Hunting for vampires and other unlikely forms of parity violation at the Large Hadron Collider: truth-jet and reco-jet datasets
<p>All truth-jet and reco-jet datasets used in the <a href="https://arxiv.org/abs/2205.09876">paper</a>.</p> <p><strong>Main</strong>: fragments are named `truth-jet_${MODEL}.tar.gz`, where MODEL is either `pv_msme_${lambdaPV}` (PV-mSME and lambdaPV is a floating point number with "." replaced with "p"), or `sm` for the Standard Model (lambdaPV = 0).</p> <p>Within each are three directories for the independent splits:</p> <ul> <li>train,</li> <li>test, and</li> <li>private_test.</li> </ul> <p> In the paper, we describe "test" as the validation set and "private_test" as the test set. Data in "private_test" were not used until models were finalized for the paper.<br> Within each of those are the processed results from simulations with different random seeds. They are independent shards which can be trivially combined.</p> <p>Each data file is in <a href="https://www.h5py.org/">h5</a> format. Its data are under the key "events" as an array with shape (n, 20). That last axis contains the reconstructed four-momenta of the hardest five jets in the order [Px, Py, Pz, E] * 5, with missing jets filled with zeros.</p> <p>Truth-jet files have additional keys "flavors" and "helicities". These contain truth-level flavour and helicity information, respectively. Their shape is (n, 5), where the last axis contains the zero-padded results. Flavours are encoded in the PDG ID scheme.</p> <p><strong>Rotated</strong>: Rotated PV-mSME data are in archives named `truth-jet-rot_${HOUR}.tar.gz`.<br> These have similar (train, test, private_test) structures as the others, but comprise parts of the same mixed model and should be combined by subsampling to a weighted average.</p> <p>HOUR is an integer rotation in [0, 23] for which the detector is rotated by an angle given in radians as HOUR * 2 pi / 24. This rotated dataset has lambdaPV=1. We demonstrate merging of these datasets in the code sharing (<a href="https://github.com/Rupt/paper-hunting-vampires">git</a>, <a href="https://doi.org/10.5281/zenodo.6827723">Zenodo</a>).</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 8