Kavli Affiliate: Linhua Jiang
| First 5 Authors: Jie Chen, Linhua Jiang, Shengxiu Sun, Zijian Zhang, Mouyuan Sun
| Summary:
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 $0.5leq zleq 2$. 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 1450r{A}, 3000r{A}, and 5100r{A}.
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.
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