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  • Cornell University
  • Ithaca, New York
  • 08:24 (UTC -04:00)
  • LinkedIn in/gavinniendorf

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@iris-hep @SegmentLinking

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GNiendorf/README.md

Current Projects:

  • Line Segment Tracking (LST): LST is a highly parallelizable algorithm written in C++ built to reconstruct tracks from particle collisions in the CMS detector at CERN. It aims to replace the current Kalman Filter-based algorithms with a new GPU-based approach to handle the increased volume of data expected from the High Luminosity Large Hadron Collider (HL-LHC).

Past Projects:

  • TracePy: TracePy is a sequential ray tracing package that I wrote in Python 3 for designing optical systems in the geometric optics regime. It features lens optimization from Scipy. I also developed a parallelizable version of TracePy written in C++ that is capable of running on GPU's.
  • Light Dark Matter eXperiment (LDMX): LDMX is a proposed particle physics experiment led by a group at Stanford designed to search for low-mass dark matter. I developed the experiment's background rejection model with XGBoost while as an undergrad at UC Santa Barbara under Joe Incandela.

Pinned Loading

  1. tracepy tracepy Public

    Ray Tracing and Optical Design in Python

    Python 61 14

  2. snake snake Public

    OpenAI's PPO baseline applied to the classic game of Snake

    Python 9 1

  3. Tracepy-Fast Tracepy-Fast Public

    C++ / Alpaka version of TracePy

    C++ 1 1

  4. automated-cloud-chamber-tracking automated-cloud-chamber-tracking Public

    A machine learning script to track alpha particles in the Pasco cloud chamber

    Python 3