Result: Mining the MACHO dataset

Title:
Mining the MACHO dataset
Authors:
HEGLAND, Markus, CLARKE, William, KAHN, Margaret
Source:
Proceedings of the conference on computational physics 2000 New challenges for the new millenium, Gold Coast, Queensland, Australia, December 3-8, 2000Computer physics communications. 142(1-3):22-28
Publisher Information:
Amsterdam: Elsevier Science, 2001.
Publication Year:
2001
Physical Description:
print, 17 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Theoretical physics, Physique théorique, 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, Analyse des séries temporelles, variabilité temporelle, Time series analysis, time variability, Etoile variable, Variable stars, Fouille donnée, Data mining, Halo galactique, Galactic halos, Microlentille, Microlenses, Modélisation, Modelling, Objet compact, Compact objects, Particule massive, Massive particle, Partícula masiva, Télescope, Telescopes, MACHO, Massive compact halo objects
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Computer Sciences Laboratory, RSISE, Australian National University, Canberra ACT 0200, Australia
ANU Supercomputer Facility, Australian National University, Canberra ACT 0200, Australia
ISSN:
0010-4655
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=13423247
Rights:
Copyright 2002 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.13423247
Database:
PASCAL Archive

Further Information

In order to detect massive compact halo objects (MACHOs) using microlensing, nightly images of the Large and Small Magellanic Clouds and the Galactic Bulge were taken between 1992 and 2000 with a 1.27 meter telescope. The resulting data contains 8.1010 photometric measurements of star light intensity magnitudes in the red and blue bands for 60 million stars. It has been suggested that the wealth of data may be used to discover new types of variable stars. We briefly outline some methods which may assist the astronomer in classifying variable stars which occur in the MACHO data. First, the almost periodic behavior of many long-period variable stars is used to obtain estimates of the magnitudes on a regular grid and also in regions of missing values. Then some simple features are suggested which characterize the star time series. A classifier based on additive models using these features has been implemented and is part of a tool which can be used in the search for new time series classes.