Becquerel is a Python package for analyzing nuclear spectroscopic measurements, offering tools to read/write spectrum files, fit spectral features, perform detector calibrations, and interpret results. It relies on numpy, scipy, matplotlib, and pandas for data analysis and visualization. The package is designed for both educational and research use, supporting a wide range of users from undergraduates to advanced researchers.
- Developed by Lawrence Berkeley National Laboratory
- Supports spectrum file formats like N42, CHN, and CSV
- Includes tools for radiation spectrum plotting and nuclear data access
- Developed by Lawrence Berkeley National Laboratory
- Supports spectrum file formats like N42, CHN, and CSV
- Includes tools for radiation spectrum plotting and nuclear data access
This article explores the concept of wave-particle duality through experiments conducted by Huygens Optics using gamma rays. Utilizing a Radiacode 110 detector and an americium source from a smoke detector, the experiments tested the inverse-square law, temporal correlations between radiation detections, and Compton scattering. While the temporal correlation study showed no correlation in the source itself, it did reveal a strong correlation in cosmic ray-induced background radiation. Most notably, the demonstration of Compton scattering—where the energy of emitted radiation shifts based on the angle of incidence against graphite—provided strong evidence that quantization is an intrinsic property of the electromagnetic field rather than just an interaction with matter.
