3 Result(s)
Search for Magnetic Monopoles and other Exotics at the Large Hadron Collider and Beyond
Student can get involved in the following aspects of the project: 1. Development of novel radiation detectors optimized for the magnetic monopole searches. 2. Monte Carlo simulation and data analysis to support the current and planned searches for magnetic monopoles and other particles beyond the Standard Model of physics....
Preferred Majors
Aerospace Engineer & Mechanics | Applied Physics | Computer Science | Physics | Aerospace Engineering | Computer Science | Electrical EngineeringKeywords
machine learning | particle detectors | elementary particles | astrophysics | monte carlo simulationFaculty
Igor OstrovskiyAnalysis of physics data using deep learning methods
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 Python, experience with Linux, and familiarity with deep learning methods and software (PyTorch) are strongly preferred. Access to a GPU computing system will be provided....
Preferred Majors
Computer Science | Physics | Applied Mathematics | MathematicsKeywords
numerical analysis | neutrino physics | physics | particle physicsFaculty
Igor OstrovskiyDesigning a low noise amplifier for detectors of elementaty particles using electronic circuit simulation techniques
Use electronics circuit simulation software to design a dedicated low noise amplifier for novel detectors of elementary particles. Requires familiarity with relevant hardware (e.g., transimpedance amplifier) and software (e.g., LTspice)...