sheride Goto Github PK
Name: Elijah Sheridan
Type: User
Bio: String theory PhD student at Cornell University
Elijah Sheridan's Projects
axion_pheno
Scripts, data, plots, and writing for high energy physics phenomenology project studying MeV-mass axions as dark matter candidates
bcml4pheno
Library for conducting, evaluating, and visualizing binary classification machine learning models for physics phenomenology.
btag-gbdt
Using gradient boosted decision trees to begin investigating the improvement of high pt b tagging at CMS
cmssw
CMS Offline Software
equation_learner
EQL Function Learning Network
geometry
Notes on geometry and related notions motivated by studies in particle physics and string theory
latex_templates
LaTeX templates I find useful
manim-st-axions
PHYS 6510 Module 3 (skill): learning Manim and using it to animate concepts in axionic string theory
muon_lifetime
N-17 in 6510 for Module 2
nonlin_osc
PHYS 6510 C-7 Nonlinear Oscillator
sheride.github.io
Personal Website
survey-family-unification
Code associated with the paper "A Survey of Family Unification Models with Bifundamental Matter"
ttbarzp-ml
Machine learning with p p > t tbar Z' event data
ttbatzp-analysis
zipf_paper
Source code and text for PSY-PC 3130 final paper on Zipf's law
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