Estimating Bolometric Luminosities of Type 1 Quasars with Self-Organizing Maps

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Main Authors: Chen, Jie, Jiang, Linhua, Sun, Shengxiu, Zhang, Zijian, Sun, Mouyuan
Format: Preprint
Published: 2025
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author Chen, Jie
Jiang, Linhua
Sun, Shengxiu
Zhang, Zijian
Sun, Mouyuan
author_facet Chen, Jie
Jiang, Linhua
Sun, Shengxiu
Zhang, Zijian
Sun, Mouyuan
contents We present a new method to calculate bolometric luminosities for unobscured, type 1 quasars with multi-band photometric data. Bolometric luminosity is a fundamental property to understand quasars and it is commonly estimated from monochromatic luminosities using bolometric corrections that often neglect quasar SED diversity. We take advantage of the fact that most quasars now have multi-band observations from UV to mid-IR, and construct SEDs for a well-defined sample of SDSS quasars at $0.5\leq z\leq 2$. Based on this fiducial sample, we explore quasar SEDs, their diversity, and their relations with bolometric luminosities. We then use unsupervised neural network self-organizing maps (SOM) to describe the SED diversity and compute the bolometric luminosities with a fully-trained SOM model. This method reduces systematical uncertainties compared to the traditional method. In addition, we update the multi-linear regression relations between bolometric luminosity and monochromatic luminosities at restframe 1450Å, 3000Å, and 5100Å. Our method is applicable to large quasar samples with a wide range of luminosity and redshift. We have applied it to the SDSS DR16 quasars. We have also made our code publicly available.
format Preprint
id arxiv_https___arxiv_org_abs_2506_04329
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Estimating Bolometric Luminosities of Type 1 Quasars with Self-Organizing Maps
Chen, Jie
Jiang, Linhua
Sun, Shengxiu
Zhang, Zijian
Sun, Mouyuan
Cosmology and Nongalactic Astrophysics
Astrophysics of Galaxies
High Energy Astrophysical Phenomena
We present a new method to calculate bolometric luminosities for unobscured, type 1 quasars with multi-band photometric data. Bolometric luminosity is a fundamental property to understand quasars and it is commonly estimated from monochromatic luminosities using bolometric corrections that often neglect quasar SED diversity. We take advantage of the fact that most quasars now have multi-band observations from UV to mid-IR, and construct SEDs for a well-defined sample of SDSS quasars at $0.5\leq z\leq 2$. Based on this fiducial sample, we explore quasar SEDs, their diversity, and their relations with bolometric luminosities. We then use unsupervised neural network self-organizing maps (SOM) to describe the SED diversity and compute the bolometric luminosities with a fully-trained SOM model. This method reduces systematical uncertainties compared to the traditional method. In addition, we update the multi-linear regression relations between bolometric luminosity and monochromatic luminosities at restframe 1450Å, 3000Å, and 5100Å. Our method is applicable to large quasar samples with a wide range of luminosity and redshift. We have applied it to the SDSS DR16 quasars. We have also made our code publicly available.
title Estimating Bolometric Luminosities of Type 1 Quasars with Self-Organizing Maps
topic Cosmology and Nongalactic Astrophysics
Astrophysics of Galaxies
High Energy Astrophysical Phenomena
url https://arxiv.org/abs/2506.04329