Mark D. Goodsell
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View article: Experimental Particle Physics Priorities 2025: A String Phenomenology Perspective
Experimental Particle Physics Priorities 2025: A String Phenomenology Perspective Open
With the SNOWMASS 2021 process in the US and the on--going European Strategy Report 2025, the field of elementary particle physics is undergoing detailed community evaluation, and the experimental particle physics program, which requires s…
View article: Recasting the ATLAS search for displaced hadronic jets in the ATLAS calorimeter with additional jets or leptons using surrogate models
Recasting the ATLAS search for displaced hadronic jets in the ATLAS calorimeter with additional jets or leptons using surrogate models Open
This note describes the validation of a new form of re-interpretation material provided by an ATLAS search for hadronically-decaying neutral long-lived particles in association with jets or leptons, using the full Run-2 dataset. This refer…
View article: A joint explanation for the soft lepton and monojet LHC excesses in the wino-bino model
A joint explanation for the soft lepton and monojet LHC excesses in the wino-bino model Open
We present new recasts of the CMS Run 2 soft-leptons + missing energy analysis and the ATLAS Run 2 multijet + missing energy analysis. These analyses are relevant for probing the parameter space of electroweak-charged particles with compre…
View article: Monojets from compressed weak frustrated dark matter
Monojets from compressed weak frustrated dark matter Open
We extend the so-called hyperchargeless Higgs triplet model to include a weak triplet of Dirac fermions and a Dirac fermion X transforming trivially under the Standard Model gauge group. We are motivated in part by a collection of anomalie…
View article: Improving smuon searches with neural networks
Improving smuon searches with neural networks Open
We demonstrate that neural networks can be used to improve search strategies, over existing strategies, in LHC searches for light electroweak-charged scalars that decay to a muon and a heavy invisible fermion. We propose a new search invol…
View article: Improving smuon searches with Neural Networks
Improving smuon searches with Neural Networks Open
We demonstrate that neural networks can be used to improve search strategies, over existing strategies, in LHC searches for light electroweak-charged scalars that decay to a muon and a heavy invisible fermion. We propose a new search invol…
View article: Monojets from compressed weak frustrated dark matter
Monojets from compressed weak frustrated dark matter Open
We extend the so-called hyperchargeless Higgs triplet model to include a weak triplet of Dirac fermions and a Dirac fermion $X$ transforming trivially under the Standard Model gauge group. We are motivated in part by a collection of anomal…
View article: HackAnalysis 2: A powerful and hackable recasting tool
HackAnalysis 2: A powerful and hackable recasting tool Open
This is the manual for the version 2 of HackAnalysis, a powerful, lightweight, versatile and, most importantly, hackable, recasting tool. New features in this version include: compressed event format storage for ultra-fast development; int…
View article: $$M_W$$ in string derived Z$$^\prime $$ models
$$M_W$$ in string derived Z$$^\prime $$ models Open
We introduce a phenomenological model for a string-derived $$Z^\prime $$ scenario, and study its predictions for the mass of the W boson. In the process, we compare it to collider constraints for both pair-produced particles, Higgs bos…
View article: $M_W$ in String Derived $Z'$ Models
$M_W$ in String Derived $Z'$ Models Open
We introduce a phenomenological model for a string-derived $Z'$ scenario, and study its predictions for the mass of the W boson. In the process, we compare it to collider constraints for both pair-produced particles, Higgs boson properties…
View article: Active learning BSM parameter spaces
Active learning BSM parameter spaces Open
Active learning (AL) has interesting features for parameter scans of new models. We show on a variety of models that AL scans bring large efficiency gains to the traditionally tedious work of finding boundaries for BSM models. In the MSSM,…
View article: BSMArt: simple and fast parameter space scans
BSMArt: simple and fast parameter space scans Open
We introduce BSMArt, a python program for the exploration of parameter spaces of theories Beyond the Standard Model. Especially designed for use with the SARAH family of tools, it is also sufficiently flexible to be used with a wide variet…
View article: UFO 2.0 - The Universal Feynman Output format
UFO 2.0 - The Universal Feynman Output format Open
We present an update of the Universal FeynRules Output model format, commonly known as the UFO format, that is used by several automated matrix-element generators and high-energy physics software. We detail different features that have bee…
View article: Higgs-mass prediction in the NMSSM with heavy BSM particles
Higgs-mass prediction in the NMSSM with heavy BSM particles Open
We address the prediction for the mass of the SM-like Higgs boson in NMSSM scenarios where all BSM particles, including the singlets, have masses at the TeV scale. We provide a full one-loop computation of the matching condition for the qu…
View article: Recasting LHC searches for long-lived particles with MadAnalysis 5
Recasting LHC searches for long-lived particles with MadAnalysis 5 Open
We present an extension of the simplified fast detector simulator of MadAnalysis 5 – the SFS framework – with methods making it suitable for the treatment of long-lived particles of any kind. This allows users to make use of intuitive Pyth…
View article: Higgs-mass prediction in the NMSSM with heavy BSM particles
Higgs-mass prediction in the NMSSM with heavy BSM particles Open
We address the prediction for the mass of the SM-like Higgs boson in NMSSM scenarios where all BSM particles, including the singlets, have masses at the TeV scale. We provide a full one-loop computation of the matching condition for the qu…
View article: Active learning BSM parameter spaces
Active learning BSM parameter spaces Open
Active learning (AL) has interesting features for parameter scans of new models. We show on a variety of models that AL scans bring large efficiency gains to the traditionally tedious work of finding boundaries for BSM models. In the MSSM,…
View article: Long dead winos
Long dead winos Open
We describe a new code and approach using particle-level information to recast the recent CMS disappearing track searches including all Run 2 data. Notably, the simulation relies on knowledge of the detector geometry, and we also include t…
View article: Expectation management
Expectation management Open
We consider the application of a Fleischer–Jegerlehner-like treatment of tadpoles to the calculation of neutral scalar masses (including the Higgs) in general theories beyond the Standard Model. This is especially useful when the theory co…
View article: New signatures of Dirac neutralino dark matter
New signatures of Dirac neutralino dark matter Open
Supersymmetric dark matter has been studied extensively in the context of the MSSM, where gauginos have Majorana masses. Introducing Dirac gaugino masses, we obtain an enriched phenomenology from which considerable differences in, e.g., LH…
View article: Higgs-mass predictions in the MSSM and beyond
Higgs-mass predictions in the MSSM and beyond Open
Predictions for the Higgs masses are a distinctive feature of supersymmetric extensions of the Standard Model, where they play a crucial role in constraining the parameter space. The discovery of a Higgs boson and the remarkably precise me…
View article: Report on 2007.08498v2
Report on 2007.08498v2 Open
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) wit…
View article: Report on 2007.08498v1
Report on 2007.08498v1 Open
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) wit…
View article: Electroweak-ino benchmark points from arXiv:2007.08498, Minimal Dirac Gaugino Model
Electroweak-ino benchmark points from arXiv:2007.08498, Minimal Dirac Gaugino Model Open
Benchmark points from the paper "Constraining Electroweakinos in the Minimal Dirac Gaugino Model": - Input files for spectrum generation with SPheno (https://dx.doi.org/10.5281/zenodo.3945999) - Input files in SUSY Les Houches Accord (SLHA…