DIY Particle Detector Reference Measurements for Radiation Detection

Reference measurement data released alongside analysis code from the DIY_particle_detector GitHub repository and Zenodo archive. The dataset includes measurements taken with a diode-based detector design, plus two files recorded with an iPadPix sensor for comparison. Author Oliver Keller from the University of Geneva released the data in Python pickle format.

Use Cases

• Validate DIY particle detector designs based on the diode-based sensor measurements.
• Compare detector performance using the iPadPix reference measurements included in the dataset.
• Analyze radiation event data likely captured by the described hardware.
• Benchmark data analysis pipelines against the provided reference measurement data.

Strengths

• Includes specific reference files recorded with an iPadPix sensor for direct comparison.
• Data is explicitly linked to a documented open-source hardware project and its analysis code.
• File creation details are specified, including Python version and library versions (3.6.5, pandas 0.24.1, numpy 1.14.3).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Geneva

Collection Method

Experimental measurements from a DIY diode-based particle detector and an iPadPix sensor.