TY - JOUR
T1 - Reconstruction of multiple Compton scattering events in MeV gamma-ray Compton telescopes towards GRAMS
T2 - The physics-based probabilistic model
AU - Yoneda, Hiroki
AU - Odaka, Hirokazu
AU - Ichinohe, Yuto
AU - Takashima, Satoshi
AU - Aramaki, Tsuguo
AU - Aoyama, Kazutaka
AU - Asaadi, Jonathan
AU - Fabris, Lorenzo
AU - Inoue, Yoshiyuki
AU - Karagiorgi, Georgia
AU - Khangulyan, Dmitry
AU - Kimura, Masato
AU - Leyva, Jonathan
AU - Mukherjee, Reshmi
AU - Nakasone, Taichi
AU - Perez, Kerstin
AU - Sakurai, Mayu
AU - Seligman, William
AU - Tanaka, Masashi
AU - Tsuji, Naomi
AU - Yorita, Kohei
AU - Zeng, Jiancheng
N1 - Funding Information:
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 .
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/11
Y1 - 2022/11
N2 - 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.
AB - 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.
KW - Compton camera
KW - Event reconstruction
KW - MeV gamma-ray
UR - http://www.scopus.com/inward/record.url?scp=85130805260&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85130805260&partnerID=8YFLogxK
U2 - 10.1016/j.astropartphys.2022.102765
DO - 10.1016/j.astropartphys.2022.102765
M3 - Article
AN - SCOPUS:85130805260
SN - 0927-6505
VL - 144
JO - Astroparticle Physics
JF - Astroparticle Physics
M1 - 102765
ER -