Spectroscopic QUasar Extractor and redshift (z) Estimator squeze – I. Methodology
| Autor: | Debopam Som, Matthew M. Pieri, Ignasi Pérez-Ràfols, Sean Morrison, Michael Blomqvist |
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| Rok vydání: | 2020 |
| Předmět: |
Physics
Alternative methods 010308 nuclear & particles physics Astrophysics::High Energy Astrophysical Phenomena FOS: Physical sciences Estimator Astronomy and Astrophysics Quasar Astrophysics::Cosmology and Extragalactic Astrophysics Astrophysics Astrophysics - Astrophysics of Galaxies 01 natural sciences Cosmology Spectral line Redshift Extractor Space and Planetary Science Astrophysics of Galaxies (astro-ph.GA) 0103 physical sciences High Energy Physics::Experiment Emission spectrum 010303 astronomy & astrophysics Astrophysics::Galaxy Astrophysics |
| Zdroj: | Monthly Notices of the Royal Astronomical Society. 496:4931-4940 |
| ISSN: | 1365-2966 0035-8711 |
| Popis: | We present SQUEzE, a software package to classify quasar spectra and estimate their redshifts. SQUEzE is a random forest classifier operating on the parameters of candidate emission peaks identified in the spectra. We test the performance of the algorithm using visually inspected data from BOSS as a truth table. Only 4\% of the sample ($\sim$6,800 quasars and $\sim$11,520 contaminants) is needed for converged training in recommended choices of the confidence threshold ($0.2 Comment: 11 pages, 9 figures, 5 tables, accepted to MNRAS |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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