Polynomial data compression for large-scale physics experiments
Addresses the data storage and transmission bottleneck for large-scale physics experiments like CTA, though the gains are incremental.
This work presents a lossless compression algorithm for physics data from Astronomy, Astrophysics, and Particle Physics experiments, achieving fast compression and reasonable efficiency. Applied as a pre-compressor, it accelerates LZMA while maintaining similar performance.
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.