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Synthetic spectra for Lyman-$α$ forest analysis in the Dark Energy Spectroscopic Instrument

Fuente: arXiv
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Main Authors: Herrera-Alcantar, Hiram K., Muñoz-Gutiérrez, Andrea, Tan, Ting, González-Morales, Alma X., Font-Ribera, Andreu, Guy, Julien, Moustakas, John, Kirkby, David, Armengaud, E., Bault, A., Cabayol-Garcia, L., Chaves-Montero, J., Cuceu, A., de la Cruz, R., García, L. Á., Gordon, C., Iršič, V., Karaçaylı, N. G., Goff, J. M. Le, Montero-Camacho, P., Niz, G., Pérez-Ràfols, I., Ramírez-Pérez, C., Ravoux, C., Walther, M., Aguilar, J., Ahlen, S., Brooks, D., Claybaugh, T., Dawson, K., de la Macorra, A., Doel, P., Forero-Romero, J. E., Gaztañaga, E., Gontcho, S. Gontcho A, Honscheid, K., Kehoe, R., Kisner, T., Landriau, M., Levi, Michael E., Manera, M., Martini, P., Meisner, A., Miquel, R., Nie, J., Palanque-Delabrouille, N., Poppett, C., Rezaie, M., Rossi, G., Sanchez, E., Seo, H., Tarlé, G., Weaver, B. A., Zhou, Z.
Format: Preprint
Published: 2023
Subjects:
Cosmology and Nongalactic Astrophysics
Online Access:
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author Herrera-Alcantar, Hiram K.
Muñoz-Gutiérrez, Andrea
Tan, Ting
González-Morales, Alma X.
Font-Ribera, Andreu
Guy, Julien
Moustakas, John
Kirkby, David
Armengaud, E.
Bault, A.
Cabayol-Garcia, L.
Chaves-Montero, J.
Cuceu, A.
de la Cruz, R.
García, L. Á.
Gordon, C.
Iršič, V.
Karaçaylı, N. G.
Goff, J. M. Le
Montero-Camacho, P.
Niz, G.
Pérez-Ràfols, I.
Ramírez-Pérez, C.
Ravoux, C.
Walther, M.
Aguilar, J.
Ahlen, S.
Brooks, D.
Claybaugh, T.
Dawson, K.
de la Macorra, A.
Doel, P.
Forero-Romero, J. E.
Gaztañaga, E.
Gontcho, S. Gontcho A
Honscheid, K.
Kehoe, R.
Kisner, T.
Landriau, M.
Levi, Michael E.
Manera, M.
Martini, P.
Meisner, A.
Miquel, R.
Nie, J.
Palanque-Delabrouille, N.
Poppett, C.
Rezaie, M.
Rossi, G.
Sanchez, E.
Seo, H.
Tarlé, G.
Weaver, B. A.
Zhou, Z.
author_facet Herrera-Alcantar, Hiram K.
Muñoz-Gutiérrez, Andrea
Tan, Ting
González-Morales, Alma X.
Font-Ribera, Andreu
Guy, Julien
Moustakas, John
Kirkby, David
Armengaud, E.
Bault, A.
Cabayol-Garcia, L.
Chaves-Montero, J.
Cuceu, A.
de la Cruz, R.
García, L. Á.
Gordon, C.
Iršič, V.
Karaçaylı, N. G.
Goff, J. M. Le
Montero-Camacho, P.
Niz, G.
Pérez-Ràfols, I.
Ramírez-Pérez, C.
Ravoux, C.
Walther, M.
Aguilar, J.
Ahlen, S.
Brooks, D.
Claybaugh, T.
Dawson, K.
de la Macorra, A.
Doel, P.
Forero-Romero, J. E.
Gaztañaga, E.
Gontcho, S. Gontcho A
Honscheid, K.
Kehoe, R.
Kisner, T.
Landriau, M.
Levi, Michael E.
Manera, M.
Martini, P.
Meisner, A.
Miquel, R.
Nie, J.
Palanque-Delabrouille, N.
Poppett, C.
Rezaie, M.
Rossi, G.
Sanchez, E.
Seo, H.
Tarlé, G.
Weaver, B. A.
Zhou, Z.
contents Synthetic data sets are used in cosmology to test analysis procedures, to verify that systematic errors are well understood and to demonstrate that measurements are unbiased. In this work we describe the methods used to generate synthetic datasets of Lyman-$α$ quasar spectra aimed for studies with the Dark Energy Spectroscopic Instrument (DESI). In particular, we focus on demonstrating that our simulations reproduces important features of real samples, making them suitable to test the analysis methods to be used in DESI and to place limits on systematic effects on measurements of Baryon Acoustic Oscillations (BAO). We present a set of mocks that reproduce the statistical properties of the DESI early data set with good agreement. Additionally, we use full survey synthetic data to forecast the BAO scale constraining power with DESI.
format Preprint
id arxiv_https___arxiv_org_abs_2401_00303
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Synthetic spectra for Lyman-$α$ forest analysis in the Dark Energy Spectroscopic Instrument
Herrera-Alcantar, Hiram K.
Muñoz-Gutiérrez, Andrea
Tan, Ting
González-Morales, Alma X.
Font-Ribera, Andreu
Guy, Julien
Moustakas, John
Kirkby, David
Armengaud, E.
Bault, A.
Cabayol-Garcia, L.
Chaves-Montero, J.
Cuceu, A.
de la Cruz, R.
García, L. Á.
Gordon, C.
Iršič, V.
Karaçaylı, N. G.
Goff, J. M. Le
Montero-Camacho, P.
Niz, G.
Pérez-Ràfols, I.
Ramírez-Pérez, C.
Ravoux, C.
Walther, M.
Aguilar, J.
Ahlen, S.
Brooks, D.
Claybaugh, T.
Dawson, K.
de la Macorra, A.
Doel, P.
Forero-Romero, J. E.
Gaztañaga, E.
Gontcho, S. Gontcho A
Honscheid, K.
Kehoe, R.
Kisner, T.
Landriau, M.
Levi, Michael E.
Manera, M.
Martini, P.
Meisner, A.
Miquel, R.
Nie, J.
Palanque-Delabrouille, N.
Poppett, C.
Rezaie, M.
Rossi, G.
Sanchez, E.
Seo, H.
Tarlé, G.
Weaver, B. A.
Zhou, Z.
Cosmology and Nongalactic Astrophysics
Synthetic data sets are used in cosmology to test analysis procedures, to verify that systematic errors are well understood and to demonstrate that measurements are unbiased. In this work we describe the methods used to generate synthetic datasets of Lyman-$α$ quasar spectra aimed for studies with the Dark Energy Spectroscopic Instrument (DESI). In particular, we focus on demonstrating that our simulations reproduces important features of real samples, making them suitable to test the analysis methods to be used in DESI and to place limits on systematic effects on measurements of Baryon Acoustic Oscillations (BAO). We present a set of mocks that reproduce the statistical properties of the DESI early data set with good agreement. Additionally, we use full survey synthetic data to forecast the BAO scale constraining power with DESI.
title Synthetic spectra for Lyman-$α$ forest analysis in the Dark Energy Spectroscopic Instrument
topic Cosmology and Nongalactic Astrophysics
url https://arxiv.org/abs/2401.00303

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