Living Review of Machine Learning for Particle Physics

Sup bois, here's my work

Notes taken in LaTeX in real time during lectures

Nomological Net for ML in Particle Physics

master project Maarten.

Improvement of s-channel single top quark reconstruction

Contribution to the Harald Fritzsch Memorial Volume edited by Gerhard Buchalla, Dieter Lüst and Zhi-Zhong Xing.

Repository for my PhD thesis.

My PhD thesis

A LaTex package for drawing Feynman diagrams with color flows

A collection of Feynman diagrams I draw using the TikZ-Feynman package of LaTeX.

Living Review of Quantum Information Science in Nuclear and Particle Physics

My PhD Thesis, multi-b SUSY searches with the ATLAS Experiment

Fiz0423 Özel Görelilik Teorisi Final Çalışması

Fiz0424 Parçacık Fiziği Final Çalışması

Git backup of the Snowmass 2021 white paper on Data and Analysis Preservation, Recasting, and Reinterpretation

A concise, cheatsheet about properties of elementary particles in the standard model.

Constructive logic resolves the hierarchy problem by removing quantum corrections without fine-tuning. This theory explains why the Higgs mass stays stable. 構成論理により補正を排除し、微調整なしで階層性問題を解決。ヒッグス質量が安定する理由を示します。

Precision searches at the intensity frontier with muons at PSI: From MEG II calibration methods to the muEDM positron tracker

This is the source code for my PhD thesis