Papers

Peer-reviewed
Feb, 2020

Monte Carlo radiation transport modelling of the current-biased kinetic inductance detector

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
  • Malins, Alex
  • ,
  • Machida, Masahiko
  • ,
  • The Dang Vu
  • ,
  • Aizawa, Kazuya
  • ,
  • Ishida, Takekazu

Volume
953
Number
Language
English
Publishing type
Research paper (scientific journal)
DOI
10.1016/j.nima.2019.163130
Publisher
ELSEVIER

Radiation transport simulations were used to analyse neutron imaging with the current-biased kinetic inductance detector (CB-KID). The PHITS Monte Carlo code was applied for simulating neutron, He-4, Li-7, photon and electron transport, B-10(n, alpha)Li-7 reactions, and energy deposition by particles within CB-KID. Slight blurring in simulated CB-KID images originated from He-4 and Li-7 ions spreading out in random directions from the B-10 conversion layer in the detector prior to causing signals in the X and Y superconducting Nb nanowire meander lines. 478 keV prompt gamma rays emitted by Li-7 nuclei from neutron-B-10 reactions had negligible contribution to the simulated CB-KID images. Simulated neutron images of B-10 dot arrays indicate that sub 10 mu m resolution imaging should be feasible with the current CB-KID design. The effect of the geometrical structure of CB-KID on the intrinsic detection efficiency was calculated from the simulations. An analytical equation was then developed to approximate this contribution to the detection efficiency. Detection efficiencies calculated in this study are upper bounds for the reality as the effects of detector temperature, the bias current, signal processing and dead-time losses were not taken into account. The modelling strategies employed in this study could be used to evaluate modifications to the CB-KID design prior to actual fabrication and testing, conveying a time and cost saving.

Link information
DOI
https://doi.org/10.1016/j.nima.2019.163130
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000506419900057&DestApp=WOS_CPL
ID information
  • DOI : 10.1016/j.nima.2019.163130
  • ISSN : 0168-9002
  • eISSN : 1872-9576
  • Web of Science ID : WOS:000506419900057

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