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Physics 299 - Intermediate Seminar

Course Name: Phys 299

Course Name: Intermediate Seminar

Credits: 1 or Cr

Spring Instructor: Angela Zalucha and Marzia Rosati

PreReq: Credit in PHYS 199

Course Description

Physics 299 is designed to provide first-year students with opportunities for the rigorous investigation of a topic in physics or astronomy through close faculty-student interaction. Upon completion of the course students will have gained experience doing supervised research in physics or astronomy. They will also have improved their scientific communication skills. Offered on a satisfactory/fail basis only.


Spring 2024 Projects

1) Optimize particle identification at Belle II experiment using Machine Leaning

  • Mentor: Chunhui Chen
  • Description:To apply machine learning techniques to improve particle identification performance at the Belle II experiment using Monte Carlo simulated data sample.
  • Preferred skills: C++ or python
  • 1 or 2 credits

2)  Belle II feasibility studies

  • Mentor: Jim Cochran
  • Description: The ultimate goal will be to perform a feasibility study for a (yet to be decided) physics analysis on Belle II. The necessary pieces to be performed in such an analysis will be tackled in individual steps throughout the semester.
  • Preferred skills: Python, ROOT
  • 1 or 2 credits

3) Nano-optical studies of 2D materials

  • Mentor: Zhe Fei
  • Description: We study the nano-optical properties and responses of a variety of novel 2D materials with the advanced near-field optical microscope.
  • Preferred skills: There is no strict requirement, but it is good to have some basic understanding of electromagnetics.
  • 2 credits

4) Simulating magnetic lattices

  • Mentor: Rebecca Flint
  • Description: We will use classical Monte Carlo to simulate a two-dimensional magnetic lattice as a function of temperature and magnetic field in order to compare to experimental data for a material, GdInO3 and see if we can reproduce the anisotropy as a function of magnetic field.   You will learn about magnetic order, different kinds of interactions and the classical Monte Carlo technique, which is a great entry into computational physics techniques.
  • Preferred skills: Programming in python
  • 1 or 2 credits

5) A 10,000-year Voyager

  • Mentor: John Hauptman
  • Description: Investigate possibilities for a voyager spacecraft that will move out from the Solar System and still be active for 10,000 years.
  • Preferred skills: Willing to think outside the box
  • 2 credits

6) Measuring Particle Production  with the sPHENIX detector

  • Mentor: Marzia Rosati
  • Description: The experiment sPHENIX is being installed at Brookhaven National Laboratory and will be collecting p+p collisions data in Spring 2024.  Using existing simulation software we expect students to make predictions on the feasibility to measure some of the produced particles containing strange or heavy quarks.
  • Preferred skills: some programming experience or willingness to learn
  • 1 or 2 credits

7) Studies in Particle Astrophysics

  • Mentor: Amanda Weinstein
  • Description: Depending on student interest, the project can either focus on neutrino physics or gamma-ray astronomy. The most likely projects at this time involve: (1) Analyzing calibration and neutrino data from novel photosensors (2) gamma-ray and optical polarimetry studies of a supernova remnant.
  • Preferred skills: Background in either Python or C++ programming.
  • 1 or 2 credits

8) LAPPD analysis for ANNIE

  • Mentor: Matt Wetstein
  • Description: Data analysis from the fast photodetector experiment of the ANNIE neutrino experiment.
  • Preferred skills: Some background in programming/linux encouraged but not required
  • 1 or 2 credits