Pinned Repositories
clt-statistical-mechanics-HW1
2024 statistical mechanics HW1
collider-physics-final
common-posperity-simulation-comphyslab-final
Upload the version later than 5.1.0 (previous are not completed -> have been pruned)
ComputationalPhysics
ComputationalPhysicsLab
Example Codes for my Computational Physics Lab Course
DUNE-Neutrino-Oscillation
ExptHEP-docker-tf-2.13.0
The dockerfile is for the Expt HEP group in NTHU.
Git-Tutorials
Git-Tutorials GIT基本使用教學:memo:
NTHU-normal-template
QE-mls
This repo is the codes used for the neutrino/W bosons reconstruction from fully leptonic decay related to the Bell Study in the HWW* decay at the ATLAS experiment, CERN.
yygarypeng's Repositories
yygarypeng/clt-statistical-mechanics-HW1
2024 statistical mechanics HW1
yygarypeng/collider-physics-final
yygarypeng/common-posperity-simulation-comphyslab-final
Upload the version later than 5.1.0 (previous are not completed -> have been pruned)
yygarypeng/ComputationalPhysics
yygarypeng/ComputationalPhysicsLab
Example Codes for my Computational Physics Lab Course
yygarypeng/DUNE-Neutrino-Oscillation
yygarypeng/ExptHEP-docker-tf-2.13.0
The dockerfile is for the Expt HEP group in NTHU.
yygarypeng/Git-Tutorials
Git-Tutorials GIT基本使用教學:memo:
yygarypeng/NTHU-normal-template
yygarypeng/QE-mls
This repo is the codes used for the neutrino/W bosons reconstruction from fully leptonic decay related to the Bell Study in the HWW* decay at the ATLAS experiment, CERN.
yygarypeng/n-bodies-comphyslab-HW3
yygarypeng/NTHU-ATLAS-poster-template
yygarypeng/NTHU-thesis-template
yygarypeng/nthu-thesis-template-mod
Moded LaTeX thesis template in NTHU 國立清華大學碩博士論文 XeLaTeX 模板😈魔改版
yygarypeng/oscillations-comphyslab-HW2
NTHU 111 Computational Physics Lab-Homework 2
yygarypeng/pi-calculation-comphyslab-HW1
yygarypeng/plasma-electrodynamics-HW7
2023Electrodynamics-HW4-plasma-physics
yygarypeng/poisson-solver-comphyslab-HW4
yygarypeng/QE-analysis
Bell Study codes
yygarypeng/ROOTanalysis
2023 NTHU Spring HEP Workshop
yygarypeng/t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis