About: Employing Evolutionary Algorithms for Classification of Astrophysical Spectra     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
rdfs:seeAlso
Description
  • In the past decade, automated astronomical observatories collected huge amounts of data which can no longer be explored by astronomers individually. In our case, we deal with optical spectra produced by multiobject low-resolution spectrographs. Due to lower resolution and higher level of noise in such surveys, individual spectra rarely offer reliable information; however, since many similar objects expectedly exist in the universe, global analysis of the spectrum database may reveal classes of objects sharing similar properties. In this paper, we propose a novel evolutionary approach to classification of spectral data which is expected to achieve finer level of detail than traditional methods. Furthermore, we describe the most computationally-intensive parts of the method in the form of parallel cache-aware algorithm.
  • In the past decade, automated astronomical observatories collected huge amounts of data which can no longer be explored by astronomers individually. In our case, we deal with optical spectra produced by multiobject low-resolution spectrographs. Due to lower resolution and higher level of noise in such surveys, individual spectra rarely offer reliable information; however, since many similar objects expectedly exist in the universe, global analysis of the spectrum database may reveal classes of objects sharing similar properties. In this paper, we propose a novel evolutionary approach to classification of spectral data which is expected to achieve finer level of detail than traditional methods. Furthermore, we describe the most computationally-intensive parts of the method in the form of parallel cache-aware algorithm. (en)
Title
  • Employing Evolutionary Algorithms for Classification of Astrophysical Spectra
  • Employing Evolutionary Algorithms for Classification of Astrophysical Spectra (en)
skos:prefLabel
  • Employing Evolutionary Algorithms for Classification of Astrophysical Spectra
  • Employing Evolutionary Algorithms for Classification of Astrophysical Spectra (en)
skos:notation
  • RIV/00216208:11320/14:10281373!RIV15-GA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA13-08195S), P(GP14-14292P)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 14476
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/14:10281373
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • astroinformatics; astrophysics; classification; spectrum; evolutionary algorithm (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [9338BCF1CF46]
http://linked.open...v/mistoKonaniAkce
  • Jasná, Slovakia
http://linked.open...i/riv/mistoVydani
  • Praha
http://linked.open...i/riv/nazevZdroje
  • ITAT 2014 with Selected Papers from Znalosti 2014
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bednárek, David
  • Yaghob, Jakub
  • Zavoral, Filip
  • Kruliš, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1613-0073
number of pages
http://purl.org/ne...btex#hasPublisher
  • Ústav informatiky AV ČR, vvi;
http://localhost/t...ganizacniJednotka
  • 11320
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software