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., Gordon, C., Iršič, V., Karaçaylı, N., Le Goff, J., 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., 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. and Zhou, Z. (2025) Synthetic spectra for Lyman-α forest analysis in the Dark Energy Spectroscopic Instrument. Journal of Cosmology and Astroparticle Physics: 141. ISSN 1475-7516
Copy

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 a synthetic dataset to forecast the BAO scale constraining power of the completed DESI survey through the Lyman-α forest.

picture_as_pdf

picture_as_pdf
Herrera-Alcantar_2025_J._Cosmol._Astropart._Phys._2025_141.pdf
subject
Published Version
Available under Creative Commons: BY 4.0

View Download

EndNote BibTeX Reference Manager Refer Atom Dublin Core METS MODS OpenURL ContextObject HTML Citation ASCII Citation OpenURL ContextObject in Span Data Cite XML MPEG-21 DIDL RIOXX2 XML
Export

Downloads