LPC Distinguished Researcher


Martin Kwok


Fermi National Accelerator Laboratory

What I will be working on:

  • Long-lived particle searches using Muon Detector Shower(MDS):
    Muon Detector Shower (MDS) is a novel signature for LLP searches, which is formed by clustering large number of detector hits in the muon system. Being the outermost sub-system in CMS, MDS is very suitable to search for potential new LLPs with longer lifetimes. When LLPs decay within CMS's muon system, their decay products can interact with the steel between muon chambers, and initiate a particle shower. I will lead multiple search efforts in the LPC group, both in LHC Run 2 and Run 3 data.
  • New triggers using MDS signature:
    I led the development of a new trigger in CMS Run 3, which targets the MDS signature. Baseline trigger paths have been deployed for 2022 and 2023 data taking. We plan to extend the current set of MDS triggers to cross-trigger signatures, in order to maximize the discovery potential of LHC Run 3 data. Since there are very few SM processes that can create MDS, while LLP with long lifetime easily can, this makes MDS the ideal object to trigger on.
  • Migrating GPU algorithms from CUDA to Alpaka:
    CMS has pioneered the use of a portable GPU programming model, called Alpaka, among High Energy Experiments in Run 3. GPU algorithms written in Alpaka can be compiled for and run efficiently in both CPU and various GPU backends. This capability is an essential for CMS to utilize different GPU resources efficiently for future computing needs. I will migrate the current HCAL local reconstruction algorithm, from CUDA to using Alpaka.

My role in CMS past and present:

  • 2016-2018 HCAL DAQ on-call expert, online software developer
  • 2019-2020 LHC Physics Center (LPC) graduate scholar
  • 2023 US-CMS Mentorship program mentor