Performance of the Quasar Spectral Templates for the Dark Energy Spectroscopic Instrument
Allyson Brodzeller, Kyle Dawson, Stephen Bailey, Jiaxi Yu, A. J. Ross, A. Bault, S. Filbert, J. Aguilar, S. Ahlen, David M. Alexander, E. Armengaud, A. Berti, D. Brooks, E. Chaussidon, A. de la Macorra, P. Doel, K. Fanning, V. A. Fawcett, A. Font-Ribera, S. Gontcho A Gontcho, J. Guy, K. Honscheid, S. Juneau, R. Kehoe, T. Kisner, Anthony Kremin, Ting-Wen Lan, M. Landriau, Michael E. Levi, C. Magneville, Paul Martini, Aaron M. Meisner, R. Miquel, J. Moustakas, N. Palanque-Delabrouille, W. J. Percival, F. Prada, C. Ravoux, Graziano Rossi, C. Saulder, M. Siudek, Gregory Tarlé, B. A. Weaver, S. Youles, Zheng Zheng, Rongpu Zhou, Zhimin Zhou
TL;DR
This paper introduces two DESI QSO template sets—low-z (0.05<z<1.6) and high-z (1.4<z<7.0)—trained on ~2×10^5 SDSS QSO spectra to better capture spectral diversity and redshift evolution. Panels of clustering, redshift re-alignment via Mg II, and EMPCA-derived eigenspectra yield templates that improve QSO completeness and reduce catastrophic failures while preserving the galaxy sample. Compared with the previous DESI templates, the new templates achieve a global redshift-precision improvement (MAD down to ~57 km s^{-1}) and significantly reduce redshift biases across most tracers, with notable gains for BALQSOs when BAL features are masked. These advances meet DESI’s redshift-precision and bias requirements for tracer and Lyα QSOs and are expected to enhance cosmological analyses relying on QSO clustering and Lyα forest measurements; future work includes incorporating Lyα forest optical depth and dedicated BAL templates to further mitigate residual biases.
Abstract
Millions of quasar spectra will be collected by the Dark Energy Spectroscopic Instrument (DESI), leading to a four-fold 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 the 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.
