CMS 2011A Open Data | Jet Primary Dataset | pT > 375 GeV | MOD HDF5 Format
Description
A dataset of 1,785,625 jets from the Jet Primary Dataset of the CMS 2011A Open Data reprocessed into the MOD HDF5 format. Jets are selected from the hardest two anti-kT R=0.5 jets in events passing the Jet300 High Level Trigger and are required to have \(p_T^\text{jet}>375\) GeV, where \(p_T^\text{jet}\) includes a jet energy correction factor. Particle Flow Candidates (PFCs) for each jet are provided and include information about the PFC kinematics, PDG ID, and vertex. Additionally, jets have metadata describing their kinematics and provenance in the original CMS AOD files.
For additional details about the dataset, please see the accompanying paper, Exploring the Space of Jets with CMS Open Data. There, jets were further restricted to have \(|\eta^\text{jet}|<1.9\) to ensure tracking coverage and have "medium" quality to reject fake jets.
The supported method for downloading, reading, and using this dataset is through the EnergyFlow Python package, which has additional documentation about how to read and use this and related datasets. Should any problems be encountered, please submit an issue on GitHub.
There are corresponding datasets of simulated jets organized by hard parton \(\hat p_T\) also available on Zenodo:
Files
Files
(2.0 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:f1d2d4013e1e0026b4f8cc84b9d5f944
|
111.2 MB | Download |
|
md5:7f6e5ab36cb7082ab10efff911509e46
|
110.8 MB | Download |
|
md5:a3b2c2e1855c6c8106e6c6c0a045ce53
|
111.3 MB | Download |
|
md5:a37a4ede9b52cf59ca2e52aad289e563
|
111.7 MB | Download |
|
md5:d33c8158f0275452ea691c466b40a460
|
111.3 MB | Download |
|
md5:973b387a7e7836785f82951c131fd3d9
|
111.2 MB | Download |
|
md5:0bd33b317eab2e9843eeef7e3f6dc75a
|
111.0 MB | Download |
|
md5:062b1d818ad07abbfd076d25394b27e8
|
111.2 MB | Download |
|
md5:7a31e4bf0b5e657ada9ab252db6e2fd9
|
95.6 MB | Download |
|
md5:a2dd1e24aa14c43a6096e4f4b974216b
|
111.6 MB | Download |
|
md5:640608aacabc7a5e1bf6624db597663d
|
111.4 MB | Download |
|
md5:b209d8aba5ce1fac0b32f5b165a69556
|
111.0 MB | Download |
|
md5:ce77402992251008e42aafbce45bf07e
|
110.5 MB | Download |
|
md5:b154eac9d95c53e69f01fe9a5524973f
|
111.4 MB | Download |
|
md5:9ab175cc177323878805fbfbfcaeef01
|
110.8 MB | Download |
|
md5:54f4c707fb5970875e60c4f5ff26fa47
|
111.4 MB | Download |
|
md5:2daabc0705fda69c02a39b1f76e831d0
|
110.8 MB | Download |
|
md5:dbb40698729a224c8246bd9a7334f338
|
110.4 MB | Download |
Additional details
Related works
- Is supplement to
- arXiv:1908.08542 (arXiv)
References
- P. T. Komiske, E. M. Metodiev, EnergyFlow, https://energyflow.network.