Abstract
Aimed at progress in mega-electron volt (MeV) gamma-ray astronomy, which has not yet been well-explored, Compton telescope missions with a variety of detector concepts have been proposed so far. One of the key techniques for these future missions is an event reconstruction algorithm that is able to determine the scattering orders of multiple Compton scattering events and to identify events in which gamma rays escape from the detectors before they deposit all of their energies. We revisit previous event reconstruction methods and propose a modified algorithm based on a probabilistic method. First, we present a general formalism of the probabilistic model of Compton scattering describing physical interactions inside the detector and measurement processes. Then, we also introduce several approximations in the calculation of the probability functions for efficient computation. For validation, the developed algorithm has been applied to simulation data of a Compton telescope using a liquid argon time projection chamber, which is a new type of Compton telescope proposed for the GRAMS project. We have confirmed that it works successfully for up to 8-hit events, including correction of incoming gamma-ray energies for escape events. The proposed algorithm can be used for next-generation MeV gamma-ray missions featured by large-volume detectors, e.g., GRAMS.
Original language | English |
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Article number | 102765 |
Journal | Astroparticle Physics |
Volume | 144 |
DOIs | |
State | Published - Nov 2022 |
Funding
We acknowledge support from JSPS KAKENHI grant numbers 18H05458 , 19K14772 , 20H00153 , 20K14524 , 20K20527 , and 20K22355 , and by RIKEN Incentive Research Projects , and by Toray Science and Technology Grant No. 20-6104 (Toray Science Foundation). YI was supported by World Premier International Research Center Initiative (WPI), MEXT, Japan .
Keywords
- Compton camera
- Event reconstruction
- MeV gamma-ray