Performance of the Quasar Spectral Templates for the Dark Energy Spectroscopic Instrument
A. Brodzeller, Kyle Dawson, S. Bailey, Jiaxi Yu, Ashley J. Ross, A. Bault, S. Filbert, J. Aguilar, S. P. Ahlen, D. M. Alexander, E. Armengaud, A. Berti, D. Brooks, E. Chaussidon, Axel de la Macorra, P. Doel, K. Fanning, Victoria A. Fawcett, Andreu Font-Ribera, Satya Gontcho A Gontcho, J. Guy, K. Honscheid, S. Juneau, R. Kehoe, Theodore Kisner, Anthony Kremin, Ting-Wen Lan, Martin Landriau, M. E. Levi, C. Magneville, Paul Martini, Aaron Meisner, R. Miquel, John Moustakas, N. Palanque‐Delabrouille, Will J. Percival, Francisco Prada, C. Ravoux, Graziano Rossi, Christoph Saulder, M. Siudek, G. Tarlé, B. A. Weaver, Samantha Youles, Zheng Zheng, Rongpu Zhou, Zhimin Zhou
Abstract
Abstract Millions of quasar spectra will be collected by the Dark Energy Spectroscopic Instrument (DESI), leading to a fourfold increase in the number of known quasars. High-accuracy quasar classification is essential to tighten constraints on cosmological parameters measured at the highest redshifts DESI observes ( z > 2.0). We present spectral templates for identification and redshift estimation of quasars in the DESI Year 1 data release. The quasar templates are comprised of two quasar eigenspectra sets, trained on spectra from the Sloan Digital Sky Survey. The sets are specialized to reconstruct quasar spectral variation observed over separate yet overlapping redshift ranges and, together, are capable of identifying DESI quasars from 0.05 < z < 7.0. The new quasar templates show significant improvement over the previous DESI quasar templates regarding catastrophic failure rates, redshift precision and accuracy, quasar completeness, and the contamination fraction in the final quasar sample.