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Modern Particle Physics
https://www.hep.phy.cam.ac.uk/~thomson/MPP/ModernParticlePhysics.html28 Apr 2018: 20. Appendix B (.pptx). -
https://www.hep.phy.cam.ac.uk/~lester/dtm662/macports_qv_installed.txt
https://www.hep.phy.cam.ac.uk/~lester/dtm662/macports_qv_installed.txt20 Aug 2018: active) platform='darwin 17' archs='x86_64' date='2018-07-24T20:30:180100' cctools @886_6llvm38 platform='darwin 16' archs='x86_64' date='2016-10-17T23:20:020100' cctools @895_4llvm39 ... 0 (active) platform='darwin 17' archs='noarch' -
Searches for new physics with the ATLAS experiment
https://www.hep.phy.cam.ac.uk/~lester/teaching/ben-brunt-thesis.pdf4 Jun 2018: In particular, the Super Proton Synchrotron (SPS) led to the observation ofthe W and Z bosons in 1983 [18–20]. ... They are then accelerated over a period of roughly 20 minutes [16]to an energy of 6.5 TeV per beam, often expressed as a centre of mass -
https://www.hep.phy.cam.ac.uk/~lester/dtm662/mt2/Releases/oxbridgekine…
https://www.hep.phy.cam.ac.uk/~lester/dtm662/mt2/Releases/oxbridgekinetics-1.2/configure16 May 2018: #! /bin/sh # Guess values for system-dependent variables and create Makefiles. # Generated by GNU Autoconf 2.63 for OxbridgeKinetics 1.2. # # Report bugs to lester@hep.phy.cam.ac.uk. # # Copyright (C) 1992, 1993, 1994, 1995, 1996, 1998, 1999, 2000, -
https://www.hep.phy.cam.ac.uk/~lester/dtm662/mt2/Releases/oxbridgekine…
https://www.hep.phy.cam.ac.uk/~lester/dtm662/mt2/Releases/oxbridgekinetics-1.1/configure30 Apr 2018: #! /bin/sh # Guess values for system-dependent variables and create Makefiles. # Generated by GNU Autoconf 2.63 for OxbridgeKinetics 1.1. # # Report bugs to lester@hep.phy.cam.ac.uk. # # Copyright (C) 1992, 1993, 1994, 1995, 1996, 1998, 1999, 2000, -
Toward Generative Modeling ofCalorimetry Signals Exploring…
https://www.hep.phy.cam.ac.uk/~lester/teaching/PartIIIProjects/2018-MichaelAlbergo-MachineLearningCaloSimulation.pdf7 Dec 2018: functionality have appeared since, such as denoising autoencoders [20], sparse autoencoders. ... 20. GAN. WGAN-GP. GAN-DP. 2.1. MODELING WELL DEFINED DISTRIBUTIONS. which the training in the Beta case seems to be converging but at a much slower rate,
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