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Construction of the Damped Ly$α$ Absorber Catalog for DESI DR2 Ly$α$ BAO

Fuente: arXiv

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Main Authors:	Brodzeller, A., Wolfson, M., Santos, D. M., Ho, M., Tan, T., Pieri, M. M., Cuceu, A., Abdul-Karim, M., Aguilar, J., Ahlen, S., Anand, A., Andrade, U., Armengaud, E., Aviles, A., Bailey, S., Bault, A., Bianchi, D., Brooks, D., Canning, R., Casas, L., Charles, M., Chaussidon, E., Chaves-Montero, J., Chebat, D., Claybaugh, T., Dawson, K. S., de Belsunce, R., de la Macorra, A., de Mattia, A., Dey, Arjun, Dey, Biprateep, Doshi, M., Doel, P., Elbers, W., Ferraro, S., Font-Ribera, A., Forero-Romero, J. E., Garcia-Quintero, C., Garrison, L. H., Gaztañaga, E., Gontcho, S. Gontcho A, Gonzalez-Morales, A. X., Green, D., Gutierrez, G., Guy, J., Hahn, C., Herbold, M., Herrera-Alcantar, H. K., Honscheid, K., Howlett, C., Huterer, D., Ishak, M., Juneau, S., Kehoe, R., Kisner, T., Kremin, A., Lahav, O., Lamman, C., Landriau, M., Goff, J. M. Le, Guillou, L. Le, Leauthaud, A., Levi, M. E., Li, Q., Manera, M., Martini, P., Meisner, A., Mena-Fernandez, J., Miquel, R., Moustakas, J., Muñoz-Gutiérrez, A., Myers, A. D., Nadathur, S., Napolitano, L., Noriega, H. E., Paillas, E., Palanque-Delabrouille, N., Percival, W. J., Poppett, C., Prada, F., Pérez-Ràfols, I., Ramírez-Pérez, C., Ravoux, C., Rohlf, J., Rossi, G., Sanchez, E., Schlegel, D., Schubnell, M., Sinigaglia, F., Sprayberry, D., Tarlé, G., Taylor, P., Turner, W., Walther, M., Weaver, B. A., Yèche, C., Zhou, R., Zou, H., Zou, S.
Format:	Preprint
Published:	2025
Subjects:	Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
Online Access:	Acceder al recurso
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author	Brodzeller, A. Wolfson, M. Santos, D. M. Ho, M. Tan, T. Pieri, M. M. Cuceu, A. Abdul-Karim, M. Aguilar, J. Ahlen, S. Anand, A. Andrade, U. Armengaud, E. Aviles, A. Bailey, S. Bault, A. Bianchi, D. Brooks, D. Canning, R. Casas, L. Charles, M. Chaussidon, E. Chaves-Montero, J. Chebat, D. Claybaugh, T. Dawson, K. S. de Belsunce, R. de la Macorra, A. de Mattia, A. Dey, Arjun Dey, Biprateep Doshi, M. Doel, P. Elbers, W. Ferraro, S. Font-Ribera, A. Forero-Romero, J. E. Garcia-Quintero, C. Garrison, L. H. Gaztañaga, E. Gontcho, S. Gontcho A Gonzalez-Morales, A. X. Green, D. Gutierrez, G. Guy, J. Hahn, C. Herbold, M. Herrera-Alcantar, H. K. Honscheid, K. Howlett, C. Huterer, D. Ishak, M. Juneau, S. Kehoe, R. Kisner, T. Kremin, A. Lahav, O. Lamman, C. Landriau, M. Goff, J. M. Le Guillou, L. Le Leauthaud, A. Levi, M. E. Li, Q. Manera, M. Martini, P. Meisner, A. Mena-Fernandez, J. Miquel, R. Moustakas, J. Muñoz-Gutiérrez, A. Myers, A. D. Nadathur, S. Napolitano, L. Noriega, H. E. Paillas, E. Palanque-Delabrouille, N. Percival, W. J. Poppett, C. Prada, F. Pérez-Ràfols, I. Ramírez-Pérez, C. Ravoux, C. Rohlf, J. Rossi, G. Sanchez, E. Schlegel, D. Schubnell, M. Sinigaglia, F. Sprayberry, D. Tarlé, G. Taylor, P. Turner, W. Walther, M. Weaver, B. A. Yèche, C. Zhou, R. Zou, H. Zou, S.
author_facet	Brodzeller, A. Wolfson, M. Santos, D. M. Ho, M. Tan, T. Pieri, M. M. Cuceu, A. Abdul-Karim, M. Aguilar, J. Ahlen, S. Anand, A. Andrade, U. Armengaud, E. Aviles, A. Bailey, S. Bault, A. Bianchi, D. Brooks, D. Canning, R. Casas, L. Charles, M. Chaussidon, E. Chaves-Montero, J. Chebat, D. Claybaugh, T. Dawson, K. S. de Belsunce, R. de la Macorra, A. de Mattia, A. Dey, Arjun Dey, Biprateep Doshi, M. Doel, P. Elbers, W. Ferraro, S. Font-Ribera, A. Forero-Romero, J. E. Garcia-Quintero, C. Garrison, L. H. Gaztañaga, E. Gontcho, S. Gontcho A Gonzalez-Morales, A. X. Green, D. Gutierrez, G. Guy, J. Hahn, C. Herbold, M. Herrera-Alcantar, H. K. Honscheid, K. Howlett, C. Huterer, D. Ishak, M. Juneau, S. Kehoe, R. Kisner, T. Kremin, A. Lahav, O. Lamman, C. Landriau, M. Goff, J. M. Le Guillou, L. Le Leauthaud, A. Levi, M. E. Li, Q. Manera, M. Martini, P. Meisner, A. Mena-Fernandez, J. Miquel, R. Moustakas, J. Muñoz-Gutiérrez, A. Myers, A. D. Nadathur, S. Napolitano, L. Noriega, H. E. Paillas, E. Palanque-Delabrouille, N. Percival, W. J. Poppett, C. Prada, F. Pérez-Ràfols, I. Ramírez-Pérez, C. Ravoux, C. Rohlf, J. Rossi, G. Sanchez, E. Schlegel, D. Schubnell, M. Sinigaglia, F. Sprayberry, D. Tarlé, G. Taylor, P. Turner, W. Walther, M. Weaver, B. A. Yèche, C. Zhou, R. Zou, H. Zou, S.
contents	We present the Damped Ly$α$ Toolkit for automated detection and characterization of Damped Ly$α$ absorbers (DLA) in quasar spectra. Our method uses quasar spectral templates with and without absorption from intervening DLAs to reconstruct observed quasar forest regions. The best-fitting model determines whether a DLA is present while estimating the redshift and \texttt{HI} column density. With an optimized quality cut on detection significance ($Δχ_{r}^2>0.03$), the technique achieves an estimated 80\% purity and 79\% completeness when evaluated on simulated spectra with S/N~$>2$ that are free of broad absorption lines (BAL). We provide a catalog containing candidate DLAs from the DLA Toolkit detected in DESI DR1 quasar spectra, of which 21,719 were found in S/N~$>2$ spectra with predicted $\log_{10} (N_\texttt{HI}) > 20.3$ and detection significance $Δχ_{r}^2 >0.03$. We compare the Damped Ly$α$ Toolkit to two alternative DLA finders based on a convolutional neural network (CNN) and Gaussian process (GP) models. We present a strategy for combining these three techniques to produce a high-fidelity DLA catalog from DESI DR2 for the Ly$α$ forest baryon acoustic oscillation measurement. The combined catalog contains 41,152 candidate DLAs with $\log_{10} (N_\texttt{HI}) > 20.3$ from quasar spectra with S/N~$>2$. We estimate this sample to be approximately 85\% pure and 79\% complete when BAL quasars are excluded.
format	Preprint
id	arxiv_https___arxiv_org_abs_2503_14740
institution	arXiv
publishDate	2025
record_format	arxiv
spellingShingle	Construction of the Damped Ly$α$ Absorber Catalog for DESI DR2 Ly$α$ BAO Brodzeller, A. Wolfson, M. Santos, D. M. Ho, M. Tan, T. Pieri, M. M. Cuceu, A. Abdul-Karim, M. Aguilar, J. Ahlen, S. Anand, A. Andrade, U. Armengaud, E. Aviles, A. Bailey, S. Bault, A. Bianchi, D. Brooks, D. Canning, R. Casas, L. Charles, M. Chaussidon, E. Chaves-Montero, J. Chebat, D. Claybaugh, T. Dawson, K. S. de Belsunce, R. de la Macorra, A. de Mattia, A. Dey, Arjun Dey, Biprateep Doshi, M. Doel, P. Elbers, W. Ferraro, S. Font-Ribera, A. Forero-Romero, J. E. Garcia-Quintero, C. Garrison, L. H. Gaztañaga, E. Gontcho, S. Gontcho A Gonzalez-Morales, A. X. Green, D. Gutierrez, G. Guy, J. Hahn, C. Herbold, M. Herrera-Alcantar, H. K. Honscheid, K. Howlett, C. Huterer, D. Ishak, M. Juneau, S. Kehoe, R. Kisner, T. Kremin, A. Lahav, O. Lamman, C. Landriau, M. Goff, J. M. Le Guillou, L. Le Leauthaud, A. Levi, M. E. Li, Q. Manera, M. Martini, P. Meisner, A. Mena-Fernandez, J. Miquel, R. Moustakas, J. Muñoz-Gutiérrez, A. Myers, A. D. Nadathur, S. Napolitano, L. Noriega, H. E. Paillas, E. Palanque-Delabrouille, N. Percival, W. J. Poppett, C. Prada, F. Pérez-Ràfols, I. Ramírez-Pérez, C. Ravoux, C. Rohlf, J. Rossi, G. Sanchez, E. Schlegel, D. Schubnell, M. Sinigaglia, F. Sprayberry, D. Tarlé, G. Taylor, P. Turner, W. Walther, M. Weaver, B. A. Yèche, C. Zhou, R. Zou, H. Zou, S. Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies We present the Damped Ly$α$ Toolkit for automated detection and characterization of Damped Ly$α$ absorbers (DLA) in quasar spectra. Our method uses quasar spectral templates with and without absorption from intervening DLAs to reconstruct observed quasar forest regions. The best-fitting model determines whether a DLA is present while estimating the redshift and \texttt{HI} column density. With an optimized quality cut on detection significance ($Δχ_{r}^2>0.03$), the technique achieves an estimated 80\% purity and 79\% completeness when evaluated on simulated spectra with S/N~$>2$ that are free of broad absorption lines (BAL). We provide a catalog containing candidate DLAs from the DLA Toolkit detected in DESI DR1 quasar spectra, of which 21,719 were found in S/N~$>2$ spectra with predicted $\log_{10} (N_\texttt{HI}) > 20.3$ and detection significance $Δχ_{r}^2 >0.03$. We compare the Damped Ly$α$ Toolkit to two alternative DLA finders based on a convolutional neural network (CNN) and Gaussian process (GP) models. We present a strategy for combining these three techniques to produce a high-fidelity DLA catalog from DESI DR2 for the Ly$α$ forest baryon acoustic oscillation measurement. The combined catalog contains 41,152 candidate DLAs with $\log_{10} (N_\texttt{HI}) > 20.3$ from quasar spectra with S/N~$>2$. We estimate this sample to be approximately 85\% pure and 79\% complete when BAL quasars are excluded.
title	Construction of the Damped Ly$α$ Absorber Catalog for DESI DR2 Ly$α$ BAO
topic	Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
url	https://arxiv.org/abs/2503.14740