Machine learning techniques in searches for tt̄h in the h → bb̄ decay channel

Journal of Instrumentation - Tập 12 Số 04 - Trang P04014
R. Santos1, M. Nguyen1, J. Webster2, S. Ryu2, J. Adelman3, S. Chekanov2, J. Zhou1
1Department of Computer Science, Northern Illinois University, 1425 W. Lincoln Hwy, DeKalb, IL, U.S.A.
2Argonne National Laboratory, 9700 S. Cass Avenue, Lemont, IL, U.S.A.
3Department of Physics, Northern Illinois University, 1425 W. Lincoln Hwy, DeKalb, IL, U.S.A.

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citation_journal_title=Eur. Phys. J.; citation_title=Comparative study of various algorithms for the merging of parton showers and matrix elements in hadronic collisions; citation_volume=53; citation_publication_date=2008; citation_firstpage=473; citation_doi=10.1140/epjc/s10052-007-0490-5; citation_arxiv_id=0706.2569; citation_journal_title=Eur. Phys. J.; citation_title=Measurement of event shapes at large momentum transfer with the ATLAS detector in pp collisions at s1/2=7 TeV; citation_volume=72; citation_publication_date=2012; citation_firstpage=2211; citation_doi=10.1140/epjc/s10052-012-2211-y; citation_arxiv_id=1206.2135; citation_journal_title=Eur. Phys. J.; citation_title=Search for the Standard Model Higgs boson produced in association with top quarks and decaying into bb̄ in pp collisions at s1/2 = 8 TeV with the ATLAS detector; citation_volume=75; citation_publication_date=2015; citation_firstpage=349; citation_doi=10.1140/epjc/s10052-015-3543-1; citation_arxiv_id=1503.05066; citation_journal_title=J. High Energy Phys.; citation_title=The automated computation of tree-level and next-to-leading order differential cross sections and their matching to parton shower simulations; citation_volume=2014; citation_issue=07; citation_publication_date=2014; citation_firstpage=079; citation_doi=10.1007/JHEP07(2014)079; citation_arxiv_id=1405.0301; citation_journal_title=J. High Energy Phys.; citation_title=MadGraph 5: Going Beyond; citation_volume=2011; citation_issue=06; citation_publication_date=2011; citation_firstpage=128; citation_doi=10.1007/JHEP06(2011)128; citation_arxiv_id=1106.0522; citation_journal_title=JINST; citation_title=A Convolutional Neural Network Neutrino Event Classifier; citation_volume=11; citation_publication_date=2016; citation_firstpage=P09001; citation_arxiv_id=1604.01444; citation_journal_title=JINST; citation_title=A neural network clustering algorithm for the ATLAS silicon pixel detector; citation_volume=9; citation_publication_date=2014; citation_firstpage=P09009; citation_arxiv_id=1406.7690; citation_journal_title=Phys. Rev.; citation_title=Search for a multi-Higgs-boson cascade in W+W-bb̄ events with the ATLAS detector in pp collisions at s1/2 = 8 TeV; citation_volume=89; citation_publication_date=2014; citation_firstpage=032002; citation_doi=10.1103/PhysRevD.89.032002; citation_arxiv_id=1312.1956; citation_publication_date=2014; citation_publication_date=2015; citation_journal_title=JINST; citation_title=Performance of b-Jet Identification in the ATLAS Experiment; citation_volume=11; citation_publication_date=2016; citation_firstpage=P04008; citation_arxiv_id=1512.01094; citation_publication_date=2016; citation_journal_title=Phys. Rev.; citation_title=Fox-Wolfram Moments in Higgs Physics; citation_volume=87; citation_publication_date=2013; citation_firstpage=073014; citation_doi=10.1103/PhysRevD.87.073014; citation_arxiv_id=1212.4436; citation_journal_title=Nucl. Phys.; citation_title=Parton distributions with QED corrections; citation_volume=877; citation_publication_date=2013; citation_firstpage=290; citation_doi=10.1016/j.nuclphysb.2013.10.010; citation_arxiv_id=1308.0598; citation_journal_title=Eur. Phys. J.; citation_title=Boosting Higgs pair production in the bb̄bb̄ final state with multivariate techniques; citation_volume=76; citation_publication_date=2016; citation_firstpage=386; citation_doi=10.1140/epjc/s10052-016-4215-5; citation_arxiv_id=1512.08928; citation_journal_title=Eur. Phys. J.; citation_title=Parameterized neural networks for high-energy physics; citation_volume=76; citation_publication_date=2016; citation_firstpage=235; citation_doi=10.1140/epjc/s10052-016-4099-4; citation_arxiv_id=1601.07913; citation_journal_title=Eur. Phys. J.; citation_title=HERWIG++ Physics and Manual; citation_volume=58; citation_publication_date=2008; citation_firstpage=639; citation_doi=10.1140/epjc/s10052-008-0798-9; citation_arxiv_id=0803.0883; citation_journal_title=Nat. Commun.; citation_title=Searching for Exotic Particles in High-Energy Physics with Deep Learning; citation_volume=5; citation_publication_date=2014; citation_firstpage=4308; citation_doi=10.1038/ncomms5308; citation_arxiv_id=1402.4735; citation_journal_title=Phys. Rev. Lett.; citation_title=Enhanced Higgs Boson to τ+τ- Search with Deep Learning; citation_volume=114; citation_publication_date=2015; citation_firstpage=111801; citation_doi=10.1103/PhysRevLett.114.111801; citation_arxiv_id=1410.3469; citation_journal_title=Phys. Rev. Lett.; citation_title=Observation of top quark production in p̄p collisions; citation_volume=74; citation_publication_date=1995; citation_firstpage=2626; citation_doi=10.1103/PhysRevLett.74.2626; citation_arxiv_id=hep-ex/9503002; citation_journal_title=Phys. Rev. Lett.; citation_title=Total Top-Quark Pair-Production Cross Section at Hadron Colliders Through 𝒪(α4S); citation_volume=110; citation_publication_date=2013; citation_firstpage=252004; citation_doi=10.1103/PhysRevLett.110.252004; citation_arxiv_id=1303.6254; citation_title=Xgboost: A scalable tree boosting system; citation_author=T. Chen and C. Guestrin; citation_arxiv_id=1603.02754; citation_journal_title=J. High Energy Phys.; citation_title=Search for the standard model Higgs boson produced in association with a top-quark pair in pp collisions at the LHC; citation_volume=2013; citation_issue=05; citation_publication_date=2013; citation_firstpage=145; citation_doi=10.1007/JHEP05(2013)145; citation_arxiv_id=1303.0763; citation_journal_title=Adv High Energy Phys.; citation_title=HepSim: a repository with predictions for high-energy physics experiments; citation_volume=2015; citation_publication_date=2015; citation_firstpage=136093; citation_doi=10.1155/2015/136093; citation_journal_title=JINST; citation_title=Performance of Photon Reconstruction and Identification with the CMS Detector in Proton-Proton Collisions at s1/2 = 8 TeV; citation_volume=10; citation_publication_date=2015; citation_firstpage=P08010; citation_arxiv_id=1502.02702; citation_journal_title=Phys. Rev.; citation_title=Search for Z' resonances decaying to tt̄ in dilepton+jets final states in pp collisions at s1/2=7 TeV; citation_volume=87; citation_publication_date=2013; citation_firstpage=072002; citation_doi=10.1103/PhysRevD.87.072002; citation_arxiv_id=1211.3338; citation_title=Search for ttH production using the Matrix Element Method; citation_publication_date=2014; citation_journal_title=Eur. Phys. J.; citation_title=Search for a Standard Model Higgs Boson Produced in Association with a Top-Quark Pair and Decaying to Bottom Quarks Using a Matrix Element Method; citation_volume=75; citation_publication_date=2015; citation_firstpage=251; citation_doi=10.1140/epjc/s10052-015-3454-1; citation_arxiv_id=1502.02485; citation_publication_date=2016; citation_journal_title=J. High Energy Phys.; citation_title=The Anti-kt jet clustering algorithm; citation_volume=2008; citation_issue=04; citation_publication_date=2008; citation_firstpage=063; citation_arxiv_id=0802.1189; citation_journal_title=Phys. Rev. Lett.; citation_title=Observation of the top quark; citation_volume=74; citation_publication_date=1995; citation_firstpage=2632; citation_doi=10.1103/PhysRevLett.74.2632; citation_arxiv_id=hep-ex/9503003; citation_journal_title=J. High Energy Phys.; citation_title=DELPHES 3, A modular framework for fast simulation of a generic collider experiment; citation_volume=2014; citation_issue=02; citation_publication_date=2014; citation_firstpage=057; citation_doi=10.1007/JHEP02(2014)057; citation_arxiv_id=1307.6346; citation_title=A Neural Bayesian Estimator for Conditional Probability Densities; citation_author=M. Feindt; citation_arxiv_id=physics/0402093; citation_journal_title=Nucl. Instrum. Meth.; citation_title=Introduction to HOBIT, a b-Jet Identification Tagger at the CDF Experiment Optimized for Light Higgs Boson Searches; citation_volume=697; citation_publication_date=2013; citation_firstpage=64; citation_doi=10.1016/j.nima.2012.09.021; citation_arxiv_id=1205.1812; citation_journal_title=Phys. Rev.; citation_title=Jet Flavor Classification in High-Energy Physics with Deep Neural Networks; citation_volume=94; citation_publication_date=2016; citation_firstpage=112002; citation_doi=10.1103/PhysRevD.94.112002; citation_arxiv_id=1607.08633; citation_journal_title=Int J. Mod. Phys.; citation_title=Review of Physics Results from the Tevatron: Top Quark Physics; citation_publication_date=2014; citation_arxiv_id=1409.5038; citation_title=Pylearn2: a machine learning research library; citation_author=I.J. Goodfellow et al.; citation_arxiv_id=1308.4214; citation_journal_title=SIGKDD Explor.; citation_title=The WEKA data mining software: An update; citation_volume=11; citation_publication_date=2009; citation_firstpage=10; citation_doi=10.1145/1656274.1656278; citation_journal_title=J. High Energy Phys.; citation_title=Search for the associated production of the Higgs boson with a top-quark pair; citation_volume=2014; citation_issue=09; citation_publication_date=2014; citation_firstpage=087; citation_doi=10.1007/JHEP09(2014)087; citation_arxiv_id=1408.1682; citation_journal_title=J. High Energy Phys.; citation_volume=2014; citation_issue=10; citation_publication_date=2014; citation_firstpage=106; citation_doi=10.1007/JHEP10(2014)106; citation_journal_title=Adv Neural. Inform. Process. Syst.; citation_title=Imagenet classification with deep convolutional neural networks; citation_volume=25; citation_publication_date=2012; citation_firstpage=1097; citation_title=Handbook of LHC Higgs Cross Sections: 1. Inclusive Observables; citation_author=LHC Higgs Cross Section Working Group, S. Dittmaier et al.; citation_arxiv_id=1101.0593; citation_journal_title=J. Phys. Conf. Ser.; citation_title=LHCb Topological Trigger Reoptimization; citation_volume=664; citation_publication_date=2015; citation_firstpage=082025; citation_doi=10.1088/1742-6596/664/8/082025; citation_arxiv_id=1510.00572; citation_journal_title=Eur. Phys. J.; citation_title=FastJet user manual; citation_volume=72; citation_publication_date=2012; citation_firstpage=1896; citation_doi=10.1140/epjc/s10052-012-1896-2; citation_arxiv_id=1111.6097; citation_journal_title=J. Phys. Conf. Ser.; citation_title=A neural network z-vertex trigger for Belle II; citation_volume=608; citation_publication_date=2015; citation_firstpage=012052; citation_doi=10.1088/1742-6596/608/1/012052; citation_arxiv_id=1410.1395; citation_journal_title=Nucl. Instrum. Meth.; citation_title=Boosted decision trees, an alternative to artificial neural networks; citation_volume=543; citation_publication_date=2005; citation_firstpage=577; citation_doi=10.1016/j.nima.2004.12.018; citation_arxiv_id=physics/0408124; citation_title=Going Deeper with Convolutions; citation_author=C. Szegedy et al.; citation_arxiv_id=1409.4842; citation_journal_title=J. High Energy Phys.; citation_title=PYTHIA 6.4 Physics and Manual; citation_volume=2006; citation_issue=05; citation_publication_date=2006; citation_firstpage=026; citation_arxiv_id=hep-ph/0603175; citation_title=Theano: A Python framework for fast computation of mathematical expressions; citation_author=R. Al-Rfou et al.; citation_arxiv_id=1605.02688; citation_journal_title=BMC Bioinf.; citation_title=Biocat: a pattern recognition platform for customizable biological image classification and annotation; citation_volume=14; citation_publication_date=2013; citation_firstpage=291; citation_doi=10.1186/1471-2105-14-291;