The Machine Learning Landscape of Top Taggers
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• 1902.09914 • Published
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142.818451 | -80.38826 | 115.831711 | 22.756336 | 96.153008 | -54.599506 | 77.578491 | 15.680322 | 88.052628 | -49.205051 | 71.661293 | 14.028115 | 64.924271 | -36.714336 | 52.685886 | 9.561167 | 44.206936 | -24.793961 | 36.21954 | 5.259058 | 36.318935 | -20.555099 | 29.430317 | 5.514476 | 15.176801 | -8.422284 | 12.398814 | 2.381136 | 12.057164 | -7.622645 | 8.830197 | 3.049281 | 10.43674 | -5.927699 | 8.416388 | 1.718236 | 9.770679 | -5.616772 | 7.787781 | 1.807899 | 9.150454 | -5.194826 | 7.356155 | 1.622211 | 8.531725 | -4.796777 | 6.919095 | 1.381081 | 4.969924 | -2.817884 | 3.965814 | 1.015871 | 3.965801 | -2.280579 | 3.120772 | 0.887313 | 3.754145 | -2.158863 | 2.954215 | 0.839957 | 3.818691 | -2.761065 | 2.267367 | 1.348318 | 2.546204 | -1.456844 | 2.079434 | -0.191615 | 1.77724 | -1.570574 | 0.830558 | -0.045319 | 1.579263 | -1.000073 | 1.222259 | 0.003159 | 1.404651 | -0.918881 | 1.060209 | -0.068251 | 1.291245 | -1.189431 | 0.469597 | 0.179009 | 0.799452 | -0.465305 | 0.64897 | 0.038109 | 0.747481 | -0.622174 | 0.412005 | -0.043357 | 0.925002 | -0.138846 | 0.702483 | 0.585549 | 0.70356 | -0.33319 | 0.595198 | -0.172396 | 0.688852 | 0.009042 | 0.665935 | 0.175972 | 0.514109 | -0.408288 | 0.267606 | 0.161235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
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| -9.104744 | 9.584197 | 3.766132 | 0.330326 | -8.807041 | 8.957395 | 2.040696 | -3.031371 | -8.178097 | 8.563987 | 3.360332 | -0.588409 | -7.855177 | 7.16348 | 3.191278 | 0.574833 | -6.387547 | 6.621642 | 2.385726 | -2.038603 | -5.830828 | 8.210331 | 1.851515 | -2.508849 | -7.595203 | 5.663331 | 2.550156 | -1.730379 | -4.751401 | 6.897717 | 1.473788 | -1.803257 | -6.492666 | 4.047495 | 2.016325 | -1.11829 | -3.326571 | 5.114667 | 1.497555 | -1.708779 | -4.582273 | 5.598739 | 1.766996 | -1.196991 | -5.175984 | 3.72224 | 2.080623 | -0.41486 | -3.058426 | 5.364723 | 2.037613 | 0.26039 | -4.955864 | 4.083521 | 1.9078 | -0.625632 | -3.555845 | 3.674901 | 1.675 | -0.563523 | -3.222067 | 3.910462 | 1.509197 | -0.883593 | -3.497614 | 3.060424 | 1.485423 | -0.913935 | -2.514843 | 2.822549 | 1.453781 | -0.881178 | -2.253182 | 2.388211 | 1.548481 | -0.427065 | -1.767308 | 3.565434 | 1.546099 | 0.248505 | -3.203145 | 3.870975 | 0.949243 | -0.959751 | -3.627984 | 4.559157 | 0.918704 | -0.971729 | -4.358628 | 2.111787 | 1.060233 | -0.540763 | -1.744455 | 3.066826 | 0.838898 | -0.767551 | -2.848252 | 2.075195 | 0.499431 | -0.769545 | -1.861398 | 2.36814 | 0.850223 | 0.319858 | -2.186984 | 1.360888 | 0.639816 | -0.626421 | -1.024816 | 1.616407 | 0.550387 | -0.693141 | -1.352553 | 1.655319 | 0.691661 | -0.435743 | -1.43938 | 2.711628 | 0.580904 | -0.500864 | -2.600887 | 1.156765 | 0.657113 | -0.243689 | -0.920284 | 1.890949 | 0.648649 | -0.154878 | -1.76945 | 1.999509 | 0.473355 | -0.336996 | -1.913219 | 1.58577 | 0.491329 | -0.195312 | -1.495031 | 2.172688 | 0.478036 | -0.18493 | -2.111363 | 0.927834 | 0.450554 | -0.230942 | -0.777524 | 1.336334 | 0.411143 | -0.107624 | -1.266952 | 0.866213 | 0.375749 | 0.17684 | -0.760175 | 1.293133 | 0.387588 | 0.100796 | -1.229556 | 1.348552 | 0.271743 | -0.287427 | -1.289237 | 1.088278 | 0.366642 | 0.060808 | -1.022852 | 0.693241 | 0.333403 | -0.048542 | -0.605862 | 0.886213 | 0.274823 | 0.036716 | -0.841723 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 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Dataset Card for Top Quark Tagging
Dataset Summary
Top Quark Tagging is a dataset of Monte Carlo simulated events produced by proton-proton collisions at the Large Hadron Collider. The top-quark signal and mixed quark-gluon background jets are produced with Pythia8 with its default tune for a center-of-mass energy of 14 TeV. Multiple interactions and pile-up are ignored. The leading 200 jet constituent four-momenta are stored, with zero-padding applied to jets with fewer than 200 constituents.
Supported Tasks and Leaderboards
tabular-classification: The dataset can be used to train a model for tabular binary classification, which consists in predicting whether an event is produced from a top signal or quark-gluon background. Success on this task is typically measured by achieving a high accuracy and AUC score.
Dataset Structure
Data Instances
Each instance in the dataset consists of the four-momenta of the leading 200 jet constituents, sorted by . For jets with fewer than 200 constituents, zero-padding is applied. The four-momenta of the top-quark are also provided, along with a label in the is_signal_new column to indicate whether the event stems from a top-quark (1) or QCD background (0). An example instance looks as follows:
{'E_0': 474.0711364746094,
'PX_0': -250.34703063964844,
'PY_0': -223.65196228027344,
'PZ_0': -334.73809814453125,
...
'E_199': 0.0,
'PX_199': 0.0,
'PY_199': 0.0,
'PZ_199': 0.0,
'truthE': 0.0,
'truthPX': 0.0,
'truthPY': 0.0,
'truthPZ': 0.0,
'ttv': 0,
'is_signal_new': 0}
Data Fields
The fields in the dataset have the following meaning:
E_i: the energy of jet constituent .PX_i: the component of the jet constituent's momentumPY_i: the component of the jet constituent's momentumPZ_i: the component of the jet constituent's momentumtruthE: the energy of the top-quarktruthPX: the component of the top quark's momentumtruthPY: the component of the top quark's momentumtruthPZ: the component of the top quark's momentumttv: a flag that indicates which split (train, validation, or test) that a jet belongs to. Redundant since each split is provided as a separate datasetis_signal_new: the label for each jet. A 1 indicates a top-quark, while a 0 indicates QCD background.
Data Splits
| train | validation | test | |
|---|---|---|---|
| Number of events | 1211000 | 403000 | 404000 |
Licensing Information
This dataset is released under the Creative Commons Attribution 4.0 International license.
Citation Information
@dataset{kasieczka_gregor_2019_2603256,
author = {Kasieczka, Gregor and
Plehn, Tilman and
Thompson, Jennifer and
Russel, Michael},
title = {Top Quark Tagging Reference Dataset},
month = mar,
year = 2019,
publisher = {Zenodo},
version = {v0 (2018\_03\_27)},
doi = {10.5281/zenodo.2603256},
url = {https://doi.org/10.5281/zenodo.2603256}
}
Contributions
Thanks to @lewtun for adding this dataset.
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Homepage:
zenodo.org
Paper:
arxiv.org
Point of Contact:
Gregor Kasieczka
Size of the auto-converted Parquet files:
2.53 GB
Number of rows:
2,018,000