A new technique to enhance the position resolution of large area plastic scinitillators to reconstruct the cosmic muon tracks

Sehgal, R.; Dey, R.; Behera, S. P.; Netrakanti, P. K.; Mishra, D. K.; Mulmule, D.; Jha, V.; Pant, L. M.

doi:10.1088/1748-0221/17/02/p02036

Cited by 4 publications

(2 citation statements)

References 36 publications

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“…Using this parametrization we can reconstruct the hit position distribution along the length of the PSB. The measured timing resolution of ∼4 ns leads to a parameterized position resolution of ∼20 cm in a single PSB [29,35] and is almost uniform among the different bars. Due to the segmented geometry of the ISMRAN detector, we can exploit the timing and position information for the localization of an event in the ISMRAN array to differentiate an ν e event from a background event arising due to fast neutron [36,37].…”

Section: Ismran Detector Responsementioning

confidence: 82%

Evaluation of the response of plastic scintillator bars and measurement of neutron capture time in non-reactor environment for the ISMRAN experiment

Dey,

Netrakanti,

Mishra

et al. 2022

Preprint

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We present a detailed study on detector response to different radioactive sources and the measurements of nonreactor environmental backgrounds with the Indian Scintillator Matrix for Reactor Anti-Neutrinos (ISMRAN) detector setup consisting of 9×10 Plastic Scintillator Bars (PSBs) array at BARC, Mumbai. These measurements are useful in the context of the ISMRAN detector setup, which will be used to detect the reactor anti-neutrinos (ν e ) and measure its energy spectra, through the inverse beta decay (IBD) process. A GEANT4 based Monte Carlo (MC) simulation is used to understand the optical transmission, energy resolution and energy non-linearity of the ISMRAN detector. A detailed analysis procedure has been developed to understand the natural radioactive, cosmogenic and cosmic muoninduced backgrounds with the ISMRAN detector setup in a non-reactor environment, based on their energy deposition, number of bars hit as well as topological event selection criteria in position and time for triggered events. Data and MC simulated distributions of reconstructed sum energy and number of bars hit has been compared for the radioactive γ + positron source such as 22 Na placed at the center of the ISMRAN array. Fast neutron energy response and capture time distribution in ISMRAN array has been studied using a novel technique involving Time of Flight (TOF) of the measured fast neutrons. The observed characteristic neutron capture time ( τ ) of 68.29 ± 9.48 µs is in good agreement with ∼65 µs obtained from MC simulation. These experimentally measured results will be useful for discriminating the correlated and uncorrelated background events from the true IBD events in reactor ON and OFF conditions inside the reactor hall.

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Section: Ismran Detector Responsementioning

confidence: 82%

Evaluation of the response of plastic scintillator bars and measurement of neutron capture time in non-reactor environment for the ISMRAN experiment

Dey,

Netrakanti,

Mishra

et al. 2022

Preprint

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“…This also results in the processing of more muon tracks in fixed time to achieve an improved reconstructed image. In this work, a scintillator based experimental setup is considered [3]. PoCA is a fast but purely geometrical algorithm and has very few branching steps.…”

Section: Introductionmentioning

confidence: 99%

Vectorized PoCA algorithm for faster image reconstruction for Muon Tomography

Sehgal¹

2023

J. Inst.

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Muon Tomography is a promising technique for detecting the presence of high atomic number (Z) material, using naturally available cosmic muons. The reconstruction algorithms used in Muon Tomography need to process a considerably high number of muon tracks to reconstruct the image of the object under test. This makes the image reconstruction process computation-intensive and time-consuming. The algorithms to process the muon tracks are event-based algorithms, where all the events are independent and can be processed in any order. The traditional form of parallelism tries to distribute a small segment of work to multiple computing cores, but does not utilize the data level parallelism. The event-based algorithm can be processed on vector architecture and can provide a path to better utilize the data level parallelism. This approach provides another level of parallelism on standard computers without the need for specialized hardware. In this paper, we have tried to exploit the vector architecture provided by the current generation of CPUs to implement the vectorized version of Point of Closest Approach (PoCA) reconstruction algorithm for Muon Tomography. Results are presented using different vector instruction sets, for single-precision and double-precision calculations.

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Evaluation of the response of plastic scintillator bars and measurement of neutron capture time in non-reactor environment for the ISMRAN experiment

Dey

Netrakanti

Mishra

et al. 2022

Nuclear Instruments and Methods in Physics Research Section A:

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A new technique to enhance the position resolution of large area plastic scinitillators to reconstruct the cosmic muon tracks

Cited by 4 publications

References 36 publications

Evaluation of the response of plastic scintillator bars and measurement of neutron capture time in non-reactor environment for the ISMRAN experiment

Evaluation of the response of plastic scintillator bars and measurement of neutron capture time in non-reactor environment for the ISMRAN experiment

Vectorized PoCA algorithm for faster image reconstruction for Muon Tomography

Evaluation of the response of plastic scintillator bars and measurement of neutron capture time in non-reactor environment for the ISMRAN experiment

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