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Classification and photometric redshift estimation of quasars in photometric surveys

Published online by Cambridge University Press:  29 March 2021

L. M. Izuti Nakazono Open the ORCID record for L. M. Izuti Nakazono [Opens in a new window] ,
C. Mendes de Oliveira ,
N. S. T. Hirata ,
S. Jeram ,
A. Gonzalez ,
S. Eikenberry ,
C. Queiroz ,
R. Abramo  and
R. Overzier
L. M. Izuti Nakazono
Affiliation:
Instituto de Astronomia, Geofísica e Ciências Atmosféricas da U. de São Paulo, Cidade Universitária, 05508-900, São Paulo, SP, Brazil
C. Mendes de Oliveira
Affiliation:
Instituto de Astronomia, Geofísica e Ciências Atmosféricas da U. de São Paulo, Cidade Universitária, 05508-900, São Paulo, SP, Brazil
N. S. T. Hirata
Affiliation:
Departamento de Ciência da Computação, Instituto de Matemática e Estatística da USP, Cidade Universitária, 05508-090, São Paulo, SP, Brazil
S. Jeram
Affiliation:
Department of Astronomy, University of Florida, 211 Bryant Space Center, Gainesville, FL 32611, USA
A. Gonzalez
Affiliation:
Department of Astronomy, University of Florida, 211 Bryant Space Center, Gainesville, FL 32611, USA
S. Eikenberry
Affiliation:
Department of Astronomy, University of Florida, 211 Bryant Space Center, Gainesville, FL 32611, USA
C. Queiroz
Affiliation:
Departamento de Física Matemática, Instituto de Física, Universidade de São Paulo, SP, Rua do Matão 1371, São Paulo, Brazil
R. Abramo
Affiliation:
Departamento de Física Matemática, Instituto de Física, Universidade de São Paulo, SP, Rua do Matão 1371, São Paulo, Brazil
R. Overzier
Affiliation:
Observatório Nacional/MCTIC, Rua General José Cristino 77, Rio de Janeiro, RJ, 20921-400, Brazil
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Abstract

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We present a machine learning methodology to separate quasars from galaxies and stars using data from S-PLUS in the Stripe-82 region. In terms of quasar classification, we achieved 95.49% for precision and 95.26% for recall using a Random Forest algorithm. For photometric redshift estimation, we obtained a precision of 6% using k-Nearest Neighbour.

Keywords

methods: statisticalcatalogsquasars: general
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 15 , Symposium S359: Galaxy Evolution and Feedback across Different Environments , March 2019 , pp. 40 - 41
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of International Astronomical Union

References

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