TY - JOUR
T1 - Time projection chamber for GADGET II
AU - Mahajan, Ruchi
AU - Wheeler, T.
AU - Pollacco, E.
AU - Wrede, C.
AU - Adams, A.
AU - Alvarez-Pol, H.
AU - Andalib, A.
AU - Anthony, A.
AU - Ayyad, Y.
AU - Bazin, D.
AU - Budner, T.
AU - Cortesi, M.
AU - Dopfer, J.
AU - Friedman, M.
AU - Jain, B.
AU - Jaros, A.
AU - Pérez-Loureiro, D.
AU - Mehl, B.
AU - De Oliveira, R.
AU - Ravishankar, S.
AU - Sun, L. J.
AU - Surbrook, J.
N1 - Publisher Copyright:
© 2024 American Physical Society.
PY - 2024/9
Y1 - 2024/9
N2 - Background: The established Gaseous Detector with Germanium Tagging (GADGET) detection system is used to measure weak, low-energy β-delayed proton decays. It consists of the Gaseous Proton Detector equipped with a MICROMEGAS (MM) readout to detect protons and other charged particles calorimetrically, surrounded by the Segmented Germanium Array (SeGA) for high-resolution detection of prompt γ rays. Purpose: To upgrade GADGET's Proton Detector to operate as a compact time projection chamber (TPC) for the detection, three-dimensional imaging and identification of low-energy β-delayed single- and multiparticle emissions mainly of interest to astrophysical studies. Method: A new high granularity MM board with 1024 pads has been designed, fabricated, installed, and tested. A high-density data acquisition system based on generic electronics for TPCs (GET) has been installed and optimized to record and process the gas avalanche signals collected on the readout pads. The TPC's performance has been tested using a Rn220α-particle source and cosmic-ray muons. In addition, decay events in the TPC have been simulated by adapting the attpcroot data analysis framework. Furthermore, a novel application of two-dimensional convolutional neural networks for GADGET II event classification is introduced. The optimization of data throughput is also addressed. Results: The GADGET II TPC is capable of detecting and identifying α particles as well as measuring their track direction, range, and energy. The extracted energy resolution of the GADGET II TPC using P10 gas is about 5.4% at 6.288 MeV (Rn220α events), computed using charge integration. Based on a systematic simulation study, we estimated the detection efficiency of the GADGET II TPC for protons and α particles, respectively. It has also been demonstrated that the GADGET II TPC is capable of tracking minimum-ionizing particles (i.e., cosmic-ray muons). From these measurements, the electron drift velocity was measured under typical operating conditions. In addition to being one of the first generation of micropattern gaseous detectors (MPGDs) to utilize a resistive anode applied to low-energy nuclear physics, the GADGET II TPC will also be the first TPC surrounded by a high-efficiency array of high-purity germanium γ-ray detectors. Conclusions: The TPC of GADGET II has been designed, fabricated, and tested and is ready for operation at the Facility for Rare Isotope Beams for radioactive-beam-line experiments.
AB - Background: The established Gaseous Detector with Germanium Tagging (GADGET) detection system is used to measure weak, low-energy β-delayed proton decays. It consists of the Gaseous Proton Detector equipped with a MICROMEGAS (MM) readout to detect protons and other charged particles calorimetrically, surrounded by the Segmented Germanium Array (SeGA) for high-resolution detection of prompt γ rays. Purpose: To upgrade GADGET's Proton Detector to operate as a compact time projection chamber (TPC) for the detection, three-dimensional imaging and identification of low-energy β-delayed single- and multiparticle emissions mainly of interest to astrophysical studies. Method: A new high granularity MM board with 1024 pads has been designed, fabricated, installed, and tested. A high-density data acquisition system based on generic electronics for TPCs (GET) has been installed and optimized to record and process the gas avalanche signals collected on the readout pads. The TPC's performance has been tested using a Rn220α-particle source and cosmic-ray muons. In addition, decay events in the TPC have been simulated by adapting the attpcroot data analysis framework. Furthermore, a novel application of two-dimensional convolutional neural networks for GADGET II event classification is introduced. The optimization of data throughput is also addressed. Results: The GADGET II TPC is capable of detecting and identifying α particles as well as measuring their track direction, range, and energy. The extracted energy resolution of the GADGET II TPC using P10 gas is about 5.4% at 6.288 MeV (Rn220α events), computed using charge integration. Based on a systematic simulation study, we estimated the detection efficiency of the GADGET II TPC for protons and α particles, respectively. It has also been demonstrated that the GADGET II TPC is capable of tracking minimum-ionizing particles (i.e., cosmic-ray muons). From these measurements, the electron drift velocity was measured under typical operating conditions. In addition to being one of the first generation of micropattern gaseous detectors (MPGDs) to utilize a resistive anode applied to low-energy nuclear physics, the GADGET II TPC will also be the first TPC surrounded by a high-efficiency array of high-purity germanium γ-ray detectors. Conclusions: The TPC of GADGET II has been designed, fabricated, and tested and is ready for operation at the Facility for Rare Isotope Beams for radioactive-beam-line experiments.
UR - http://www.scopus.com/inward/record.url?scp=85204114811&partnerID=8YFLogxK
U2 - 10.1103/PhysRevC.110.035807
DO - 10.1103/PhysRevC.110.035807
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AN - SCOPUS:85204114811
SN - 2469-9985
VL - 110
JO - Physical Review C
JF - Physical Review C
IS - 3
M1 - 035807
ER -