HepSim: a repository with predictions for high-energy physics experiments

Abstract

A file repository for calculations of cross sections and kinematic distributions using Monte Carlo generators for high-energy collisions is discussed. The repository is used to facilitate effective preservation and archiving of data from theoretical calculations, as well as for comparisons with experimental data. The HepSim data library is publicly accessible and includes a number of Monte Carlo event samples with Standard Model predictions for current and future experiments. The HepSim project includes a software package to automate the process of downloading and viewing online Monte Carlo event samples. A data streaming over a network for end-user analysis is discussed.

arXiv comment12 pages, 2 figures

References in corpus (23)

• PYTHIA 6.4 Physics and Manual
• PYTHIA 6.2 Physics and Manual
• The anti-k_t jet clustering algorithm
• Parton distributions for the LHC
• DELPHES 3, A modular framework for fast simulation of a generic collider experiment
• MadGraph 5 : Going Beyond
• HERWIG 6.5: an event generator for Hadron Emission Reactions With Interfering Gluons (including supersymmetric processes)
• Successive Combination Jet Algorithm For Hadron Collisions
• MCFM for the Tevatron and the LHC
• Rivet user manual
• ROOT - A C++ Framework for Petabyte Data Storage, Statistical Analysis and Visualization
• Next-to-leading order calculation of three-jet observables in hadron-hadron collision
• A posteriori inclusion of parton density functions in NLO QCD final-state calculations at hadron colliders: The APPLGRID Project
• Cross section of isolated prompt photons in hadron-hadron collisions
• CompHEP - a package for evaluation of Feynman diagrams and integration over multi-particle phase space. User's manual for version 33
• A new critical study of photon production in hadronic collisions
• FPMC: a generator for forward physics
• ProMC: Input-output data format for HEP applications using varint encoding
• LCG MCDB -- a Knowledgebase of Monte Carlo Simulated Events
• JetWeb: A WWW Interface and Database for Monte Carlo Tuning and Validation
• Sensitivity to new high-mass states decaying to ttbar at a 100 TeV collider
• HepML, an XML-based format for describing simulated data in high energy physics
• Next generation input-output data format for HEP using Google's protocol buffers

Cited by in corpus (26)

• MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks
• New perspectives on segmented crystal calorimeters for future colliders
• ProMC: Input-output data format for HEP applications using varint encoding
• A survey of machine learning-based physics event generation
• Precision searches in dijets at the HL-LHC and HE-LHC
• Machine learning techniques in searches for $t\bar{t}h$ in the $h\to b\bar{b}$ decay channel
• Double Higgs Production in the 4$\tau$ channel from resonances in longitudinal vector boson scattering at a 100 TeV collider
• Event-based anomaly detection for new physics searches at the LHC using machine learning
• Initial performance studies of a general-purpose detector for multi-TeV physics at a 100 TeV pp collider
• Imaging particle collision data for event classification using machine learning
• Sensitivity to new high-mass states decaying to ttbar at a 100 TeV collider
• ProIO: An Event-Based I/O Stream Format for Protobuf Messages
• Machine learning using rapidity-mass matrices for event classification problems in HEP
• Cross-platform validation and analysis environment for particle physics
• Studies of granularity of a hadronic calorimeter for tens-of-TeV jets at a 100 TeV $pp$ collider
• Model-independent searches for new physics in multi-body invariant masses
• Conceptual Design Studies for a CEPC Detector
• ADFilter -- A Web Tool for New Physics Searches With Autoencoder-Based Anomaly Detection Using Deep Unsupervised Neural Networks
• Public repository with Monte Carlo simulations for high-energy particle collision experiments
• Jas4pp -- a Data-Analysis Framework for Physics and Detector Studies
• Iterative subtraction method for Feature Ranking
• Automated detector simulation and reconstruction parametrization using machine learning
• Energy range of hadronic calorimeter towers and cells for high-pT jets at a 100 TeV collider
• Geant4 simulations of sampling and homogeneous hadronic calorimeters with dual readout for future colliders
• Effect of PYTHIA8 tunes on event shapes and top-quark reconstruction in $e^{+}{e}^{-}$ annihilation at CLIC
• Explaining machine-learned particle-flow reconstruction