Pavani Jairam is a junior majoring in physics and minoring in computer science. She completed a 9-week research internship with the SLAC National Accelerator Laboratory. For her research project, she compared the ability of two machine learning methods, the Gaussian process (GP) and the log Gaussian Cox process (LGCP), to model the smooth background of high energy physics (HEP) data.
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This is such a cool research topic, Pavani! Physics applications are certainly very interesting.
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