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- Dataset: https://zenodo.org/record/6453048
- Agenda: https://agenda.infn.it/event/34607/
- Contact: Luca Anzalone
HEPMASS-IMB is a benchmark dataset for signal-background classification in High-Energy Physics (HEP), derived from HEPMASS (Baldi et al.) by imbalancing it two times: on the class labels, as well as on the mass labels.
- It has 27 feature columns (named from f0 to f26), and a 28-th mass feature (named mass).
- The 27 features are already normalized to have approximately zero-mean and unitary variance.
- The mass feature has five unique values: 500, 750, 1000, 1250, and 1500.
- There are two class labels: 1 (signal), and 0 (background).
- The dataset describes the decay of an hypothetical particle: X→tt¯→X−>tt¯→W+bW−b¯.
Further details about the original dataset are available here, whereas a description of our modifications is presented in our paper.
NOTE:
- The files provided here represent only the training-set, since it's what is diverse compared to the original HEPMASS.
- The label column has been renamed from "# label" to "type".
- There are two new columns: name, and weight.
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- Dataset: https://zenodo.org/record/7128223
- Agenda: https://agenda.infn.it/event/35822/
- Contact: Marco Letizia
Dataset for DQM for Drift Tube Chambers. The dataset include a reference sample and smaller data samples characterized by anomalous effects. Plots for data visualization are provided.