Dataset for Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator ...

• Main Authors: Kutschera, Stefan, Slany, Wolfgang, Ratschiller, Patrick, Gursch, Sarina, Dagenborg, Håvard
• Format: Dataset
• Language: English
• Published: Zenodo 2023
• Subjects: Ultra High Energy Cosmic Ray; Space Weather; Muon; Random Bit Generator; Muon Random Number Generator; Arctic; Norway; Tromsø
• Online Access: https://dx.doi.org/10.5281/zenodo.7774330; https://zenodo.org/record/7774330

The dataset contains all gathered data from the experiment from Wednesday, March 16, 2022 11:58:41.929 AM UTC+0 (1647431921929) until Sunday, April 3, 2022 1:08:35.353 PM UTC+0 (1648991315353). The experiment was executed during physical presence within the Arctic Circle in Tromsø, Norway 69° 40' 53.117'' N 18° 58' 36.027'' E at 35m elevation above sea level. The dataset was gathered with a prototype [1] based on the CREDO android application [2]. The main research is to use Ultra High Energy Cosmic Rays (UHECR) as an entropy source for a Random Bit Generator (RBG). The associated publication will probably have the title "Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator" In order to reproduce the results the SQLite3 database "mrng_arctic_experiment_2022.db" is needed. To get the visual representations of the detections use "image_decoding_and_codesnippets.py" to generate the cleaned (414 detections / ~15MB) or the uncleaned (5567 detections / ~195 MB) dataset. ... : {"references": ["https://github.com/StefanKutschera/mrng-prototype; visited on 27.March 2023", "https://github.com/credo-science/credo-detector-android; visited on 27.March 2023", "Homo la, P. et al. (2020). Cosmic-Ray Extremely Distributed Observatory doi:10.3390/sym12111835"]} ...