thomas Etourneau, Jean-Marc Le Goff, James Rich, Julianna Stermer, Bela Abolfathi, Andreu Font-Ribera, Alma X. Gonzalez-Morales, Axel de la Macorra, Ignasi Pérez-Ràfols, Patrick Petitjean, Matthew M. Pieri, Corentin Ravoux, Graziano Rossi, Donald P. Schneider |
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| Přispěvatelé: | Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, 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), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), 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), ANR-16-CE31-0021,eBOSS,Sondes cosmologiques de la gravitation et de l'énergie noire(2016) |
| Rok vydání: | 2022 |
| Předmět: |
Particle and Plasma Physics
Space and Planetary Science Molecular Nuclear Astronomy and Astrophysics Astronomy & Astrophysics [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] Atomic Astronomical and Space Sciences [PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an] Physical Chemistry (incl. Structural) |
| Zdroj: | Astrophys.J.Supp. Astrophys.J.Supp., 2022, 258 (1), pp.18. ⟨10.3847/1538-4365/ac366e⟩ The Astrophysical Journal Supplement Series, vol 258, iss 1 |
| ISSN: | 1538-4365 0067-0049 |
| Popis: | We present the characteristics of the damped Lyα (DLA) systems found in data release DR16 of the extended Baryon Oscillation Spectroscopic Survey of the Sloan Digital Sky Survey. The DLAs were identified using the convolutional neural network of Parks et al. (2018). A total of 117,458 absorber candidates were found with 2 ≤ z DLA ≤ 5.5 and 19.7 ≤ log ( N ( H I ) / cm − 2 ) ≤ 22 , including 57,136 DLA candidates with log ( N ( H I ) / cm − 2 ) ≥ 20.3 . Mock quasar spectra were used to estimate the DLA detection efficiency and the purity of the resulting catalog. Restricting the quasar sample to bright forests, i.e., those with mean forest fluxes f λ ¯ > 2 × 10 − 19 W m − 2 nm − 1 , the efficiency and purity are greater than 90% for DLAs with column densities in the range 20.1 ≤ log ( N ( H I ) / cm − 2 ) ≤ 22 . |
| Databáze: | OpenAIRE |
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