• Light-curve classification in...

Treffer: Light-curve classification in massive variability surveys. II. Transients towards the Large Magellanic Cloud

Title:
Light-curve classification in massive variability surveys. II. Transients towards the Large Magellanic Cloud
Authors:
BELOKUROV, Vasily, EVANS, N. Wyn, LE DU, Yann
Source:
Monthly Notices of the Royal Astronomical Society. 352(1):233-242
Publisher Information:
Oxford: Blackwell Science, 2004.
Publication Year:
2004
Physical Description:
print, 31 ref
Original Material:
INIST-CNRS
Subject Terms:
Astronomy earth cosmic environment, Astronomie et environnement cosmique terrestre, Sciences exactes et technologie, Exact sciences and technology, Terre, ocean, espace, Earth, ocean, space, Astronomie, Astronomy, Astronomie fondamentale et astrophysique. Instrumentation, techniques, et observations astronomiques, Fundamental astronomy and astrophysics. Instrumentation, techniques, and astronomical observations, Techniques d'observation et de réduction des données. Simulation et modélisation par ordinateur, Observation and data reduction techniques. Computer modeling and simulation, Méthodes mathématiques et méthodes de simulation sur ordinateur, Mathematical procedures and computer techniques, Systèmes stellaires. Objets et systèmes galactiques et extragalactiques. L'univers, Stellar systems. Galactic and extragalactic objects and systems. The universe, Caractéristiques et propriétés des galaxies externes et des objets extragalactiques, Characteristics and properties of external galaxies and extragalactic objects, Lentilles gravitationnelles et arcs lumineux, Gravitational lenses and luminous arcs, Algorithme, Algorithms, Analyse donnée, Data analysis, Classification automatique, Automatic classification, Clasificación automática, Courbe lumière, Light curves, Epaisseur optique, Optical thickness, Espesor óptico, Galaxies, Grand Nuage Magellan, Large Magellanic Cloud, Microlentille, Microlenses, Mirage gravitationnel, Gravitational lensing, Espejismo gravitacional, Population stellaire, Stellar population, Población estelar, Probabilité, Probability, Réseau neuronal, Neural networks, Supernova, Supernovae, gravitational lensing, methods: data analysis, stars: variables: other
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Theoretical Physics, Department of Physics, 1 Keble Road, Oxford OX1 3NP, United Kingdom
Institute of Astronomy, Madingley Rd, Cambridge CB3 0HA, United Kingdom
ISSN:
0035-8711
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=15931949
Rights:
Copyright 2004 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Astronomy
Accession Number:
edscal.15931949
Database:
PASCAL Archive

Weitere Informationen

Automatic classification of variability is now possible with tools such as neural networks. Here, we present two neural networks for the identification of microlensing events: the first discriminates against variable stars and the second against supernovae. The inputs to the networks include parameters describing the shape and the size of the light curve, together with the colour of the event. The network computes the posterior probability of microlensing, together with an estimate of the likely error. An algorithm is devised for direct calculation of the microlensing rate from the output of the neural networks. We present a new analysis of the microlensing candidates towards the Large Magellanic Cloud (LMC). The neural networks confirm the microlensing nature of only seven of the possible 17 events identified by the MACHO experiment. This suggests that earlier estimates of the microlensing optical depth towards the LMC may have been overestimated. A smaller number of events is consistent with the assumption that all the microlensing events are caused by the known stellar populations in the outer Galaxy/LMC.