The new generation research experiments will introduce huge data surge to a continuously increasing data production by current experiments. This data surge necessitates efficient compression techniques. These compression techniques must guarantee an optimum tradeoff between compression rate and the corresponding compression /decompression speed ratio without affecting the data integrity. This work presents a lossless compression algorithm to compress physics data generated by Astronomy, Astrophysics and Particle Physics experiments. The developed algorithms have been tuned and tested on a real use case~: the next generation ground-based high-energy gamma ray observatory, Cherenkov Telescope Array (CTA), requiring important compression performance. Stand-alone, the proposed compression method is very fast and reasonably efficient. Alternatively, applied as pre-compression algorithm, it can accelerate common methods like LZMA, keeping close performance.
@article{arxiv.1805.01844,
title = {Polynomial data compression for large-scale physics experiments},
author = {Pierre Aubert and Thomas Vuillaume and Gilles Maurin and Jean Jacquemier and Giovanni Lamanna and Nahid Emad},
journal= {arXiv preprint arXiv:1805.01844},
year = {2018}
}