Published in arXiv (pre-print), 2024
This paper is on how to perform indirect dark matter searches without presuming specifics on the dark matter decay or annihilation final states.
Published in JCAP, 2024
This paper is about a Bayesian analysis package to analyse gamma ray event data to perform inference on dark matter model parameters.
Published in Phys.Sci.Forum, 2023
In this work I helped develop an initial framework to construct lightweight Convolutional Neural Networks to be loaded onto FPGA boards in the search for BSM signatures in COMET Phase-I data.