Performance of the Quasar Spectral Templates for the Dark Energy Spectroscopic Instrument

Performance of the Quasar Spectral Templates for the Dark Energy Spectroscopic Instrument
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DOI:
10.3847/1538-3881/ace35d
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发表时间:
2023-05
期刊:
The Astronomical Journal
影响因子:
--
通讯作者:
A. Brodzeller;K. Dawson;S. Bailey;Jiaxi Yu;A. Ross;A. Bault;S. Filbert;J. Aguilar;S. Ahlen;D. Alexander;E. Armengaud;A. Berti;D. Brooks;E. Chaussidon;A. de la Macorra;P. Doel;K. Fanning;V. A. Fawcett;A. Font-Ribera;S. G. A Gontcho;J. Guy;K. Honscheid;S. Juneau;R. Kehoe;T. Kisner;A. Kremin;Ting-Wen Lan;M. Landriau;M. Levi;C. Magneville;P. Martini;A. Meisner;R. Miquel;J. Moustakas;N. Palanque-Delabrouille;W. Percival;F. Prada;C. Ravoux;G. Rossi;C. Saulder;M. Siudek;G. Tarl'e;B. Weaver;S. Youles;Zheng Zheng-Zheng;R. Zhou;Zhi-min Zhou
A. Brodzeller;K. Dawson;S. Bailey;Jiaxi Yu;A. Ross;A. Bault;S. Filbert;J. Aguilar;S. Ahlen;D. Alexander;E. Armengaud;A. Berti;D. Brooks;E. Chaussidon;A. de la Macorra;P. Doel;K. Fanning;V. A. Fawcett;A. Font-Ribera;S. G. A Gontcho;J. Guy;K. Honscheid;S. Juneau;R. Kehoe;T. Kisner;A. Kremin;Ting-Wen Lan;M. Landriau;M. Levi;C. Magneville;P. Martini;A. Meisner;R. Miquel;J. Moustakas;N. Palanque-Delabrouille;W. Percival;F. Prada;C. Ravoux;G. Rossi;C. Saulder;M. Siudek;G. Tarl'e;B. Weaver;S. Youles;Zheng Zheng-Zheng;R. Zhou;Zhi-min Zhou
中科院分区:
其他
文献类型:
--
作者:
A. Brodzeller;K. Dawson;S. Bailey;Jiaxi Yu;A. Ross;A. Bault;S. Filbert;J. Aguilar;S. Ahlen;D. Alexander;E. Armengaud;A. Berti;D. Brooks;E. Chaussidon;A. de la Macorra;P. Doel;K. Fanning;V. A. Fawcett;A. Font-Ribera;S. G. A Gontcho;J. Guy;K. Honscheid;S. Juneau;R. Kehoe;T. Kisner;A. Kremin;Ting-Wen Lan;M. Landriau;M. Levi;C. Magneville;P. Martini;A. Meisner;R. Miquel;J. Moustakas;N. Palanque-Delabrouille;W. Percival;F. Prada;C. Ravoux;G. Rossi;C. Saulder;M. Siudek;G. Tarl'e;B. Weaver;S. Youles;Zheng Zheng-Zheng;R. Zhou;Zhi-min Zhou

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暗能量光谱仪(DESI)将收集数百万个类星体光谱,导致已知类星体数量增加四倍。高精度的类星体分类对于严格限制DESI观测到的最高红移(z > 2.0)的宇宙学参数是必不可少的。我们目前的光谱模板识别和红移估计类星体的DESI年1数据发布。类星体模板由两个类星体本征光谱集组成,它们是在斯隆数字巡天的光谱上训练的。这些集合专门用于重建在不同但重叠的红移范围内观察到的类星体光谱变化,并且能够识别0.05 < z < 7.0的DESI类星体。新的类星体模板在灾难性故障率、红移精度和准确性、类星体完整性以及最终类星体样本中的污染分数方面比以前的DESI类星体模板有了显着的改进。
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.