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000636471 005__ 20250818212504.0
000636471 037__ $$aPUBDB-2025-03685
000636471 041__ $$aEnglish
000636471 1001_ $$0P:(DE-H253)PIP1109181$$aTorkian, Matin$$b0$$eCorresponding author$$udesy
000636471 1112_ $$aDPG Spring Meeting (German Physical Society)$$cGöttingen$$d2025-03-31 - 2025-04-04$$gDPG2025$$wGermany
000636471 245__ $$aPreliminary Studies of ttH(bb) Dileptonic Events Using CMS Run3 Data and Initial Tests of SPANet in This Channel
000636471 260__ $$c2025
000636471 3367_ $$033$$2EndNote$$aConference Paper
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000636471 520__ $$aThe Standard Model (SM) of particle physics predicts that the Higgs boson couples to fermions via a Yukawa-type interaction, with a strength proportional to the fermion mass. This makes the associated production of a Higgs boson with a top-quark pair ( ttH ) a crucial process to directly probe the top-Higgs Yukawa coupling, an essential parameter for confirming the SM nature of the Higgs boson. Among Higgs boson decays, the channel into a bb quark pair has the largest branching fraction, offering an experimentally promising final state. However, ttH(bb) process faces significant challenges regarding backgrounds, especially tt +jets production, with the ttbb background being irreducible with respect to the ttH, H → bb signal. Advance Machine Learning techniques are essential to improve the sensitivity to the signal process.This work focuses on the analysis of the ttH, H → bb process in events with two leptons, using proton-proton collision data collected by the CMS experiment at the LHC during Run3 at √s = 13.6   TeV . ML methods are explored to significantly enhance the sensitivity to the ttH signal. For the first time in this final state we are exploring the potential of SPANet for jet-parton assignment and neutrino kinematic regressions and finally signal and background classification.
000636471 536__ $$0G:(DE-HGF)POF4-611$$a611 - Fundamental Particles and Forces (POF4-611)$$cPOF4-611$$fPOF IV$$x0
000636471 693__ $$0EXP:(DE-H253)LHC-Exp-CMS-20150101$$1EXP:(DE-588)4398783-7$$5EXP:(DE-H253)LHC-Exp-CMS-20150101$$aLHC$$eLHC: CMS$$x0
000636471 7001_ $$0P:(DE-H253)PIP1106014$$aNattland, Philipp$$b1
000636471 7001_ $$0P:(DE-H253)PIP1108506$$aAdamowicz, Kai Fabian$$b2
000636471 7001_ $$0P:(DE-HGF)0$$aAdan, Danyer Perez$$b3
000636471 7001_ $$0P:(DE-HGF)0$$aHerreros, Daina Leyva Pernia Victor Serrano$$b4
000636471 7001_ $$0P:(DE-H253)PIP1017589$$aBotta, Valeria$$b5
000636471 7001_ $$0P:(DE-H253)PIP1115632$$aFeld, Lutz$$b6
000636471 7001_ $$0P:(DE-HGF)0$$aAldaya, Maria$$b7
000636471 7870_ $$0PUBDB-2025-03684$$aBraga da Rosa, Leticia et.al.$$d2025$$iIsMemberOf$$r$$tMaPSA quality control for the CMS phase-II detector upgrade
000636471 8564_ $$uhttps://www.dpg-verhandlungen.de/year/2025/conference/goettingen/part/t/session/46/contribution/2
000636471 8564_ $$uhttps://bib-pubdb1.desy.de/record/636471/files/DPG_2025_final.pdf$$yRestricted
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000636471 9101_ $$0I:(DE-HGF)0$$6P:(DE-H253)PIP1108506$$aExternal Institute$$b2$$kExtern
000636471 9101_ $$0I:(DE-HGF)0$$6P:(DE-H253)PIP1017589$$aExternal Institute$$b5$$kExtern
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000636471 9131_ $$0G:(DE-HGF)POF4-611$$1G:(DE-HGF)POF4-610$$2G:(DE-HGF)POF4-600$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bForschungsbereich Materie$$lMatter and the Universe$$vFundamental Particles and Forces$$x0
000636471 9141_ $$y2025
000636471 9201_ $$0I:(DE-H253)CMS-20120731$$kCMS$$lLHC/CMS Experiment$$x0
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