Knowledge Discovery in Mega-Spectra Archives
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F15%3A00115925" target="_blank" >RIV/00216224:14310/15:00115925 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Knowledge Discovery in Mega-Spectra Archives
Original language description
The recent progress of astronomical instrumentation resulted in the construction of multi-object spectrographs with hundreds to thousands of micro-slits or optical fibres allowing the acquisition of tens of thousands of spectra of celestial objects per observing night. Currently there are two spectroscopic surveys containing millions of spectra. These surveys are being processed by automatic pipelines, spectrum by spectrum, in order to estimate physical parameters of individual objects resulting in extensive catalogues, used typically to construct the better models of space-kinematic structure and evolution of the Universe or its subsystems. Such surveys are, however, very good source of homogenised, pre-processed data for application of machine learning techniques common in Astroinformatics. We present challenges of knowledge discovery in such surveys as well as practical examples of machine learning based on specific shapes of spectral features used in searching for new candidates of interesting astronomical objects, namely Be and B [e] stars and quasars.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10308 - Astronomy (including astrophysics,space science)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ASTRONOMICAL DATA ANALYSIS SOFTWARE AND SYSTEMS: XXIV
ISBN
9781583818756
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
87-90
Publisher name
ASTRONOMICAL SOC PACIFIC
Place of publication
SAN FRANCISCO
Event location
Univ Calgary, Calgary, CANADA
Event date
Oct 5, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000371098000016