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

The dataset contains all gathered data from theexperiment 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, Norway69° 40'...

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Bibliographic Details
Main Authors: Kutschera, Stefan, Slany, Wolfgang, Ratschiller, Patrick, Gursch, Sarina, Dagenborg, Håvard
Format: Other/Unknown Material
Language:English
Published: Zenodo 2023
Subjects:
Online Access:https://doi.org/10.5281/zenodo.7774330
Description
Summary:The dataset contains all gathered data from theexperiment 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, Norway69° 40' 53.117'' N 18° 58' 36.027'' Eat 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 aNon-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. The compressed folder "raw_data_incl_space_weather.7z" contains all raw data as gathered with the MRNG prototype, unprocessed, uncleaned, and unmerged. [1] https://github.com/StefanKutschera/mrng-prototype, visited on 27.03.2023 [2] https://github.com/credo-science/credo-detector-android, visited on 27.03.2023