Abstract Details
| Name: Sanket Jayvantbhai Kotak Affiliation: Tata Institute of Fundamental Research Conference ID: ASI2015_651 Title : Science data analysis technique for Soft X-ray Telescope of Astrosat Authors and Co-Authors : Ashutosh Bajpai (TIFR,Mumbai) Kallol Mukerjee (TIFR,Mumbai) Irfan Mirza (TIFR,Mumbai) Navita Thakkar (SAC-ISRO,Ahmedabad) K.P.Singh (TIFR,Mumbai) Abstract Type : Poster Abstract Category : Instrumentation and Techniques Abstract : This paper describes technique used for analysis of science data which would be obtained through astronomical observations by Soft X-ray Telescope; an instrument on board Indian satellite mission, ASTROSAT. The architecture of software system is so designed to include all the required configurations and components that make up complete data analysis chain with the concept of automated data pipeline processing system. This pipeline processing architecture is most suitable for applications those require a well defined processing steps and series of computations to be performed on time ordered data. In order to accurately analyze data, updated calibration database (CALDB) must be generated and made accessible on local directory. Data received from the spacecraft, via telemetry dumps at the ground station are defined as Level-0 raw data files and are used to create Level-1 FITS files containing decoded raw packets from the instrument. These files then undergo a data processing chain that automatically or optionally semi-automatically perform the data-reduction and data-analysis processes for the SXT instrument. The overall process include event extraction and time tagging from telemetry packets, coordinate transformation, bad and hot pixel detection, bias and gain-offset corrections, data filtering and screening and generation of calibrated and cleaned event lists for generation of Level-2 data products such as image, spectrum, light-curve. The cleaned event file so generated can undergo further processing by standard astronomical tools for further analysis of the science data. The basic design of the analysis software and preliminary results obtained are presented in this paper. |