The Compact Muon Solenoid (CMS) is one of the large particle detectors at CERN's Large Hadron Collider. The CMS Collaboration consists of more than 4000 scientists, engineers, technicians and students from around 240 institutes and universities from more than 50 countries. You can find more information about the CMS detector on the official CMS website.
You can find usage instructions and suggestions of CMS Open Data for different scopes in:
Primary datasets: full reconstructed collision data with no other selections. The data here are referred to as "reconstructed data"; fragmented data from various sub-detectors are processed or "reconstructed" to provide coherent information about individual physics objects such as electrons or particle jets.
tracks with associated hits, calorimetric clusters with associated hits, vertices; and
information about event selection (triggers), data needed for further selection and identification criteria for the physics objects.
The file is not the final event interpretation with a simple list of particles.
It contains several instances of the same physics object (i.e. a jet reconstructed with different algorithms).
It may have double-counting (i.e. a physics object may appear as a single object of its own type, but it may also be part of a jet).
Additional knowledge is needed to define a "good" physics object.
Definition of same objects is different in each analysis.
Some datasets, such as those containing heavy-ion data, are provided in a format called RECO, which contains more information than the AOD format. This is done when the original analyses by the CMS collaboration were performed using this particular format.
Starting from Run2 (2015), datasets are provided in the MiniAOD/MiniAODSIM format, which has superseded the AOD format in physics analysis:
MiniAOD/MiniAODSIM is approximately one tenth of the size of AOD/AODSIM.
The reduction is obtained defining light-weight physics-object candidate representations, increasing transverse momentum thresholds for storing physics-object candidates, and reduced numerical precision when it is not required at the analysis level.
The open data are released under the Creative Commons CC0 waiver. Neither CMS nor CERN endorses any works, scientific or otherwise, produced using these data, even if available on, or linked from, this portal.
All datasets will have a unique DOI that you are requested to cite in any applications or publications.
Despite being processed, the high-level primary datasets remain complex and selection criteria need to be applied in order to analyse them, requiring some understanding of particle physics and detector functioning. The data cannot be viewed in simple data tables for spreadsheet-based analyses.
No further development is foreseen for either the data released or the software version needed to analyse them.
The methods have evolved since the released data were recorded.
More advanced techniques are used with recent data but the software is not compatible out-of-the-box with older data samples.
The simulated data are not a full set of simulations, but only those datasets that have been reprocessed with a software release compatible with the respective collision data.
The release of 2010 data is accompanied by a small set of simulated data.
The release of 2011 data includes some simulated data, limited to those datasets that were reprocessed with a software release compatible with the 2012 collision data.
The release of 2012 data includes a larger sample of simulated data. A part of 2012 simulated data is released with the bibliographic information content only, and these datasets will be made available online on demand.
The release of 2013 heavy-ion-related data includes simulated data corresponding to different collision types and centre-of mass energies.
The release of 2015 data includes a large collection of simulated data, reprocessed with a software release compatible with the 2015 collision data, but it may still happen that some simulated data did not make it to this reprocessing and are therefore not available in this collection.
If you are interested in joining the CMS Collaboration, please read How to join CMS.