Open AccessPosted Content
An equal-velocity scenario for hiding dark matter at the LHC
Kaoru Hagiwara,Toshifumi Yamada +1 more
TL;DR: In this article, the authors considered a light supersymmetric top quark (stop) scenario, where a stop and a neutralino are the lightest super-ymmetric particles and the stop mass is close to the sum of the neutralino mass and the top-quark mass, and proposed an analysis technique aiming at discovering the stop pair production signal in such an ''equal-velocity'' scenario.
read more
Abstract: We consider a light supersymmetric top quark (stop) scenario, where a stop and a neutralino are the lightest supersymmetric particles and the stop mass is close to the sum of the neutralino mass and the top quark mass. In this scenario, the top quark and the neutralino coming from the decay of a stop have almost equal velocity vectors, and hence the missing transverse momentum in stop pair production events at colliders is suppressed, which makes the stop search challenging, as in the degenerate scenario where the stop mass and the neutralino mass are nearby. In this paper, we propose a novel analysis technique aiming at discovering the stop pair production signal in such an `equal-velocity' scenario. The key is to look for events where the missing transverse momentum vector is proportional to the transverse momentum vector of the top quark pair with specific values for the proportionality coefficient, as this coefficient equals to the ratio of the neutralino mass over the top quark mass in the equal-velocity limit. We examine the possibility that the stop signal can be identified at the 14 TeV LHC by our analysis method.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Probing stop pair production at the LHC with graph neural networks
TL;DR: In this article, the authors propose to represent collision events as event graphs and use the message passing neutral network (MPNN) to analyze the events, and find that MPNN can efficiently discriminate the signal and back ground events.
Opening Up the Compressed Region of Top Squark Searches at 13 TeV LHC
Haipeng An,Lian-Tao Wang +1 more
TL;DR: This Letter defines a new observable R_{M} whose distribution has a peak in this compressed region, and shows that for the 13 TeV LHC with a luminosity of 3000 fb^{-1), this analysis can extend the reach of the top squark in the compressed region to m_{t[over ˜]} around 800 GeV.
79
•Journal Article
Opening the Black Box of Neural Nets: Case Studies in Stop/top Discrimination
Thomas Roxlo,Matthew Reece +1 more
TL;DR: This work introduces techniques for exploring the functionality of a neural network and extracting simple, human-readable approximations to its performance by performing gradient ascent on the input space of the network and producing large populations of artificial events which strongly excite a given classifier.
38
Stealth Supersymmetry Simplified
TL;DR: In this article, a set of simplified models of Stealth Supersymmetry that motivate 13 TeV LHC searches are presented. But they do not consider the effects of the Higgsino on the superpartners' decay.
Stop search in the compressed region via semileptonic decays
TL;DR: In this paper, the semileptonic decay of signal events for the compressed mass spectrum was studied and it was shown that the semi-decay channel has a better discovery reach than the fully hadronic decay channel along the compressed line.
References
PYTHIA 6.4 Physics and Manual
TL;DR: The Pythia program as mentioned in this paper can be used to generate high-energy-physics ''events'' (i.e. sets of outgoing particles produced in the interactions between two incoming particles).
The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
Johan Alwall,Rikkert Frederix,Stefano Frixione,Valentin Hirschi,Fabio Maltoni,Olivier Mattelaer,Hua-Sheng Shao,Tim Stelzer,Paolo Torrielli,Marco Zaro,Marco Zaro +10 more
TL;DR: MadGraph5 aMC@NLO as discussed by the authors is a computer program capable of handling all these computations, including parton-level fixed order, shower-matched, merged, in a unified framework whose defining features are flexibility, high level of parallelisation and human intervention limited to input physics quantities.
The anti-$k_t$ jet clustering algorithm
TL;DR: The anti-k-t algorithm as mentioned in this paper behaves like an idealised cone algorithm, in that jets with only soft fragmentation are conical, active and passive areas are equal, the area anomalous dimensions are zero, the non-global logarithms are those of a rigid boundary and the Milan factor is universal.
•Posted Content
PYTHIA 6.2: Physics and manual
TL;DR: The PYTHIA program as mentioned in this paper can be used to generate high-energy-physics ''events'' i.e. sets of outgoing particles produced in the interactions between two incoming particles.
4.9K
The anti-k_t jet clustering algorithm
TL;DR: The anti-k-t algorithm as mentioned in this paper behaves like an idealised cone algorithm, in that jets with only soft fragmentation are conical, active and passive areas are equal, the area anomalous dimensions are zero, the non-global logarithms are those of a rigid boundary and the Milan factor is universal.
4.4K