Minimal kinematic constraints and m T2

By Hsin-Chia Cheng, Zhenyu Han. 2008

240 citations recorded by the source corpus.

We clarify the relation between the variable mT2 and the method of kinematic constraints, both of which can be used for mass determination in events with two missing (dark matter) particles at hadron colliders. We identify a set of minimal kinematic constraints, including the mass shell conditions for the missing particles and their mother particles, as well as the constraint from the measured missing transverse momentum. We show that mT2 is the boundary of the mass region consistent with the minimal constraints. From this point of view, we also obtained a more efficient algorithm for calculating mT2. When more constraints are available in the events, we can develop more sophisticated mass determination methods starting from the mT2 constraint. In particular, we discuss cases when each decay chain contains two visible particles.

Subfields: Artificial Intelligence, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/5f6df92a8d965723c3343bb36506473354f3b024

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In Nuclear and High Energy Physics

Citations in the corpus

Stop the top background of the stop search (2012, methodology): “This is in the same spirit as interpretingMT2 as the minimal mother particle mass compatible with the minimal kinematic constraints [49] except that all mass-shell constraints on the cascade decay chain are used.”
A review of the mass measurement techniques proposed for the Large Hadron Collider (2010, methodology): “Since it has also been shown [50] that MT2 delineates the boundary between allowed and disallowed regions in mass space, we can see that MCT has the same bounding property in mass space under these conditions.”
Using subsystem MT2 for complete mass determinations in decay chains with missing energy at hadron colliders (2008, methodology): “12 Ref. [ 48 ] considered the decay chain ˜ q ! ˜ χ02 ! ˜ l ! ˜ χ 0 1 and used the two leptons to form an MT2 variable which in our notation would correspond to M (3,2,0)”
Toward a public analysis database for LHC new physics searches using MADANALYSIS 5 (2014, methodology): “Each mT 2 signal region is defined by its threshold on the mT 2 (“stransverse mass”) variable [52,53] that is used for reducing the t t̄ and W t backgrounds: mT 2 > 90,> 120, and > 150 GeV, for SR-m90 T 2, SR-m 120 T 2 , and SR-m 150 T 2 , respectively.”
Deep Learning, Dark Knowledge, and Dark Matter (2014, background): “There has been a vigorous eﬀort in the literature to build high-level features which can aid in this classiﬁcation task (Cheng and Han, 2008; Barr et al., 2003; Rogan, 2010; Buckley et al., 2013), including the ten used for this benchmark: • Axial E T : missing transverse energy along the vector…”
Anatomy of the inert two-Higgs-doublet model in the light of the LHC and non-LHC dark matter searches (2016, methodology): “In order to calculate the limits from the LHC at 8 TeV, we used the CheckMATE [90, 91, 92, 93, 94, 95, 96, 97, 98] framework, which allows easy application of implemented search analyses.”