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Deep Spectroscopy with DESI for Photometric Redshift Training and Calibration
Biprateep Dey, Jeffrey A. Newman, Tianqing Zhang +62
Deep spectroscopic samples can be used to improve photometric redshift (photo-) estimates and reduce uncertainties on redshift distributions. Such improvements can increase the…
Bayesian Component Separation for DESI LAE Automated Spectroscopic Redshifts and Photometric Targeting
Ana Sofía M. Uzsoy, Andrew K. Saydjari, Arjun Dey +37
Lyman Alpha Emitters (LAEs) are valuable high-redshift cosmological probes traditionally identified using specialized narrow-band photometric surveys. In ground-based spectroscopy,…
Validation of the DESI DR2 Ly BAO analysis using synthetic datasets
L. Casas, H. K. Herrera-Alcantar, J. Chaves-Montero +95
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- (Ly…
Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument
B. Abareshi, J. Aguilar, S. Ahlen +264
The Dark Energy Spectroscopic Instrument (DESI) has embarked on an ambitious five-year survey to explore the nature of dark energy with spectroscopy of 40 million galaxies and quas…