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Localization algorithms for micro-channel x-ray telescope on board SVOM space mission
- Source :
- SPIE Proceedings.
- Publication Year :
- 2016
- Publisher :
- SPIE, 2016.
-
Abstract
- SVOM is a French-Chinese space mission to be launched in 2021, whose goal is the study of Gamma-Ray Bursts, the most powerful stellar explosions in the Universe. The Micro-channel X-ray Telescope (MXT) is an X-ray focusing telescope, on board SVOM, with a field of view of 1 degree (working in the 0.2-10 keV energy band), dedicated to the rapid follow-up of the Gamma-Ray Bursts counterparts and to their precise localization (smaller than 2 arc minutes). In order to reduce the optics mass and to have an angular resolution of few arc minutes, a Lobster-Eye" configuration has been chosen. Using a numerical model of the MXT Point Spread Function (PSF) we simulated MXT observations of point sources in order to develop and test different localization algorithms to be implemented on board MXT. We included preliminary estimations of the instrumental and sky background. The algorithms on board have to be a combination of speed and precision (the brightest sources are expected to be localized at a precision better than 10 arc seconds in the MXT reference frame). We present the comparison between different methods such as barycentre, PSF fitting in one or two dimensions. The temporal performance of the algorithms is being tested using the X-ray afterglow data base of the XRT telescope on board the NASA Swift satellite.
- Subjects :
- Point spread function
Physics
Swift Gamma-Ray Burst Mission
Astrophysics::High Energy Astrophysical Phenomena
media_common.quotation_subject
Astrophysics::Instrumentation and Methods for Astrophysics
Astronomy
Field of view
X-ray telescope
02 engineering and technology
Astrophysics
021001 nanoscience & nanotechnology
01 natural sciences
law.invention
010309 optics
Telescope
Sky
law
0103 physical sciences
Angular resolution
0210 nano-technology
Gamma-ray burst
Algorithm
media_common
Subjects
Details
- ISSN :
- 0277786X
- Database :
- OpenAIRE
- Journal :
- SPIE Proceedings
- Accession number :
- edsair.doi...........81fc9518aa1e7778f914a89cab857b7b