OTOMASI EKSTRAKSI DATA DAN ANALISIS DATA OBSERVASI MISI SINAR-X SWIFT UNTUK KASUS BLACK HOLE BINARY

• Main Author: Ahmad Azizi, Febrie
• Format: Theses
• Language: Indonesia
• Subjects: Matematika
• Online Access: https://digilib.itb.ac.id/gdl/view/37106
• Institution: Institut Teknologi Bandung

SWIFT is a Gamma-Ray Burst Mission. It can observe a source in many wave- length range from X-ray until ultraviolet. SWIFT is developed in collaboration between UK and Italy. It was launched in Cape Canaveral, USA in November 20th 2004. SWIFT can swiftly change its direction to a gamma-ray source within seconds hence named as a kind of bird with similar ability. SWIFT loaded with three instruments consist of Burst Alert Telescope (BAT), X-Ray Telescope (XRT), and lasty Ultraviolet/Optical Telescope (UVOT). In this work a system with an ability to process observation data from SWIFT automatically will be built. This system will use python as core pro- gramming language then combine it with some tools from HEAsoft to build an integrated system. A level 1 data from XRT will be processed through this work. Then this system will be used to process black hole binaries data based on previous work. Bias between majority observation data and minority ob- servation data will be compared also we will add latest data observation until august 2014. From this comparison we nd that most of the result satisfy the previous work however doesn't give same result as the reference. Those di- rences occur in ux calculation where some of the data give us a NaN result, existence of data which has a high temperature but produce a low luminosity hence it can't satisfy L / T4 relation, and 2 that is lower than 0.5. Overall performace of this system is good, starting from reduction process until tting but still further improvement for user convenience is necessary.