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The algorithm for Monte Carlo simulation of parton-level events based on an Artificial Neural Network (ANN) proposed in arXiv:1810.11509 is used to perform a simulation of $H\to 4\ell$ decay.
Event Generation and Statistical Sampling for Physics with Deep Generative Models and a Density Information Buffer (2019),
S. Otten, S. Caron, W. de Swart, M. van Beekveld, L. Hendriks, C. van Leeuwen, D. Podareanu, R. Ruiz de Austri and R. Verheyen, · 1901
Earlier work this paper cites.
Measurements of the Higgs boson width and anomalous H V V HVV couplings from on-shell and off-shell production in the four-lepton final state ,
A. M. Sirunyan et al. , · 1901
Earlier work this paper cites.
How to GAN LHC Events ,
A. Butter, T. Plehn and R. Winterhalder, · 1907
Earlier work this paper cites.
How to GAN away Detector Effects ,
M. Bellagente, A. Butter, G. Kasieczka, T. Plehn and R. Winterhalder, · 1912
Earlier work this paper cites.
A New Algorithm for Adaptive Multidimensional Integration ,
G. Lepage, · 1978
Earlier work this paper cites.
Weight optimization in multichannel Monte Carlo ,
R. Kleiss and R. Pittau, · 1994
Earlier work this paper cites.
Vegas revisited: Adaptive Monte Carlo integration beyond factorization ,
T. Ohl, · 1999
Earlier work this paper cites.
i-flow: High-dimensional Integration and Sampling with Normalizing Flows ,
C. Gao, J. Isaacson and C. Krause, · 2001
Earlier work this paper cites.
Exploring phase space with Neural Importance Sampling ,
E. Bothmann, T. Janßen, M. Knobbe, T. Schmale and S. Schumann, · 2001
Earlier work this paper cites.
Event Generation with Normalizing Flows ,
C. Gao, S. Hoeche, J. Isaacson, C. Krause and H. Schulz, · 2001
Earlier work this paper cites.
AMEGIC++ 1.0: A Matrix element generator in C++ ,
F. Krauss, R. Kuhn and G. Soff, · 2002
Earlier work this paper cites.
Uncertainties associated with GAN-generated datasets in high energy physics (2020),
K. T. Matchev and P. Shyamsundar, · 2002
Cited alongside, same era.
MadEvent: Automatic event generation with MadGraph ,
F. Maltoni and T. Stelzer, · 2003
Cited alongside, same era.
MadEvent: Automatic event generation with MadGraph ,
F. Maltoni and T. Stelzer, · 2003
Cited alongside, same era.
Challenges in Monte Carlo event generator software for High-Luminosity LHC (2020),
S. Amoroso et al. , · 2004
Cited alongside, same era.
Measurements of the Higgs boson inclusive and differential fiducial cross sections in the 4 ℓ \ell decay channel at s \sqrt{s} = 13 TeV ,
G. Aad et al. , · 2004
Cited alongside, same era.
One-step neural network inversion with pdf learning and emulation ,
L. Baird, D. Smalenberger and S. Ingkiriwang, · 2005
SAS Institute Inc., USA,
SAS/STAT 12.1 User’s Guide: Survey Data Analysis , · 2012
Later among the works it cites.
Good things peak in pairs: a note on the bimodality coefficient ,
R. Pfister, K. Schwarz, M. Janczyk, R. Dale and J. Freeman, · 2013
Later among the works it cites.
Adam: A method for stochastic optimization ,
D. P. Kingma and J. Ba, · 2015
Later among the works it cites.
T. Chen, M. Li, Y. Li, M. Lin, N. Wang, M. Wang, T. Xiao, B. Xu, C. Zhang and Z. Zhang, · 2015
Later among the works it cites.
Herwig 7.0/herwig++ 3.0 release note ,
J. Bellm, S. Gieseke, D. Grellscheid, S. Plätzer, M. Rauch, C. Reuschle, P. Richardson, P. Schichtel, M. H. Seymour, A. Siódmok and et al., · 2016
Later among the works it cites.
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Cited alongside, same era.
OASIS: Optimal Analysis-Specific Importance Sampling for event generation (2020),
K. T. Matchev and P. Shyamsundar, · 2006
Cited alongside, same era.
Precise predictions for the higgs-boson decayH → \rightarrow WW/ZZ → \rightarrow 4leptons ,
A. Bredenstein, A. Denner, S. Dittmaier and M. M. Weber, · 2006
Cited alongside, same era.
Neural resampler for Monte Carlo reweighting with preserved uncertainties ,
B. Nachman and J. Thaler, · 2007
Cited alongside, same era.
Generative Networks for LHC events (2020),
A. Butter and T. Plehn, · 2008
Cited alongside, same era.
GANplifying Event Samples (2020),
A. Butter, S. Diefenbacher, G. Kasieczka, B. Nachman and T. Plehn, · 2008
Cited alongside, same era.
J. Bendavid, · 2017
Later among the works it cites.
Event generation with sherpa 2.2 ,
E. Bothmann, G. Singh Chahal, S. Höche, J. Krause, F. Krauss, S. Kuttimalai, S. Liebschner, D. Napoletano, M. Schönherr, H. Schulz and et al., · 2019
Later among the works it cites.
Measurement and interpretation of differential cross sections for Higgs boson production at s = \sqrt{s}= 13 TeV ,
A. M. Sirunyan et al. , · 2019
Later among the works it cites.
Neural Network-Based Approach to Phase Space Integration ,
M. D. Klimek and M. Perelstein, · 2020
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Higgs boson production cross-section measurements and their EFT interpretation in the 4 ℓ 4\ell decay channel at s = \sqrt{s}= 13 TeV with the ATLAS detector ,
G. Aad et al. , · 2020
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