TrackML dataset

doi:doi:10.57702/proza1an

TrackML dataset

The TrackML dataset is a simulated set of proton-proton collision events originally developed for the TrackML Particle Tracking Challenge. TrackML events are generated with 200 pileup interactions on average, simulating the high-pileup conditions expected at the HL-LHC.

BibTex:

@dataset{Gage_DeZoort_and_Savannah_Thais_and_Javier_Duarte_and_Vesal_Razavimaleki_and_Markus_Atkinson_and_Isobel_Ojalvo_and_Mark_Neubauer_and_Peter_Elmer_2025,
    abstract = {The TrackML dataset is a simulated set of proton-proton collision events originally developed for the TrackML Particle Tracking Challenge. TrackML events are generated with 200 pileup interactions on average, simulating the high-pileup conditions expected at the HL-LHC.},
    author = {Gage DeZoort and Savannah Thais and Javier Duarte and Vesal Razavimaleki and Markus Atkinson and Isobel Ojalvo and Mark Neubauer and Peter Elmer},
    doi = {10.57702/proza1an},
    institution = {No Organization},
    keyword = {'HL-LHC', 'high-energy physics', 'high-pileup conditions', 'particle tracking', 'pileup interactions', 'proton-proton collision', 'track reconstruction'},
    month = {jan},
    publisher = {TIB},
    title = {TrackML dataset},
    url = {https://service.tib.eu/ldmservice/dataset/trackml-dataset},
    year = {2025}
}