Published September 7, 2023 | Version v1

First results of online compression of HEP data using Baler

Authors/Creators

  • 1. Tel Aviv University

Contributors

  • 1. University of Manchetser

Description

Within the framework of the HiDA Trilateral Data Science Exchange Program, this internship project unveils preliminary findings on online compression using Baler. It involved the examination of various datasets of different sizes from the High Energy Physics (HEP) domain to evaluate compression performance. All datasets used are subsets of the jet data recorded by the CMS experiment at the LHC in 2012, released as open data under the Creative Commons CC0 waiver (see references). The data is modified (flattened, truncated, formatted, etc.) and packaged in a way that makes it easy for others to reproduce the results. The provided files in this page include comprehensive instructions for replicating the project's results, as well as datasets and outcomes. Below, you'll find a brief overview of the project's folder structure, categorized by the dataset utilized (small dataset/example CMS data/larger CMS data), the online/offline compression method, and resource utilization, particularly regarding GPU usage.

Presentations summarizing this project's results can be found here: https://zenodo.org/record/8326707.

Project's folders:

  1. Reproduction Instructions: This folder houses all files that offer detailed guidelines for replicating the project's presented results. These files serve as a reference for accessing relevant materials.

  2. GPU with Example CMS Data.zip: This directory contains all files related to offline compression of the approximately 100MB example CMS dataset provided by Baler. GPU resources were employed in the model training process.

  3. GPU with Larger CMS Data (1).zip: In this section, you'll find files associated with the compression of a larger CMS dataset, approximately 1.4GB in size. It includes results of offline compression and a split of the dataset into a 50/50 ratio for training and testing, with results provided for various epochs.

  4. GPU with Larger CMS Data (2): This folder holds the larger dataset, divided into two halves, with the first half's array values in one file and the second half's in another.

  5. Offline/Online on Small Dataset: Here, you'll find files related to both offline and online compression of a small dataset, roughly 100KB in size, extracted from the example CMS dataset provided by Baler.

  6. Modifications of Small Dataset: This section comprises variations of the small dataset, including both normalized and un-normalized datasets.

  7. Materials: This folder includes fundamental papers and summaries to enhance your understanding of the project.

  8. HiDA: Within this directory, you'll find a printed webpage from the HiDA program.

Files

GPU with example CMS data.zip

Files (727.9 MB)

Name Size
md5:4068196b2bab9fe7b903e53937172afd
27.6 MB Preview Download
md5:0fa392d5d3bf4b7ac8015aedfed454ad
316.4 MB Preview Download
md5:92162c00c7e169067b5837b2e6f1c40f
364.8 MB Preview Download
md5:c9fcdbd99e34dfabad1ba38dea2f7d51
498.1 kB Preview Download
md5:6ad723890fecb3dc9ea79d77596da01d
236.5 kB Preview Download
md5:dddc5996378d7b5279542209a321e9e0
13.7 MB Preview Download
md5:5c1c612807265976f72d1be2313f8e94
392.7 kB Preview Download
md5:c6a700313389e93dbdbbb5147a1c8d62
3.5 MB Preview Download
md5:beaa9d472067abebc86881d08a6843e3
788.9 kB Preview Download

Additional details

Funding

European Commission
REALDARK - REAL-time discovery strategies for DARK matter and dark sector signals at the ATLAS detector with Run-3 LHC data 101002463

References