187 citations · 1.4k across the 21 of their papers we have counts for
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Bring the noise: exact inference from noisy simulations in collider physics
Christopher Chang, Benjamin Farmer, Andrew Fowlie +1
We rely on Monte Carlo (MC) simulations to interpret searches for new physics at the Large Hadron Collider (LHC) and elsewhere. These simulations result in noisy and approximate es…
Thermal WIMPs and the Scale of New Physics: Global Fits of Dirac Dark Matter Effective Field Theories
The GAMBIT Collaboration, Peter Athron, Neal Avis Kozar +24
We assess the status of a wide class of WIMP dark matter (DM) models in light of the latest experimental results using the global fitting framework . We perform a…
A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications
The DarkMachines High Dimensional Sampling Group, Csaba Balázs, Melissa van Beekveld +18
Optimisation problems are ubiquitous in particle and astrophysics, and involve locating the optimum of a complicated function of many parameters that may be computationally expensi…
Simple and statistically sound recommendations for analysing physical theories
Shehu S. AbdusSalam, Fruzsina J. Agocs, Benjamin C. Allanach +72
Physical theories that depend on many parameters or are tested against data from many different experiments pose unique challenges to statistical inference. Many models in particle…
Combined collider constraints on neutralinos and charginos
The GAMBIT Collaboration, Peter Athron, Csaba Balázs +18
Searches for supersymmetric electroweakinos have entered a crucial phase, as the integrated luminosity of the Large Hadron Collider is now high enough to compensate for their weak…
Global analyses of Higgs portal singlet dark matter models using GAMBIT
The GAMBIT Collaboration, Peter Athron, Csaba Balázs +15
We present global analyses of effective Higgs portal dark matter models in the frequentist and Bayesian statistical frameworks. Complementing earlier studies of the scalar Higgs po…
Bayesian analysis and naturalness of (Next-to-)Minimal Supersymmetric Models
Peter Athron, Csaba Balazs, Benjamin Farmer +3
The Higgs boson discovery stirred interest in next-to-minimal supersymmetric models, due to the apparent fine-tuning required to accommodate it in minimal theories. To assess their…
Comparison of statistical sampling methods with ScannerBit, the GAMBIT scanning module
The GAMBIT Scanner Workgroup, :, Gregory D. Martinez +6
We introduce ScannerBit, the statistics and sampling module of the public, open-source global fitting framework GAMBIT. ScannerBit provides a standardised interface to different sa…
SpecBit, DecayBit and PrecisionBit: GAMBIT modules for computing mass spectra, particle decay rates and precision observables
The GAMBIT Models Workgroup, :, Peter Athron +12
We present the GAMBIT modules SpecBit, DecayBit and PrecisionBit. Together they provide a new framework for linking publicly available spectrum generators, decay codes and other pr…
Global fits of GUT-scale SUSY models with GAMBIT
The GAMBIT Collaboration, Peter Athron, Csaba Balázs +23
We present the most comprehensive global fits to date of three supersymmetric models motivated by grand unification: the Constrained Minimal Supersymmetric Standard Model (CMSSM),…
Status of the scalar singlet dark matter model
The GAMBIT Collaboration, Peter Athron, Csaba Balázs +24
One of the simplest viable models for dark matter is an additional neutral scalar, stabilised by a symmetry. Using the GAMBIT package and combining results from four…
DarkBit: A GAMBIT module for computing dark matter observables and likelihoods
Torsten Bringmann, Jan Conrad, Jonathan M. Cornell +11
We introduce DarkBit, an advanced software code for computing dark matter constraints on various extensions to the Standard Model of particle physics, comprising both new native co…
ColliderBit: a GAMBIT module for the calculation of high-energy collider observables and likelihoods
Csaba Balázs, Andy Buckley, Lars A. Dal +12
We describe ColliderBit, a new code for the calculation of high energy collider observables in theories of physics beyond the Standard Model (BSM). ColliderBit features a generic i…
A global fit of the MSSM with GAMBIT
The GAMBIT Collaboration, Peter Athron, Csaba Balázs +22
We study the seven-dimensional Minimal Supersymmetric Standard Model (MSSM7) with the new GAMBIT software framework, with all parameters defined at the weak scale. Our analysis sig…
GAMBIT: The Global and Modular Beyond-the-Standard-Model Inference Tool
The GAMBIT Collaboration, Peter Athron, Csaba Balazs +29
We describe the open-source global fitting package GAMBIT: the Global And Modular Beyond-the-Standard-Model Inference Tool. GAMBIT combines extensive calculations of observables an…
A simple technique for combining simplified models and its application to direct stop production
James Barnard, Ben Farmer
The results of many LHC searches for supersymmetric particles are interpreted using simplified models, in which one fixes the masses and couplings of most sparticles then scans ove…
Bayesian naturalness of the CMSSM and CNMSSM
Doyoun Kim, Peter Athron, Csaba Balázs +2
The recent discovery of the 125.5 GeV Higgs boson at the LHC has fueled interest in the next-to-minimal supersymmetric standard model (NMSSM) as it may require less fine-tuning tha…
Natural gauge mediation with a bino NLSP at the LHC
James Barnard, Benjamin Farmer, Tony Gherghetta +1
Natural models of supersymmetry with a gravitino LSP provide distinctive signatures at the LHC. For a neutralino NLSP, sparticles can decay to two high energy photons plus missing…
Should we still believe in constrained supersymmetry?
Csaba Balázs, Andy Buckley, Daniel Carter +2
We calculate Bayes factors to quantify how the feasibility of the constrained minimal supersymmetric standard model (CMSSM) has changed in the light of a series of observations. Th…