A mobile low-cost spectrometer for measuring radioactivity and the energy of ionising radiation like alpha particles and electrons
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Updated
Jun 18, 2021 - Python
A mobile low-cost spectrometer for measuring radioactivity and the energy of ionising radiation like alpha particles and electrons
A Python package for radioactive decay modelling that supports 1252 radionuclides, decay chains, branching, and metastable states.
Custom firmware for Geiger counters/radiation meters (FS2011, Bosean FS-600, FS-1000, FS-5000, FNIRSI GC-01)
☢☢ A geiger counter application for the Flipper Zero ☢☢
IoT Geiger Counter with ESP32, OLED Display, Thingspeak Channel and MQTT
Nuclear radiation sensor with ionization chamber as a detector. Hard to make, IMHO inferior to semiconductor detectors.
solving differential equations, plotting radioactive decay and vector fields, carrying out error propagation, finding extrasolar planets, accessing cosmological simulations
Gamma-spectroscopy of (irradiated) samples in Python
Nuclear radiation sensor with photodiode as a detector. Photodiode doesn't require high voltages as GM tubes do. Smaller size makes better resolution. Side effect is electronic must be more sensitive.
🗄️ Open and comprehensive database of common gamma-ray emitting radioisotopes for gamma-spectroscopy.
an R package for ShortlivEd RAdionuclide Chronology of recent sediment cores (Bruel & Sabatier, 2020, Journal of Environmental Radioactivity)
A class library to access SARAD instruments, written in Python.
A nuclear radiation sensor with a Geiger–Müller (GM) tube as the detector. This widely used solution is cost-effective, easy to construct, and ideal for measuring ionizing radiation.
Python class for Image Processing and Gamma Ray detection using OpenCV, PIL and NumPy libraries
Irradiation robot
Calculates approximate nuclear binding energies to predict radioisotope decay mechanisms
Simulation of radioactive decay
Device for quantitative analyze energy spectra of gamma-ray sources. Allows to study what radioactive isotopes in what quantities are present in measured sample.
Second physics laboratory training at Heidelberg University with evaluation and data analysis in Python. In total 18 experiments performed and 64 plots created.
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