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Simulated jet samples for quark flavour identification studies

LHCb collaboration

Cite as: LHCb collaboration (2020). Simulated jet samples for quark flavour identification studies. CERN Open Data Portal. DOI:10.7483/OPENDATA.LHCB.N75T.TJPE

Dataset Derived Datascience LHCb CERN-LHC


Description

The purpose of these simulation samples is to let computing experts test innovative machine learning algorithms in the LHCb environment.

In particular quark identification tasks such as b versus b-bar or b versus c can be studied.

Quarks are produced in proton-proton collisions but cannot exist in the isolated state, and they immediately fragmentate in spray of particles called hadronic jets.

For this reason the quark properties have to be determined from the jet detected by the LHCb experiment.

Different simulation samples where a pair of jets generated by b b-bar, c c-bar or light flavour (u, d, s or gluons) are detected by LHCb are available. Samples of Z bosons decaying to two b-quarks are also available.

The samples differ also for the transverse momentum exchanged in the proton-proton collision, as it is specified in the file name ([10,15] GeV/c, [15,20] GeV/c, [20,50] GeV/c and > 50 GeV/c).

The samples can be opened with the ROOT software and they contain tuples with measured observables related to the jets.

Labels Jet0_ and Jet1_ refer to the two different jets in the event.

Labels Jet0_Daughters_ and Jet1_Daughters_ are associated to arrays with observables related to particles that form the jets.

In particular observables like the measured momentum, pseudorapidity, invariant mass and the output of the particle identification system are stored.

Dataset characteristics

734561 events. 26 files. 2.7 GiB in total.

How can you use these data?

The data files can be accessed using ROOT.

https://root.cern.ch/


      

Files and indexes

Disclaimer

These open data are released under the Creative Commons Zero v1.0 Universal license.

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Neither the experiment(s) ( LHCb ) 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.

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