Faculty and Undergraduate Student Research Database

Student can get involved in the following aspects of the project: 1. Development of novel radiation detectors optimized for the magnetic monopole searches. The detectors are to be deployed at the Large Hadron Collider, CERN, and in space using CubeSat satellites. Experience with electronics (charge-sensitive amplifiers, impedance matching) and/or micro-fabrication techniques (physical vapor deposition, photolithography) is a plus. 2. Simulation of the galactic and solar magnetic fields to study propagation and detection of cosmological and astrophysical sources of magnetic monopoles....

Students can work on the following projects: 1. Novel approaches to simulation of nuclear track detector data for the MoEDAL experiment at the Large Hadron Collider using Generative Adversarial Networks 2. Position reconstruction of gamma and beta decays in the EXO-200 neutrinoless double-beta decay experiment using Convolutional Neural Networks Fluency in programming languages (Python and/or C, Linux OS) are required. Familiarity with deep learning technique and relevant software (PyTorch, Keras) are preferred. Access to GPU computing system will be provided...

Use electronics circuit simulation software to design a dedicated low noise amplifier for novel detectors of elementary particles. Requires familiarity with relevant software (e.g., LTspice)...

Help is needed with the following aspects: 1. Restructuring and optimization of GitHub-hosted software repositories (read: beautification of some ugly code developed by physicists who don't know how to code properly 2. Administration of the two GPU computing systems in the Professor's lab (read: making sure the two Ubuntu Linux boxes stay up, have needed software installed and maintained) Skills: Linux, C, Python...