Back to Search Start Over

Data acquisition system and ground calibration of polarized gamma-ray observer (PoGOLite)

Authors :
Takahashi, Hiromitsu
Chauvin, Maxime
Fukazawa, Yasushi
Jackson, Miranda
Kamae, Tuneyoshi
Kawano, Takafumi
Kiss, Mozsi
Kole, Merlin
Mikhalev, Victor
Mizuno, Tsunefumi
Moretti, Elena
Pearce, Mark
Rydström, Stefan
Takahashi, Hiromitsu
Chauvin, Maxime
Fukazawa, Yasushi
Jackson, Miranda
Kamae, Tuneyoshi
Kawano, Takafumi
Kiss, Mozsi
Kole, Merlin
Mikhalev, Victor
Mizuno, Tsunefumi
Moretti, Elena
Pearce, Mark
Rydström, Stefan
Publication Year :
2014

Abstract

The Polarized Gamma-ray Observer, PoGOLite, is a balloon experiment with the capability of detecting 10% polarization from a 200 mCrab celestial object between the energy-range 25-80 keV in one 6 hour flight. Polarization measurements in soft gamma-rays are expected to provide a powerful probe into high-energy emission mechanisms in/around neutron stars, black holes, supernova remnants, active-galactic nuclei etc. The pathfinder flight was performed in July 2013 for 14 days from Sweden to Russia. The polarization is measured using Compton scattering and photoelectric absorption in an array of 61 well-type phoswich detector cells (PDCs) for the pathfinder instrument. The PDCs are surrounded by 30 BGO crystals which form a side anti-coincidence shield (SAS) and passive polyethylene neutron shield. There is a neutron detector consisting of LiCaAlF6 (LiCAF) scintillator covered with BGOs to measure the background contribution of atmospheric neutrons. The data acquisition system treats 92 PMT signals from 61 PDCs + 30 SASs + 1 neutron detector, and it is developed based on SpaceWire spacecraft communication network. Most of the signal processing is done by digital circuits in Field Programmable Gate Arrays (FPGAs). This enables the reduction of the mass, the space and the power consumption. The performance was calibrated before the launch.<br />QC 20150604

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1234239510
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1117.12.2056723