Simplified models for exotic BSM searches

Heisig, Jan; Lessa, André; Quertenmont, L.

doi:10.1007/jhep12(2015)087

Cited by 19 publications

(37 citation statements)

References 59 publications

(122 reference statements)

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“…If it does not fall in any of these categories, an error message is displayed. Second, during the decomposition into simplified models, at each step in the cascade we compute the probabilities for the respective BSM particle to decay promptly (F prompt ) and to decay outside the detector (F long ) [14,3]. The procedure is illustrated schematically in Fig.…”

Section: Extension Of Decomposition Proceduresmentioning

confidence: 99%

SModelS v1.2: Long-lived particles, combination of signal regions, and other novelties

Ambrogi

Dutta

Heisig

et al. 2020

Computer Physics Communications

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SModelS is an automatised tool enabling the fast interpretation of simplified model results from the LHC within any model of new physics respecting a Z 2 symmetry. With the version 1.2 we announce several new features. First, previous versions were restricted to missing energy signatures and assumed prompt decays within each decay chain. SModelSv1.2 considers the lifetime of each Z 2 -odd particle and appropriately takes into account missing energy, heavy stable charge particle and R-hadron signatures. Second, the current version allows for a combination of signal regions in efficiency map results whenever a covariance matrix is available from the experiment. This is an important step towards fully exploiting the constraining power of efficiency map results. Several other improvements increase the user-friendliness, such as the use of wildcards in the selection of experimental results, and a faster database which can be given as a URL. Finally, smodelsTools provides an interactive plots maker to conveniently visualize the results of a model scan. Summary of revisions:The most important new features in v1.2 are the combination of signal regions in efficiency map results whenever a covariance matrix is available from the experiment, and the implementation of heavy stable charge particle and R-hadron signatures. Moreover, the database of experimental results can now be given as a URL, and the pickling has been improved to make the database faster. Other improvements include that wildcards are allowed when selecting analyses, datasets or topologies, and that the path to the model file, formerly required to be smodels/sparticles.py, can be specified in the parameters card. For the convenience of the user, we also provide a tool to make interactive plots to visualize results of a model scan. Finally, the whole code now also runs with Python 3, which has become the recommended default, and it can now be installed in its source directory.Nature of problem: The results for searches for new physics beyond the Standard Model (BSM) at the Large Hadron Collider are often communicated by the experimental collaborations in terms of constraints on so-called simplified models spectra (SMS). Understanding how SMS constraints impact a realistic new physics model, where possibly a multitude of production channels and decay modes are relevant, is a non-trivial task.Solution method: We exploit the notion of simplified models to constrain full models by "decomposing" them into their SMS components. A database of SMS results obtained from the official results of the ATLAS and CMS collaborations, but in part also from 'recasting' the experimental analyses, can be matched against the decomposed model, resulting in a statement to what extent the model at hand is in agreement or contradiction with the experimental results. Further useful information on, e.g., the coverage of the model's signatures is also provided.

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Section: Extension Of Decomposition Proceduresmentioning

confidence: 99%

SModelS v1.2: Long-lived particles, combination of signal regions, and other novelties

Ambrogi

Dutta

Heisig

et al. 2020

Computer Physics Communications

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“…At each step in the cascade we compute the probability for the BSM particle to decay promptly (F prompt ) or to decay outside the detector (F long ), which can be relevant for metastable particles with proper lifetimes within few cm to few m [8]. The respective weight of a topology,σ, is hence given by:…”

Section: Implementation In Smodelsmentioning

confidence: 99%

“…A method for (re)using LLP simplified-model constraints was developed previously by some of us in [8]. In this Letter, we now present the implementation of HSCP and R-hadron 2 signatures in SModelS v1.2 and demonstrate its usability to constrain arbitrary BSM scenarios containing such signatures.…”

Section: Introductionmentioning

confidence: 99%

“…With respect to previous versions, SMod-elS v1.2 includes an additional step in the decomposition accounting for the probabilities of BSM particles to decay promptly or to appear long-lived. Our implementation goes beyond the method presented in [8] by incorporating a better treatment of finite lifetimes (for cτ of the order of the size of detector) and the inclusion of CMS 13 TeV results. Concretely, we added the experimental cross-section upper limits for the direct production of HSCPs from [10,11] and Rhadrons from [11], and we developed and included recasted efficiency maps for the 13 TeV analysis [11].…”

Section: Introductionmentioning

confidence: 99%

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Constraining new physics with searches for long-lived particles: Implementation into SModelS

2019

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We present the implementation of heavy stable charge particle (HSCP) and R-hadron signatures into SModelS v1.2. We include simplified-model results from the 8 and 13 TeV LHC and demonstrate their impact on two new physics scenarios motivated by dark matter: the inert doublet model and a gravitino dark matter scenario. For the former, we find sensitivity up to dark matter masses of 580 GeV for small mass splittings within the inert doublet, while missing energy searches are not able to constrain any significant part of the cosmologically preferred parameter space. For the gravitino dark matter scenario, we show that both HSCP and R-hadron searches provide important limits, allowing to constrain the viable range of the reheating temperature.2 For concreteness we label electrically charged but color neutral heavy stable particles as HSCPs. Long-lived colored particles, which can hadronize and form electrically charged bound states are always referred to as R-hadrons.

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“…The predictions for BRðμ → eγÞ and BRðμ → 3eÞ lie in the range where the recent and near future experiment can probe. Our scenario can be precisely illuminated by combining LFV observables and unique collider signals [94][95][96][97][98][99][100]. It should be emphasized that when we consider the [92] not yet observed CLFV.…”

Section: B Predictions For Charged Lfvmentioning

confidence: 99%

Big-bang nucleosynthesis and leptogenesis in the CMSSM

et al. 2018

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We have studied the constrained minimal supersymmetric standard model with three right-handed neutrinos, and investigated whether there still is a parameter region consistent with all experimental data/ limits such as the baryon asymmetry of the Universe, the dark matter abundance and the lithium primordial abundance. Using Casas-Ibarra parametrization, we have found a very narrow parameter space of the complex orthogonal matrix elements where the lightest slepton can have a long lifetime, which is necessary for solving the lithium problem. We have studied three cases of the right-handed neutrino mass ratioWe have obtained the mass range of the lightest right-handed neutrino that lies between 10 9 and 10 11 GeV. The important result is that its upper limit is derived by solving the lithium problem and the lower limit comes from leptogenesis. Lepton flavor violating decays such as μ → eγ in our scenario are in the reach of MEG-II and Mu3e.

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Simplified models for exotic BSM searches

Cited by 19 publications

References 59 publications

SModelS v1.2: Long-lived particles, combination of signal regions, and other novelties

SModelS v1.2: Long-lived particles, combination of signal regions, and other novelties

Constraining new physics with searches for long-lived particles: Implementation into SModelS

Big-bang nucleosynthesis and leptogenesis in the CMSSM

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