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Journal of High Energy Physics, ISSN 1126-6708, 05/2019, Volume 2019, Issue 5, pp. 1 - 16
High-multiplicity all-hadronic final states are an important, but difficult final state for searching for physics beyond the Standard Model. A powerful search... 
Jets | Quarks | Neural networks | Analysis | Standards | Machine learning | Substructures | Standard model (particle physics) | Large Hadron Collider | Vanilla | Mass distribution | Factorization | Histograms | Partons | Gluons | Searching | Dependence | Clipping | Sensitivity enhancement | Conditioning | Quantum chromodynamics
Journal Article
EPJ Web of Conferences, ISSN 2100-014X, 2019, Volume 214, p. 9005
Initial studies have suggested generative adversarial networks (GANs) have promise as fast simulations within HEP. These studies, while promising, have been... 
Interpolation | Parameters | Computer simulation | Neural networks | Particle physics | Machine learning | Interactive control | Distributed interactive simulation | Physics
Journal Article
Journal of Physics: Conference Series, ISSN 1742-6588, 11/2017, Volume 898, Issue 8, p. 82021
Conference Proceeding
Studies in History and Philosophy of Modern Physics, ISSN 1355-2198, 08/2015, Volume 51, pp. 71 - 81
Simulations have been at the center of an important literature that has debated the extent to which they count as epistemologically on a par with traditional... 
Simulations | Morgan | Higgs boson | Morrison | Experiments | Giere | MODELS | PHYSICS, MULTIDISCIPLINARY | HISTORY & PHILOSOPHY OF SCIENCE | Computer simulation | Computer-generated environments
Journal Article
Computational Astrophysics and Cosmology, ISSN 2197-7909, 12/2019, Volume 6, Issue 1, pp. 1 - 13
Inferring model parameters from experimental data is a grand challenge in many sciences, including cosmology. This often relies critically on high fidelity... 
Deep learning | Computational Mathematics and Numerical Analysis | Numeric Computing | Machine learning | Generative Adversarial Networks | Weak lensing convergence maps | Generative models | Physics | Astronomy, Astrophysics and Cosmology | Confidence intervals | Simulation | Computer simulation | Cosmology | Mathematical models | Emulators | Convergence
Journal Article
Journal of Physics: Conference Series, ISSN 1742-6588, 11/2017, Volume 898, Issue 8, p. 82015
Conference Proceeding
Journal Article
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