Research and Publications

What do I work on?

I'm interested in probing the microphysics of dark matter through new experimental techniques. We're pretty sure dark matter is out there, but so far we've only been able to detect its interactions with ordinary matter through gravity. The allowed range of parameter space for dark matter spans 90 orders of magnitude. That means dark matter could be lighter than any known particle or heavier than the sun! We have good ideas of where in this huge range of possibilities dark matter could live, and the scientific community is working really hard to probe all of them. I'm interested in a class of models known as "Light Dark Matter", which are dark matter candidates less than the mass of a proton (1 GeV) but still large enough that they're particles, not waves. Dark matter in this range of masses would belong to an entire dark sector. This means there could be all sorts of different types of dark matter particles and force carriers (like a dark matter version of the photon). This means that you can look for dark matter particles in our galaxy, and you can try to make dark matter in colliders! I'm lucky enough to work on two experiments that are searching in both regimes. I work on the SENSEI experiment to look for light dark matter present in our galaxy, and I work on the FASER experiment searching for dark photons produced in high energy collisions at the Large Hadron Collider

Click here for more info on FASER
Click here for more info on SENSEI

Projects

Pythonic Analysis Framework for FASER

Analysis

Developed a fully pythonic framework for FASER analysis based on coffea, uproot, dask

Python Data Analysis Dark Sectors at Colliders

DarkMatterRates

Theory

Wrote code that uses pytorch to calculate dark matter electron scattering rates in Silicon, Xenon, and Argon. This code is also capable of taking in custom inputs for the galactic dark matter halo distribution. It can even calculate daily modulation of rates by taking inputs from simulations like DaMaSCUS or Verne.

Python Phenomenology Direct Detection of Dark Matter

SENSEI Limit

Analysis

Wrote code that calculates the statistical framework for setting exclusion curves for SENSEI.

Python Statistics Direct Detection of Dark Matter

Machine Learning For Halo Independent Studies of Dark Matter

Theory

Working on a project to take the dark matter scattering rates seen at detectors and use machine learning techniques to extrapolate the expected shape of the dark matter halo distribution.

Python Pytorch Machine Learning Direct Detection of Dark Matter

CCD R&D

Hardware

At Fermilab I spent a year in the CCD lab working on hardware projects related to SENSEI detectors. I worked to reduce low threshold backgrounds and characterize detector properties. To do this, I set up my own system took measurements at the surface and additionally took measurements with our underground detector in the MINOS cavern.

CCD Hardware Readout Electronics Vacuum Systems Direct Detection of Dark Matter