The SuperCDMS SNOLAB is the first low-mass dark matter detector in the cryogenics system at SLAC. It is designed to be sensitive to detect dark matter down to 300 MeV in mass and resolve individual electrons-hole pairs from low energy scattering events in high purity Ge and Si crystals. The purpose is to simulate electrostatic fields within the detector medium and run detailed particle physics simulations to attempt to match simulation to observed detector response for the first time with detectors of this size using the GEANT4 simulation package, and SuperCDMS solid-state simulations. The simulation code is written in C++, my objective was to modify the probability of the electrons inter-valley scattering in the crystal. The previous function’s input was an electric field voltage the problem with this method was that it did not provide any underlining physics of the electron within the crystal. However, we added a physical model for the inter-valley scattering that instead intakes the energy of the electron and produces the probability of a particular electron’s propagation within the crystal. The results are still in progress and will be discussed in the poster. In conclusion, we hope that this new method will produce the same graphs as the previous method and in addition provides the underlying physics of the electron inside the crystal.


Richard Partridge and Noah Kurinsky

Lab site

SLAC National Accelerator Laboratory (SLAC)

Funding Acknowledgement

This material is based upon work supported by the National Science Foundation through the Robert Noyce Teacher Scholarship Program under Grant # 1340110. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. The research was also made possible by the California State University STEM Teacher and Researcher Program, in partnership with Chevron (www.chevron.com), the National Marine Sanctuary Foundation (www.marinesanctuary.org) and SLAC National Accelerator Laboratory.



URL: http://digitalcommons.calpoly.edu/star/464


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