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Autore principale: Medina Toledo, Gustavo
Natura: Recurso digital
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Pubblicazione: Zenodo 2026
Accesso online:https://doi.org/10.5281/zenodo.18130132
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author Medina Toledo, Gustavo
author_facet Medina Toledo, Gustavo
contents <p>We are entering the era of large-sky spectroscopic surveys mapping the halo of the Milky Way. The data provided by these surveys will revolutionize our understanding of stellar variability and its connection with the physical processes that govern stellar evolution and the formation of our Galaxy. </p> <p>The Dark Energy Spectroscopic Instrument (DESI) is a multiobject spectrograph that deploys 5,000 fibers over a ~3deg diameter field of view and has been used to observe million of stars in the Milky Way. We employ this dataset to build a catalog of ~6,000 halo RR Lyrae stars (RRLs) out to 100 kpc from the Galactic center. For these stars, we derive homogeneous spectroscopic properties and study their variation throughout their pulsation cycle. Following a novel Bayesian approach, we model the radial velocity and effective temperature variation of our sample, enabling the determination of their systemic velocity and mean temperatures even from single-epoch spectra. We study the metallicity dependence of the RRL pulsation properties and their connection with known Milky Way satellites, and we identify metal-rich RRL candidates in the inner halo. Moreover, we use the phase-space distribution function of RRLs to infer the Milky Way mass profile within 250 kpc. We discuss the details of our analysis and the implications of our results, highlighting the tantalizing potential of DESI, its complementarity with other large surveys, and preliminary results from the upcoming DESI data release, which more than doubles the number of RRLs in our current sample. </p>
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spellingShingle The spectroscopic variation of RR Lyrae stars in the DESI survey
Medina Toledo, Gustavo
<p>We are entering the era of large-sky spectroscopic surveys mapping the halo of the Milky Way. The data provided by these surveys will revolutionize our understanding of stellar variability and its connection with the physical processes that govern stellar evolution and the formation of our Galaxy. </p> <p>The Dark Energy Spectroscopic Instrument (DESI) is a multiobject spectrograph that deploys 5,000 fibers over a ~3deg diameter field of view and has been used to observe million of stars in the Milky Way. We employ this dataset to build a catalog of ~6,000 halo RR Lyrae stars (RRLs) out to 100 kpc from the Galactic center. For these stars, we derive homogeneous spectroscopic properties and study their variation throughout their pulsation cycle. Following a novel Bayesian approach, we model the radial velocity and effective temperature variation of our sample, enabling the determination of their systemic velocity and mean temperatures even from single-epoch spectra. We study the metallicity dependence of the RRL pulsation properties and their connection with known Milky Way satellites, and we identify metal-rich RRL candidates in the inner halo. Moreover, we use the phase-space distribution function of RRLs to infer the Milky Way mass profile within 250 kpc. We discuss the details of our analysis and the implications of our results, highlighting the tantalizing potential of DESI, its complementarity with other large surveys, and preliminary results from the upcoming DESI data release, which more than doubles the number of RRLs in our current sample. </p>
title The spectroscopic variation of RR Lyrae stars in the DESI survey
url https://doi.org/10.5281/zenodo.18130132