Automatic classification of sources in large astronomical catalogs

doi:10.1017/S1743921319002576

Automatic classification of sources in large astronomical catalogs

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Automatic classification of sources in large astronomical catalogs

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Bibliographic description

title:	Automatic classification of sources in large astronomical catalogs
author:	Pollo Agnieszka , Solarz Aleksandra, Siudek Małgorzata, Małek Katarzyna, Bilicki Maciej, Krakowski Tomasz, Takeuchi Tsutomu
editor:	Boquien Médéric, Lusso Elisabeta, Gruppioni Carlotta, Tissera Patricia
institution:	Vipers Team
book title:	Challenges in panchromatic modelling with next generation facilities : proceedings of the 341st Symposium of the International Astronomical Union held in Osaka, Japan, 12-16 November, 2018
volume:	15
date of publication :	2020
place of publication : name of publisher:	Cambridge : Cambridge University Press
pages:	109-113
ISBN:	978-1-108-47147-3
series:	Proceedings of the International Astronomical Union, ISSN 1743-9213, eISSN 1743-9221; No. 341
DOI:	10.1017/S1743921319002576
language:	English
book language:	English
abstract in English:	In this paper we address two questions related to data analysis in large astronomical datasets, and we demonstrate how they can be answered making use of machine learning techniques. The first question is: how to efficiently find previously unknown or rare objects which can be expected to exist in big data samples? Using the largest existing extragalactic all-sky survey, provided by the WISE satellite, we demonstrate that, surprisingly, supervised classification methods can come to aid. The second question is: having a sufficiently large data sample, how can we look for new optimal classification schemes, possibly finding new and previously unknown classes and subclasses of sources? Based on the VIPERS cutting-edge galaxy catalog at redshift z > 0.5, we demonstrate that unsupervised classification methods can give unexpected but physically well-motivated results.
keywords in English:	galaxies: statistics, quasars: general, surveys
number of pulisher's sheets:	0,80
conference:	IAU Symposium 341, Challenges in Panchromatic Modelling with Next Generation Facilities; 2018-11-12; 2018-11-16; Osaka; Japonia; ; indeksowana w Scopus; ADS;
affiliation:	Wydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut – Obserwatorium Astronomiczne
type:	chapter
subtype:	conference proceedings