SModelS Database Update v1.2.3

Khosa, Charanjit K.; Kraml, S.; Lessa, André; Neuhuber, Philipp; Waltenberger, W.

doi:10.31526/lhep.2020.158

Cited by 58 publications

(51 citation statements)

References 41 publications

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“…In order to quickly confront individual proto-models with a large number of LHC results, we make use of the SModelS [14,[24][25][26][27][28][29] software package. This allows us to evaluate…”

Section: Lhc Resultsmentioning

confidence: 99%

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Artificial proto-modelling: building precursors of a next standard model from simplified model results

Waltenberger

Lessa

Kraml

2021

J. High Energ. Phys.

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We present a novel algorithm to identify potential dispersed signals of new physics in the slew of published LHC results. It employs a random walk algorithm to introduce sets of new particles, dubbed “proto-models”, which are tested against simplified-model results from ATLAS and CMS (exploiting the SModelS software framework). A combinatorial algorithm identifies the set of analyses and/or signal regions that maximally violates the SM hypothesis, while remaining compatible with the entirety of LHC constraints in our database. Demonstrating our method by running over the experimental results in the SModelS database, we find as currently best-performing proto-model a top partner, a light-flavor quark partner, and a lightest neutral new particle with masses of the order of 1.2 TeV, 700 GeV and 160 GeV, respectively. The corresponding global p-value for the SM hypothesis is pglobal≈ 0.19; by construction no look-elsewhere effect applies.

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Section: Lhc Resultsmentioning

confidence: 99%

“…For example, the UL map for the stop simplified model in the CMS 0l stop search at 13 TeV extends only up to ≈ 1225 GeV. We will try and remedy such artefacts by producing larger maps ourselves, similar to what has been done for gluino-squark production in [28].…”

Section: A Building Proto-modelsmentioning

confidence: 99%

Artificial proto-modelling: building precursors of a next standard model from simplified model results

Waltenberger

Lessa

Kraml

2021

J. High Energ. Phys.

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“…certain collider observables and Dark Matter constraints), as well as HiggsBounds version 5.3.2 [34,35], HiggsSignals version 2.5.0 [36,37], and CheckMATE version 2.0.26 [38][39][40][41][42][43][44] for LHC analyses. As a consistency check, we also interfaced SModelS version 1.2.4 [45,46] which has a complementary approach and uses simplified models for direct collider bounds/searches. For the scan, we have constrained ourselves to a variation of relevant parameters only, where we keep less relevant SUSY parameters at fixed values.…”

Section: Nmssm Benchmark Pointsmentioning

confidence: 99%

Phenomenology of a supersymmetric model inspired by inflation

Hollik

Moortgat‐Pick

et al. 2021

Eur. Phys. J. C

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The current challenges in high energy physics and cosmology are to build coherent particle physics models to describe the phenomenology at colliders in the laboratory and the observations in the universe. From these observations, the existence of an inflationary phase in the early universe gives guidance for particle physics models. We study a supersymmetric model which incorporates successfully inflation by a non-minimal coupling to supergravity and shows a unique collider phenomenology. Motivated by experimental data, we set a special emphasis on a new singlet-like state at $$97\,\text {GeV}$$ 97 GeV and single out possible observables for a future linear collider that permit a distinction of the model from a similar scenario without inflation. We define a benchmark scenario that is in agreement with current collider and Dark Matter constraints, and study the influence of the non-minimal coupling on the phenomenology. Measuring the singlet-like state with high precision on the percent level seems to be promising for resolving the models, even though the Standard Model-like Higgs couplings deviate only marginally. However, a hypothetical singlet-like state with couplings of about $$20\,\%$$ 20 % compared to a Standard Model Higgs at $$97\,\text {GeV}$$ 97 GeV encourages further studies of such footprint scenarios of inflation.

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“…SModelS [102][103][104][105]. [90], which moreover automatically produces the correct particles.py file to declare the even and odd particle content for SModelS.…”

Section: Smodelsmentioning

confidence: 99%

“…SModelS reports its results in the form of r-values, defined as the ratio of the theory prediction over the observed upper limit, for each experimental constraint that is matched in the database. All points for which at least one r-value equals or exceeds unity (r max ≥ 1) are considered as excluded.Concretely we are using SModelS v1.2.3[105]. For our purpose, the most relevant "prompt" search results from Run included in the v1.2.3 database are those from• the ATLAS EW-ino searches with 139 fb −1 , constraining W Z ( * ) + E miss…”

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confidence: 99%

Constraining electroweakinos in the minimal Dirac gaugino model

et al. 2020

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Supersymmetric models with Dirac instead of Majorana gaugino masses have distinct phenomenological consequences. In this paper, we investigate the electroweakino sector of the Minimal Dirac Gaugino Supersymmetric Standard Model (MDGSSM) with regards to dark matter (DM) and collider constraints. We delineate the parameter space where the lightest neutralino of the MDGSSM is a viable DM candidate, that makes for at least part of the observed relic abundance while evading constraints from DM direct detection, LEP and low-energy data, and LHC Higgs measurements. The collider phenomenology of the thus emerging scenarios is characterised by the richer electroweakino spectrum as compared to the Minimal Supersymmetric Standard Model (MSSM) -6 neutralinos and 3 charginos instead of 4 and 2 in the MSSM, naturally small mass splittings, and the frequent presence of long-lived particles, both charginos and/or neutralinos. Reinterpreting ATLAS and CMS analyses with the help of SmodelS and MadAnalysis 5, we discuss the sensitivity of existing LHC searches for new physics to these scenarios and show which cases can be constrained and which escape detection. Finally, we propose a set of benchmark points which can be useful for further studies, designing dedicated experimental analyses and/or investigating the potential of future experiments.

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SModelS Database Update v1.2.3

Cited by 58 publications

References 41 publications

Artificial proto-modelling: building precursors of a next standard model from simplified model results

Artificial proto-modelling: building precursors of a next standard model from simplified model results

Phenomenology of a supersymmetric model inspired by inflation

Constraining electroweakinos in the minimal Dirac gaugino model

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