particle-detection

This project describes how anyone can put together an at-home demonstration of the phenomenon of quantum entanglement with a few hundred dollars in parts and some soldering. Beyond quantum entanglement, it also provides a demonstration of antimatter, E=mc^2, cosmic rays, the photoelectric effect, and more.

FreeClimber is a background-subtracting particle detection platform designed to quantify group climbing performance in a Drosophila negative geotaxis (climbing) assay

Deep learning-based particle detection tool for microscopy images

Source code to our paper "On the use of a cascaded convolutional neural network for three-dimensional flow measurements using astigmatic PTV"

A simple cosmic event detection tool that uses digital camera sensors (CMOS or CCD) to detect muons, cosmic rays, and other high-energy particle interactions.

ML pulse-shape discrimination for stilbene scintillator signals: ~40 physics features + PCA, Random Forest 99% accuracy; research paper included (RU)

This code performs the particle detection, classification (Machine Learning analysis) and structural analysis of virus imaging dataset as described in our manuscript.

A Wolfram Mathematica image processing code for particle flow images with low SNR/CNR (originally high-FPS neutron imaging).

Interactive GUI for cropping background pixels from 3D hyperspectral image cubes using threshold, spatial selection, or automatic detection methods.

This repository accompanies the publication "U-Net based particle localization in granular experiments: Accuracy limits and optimization," published in Granular Matter (2026). It contains the U-Net implementation, pretrained weights, labeled datasets, Jupyter notebooks, and instructions for reproducing the results.

solar cells for reaction experiments at ROSPHERE