The study of Type Ia supernovae spectral diversity using principal component analysis

The study of Type Ia supernovae spectral diversity using principal component analysis

Source :

• Monthly Notices of the Royal Astronomical Society [ 0035-8711 ] ; 2011-02-01.

Descripteurs français

• Pascal (Inist)
  • Analyse composante principale, Analyse donnée, Continuum, Correction, Courbe lumière, Luminosité, Méthode statistique, Spectre discret, Supernova type I.
• Wicri :
  • topic : Méthode statistique.

English descriptors

• KwdEn :
  • Absolute magnitude, Average spectrum, Benetti, Blondin, Blondin tonry, Brighter objects, Bullseye, Bullseye plot, Bullseye plots, Clear trend, Continuous catalogue, Continuous data base, Continuum, Corrections, Cumulative variance, Data analysis, Data base, Data points, Davis figure, Different colours, Different components, Different luminosities, Different types, Discrete spectrum, Distinct group, Emission peaks, Expansion velocity, Extreme events, Flat data, Flat sample, Francis wills, Good indication, Input spectra, Journal compilation, Large data, Larger data, Light curve, Light curves, Line shift, Line shifts, Linear relation, Luminosity, Maximum light, Mnras, Negative weight, Negative weights, Nite, Nite input data base, Nite number, Normal group, Normal type, Obvious trends, Original sample, Original spectrum, Peak luminosity, Peculiar type, Phase range, Photometric properties, Physical properties, Positive weight, Principal component, Principal component analysis, Principal component spectra, Principal components, Quasar spectra, Second component, Second weights, Shape data, Shape sample, Small data, Snid data base, Snid program, Solid line, Spectral, Spectral features, Spectral lines, Spectral observations, Spectral templates, Spectral weights, Spectrum, Standard candles, Standard deviation, Standard deviation outlier, Standard deviations, Statistical method, Supernova, Supernova spectra, Template spectra, Thick line, Type I supernova, Underluminous, Unusual spectra, Velocity gradient, Velocity gradients, Wide range.
• Teeft :
  • Absolute magnitude, Average spectrum, Benetti, Blondin, Blondin tonry, Brighter objects, Bullseye, Bullseye plot, Bullseye plots, Clear trend, Continuous catalogue, Continuous data base, Cumulative variance, Data base, Data points, Davis figure, Different colours, Different components, Different luminosities, Different types, Distinct group, Emission peaks, Expansion velocity, Extreme events, Flat data, Flat sample, Francis wills, Good indication, Input spectra, Journal compilation, Large data, Larger data, Light curve, Line shift, Line shifts, Linear relation, Luminosity, Maximum light, Mnras, Negative weight, Negative weights, Nite, Nite input data base, Nite number, Normal group, Normal type, Obvious trends, Original sample, Original spectrum, Peak luminosity, Peculiar type, Phase range, Photometric properties, Physical properties, Positive weight, Principal component, Principal component analysis, Principal component spectra, Principal components, Quasar spectra, Second component, Second weights, Shape data, Shape sample, Small data, Snid data base, Snid program, Solid line, Spectral, Spectral features, Spectral lines, Spectral observations, Spectral templates, Spectral weights, Spectrum, Standard candles, Standard deviation, Standard deviation outlier, Standard deviations, Supernova, Supernova spectra, Template spectra, Thick line, Underluminous, Unusual spectra, Velocity gradient, Velocity gradients, Wide range.

Abstract

• https://api.istex.fr/document/DFF79945DD11753FB0EF110B2EF7BF0BD8DFC164/fulltext/pdf

Affiliations:

• Australie, Danemark, France
• Île-de-France
• Gif‐sur‐Yvette

Links toward previous steps (curation, corpus...)

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