experimental-physics

Pure python statistic tools for high energy physics.

Interactive tools for the visualization and analysis of multidimensional photoemission data

Scripts and library-in-construction to control lab instrumentation.

The Low Latency Reconfiguration System

GUI for cold-atom physics experiments.

Repository containing all the material for Advanced Physics Laboratory experiment of Rutherford Scattering

A collection of projects, assignments, and experiments from the Experimental Physics courses at the University of Antioquia (UdeA).

Python package for uncertainty calculations and error propagation.

Curso de Arduino para formação de professores, com atividades experimentais de Física desenvolvidas no contexto do Parque da Ciência Newton Freire Maia.

This repository is aimed at explaining how we find the PI number using experimental techniques.

The source code used in the B.Sc Thesis: "Experimental study of swirl flow and heat transfer in concentric cylinders with tangential inlet flow". A summary of this work's results was presented at the Proceedings of the 10th IC-SCCE, held in Athens during 6th-9th July 2022.

This repository contains the data-analysis work and the evaluation of the experiments in Python for the second mandatory physics lab course for physics students (PAP 2) I attended at Heidelberg University during the winter term 2017/2018.

Physics measurements and error calculations inspired by the Measurements.jl library.

A comprehensive ray tracing and optimization framework for designing two-lens optical systems that efficiently couple vacuum ultraviolet (VUV) light from xenon flashlamp sources into optical fibers.

This repository contains the data-analysis work and the evaluation of the experiments for the mandatory advanced physics lab course for physics students (FP) I am currently attending at Heidelberg University from summer 2018 until summer 2019 (expected). For the most parts of the evaluation of the experiments we are using Python or Wolfram Mathe…

LabToolbox is a collection of tools for the analysis and processing of experimental data in scientific research.

Machine learning-assisted optimisation of shuttlecock porosity using Gaussian Process Regression and Bayesian optimisation

Particles simulation that form a grid of boxes acting like a cloth. Applying a physical behaviour such as simulating to drag the cloth and tear it appart. The project is written in C++ with SFML

PulsePins provides a programmable timing core for dozens of digital pins, suitable for pulse sequences, triggers, multiplexing, and general lab ‘digital glue’

Modified gravity framework exploring coherence-field coupling (ξRΦ²), curvature-EM coupling (κ_R RF²), and BSM parameter space (dark photon, axion). Validated 3D solver, null-result constraints, tabletop feasibility analysis.