Stop Search in the Compressed Region via Semileptonic Decays
arXiv:1604.00007 · doi:10.1007/JHEP05(2016)036
Abstract
In supersymmetric extensions of the Standard Model, the superpartners of the top quark (stops) play the crucial role in addressing the naturalness problem. For direct pair-production of stops with each stop decaying into a top quark plus the lightest neutralino, the standard stop searches have difficulty finding the stop for a compressed spectrum where the mass difference between the stop and the lightest neutralino is close to the top quark mass, because the events look too similar to the large background. With an additional hard ISR jet, the two neutralinos from the stop decays are boosted in the opposite direction and they can give rise to some missing transverse energy. This may be used to distinguish the stop decays from the backgrounds. In this paper we study the semileptonic decay of such signal events for the compressed mass spectrum. Although the neutrino from the decay also produces some missing transverse energy, its momentum can be reconstructed from the kinematic assumptions and mass-shell conditions. It can then be subtracted from the total missing transverse momentum to obtain the neutralino contribution. Because it suffers from less backgrounds, we show that the semileptonic decay channel has a better discovery reach than the fully hadronic decay channel along the compressed line . With 300 , the 13 TeV LHC can discover the stop up to 500 GeV, covering the most natural parameter space region.
arXiv comment17 pages, 7 figures
References in corpus (19)
- Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC
- Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC
- The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
- The anti-k_t jet clustering algorithm
- An Introduction to PYTHIA 8.2
- Asymptotic formulae for likelihood-based tests of new physics
- DELPHES 3, A modular framework for fast simulation of a generic collider experiment
- MadGraph 5 : Going Beyond
- Parton distributions with LHC data
- ALPGEN, a generator for hard multiparton processes in hadronic collisions
- Top++: a program for the calculation of the top-pair cross-section at hadron colliders
- The CT10 NNLO Global Analysis of QCD
- Uncertainties on alpha_S in global PDF analyses and implications for predicted hadronic cross sections
- The PDF4LHC Working Group Interim Recommendations
- Squark and gluino production cross sections in pp collisions at = 13, 14, 33 and 100 TeV
- ATLAS Run 1 searches for direct pair production of third-generation squarks at the Large Hadron Collider
- Opening up the compressed region of stop searches at 13 TeV LHC
- Revealing Compressed Stops Using High-Momentum Recoils
- Search for direct pair production of supersymmetric top quarks decaying to all-hadronic final states in pp collisions at sqrt(s) = 8 TeV
Cited by in corpus (16)
- Probing stop pair production at the LHC with graph neural networks
- A top-squark hunter's guide
- Opening the black box of neural nets: case studies in stop/top discrimination
- Second Stop and Sbottom Searches with a Stealth Stop
- Demystifying the compressed top squark region with kinematic variables
- Mono-top Signature from Supersymmetric Channel
- The MSSM without Gluinos; an Effective Field Theory for the Stop Sector
- Investigating the Quantum Properties of Jets and the Search for a Supersymmetric Top Quark Partner with the ATLAS Detector
- Higgs-Precision Constraints on Colored Naturalness
- Uncover Compressed Supersymmetry via Boosted Bosons from the Heavier Stop/Sbottom
- Exploring the nearly degenerate stop region with sbottom decays
- Constraining slepton and chargino through compressed top squark search
- Extending the Reach of Compressed Gluinos at the LHC
- Compressed Stop Searches with Two Leptons and Two b-jets
- Constraining the Compressed Top Squark and Chargino along the W Corridor
- Top squark signal significance enhancement by different Machine Learning Algorithms