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Detection of quasars in the time domain

Published online by Cambridge University Press:  30 May 2017

Matthew J. Graham Open the ORCID record for Matthew J. Graham [Opens in a new window] ,
S. G. Djorgovski ,
Daniel J. Stern ,
Andrew Drake  and
Ashish Mahabal Open the ORCID record for Ashish Mahabal [Opens in a new window]
Matthew J. Graham
Affiliation:
California Institute of Technology, Pasadena CA, USA email: [email protected], [email protected], [email protected], [email protected] National Optical Astronomy Observatory, Tucson AZ, USA
S. G. Djorgovski
Affiliation:
California Institute of Technology, Pasadena CA, USA email: [email protected], [email protected], [email protected], [email protected]
Daniel J. Stern
Affiliation:
JPL, Pasadena CA, USA email: [email protected]
Andrew Drake
Affiliation:
California Institute of Technology, Pasadena CA, USA email: [email protected], [email protected], [email protected], [email protected]
Ashish Mahabal
Affiliation:
California Institute of Technology, Pasadena CA, USA email: [email protected], [email protected], [email protected], [email protected]
Rights & Permissions [Opens in a new window]

Abstract

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The time domain is the emerging forefront of astronomical research with new facilities and instruments providing unprecedented amounts of data on the temporal behavior of astrophysical populations. Dealing with the size and complexity of this requires new techniques and methodologies. Quasars are an ideal work set for developing and applying these: they vary in a detectable but not easily quantifiable manner whose physical origins are poorly understood. In this paper, we will review how quasars are identified by their variability and how these techniques can be improved, what physical insights into their variability can be gained from studying extreme examples of variability, and what approaches can be taken to increase the number of quasars known. These will demonstrate how astroinformatics is essential to discovering and understanding this important population.

Keywords

quasars - generalmethods - statisticalsurveyscatalogsaccretion disks
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 12 , Symposium S325: Astroinformatics , October 2016 , pp. 231 - 241
Copyright
Copyright © International Astronomical Union 2017 

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