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Abstract

An ever-increasing demand for high-performance silicon sensors requires complex sensor designs that are challenging to simulate and model. The combination of electrostatic finite element simulations with a transient Monte Carlo approach provides simultaneous access to precise sensor modelling and high statistics. The high simulation statistics enable the inclusion of Landau fluctuations and production of secondary particles, which offers a realistic simulation scenario. The transient simulation approach is an important tool to achieve an accurate time-resolved description of the sensor, which is crucial in the face of novel detector prototypes with increasingly precise timing capabilities. The simulated time resolution as a function of operating parameters as well as the full transient pulse can be monitored and assessed, which offers a new perspective on the optimisation and characterisation of silicon sensors. In this paper, a combination of electrostatic finite-element simulations using 3D TCAD and transient Monte Carlo simulations with the Allpix Squared framework are presented for a monolithic CMOS pixel sensor with a small collection diode, that is characterised by a highly inhomogeneous, complex electric field. The results are compared to transient 3D TCAD simulations that offer a precise simulation of the transient behaviour but long computation times. Additionally, the simulations are benchmarked against test-beam data and good agreement is found for the performance parameters over a wide range of different operation conditions.

Details

1009240
Identifier / keyword
Title
Transient Monte Carlo Simulations for the Optimisation and Characterisation of Monolithic Silicon Sensors
Publication title
arXiv.org; Ithaca
Publication year
2022
Publication date
Feb 9, 2022
Section
High Energy Physics - Experiment; Physics (Other)
Publisher
Cornell University Library, arXiv.org
Source
arXiv.org
Place of publication
Ithaca
Country of publication
United States
University/institution
Cornell University Library arXiv.org
e-ISSN
2331-8422
Source type
Working Paper
Language of publication
English
Document type
Working Paper
Publication history
 
 
Online publication date
2022-04-06
Milestone dates
2022-02-07 (Submission v1); 2022-02-09 (Submission v2)
Publication history
 
 
   First posting date
06 Apr 2022
ProQuest document ID
2626525987
Document URL
https://www.proquest.com/working-papers/transient-monte-carlo-simulations-optimisation/docview/2626525987/se-2?accountid=208611
Full text outside of ProQuest
Copyright
© 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2022-04-07
Database
ProQuest One Academic