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An adaptive-binning method for generating constant-uncertainty/constant-significance light curves with Fermi-LAT data
Lott B., Escande L., Larsson S., Ballet J.
Astronomy and Astrophysics 544 (2012) 12 - http://hal.in2p3.fr/in2p3-00738848
Physique/Astrophysique/Phénomènes cosmiques de haute energie
Planète et Univers/Astrophysique/Phénomènes cosmiques de haute energie
An adaptive-binning method for generating constant-uncertainty/constant-significance light curves with Fermi-LAT data
B. Lott1, L. Escande1, S. Larsson, J. Ballet2
1 :  CENBG - Centre d'Etudes Nucléaires de Bordeaux Gradignan
http://www.cenbg.in2p3.fr/
CNRS : UMR5797 – IN2P3 – Université Sciences et Technologies - Bordeaux I
Chemin du Solarium - BP 120 - 33175 Gradignan Cedex
France
2 :  AIM - UMR 7158 - Astrophysique Interactions Multi-échelles
http://irfu.cea.fr/Sap/
CNRS : UMR7158 – INSU – Université Paris VII - Paris Diderot – CEA : DSM/IRFU
AIM - UMR 7158, Service d'astrophysique, CEA/Saclay, Orme des Merisiers F-91191 GIF SUR YVETTE CEDEX
France
GLAST
Aims. We present a method enabling the creation of constant-uncertainty/constant-significance light curves with the data of the Fermi-Large Area Telescope (LAT). The adaptive-binning method enables more information to be encapsulated within the light curve than with the fixed-binning method. Although primarily developed for blazar studies, it can be applied to any sources. Methods. This method allows the starting and ending times of each interval to be calculated in a simple and quick way during a first step. The reported mean flux and spectral index (assuming the spectrum is a power-law distribution) in the interval are calculated via the standard LAT analysis during a second step. Results. The absence of major caveats associated with this method has been established by means of Monte-Carlo simulations. We present the performance of this method in determining duty cycles as well as power-density spectra relative to the traditional fixed-binning method.

Articles dans des revues avec comité de lecture
2012
Astronomy and Astrophysics (Astron. Astrophys.)
Publisher EDP Sciences
ISSN 0004-6361 (eISSN : 1432-0756)
544
12

methods: data analysis