Publication detail

Knowledge Discovery in Mega-Spectra Archives

LOPATOVSKÝ, L. PALIČKA, A. ŠKODA, P. VÁŽNÝ, J. VRÁBELOVÁ, P.

Original Title

Knowledge Discovery in Mega-Spectra Archives

Type

conference paper

Language

English

Original Abstract

The recent progress of astronomical instrumentation resulted in the constructionof multi-object spectrographs with hundreds to thousands of micro-slits or opticalfibers allowing the acquisition of tens of thousands of spectra of celestial objectsper observing night. Currently there are several spectroscopic surveys containingmillions of spectra and much larger are in preparation. Most of the large-scalesurveys are processed spectrum by spectrum in order to estimate physical param-eters of individual objects. The parameters obtained are then used to constructthe better models of space-kinematic structure and evolution of the Universe orits subsystems. Such surveys are, however, very good source of homogenized, pre-processed data for application of machine learning techniques and advanced statis-tical processing common in Astroinformatics. We present challenges of knowledgediscovery process applied to large spectroscopic surveys as well as memory spaceand processing speed demands of current machine learning methods, requiring BigData techniques.

Keywords

multi-object spectrographs, machine learning techniques, astroinformatics

Authors

LOPATOVSKÝ, L.; PALIČKA, A.; ŠKODA, P.; VÁŽNÝ, J.; VRÁBELOVÁ, P.

Released

17. 12. 2014

Publisher

Astronomical Society of the Pacific

Location

Calgary

ISBN

978-1-58381-874-9

Book

ASTRONOMICAL DATA ANALYSIS SOFTWARE AND SYSTEMS: XXIV

Edition

Astronomical Society of the Pacific Conference Series

Pages from

87

Pages to

90

Pages count

4

URL

http://www.gothard.hu/gao-mkk/memorabilia/bigdataconf-2014/proceedings/pdf/BigDataConf-proceedings.021-026.pdf

BibTex

@inproceedings{BUT163431,
  author="LOPATOVSKÝ, L. and PALIČKA, A. and ŠKODA, P. and VÁŽNÝ, J. and VRÁBELOVÁ, P.",
  title="Knowledge Discovery in Mega-Spectra Archives",
  booktitle="ASTRONOMICAL DATA ANALYSIS SOFTWARE AND SYSTEMS: XXIV",
  year="2014",
  series="Astronomical Society of the Pacific Conference Series",
  pages="87--90",
  publisher="Astronomical Society of the Pacific",
  address="Calgary",
  isbn="978-1-58381-874-9",
  url="http://www.gothard.hu/gao-mkk/memorabilia/bigdataconf-2014/proceedings/pdf/BigDataConf-proceedings.021-026.pdf"
}