Simulated Dataset Categories
The CERN Open Data portal classifies each simulated dataset into one category or subcategory. The scheme used here follows closely the CMS Physics Publications and ATLAS Physics Analysis Groups & Summary Plots structures.
Categories
- B Physics and Quarkonia
- Higgs Physics
- Standard Model
- Beyond Standard Model
- Standard Model
- Drell-Yan
- ElectroWeak
- Forward and Small-x QCD Physics
- Minimum Bias
- QCD
- Top physics
- Miscalleneous
- Heavy-Ion Physics
- Beyond 2 Generations
- Exotica
- Colorons, Axigluons, Diquarks
- Contact Interaction
- Dark Matter
- Excited Fermions
- Extra Dimensions
- Gravitons
- Heavy Fermions, Heavy Right-Handed Neutrinos
- Heavy Gauge Bosons
- Leptoquarks
- Resonances
- Miscalleneous
- Supersymmetry
- Physics Modelling
Description
Please find below the description of each category.
B Physics and Quarkonia
Datasets for bottom- and charm-quark production:
- Heavy-quark hadron production, decay and properties
- Quarkonia properties
Higgs Physics
Datasets related to Higgs physics including Standard Model and (N)MSSM
Standard Model Physics
Datasets for jet, vector-boson production and production of vector-bosons with associated jets:
- Drell-Yan and Z/W production (including additional jets)
- Multi vector-boson production
- Forward and small-X physics (including diffractive processes)
- Processes for top-quark production
- Inclusive and multi-jet production
Heavy-Ion Physics
Datasets for p–Pb, Pb–Pb collisions, and p–p reference set
Beyond 2 Generations
Datasets for new heavy particles, including heavy resonances like Z′ and W′, di-boson resonances, heavy partners of the top quark (with vector-like quark (VLQ) properties)
Exotica
Datasets for non-supersymmetric physics beyond the Standard Model: extra dimensions, mini black holes, dark matter, extended Higgs models, compositeness
Supersymmetry
Datasets for production of supersymmetric (SUSY) particles including scenarios for both R-parity conservation and violation. ((N)MSSM Higgs production is under Higgs Physics)
Physics Modeling
Datasets for Monte Carlo generator studies and tuning, and for studies of systematic variations in different physics processes
A word of advice: the categorisation is done automatically, so some datasets may be miscategorised.
