17–24 Jul 2024
Prague
Europe/Prague timezone

Parallelizing particle track simulations in gas based charged particle detectors

20 Jul 2024, 11:53
17m
Club A

Club A

Parallel session talk 14. Computing, AI and Data Handling Computing and Data handling

Speaker

Shivali Malhotra (Texas A & M University (US))

Description

Micropattern Gaseous Detectors (MPGDs) rely heavily on the simulation of the particle passage as conducting these studies allows scientists to cut huge costs and development for prototyping. Even though Garfield++ is a very important part of the simulation of MPGDs, it is very comprehensively intensive particularly when large detector volumes and high gas gains are required. In order to mimic the interaction of relativistic particles through gaseous detectors, High Energy Electro-Dynamic (HEED) photo absorption ionisation (PAI) model was added in the parallel Garfield toolkit (pGarfield). Thus, the whole track of an ionising particle through a detector was simulated with the help of the new pGarfield/HEED implementation. The results will illustrate how parallelization reduced the amount of time and CPU power required for computation of the full simulation. Additionally, a number of studies were conducted for further optimisation and the findings of those studies will also be reported.

Alternate track 18. Sustainability (accelerators, detectors, computing)
I read the instructions above Yes

Authors

Shivali Malhotra (Texas A & M University (US)) Othmane Bouhali (Texas A & M University (US))

Presentation materials