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14 results for “Large Hadron Collider”
Hunting for vampires and other unlikely forms of parity violation at the Large Hadron Collider: lhe files
<p>Parton-level simulations in the PV-mSME model with various values of lambdaPV and for the standard model (lambdaPV=0).</p> <p>This dataset includes one example lhe file generated by MadGraph for each sample used in the <a href="https://arxiv.org/abs/2205.09876">paper</a>.<br> <br> The MadGraph version and the modifications we make to its generated code are included in the code sharing dataset on <a href="https://github.com/Rupt/paper-hunting-vampires">git</a> and <a href="https://doi.org/10.5281/zenodo.6827723">Zenodo</a>.<br> <br> Main files are named `liv_3j_4j_${lambdaPV}_0.lhe.gz`, where lambdaPV is a floating point number with "." replaced with "p".<br> <br> Other files named `liv_rot_${hour}_0.lhe.gz ` are from the rotated PV-mSME from the appendix that studies the effect of a rotating planet. Each rotation in radians is <em>hour * 2 pi / 24 </em>(for discrete rotations in a 24 hour day).<br> <br> The suffix "_0" encodes that each was generated with the first in our sequence of random seeds.</p> <p>`sm_3j_4j_0.lhe.gz` is simulated from the Standard Model, which is physically equivalent to lambdaPV = 0.</p>
New Physics Mining at the Large Hadron Collider: top pair production
<p><span class="math-tex">\(t \bar t\)</span> background events reconstructed by inclusive single-muon selection.</p> <p>Events are represented as an array of physics-motivated high-level features.</p> <p>Details are given in https://arxiv.org/abs/1811.10276</p>
New Physics Mining at the Large Hadron Collider: W -> l nu
<p><span class="math-tex">\(W \to \ell \nu\)</span> background events reconstructed by inclusive single-muon selection.</p> <p>Events are represented as an array of physics-motivated high-level features.</p> <p>Details are given in https://arxiv.org/abs/1811.10276</p>
New Physics Mining at the Large Hadron Collider: QCD multijet production
<p>QCD multijet background events reconstructed by inclusive single-muon selection.</p> <p>Events are represented as an array of physics-motivated high-level features.</p> <p>Details are given in https://arxiv.org/abs/1811.10276</p>
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_${HOUR}.tar.gz`.<br> These have similar (train, test, private_test) structures as the others, but comprise parts of the same mixed model and should be combined by subsampling to a weighted average.</p> <p>HOUR is an integer rotation in [0, 23] for which the detector is rotated by an angle given in radians as HOUR * 2 pi / 24. This rotated dataset has lambdaPV=1. We demonstrate merging of these datasets in the code sharing (<a href="https://github.com/Rupt/paper-hunting-vampires">git</a>, <a href="https://doi.org/10.5281/zenodo.6827723">Zenodo</a>).</p>
Hunting for vampires and other unlikely forms of parity violation at the Large Hadron Collider: calo-image datasets for the standard model
<p>An example calo-image dataset used in the <a href="https://arxiv.org/abs/2205.09876">paper</a>: standard model.</p> <p>Each shard is named `calo-image_sm_${DATASET}_${INDEX}.tar.gz`. Each contains one data file. DATASET is in {train,test,private_test} to label the three independent splits for training, validation, and testing respectively. INDEX labels separate batches which should be trivially combined.</p> <p>Each data file is in <a href="https://www.h5py.org/">h5</a> format. Its data are under the key "entries" as an array with shape (n, 32, 32) corresponding to (event_index, eta, phi) for the n calorimeter images in an unrolled eta--phi surface.</p> <p> </p>
Hunting for vampires and other unlikely forms of parity violation at the Large Hadron Collider: calo-image datasets for lambdaPV=1
<p>An example calo-image dataset used in the <a href="https://arxiv.org/abs/2205.09876">paper</a>: PV-mSME with lambdaPV=1.</p> <p>Each shard is named `calo-image_pv_msme_1_${DATASET}_${INDEX}.tar.gz`. Each contains one data file. DATASET is in {train,test,private_test} to label the three independent splits for training, validation, and testing respectively. INDEX labels separate batches which should 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 "entries" as an array with shape (n, 32, 32) corresponding to (event_index, eta, phi) for the n calorimeter images in an unrolled eta--phi surface.</p> <p> </p>
Supplementary Data: Simple, but not simplified: A new approach for optimising beyond-Standard Model physics searches at the Large Hadron Collider
<p><strong>Supplementary Data</strong></p> <p><em>Simple, but not simplified: A new approach for optimising beyond-Standard Model physics searches at the Large Hadron Collider</em></p> <p>This record contains the full dataset generated for the study "<em>Simple, but not simplified: A new approach for optimising beyond-Standard Model physics searches at the Large Hadron Collider</em>". It contains the following files:</p> <ul> <li>data_cross_sections_full_exact.csv - a CSV file with the soft breaking parameters M1, M2, mu and tanb, the neutralino/chargino masses, the cross sections for neutralino-neutralino, chargino-neutralino and chargino-chargino production at the LHC operating at a CM energy of 13 TeV, and the branching ratios of the unstable charginos/neutralinos. </li> <li>benchmark_points.zip - this zip file contains the SLHA files for the four benchmark points as shown in the paper, together with the prospino output for the cross section. </li> </ul> <p> </p>
Higgs to 4 Leptons with CMS Open data from the Large Hadron Collider
<p>Dataset for MIT 8.S50 online class details to process it can be found here: <br> https://github.com/mit-physics-data/psets/tree/main/pset2 </p>
New Physics Mining at the Large Hadron Collider: LQ -> b tau
<p><span class="math-tex">\(LQ \to b \tau\)</span> signal events reconstructed by inclusive single-muon selection.</p> <p>Events are represented as an array of physics-motivated high-level features.</p> <p>Details are given in https://arxiv.org/abs/1811.10276</p>
New Physics Mining at the Large Hadron Collider: A -> 4 leptons
<p><span class="math-tex">\(A \to 4\ell\)</span> signal events reconstructed by inclusive single-muon selection.</p> <p>Events are represented as an array of physics-motivated high-level features.</p> <p>Details are given in https://arxiv.org/abs/1811.10276</p>
New Physics Mining at the Large Hadron Collider: h^0 -> tau tau
<p><span class="math-tex">\(h^0 \to \tau^+ \tau^-\)</span> signal events reconstructed by inclusive single-muon selection.</p> <p>Events are represented as an array of physics-motivated high-level features.</p> <p>Details are given in https://arxiv.org/abs/1811.10276</p>
New Physics Mining at the Large Hadron Collider: Z -> l l
<p><span class="math-tex">\(Z \to \ell \ell\)</span> background events reconstructed by inclusive single-muon selection.</p> <p>Events are represented as an array of physics-motivated high-level features.</p> <p>Details are given in https://arxiv.org/abs/1811.10276</p>
New Physics Mining at the Large Hadron Collider: h+ -> tau nu
<p><span class="math-tex">\(h^\pm \to \tau^\pm \nu\)</span> signal events reconstructed by inclusive single-muon selection.</p> <p>Events are represented as an array of physics-motivated high-level features.</p> <p>Details are given in https://arxiv.org/abs/1811.10276</p>
ScienceDex guides
Understand access before you commit
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