Datasets for a Dark Matter Search with the ATLAS Experiment
ATLAS collaboration
Cite as: ATLAS collaboration (2020). Datasets for a Dark Matter Search with the ATLAS Experiment. CERN Open Data Portal. DOI:10.7483/OPENDATA.ATLAS.DHEH.6TUX
Data recorded in 2020. Published in 2020.Dataset Simulated Collision Exotica Dark Matter Education ATLAS 13TeV pp CERN-LHC
Description
Datasets for a Dark Matter Search with Neural Networks at ATLAS from 2020
Dataset characteristics
28433 events. 15 files. 4.1 MiB in total.How were these data generated?
These data were collected during the 2015 and 2016 running of the ATLAS experiment and correspond to 10 inverse femtobarns of data. They were reprocessed into light-weight csv files for use in an educational notebook describing machine learning in the search for Dark Matter. The csv includes a limited set of variables specific to this purpose.
How can you use these data?
The data and MC simulation provided by the ATLAS experiment are released under a CC0 license; citation of the data and acknowledgement of the collaboration is requested. This format can be used in a simple python notebook for a dark matter search using machine learning.
Extensive instructions for interacting with the data, as well as documentation of the dataset naming conventions and their contents (particularly for MC simulated data), are provided in the notebook linked below.
Files and indexes
Disclaimer
These open data are released under the Creative Commons Zero v1.0 Universal license.
Neither the experiment(s) ( ATLAS ) nor CERN endorse any works, scientific or otherwise, produced using these data.
This release has a unique DOI that you are requested to cite in any applications or publications.
