Validation of the DESI DR2 Ly$α$ BAO analysis using synthetic datasets

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Hauptverfasser: Casas, L., Herrera-Alcantar, H. K., Chaves-Montero, J., Cuceu, A., Font-Ribera, A., Lokken, M., Abdul-Karim, M., Ramírez-Pérez, C., Aguilar, J., Ahlen, S., Andrade, U., Armengaud, E., Aviles, A., Bailey, S., BenZvi, S., Bianchi, D., Brodzeller, A., Brooks, D., Canning, R., Rosell, A. Carnero, Charles, M., Chaussidon, E., Claybaugh, T., Dawson, K. S., de la Macorra, A., de Mattia, A., Dey, Arjun, Dey, Biprateep, Ding, Z., Doel, P., Eisenstein, D. J., Elbers, W., Ferraro, S., Forero-Romero, J. E., Garcia-Quintero, C., Garrison, Lehman H., Gaztañaga, E., Gil-Marín, H., Gontcho, S. Gontcho A, Gonzalez-Morales, A. X., Gordon, C., Gutierrez, G., Guy, J., Herbold, M., Honscheid, K., Howlett, C., Huterer, D., Ishak, M., Juneau, S., Kehoe, R., Kirkby, D., Kisner, T., Kremin, A., Lahav, O., Landriau, M., Goff, J. M. Le, Guillou, L. Le, Leauthaud, A., Levi, M. E., Li, Q., Manera, M., Martini, P., Meisner, A., Mena-Fernández, J., Miquel, R., Moustakas, J., Santos, D. Muñoz, Myers, A. D., Nadathur, S., Napolitano, L., Niz, G., Noriega, H. E., Paillas, E., Palanque-Delabrouille, N., Percival, W. J., Pieri, Matthew M., Poppett, C., Prada, F., Pérez-Ràfols, I., Ravoux, C., Rossi, G., Sanchez, E., Schlegel, D., Schubnell, M., Seo, H., Sinigaglia, F., Sprayberry, D., Tan, T., Tarlé, G., Taylor, P., Turner, W., Vargas-Magaña, M., Walther, M., Weaver, B. A., Wolfson, M., Yèche, C., Zarrouk, P., Zhou, R.
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Veröffentlicht: 2025
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author Casas, L.
Herrera-Alcantar, H. K.
Chaves-Montero, J.
Cuceu, A.
Font-Ribera, A.
Lokken, M.
Abdul-Karim, M.
Ramírez-Pérez, C.
Aguilar, J.
Ahlen, S.
Andrade, U.
Armengaud, E.
Aviles, A.
Bailey, S.
BenZvi, S.
Bianchi, D.
Brodzeller, A.
Brooks, D.
Canning, R.
Rosell, A. Carnero
Charles, M.
Chaussidon, E.
Claybaugh, T.
Dawson, K. S.
de la Macorra, A.
de Mattia, A.
Dey, Arjun
Dey, Biprateep
Ding, Z.
Doel, P.
Eisenstein, D. J.
Elbers, W.
Ferraro, S.
Forero-Romero, J. E.
Garcia-Quintero, C.
Garrison, Lehman H.
Gaztañaga, E.
Gil-Marín, H.
Gontcho, S. Gontcho A
Gonzalez-Morales, A. X.
Gordon, C.
Gutierrez, G.
Guy, J.
Herbold, M.
Honscheid, K.
Howlett, C.
Huterer, D.
Ishak, M.
Juneau, S.
Kehoe, R.
Kirkby, D.
Kisner, T.
Kremin, A.
Lahav, O.
Landriau, M.
Goff, J. M. Le
Guillou, L. Le
Leauthaud, A.
Levi, M. E.
Li, Q.
Manera, M.
Martini, P.
Meisner, A.
Mena-Fernández, J.
Miquel, R.
Moustakas, J.
Santos, D. Muñoz
Myers, A. D.
Nadathur, S.
Napolitano, L.
Niz, G.
Noriega, H. E.
Paillas, E.
Palanque-Delabrouille, N.
Percival, W. J.
Pieri, Matthew M.
Poppett, C.
Prada, F.
Pérez-Ràfols, I.
Ravoux, C.
Rossi, G.
Sanchez, E.
Schlegel, D.
Schubnell, M.
Seo, H.
Sinigaglia, F.
Sprayberry, D.
Tan, T.
Tarlé, G.
Taylor, P.
Turner, W.
Vargas-Magaña, M.
Walther, M.
Weaver, B. A.
Wolfson, M.
Yèche, C.
Zarrouk, P.
Zhou, R.
author_facet Casas, L.
Herrera-Alcantar, H. K.
Chaves-Montero, J.
Cuceu, A.
Font-Ribera, A.
Lokken, M.
Abdul-Karim, M.
Ramírez-Pérez, C.
Aguilar, J.
Ahlen, S.
Andrade, U.
Armengaud, E.
Aviles, A.
Bailey, S.
BenZvi, S.
Bianchi, D.
Brodzeller, A.
Brooks, D.
Canning, R.
Rosell, A. Carnero
Charles, M.
Chaussidon, E.
Claybaugh, T.
Dawson, K. S.
de la Macorra, A.
de Mattia, A.
Dey, Arjun
Dey, Biprateep
Ding, Z.
Doel, P.
Eisenstein, D. J.
Elbers, W.
Ferraro, S.
Forero-Romero, J. E.
Garcia-Quintero, C.
Garrison, Lehman H.
Gaztañaga, E.
Gil-Marín, H.
Gontcho, S. Gontcho A
Gonzalez-Morales, A. X.
Gordon, C.
Gutierrez, G.
Guy, J.
Herbold, M.
Honscheid, K.
Howlett, C.
Huterer, D.
Ishak, M.
Juneau, S.
Kehoe, R.
Kirkby, D.
Kisner, T.
Kremin, A.
Lahav, O.
Landriau, M.
Goff, J. M. Le
Guillou, L. Le
Leauthaud, A.
Levi, M. E.
Li, Q.
Manera, M.
Martini, P.
Meisner, A.
Mena-Fernández, J.
Miquel, R.
Moustakas, J.
Santos, D. Muñoz
Myers, A. D.
Nadathur, S.
Napolitano, L.
Niz, G.
Noriega, H. E.
Paillas, E.
Palanque-Delabrouille, N.
Percival, W. J.
Pieri, Matthew M.
Poppett, C.
Prada, F.
Pérez-Ràfols, I.
Ravoux, C.
Rossi, G.
Sanchez, E.
Schlegel, D.
Schubnell, M.
Seo, H.
Sinigaglia, F.
Sprayberry, D.
Tan, T.
Tarlé, G.
Taylor, P.
Turner, W.
Vargas-Magaña, M.
Walther, M.
Weaver, B. A.
Wolfson, M.
Yèche, C.
Zarrouk, P.
Zhou, R.
contents The second data release (DR2) of the Dark Energy Spectroscopic Instrument (DESI), containing data from the first three years of observations, doubles the number of Lyman-$α$ (Ly$α$) forest spectra in DR1 and it provides the largest dataset of its kind. To ensure a robust validation of the Baryonic Acoustic Oscillation (BAO) analysis using Ly$α$ forests, we have made significant updates compared to DR1 to both the mocks and the analysis framework used in the validation. In particular, we present CoLoRe-QL, a new set of Ly$α$ mocks that use a quasi-linear input power spectrum to incorporate the non-linear broadening of the BAO peak. We have also increased the number of realisations used in the validation to 400, compared to the 150 realisations used in DR1. Finally, we present a detailed study of the impact of quasar redshift errors on the BAO measurement, and we compare different strategies to mask Damped Lyman-$α$ Absorbers (DLAs) in our spectra. The BAO measurement from the Ly$α$ dataset of DESI DR2 is presented in a companion publication.
format Preprint
id arxiv_https___arxiv_org_abs_2503_14741
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Validation of the DESI DR2 Ly$α$ BAO analysis using synthetic datasets
Casas, L.
Herrera-Alcantar, H. K.
Chaves-Montero, J.
Cuceu, A.
Font-Ribera, A.
Lokken, M.
Abdul-Karim, M.
Ramírez-Pérez, C.
Aguilar, J.
Ahlen, S.
Andrade, U.
Armengaud, E.
Aviles, A.
Bailey, S.
BenZvi, S.
Bianchi, D.
Brodzeller, A.
Brooks, D.
Canning, R.
Rosell, A. Carnero
Charles, M.
Chaussidon, E.
Claybaugh, T.
Dawson, K. S.
de la Macorra, A.
de Mattia, A.
Dey, Arjun
Dey, Biprateep
Ding, Z.
Doel, P.
Eisenstein, D. J.
Elbers, W.
Ferraro, S.
Forero-Romero, J. E.
Garcia-Quintero, C.
Garrison, Lehman H.
Gaztañaga, E.
Gil-Marín, H.
Gontcho, S. Gontcho A
Gonzalez-Morales, A. X.
Gordon, C.
Gutierrez, G.
Guy, J.
Herbold, M.
Honscheid, K.
Howlett, C.
Huterer, D.
Ishak, M.
Juneau, S.
Kehoe, R.
Kirkby, D.
Kisner, T.
Kremin, A.
Lahav, O.
Landriau, M.
Goff, J. M. Le
Guillou, L. Le
Leauthaud, A.
Levi, M. E.
Li, Q.
Manera, M.
Martini, P.
Meisner, A.
Mena-Fernández, J.
Miquel, R.
Moustakas, J.
Santos, D. Muñoz
Myers, A. D.
Nadathur, S.
Napolitano, L.
Niz, G.
Noriega, H. E.
Paillas, E.
Palanque-Delabrouille, N.
Percival, W. J.
Pieri, Matthew M.
Poppett, C.
Prada, F.
Pérez-Ràfols, I.
Ravoux, C.
Rossi, G.
Sanchez, E.
Schlegel, D.
Schubnell, M.
Seo, H.
Sinigaglia, F.
Sprayberry, D.
Tan, T.
Tarlé, G.
Taylor, P.
Turner, W.
Vargas-Magaña, M.
Walther, M.
Weaver, B. A.
Wolfson, M.
Yèche, C.
Zarrouk, P.
Zhou, R.
Instrumentation and Methods for Astrophysics
Cosmology and Nongalactic Astrophysics
The second data release (DR2) of the Dark Energy Spectroscopic Instrument (DESI), containing data from the first three years of observations, doubles the number of Lyman-$α$ (Ly$α$) forest spectra in DR1 and it provides the largest dataset of its kind. To ensure a robust validation of the Baryonic Acoustic Oscillation (BAO) analysis using Ly$α$ forests, we have made significant updates compared to DR1 to both the mocks and the analysis framework used in the validation. In particular, we present CoLoRe-QL, a new set of Ly$α$ mocks that use a quasi-linear input power spectrum to incorporate the non-linear broadening of the BAO peak. We have also increased the number of realisations used in the validation to 400, compared to the 150 realisations used in DR1. Finally, we present a detailed study of the impact of quasar redshift errors on the BAO measurement, and we compare different strategies to mask Damped Lyman-$α$ Absorbers (DLAs) in our spectra. The BAO measurement from the Ly$α$ dataset of DESI DR2 is presented in a companion publication.
title Validation of the DESI DR2 Ly$α$ BAO analysis using synthetic datasets
topic Instrumentation and Methods for Astrophysics
Cosmology and Nongalactic Astrophysics
url https://arxiv.org/abs/2503.14741