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  • 1. Aprile, E.
    et al.
    Aalbers, J.
    Agostini, F.
    Alfonsi, M.
    Amaro, F. D.
    Anthony, M.
    Arneodo, F.
    Barrow, P.
    Baudis, L.
    Bauermeister, Boris
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Benabderrahmane, M. L.
    Berger, T.
    Breur, P. A.
    Brown, A.
    Brown, E.
    Bruenner, S.
    Bruno, G.
    Budnik, R.
    Buetikofer, L.
    Calvén, Jakob
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Cardoso, J. M. R.
    Cervantes, M.
    Cichon, D.
    Coderre, D.
    Colijn, A. P.
    Conrad, Jan
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Cussonneau, J. P.
    Decowski, M. P.
    de Perio, P.
    Di Gangi, P.
    Di Giovanni, A.
    Diglio, S.
    Eurin, G.
    Fei, J.
    Ferella, Alfredo D.
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Fieguth, A.
    Fulgione, W.
    Rosso, A. Gallo
    Di Galloway, A.
    Gao, F.
    Garbini, M.
    Geis, C.
    Goetzke, L. W.
    Greene, Z.
    Grignon, C.
    Hasterok, C.
    Hogenbirk, E.
    Itay, R.
    Kaminsky, B.
    Kazama, S.
    Kessler, G.
    Kish, A.
    Landsman, H.
    Lang, R. F.
    Lellouch, D.
    Levinson, L.
    Lin, Q.
    Lindemann, S.
    Lindner, M.
    Lombardi, F.
    Lopes, J. A. M.
    Manfredini, A.
    Maris, I.
    Undagoitia, T. Marrodan
    Masbou, J.
    Massoli, F. V.
    Masson, D.
    Mayani, D.
    Messina, M.
    Micheneau, K.
    Molinario, A.
    Morå, Knut
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Murra, M.
    Naganoma, J.
    Ni, K.
    Oberlack, U.
    Pakarha, P.
    Pelssers, Bart
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Persiani, R.
    Piastra, F.
    Pienaar, J.
    Pizzella, V.
    Piro, M. -C.
    Plante, G.
    Priel, N.
    Rauch, L.
    Reichard, S.
    Reuter, C.
    Rizzo, A.
    Rosendahl, S.
    Rupp, N.
    dos Santos, J. M. F.
    Sartorelli, G.
    Scheibelhut, M.
    Schindler, S.
    Schreiner, J.
    Schumann, M.
    Lavina, L. Scotto
    Selvi, M.
    Shagin, P.
    Silva, M.
    Simgen, H.
    Sivers, M. V.
    Stein, A.
    Thers, D.
    Tiseni, A.
    Trinchero, G.
    Tunnell, C.
    Vargas, M.
    Wang, H.
    Wang, Z.
    Wei, Y.
    Weinheimer, C.
    Wulf, J.
    Ye, J.
    Zhang, Y.
    Farmer, Benjamin
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Effective field theory search for high-energy nuclear recoils using the XENON100 dark matter detector2017In: Physical Review D: covering particles, fields, gravitation, and cosmology, ISSN 2470-0010, E-ISSN 2470-0029, Vol. 96, no 4, article id 042004Article in journal (Refereed)
    Abstract [en]

    We report on weakly interacting massive particles (WIMPs) search results in the XENON100 detector using a nonrelativistic effective field theory approach. The data from science run II (34 kg x 224.6 live days) were reanalyzed, with an increased recoil energy interval compared to previous analyses, ranging from (6.6-240) keV(nr). The data are found to be compatible with the background-only hypothesis. We present 90% confidence level exclusion limits on the coupling constants of WIMP-nucleon effective operators using a binned profile likelihood method. We also consider the case of inelastic WIMP scattering, where incident WIMPs may up-scatter to a higher mass state, and set exclusion limits on this model as well.

  • 2. Athron, Peter
    et al.
    Balazs, Csaba
    Bringmann, Torsten
    Buckley, Andy
    Chrzaszcz, Marcin
    Conrad, Jan
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Cornell, Jonathan M.
    Dal, Lars A.
    Dickinson, Hugh
    Edsjö, Joakim
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Farmer, Ben
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Gonzalo, Tomas E.
    Jackson, Paul
    Krislock, Abram
    Kvellestad, Anders
    Lundberg, Johan
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    McKay, James
    Mahmoudi, Farvah
    Martinez, Gregory D.
    Putze, Antje
    Raklev, Are
    Ripken, Joachim
    Rogan, Christopher
    Saavedra, Aldo
    Savage, Christopher
    Scott, Pat
    Seo, Seon-Hee
    Serra, Nicola
    Weniger, Christoph
    White, Martin
    Wild, Sebastian
    GAMBIT: the global and modular beyond-the-standard-model inference tool2017In: European Physical Journal C, ISSN 1434-6044, E-ISSN 1434-6052, Vol. 77, no 11, article id 784Article in journal (Refereed)
    Abstract [en]

    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 and likelihoods in particle and astroparticle physics with a hierarchical model database, advanced tools for automatically building analyses of essentially any model, a flexible and powerful system for interfacing to external codes, a suite of different statistical methods and parameter scanning algorithms, and a host of other utilities designed to make scans faster, safer and more easily-extendible than in the past. Here we give a detailed description of the framework, its design and motivation, and the current models and other specific components presently implemented in GAMBIT. Accompanying papers deal with individual modules and present flrst GAMBIT results. GAMBIT can be downloaded from gambit.hepforge.org.

  • 3. Athron, Peter
    et al.
    Balazs, Csaba
    Bringmann, Torsten
    Buckley, Andy
    Chrzaszcz, Marcin
    Conrad, Jan
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Cornell, Jonathan M.
    Dal, Lars A.
    Dickinson, Hugh
    Edsjö, Joakim
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Farmer, Ben
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Gonzalo, Tomas E.
    Jackson, Paul
    Krislock, Abram
    Kvellestad, Anders
    Lundberg, Johan
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Mckay, James
    Mahmoudi, Farvah
    Martinez, Gregory D.
    Putze, Antje
    Raklev, Are
    Ripken, Joachim
    Rogan, Christopher
    Saavedra, Aldo
    Savage, Christopher
    Scott, Pat
    Seo, Seon-Hee
    Serra, Nicola
    Weniger, Christoph
    White, Martin
    Wild, Sebastian
    GAMBIT: the global and modular beyond-the-standard-model inference tool2018In: European Physical Journal C, ISSN 1434-6044, E-ISSN 1434-6052, Vol. 78, no 2, article id 98Article in journal (Refereed)
    Abstract [en]

    In Ref. (GAMBIT Collaboration: Athron et. al., Eur. Phys. J. C. arXiv: 1705.07908, 2017) we introduced the global-fitting framework GAMBIT. In this addendum, we describe a new minor version increment of this package. GAMBIT 1.1 includes full support for Mathematica backends, which we describe in some detail here. As an example, we backend SUSYHD (Vega and Villadoro, JHEP 07: 159, 2015), which calculates the mass of the Higgs boson in the MSSM from effective field theory. We also describe updated likelihoods in PrecisionBit and DarkBit, and updated decay data included in DecayBit.

  • 4. Athron, Peter
    et al.
    Balazs, Csaba
    Bringmann, Torsten
    Buckley, Andy
    Chrzaszcz, Marcin
    Conrad, Jan
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Cornell, Jonathan M.
    Dal, Lars A.
    Edsjö, Joakim
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Farmer, Ben
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Jackson, Paul
    Krislock, Abram
    Kvellestad, Anders
    Mahmoudi, Farvah
    Martinez, Gregory D.
    Putze, Antje
    Raklev, Are
    Rogan, Christopher
    de Austri, Roberto Ruiz
    Saavedra, Aldo
    Savage, Christopher
    Scott, Pat
    Serra, Nicola
    Weniger, Christoph
    White, Martin
    Global fits of GUT-scale SUSY models with GAMBIT2017In: European Physical Journal C, ISSN 1434-6044, E-ISSN 1434-6052, Vol. 77, no 12, article id 824Article in journal (Refereed)
    Abstract [en]

    We present the most comprehensive global fits to date of three supersymmetric models motivated by grand unification: the Constrained Minimal Supersymmetric Standard Model (CMSSM), and its Non-Universal Higgs Mass generalisations NUHM1 and NUHM2. We include likelihoods from a number of direct and indirect dark matter searches, a large collection of electroweak precision and flavour observables, direct searches for supersymmetry at LEP and Runs I and II of the LHC, and constraints from Higgs observables. Our analysis improves on existing results not only in terms of the number of included observables, but also in the level of detail with which we treat them, our sampling techniques for scanning the parameter space, and our treatment of nuisance parameters. We show that stau co-annihilation is now ruled out in the CMSSM at more than 95% confidence. Stop co-annihilation turns out to be one of the most promising mechanisms for achieving an appropriate relic density of darkmatter in all threemodels, whilst avoiding all other constraints. We find high-likelihood regions of parameter space featuring light stops and charginos, making them potentially detectable in the near future at the LHC. We also show that tonne-scale direct detection will play a largely complementary role, probing large parts of the remaining viable parameter space, including essentially all models with multi-TeV neutralinos.

  • 5. Athron, Peter
    et al.
    Balazs, Csaba
    Farmer, Benjamin
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Fowlie, Andrew
    Harries, Dylan
    Kim, Doyoun
    Bayesian analysis and naturalness of (Next-to-)Minimal Supersymmetric Models2017In: Journal of High Energy Physics (JHEP), ISSN 1126-6708, E-ISSN 1029-8479, no 10, article id 160Article in journal (Refereed)
    Abstract [en]

    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 naturalness, we compare fine-tuning in a Z(3) conserving semi-constrained Next-to-Minimal Supersymmetric Standard Model (NMSSM) to the constrained MSSM (CMSSM). We contrast popular fine-tuning measures with naturalness priors, which automatically appear in statistical measures of the plausibility that a given model reproduces the weak scale. Our comparison shows that naturalness priors provide valuable insight into the hierarchy problem and rigorously ground naturalness in Bayesian statistics. For the CMSSM and semi-constrained NMSSM we demonstrate qualitative agreement between naturalness priors and popular fine tuning measures. Thus, we give a clear plausibility argument that favours relatively light superpartners.

  • 6. Athron, Peter
    et al.
    Balázs, Csaba
    Bringmann, Torsten
    Buckley, Andy
    Chrzaszcz, Marcin
    Conrad, Jan
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Cornell, Jonathan M.
    Dal, Lars A.
    Edsjö, Joakim
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Farmer, Ben
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Jackson, Paul
    Kahlhoefer, Felix
    Krislock, Abram
    Kvellestad, Anders
    McKay, James
    Mahmoudi, Farvah
    Martinez, Gregory D.
    Putze, Antje
    Raklev, Are
    Rogan, Christopher
    Saavedra, Aldo
    Savage, Christopher
    Scott, Pat
    Serra, Nicola
    Weniger, Christoph
    White, Martin
    Status of the scalar singlet dark matter model2017In: European Physical Journal C, ISSN 1434-6044, E-ISSN 1434-6052, Vol. 77, no 8, article id 568Article in journal (Refereed)
    Abstract [en]

    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 independent samplers, we present Bayesian and frequentist global fits of this model. We vary the singlet mass and coupling along with 13 nuisance parameters, including nuclear uncertainties relevant for direct detection, the local dark matter density, and selected quark masses and couplings. We include the dark matter relic density measured by Planck, direct searches with LUX, PandaX, SuperCDMS and XENON100, limits on invisible Higgs decays from the Large Hadron Collider, searches for high-energy neutrinos from dark matter annihilation in the Sun with IceCube, and searches for gamma rays from annihilation in dwarf galaxies with the Fermi-LAT. Viable solutions remain at couplings of order unity, for singlet masses between the Higgs mass and about 300 GeV, and at masses above 1 TeV. Only in the latter case can the scalar singlet constitute all of dark matter. Frequentist analysis shows that the low-mass resonance region, where the singlet is about half the mass of the Higgs, can also account for all of dark matter, and remains viable. However, Bayesian considerations show this region to be rather fine-tuned.

  • 7. Balázs, Csaba
    et al.
    Buckley, Andy
    Dal, Lars A.
    Farmer, Ben
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Jackson, Paul
    Krislock, Abram
    Kvellestad, Anders
    Stockholm University, Nordic Institute for Theoretical Physics (Nordita).
    Murnane, Daniel
    Putze, Antje
    Raklev, Are
    Rogan, Christopher
    Saavedra, Aldo
    Scott, Pat
    Weniger, Christoph
    White, Martin
    ColliderBit: a GAMBIT module for the calculation of high-energy collider observables and likelihoods2017In: European Physical Journal C, ISSN 1434-6044, E-ISSN 1434-6052, Vol. 77, no 11, article id 795Article in journal (Refereed)
    Abstract [en]

    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 interface to BSM models, a unique parallelised Monte Carlo event generation scheme suitable for large-scale supercomputer applications, and a number of LHC analyses, covering a reasonable range of the BSM signatures currently sought by ATLAS and CMS. ColliderBit also calculates likelihoods for Higgs sector observables, and LEP searches for BSM particles. These features are provided by a combination of new code unique to ColliderBit, and interfaces to existing state-of-the-art public codes. ColliderBit is both an important part of the GAMBIT framework for BSM inference, and a standalone tool for efficiently applying collider constraints to theories of new physics.

  • 8. Balázs, Csaba
    et al.
    Conrad, Jan
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Farmer, Ben
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Jacques, Thomas
    Li, Tong
    Meyer, Manuel
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC). Stanford University, USA.
    Queiroz, Farinaldo S.
    Sánchez-Conde, Miguel A.
    Stockholm University, Faculty of Science, Department of Physics. Universidad Autónoma de Madrid, Spain.
    Sensitivity of the Cherenkov Telescope Array to the detection of a dark matter signal in comparison to direct detection and collider experiments2017In: Physical Review D: covering particles, fields, gravitation, and cosmology, ISSN 2470-0010, E-ISSN 2470-0029, Vol. 96, no 8, article id 083002Article in journal (Refereed)
    Abstract [en]

    Imaging atmospheric Cherenkov telescopes (IACTs) that are sensitive to potential.-ray signals from dark matter (DM) annihilation above similar to 50 GeV will soon be superseded by the Cherenkov Telescope Array (CTA). CTA will have a point source sensitivity an order of magnitude better than currently operating IACTs and will cover a broad energy range between 20 GeV and 300 TeV. Using effective field theory and simplified models to calculate gamma-ray spectra resulting from DM annihilation, we compare the prospects to constrain such models with CTA observations of the Galactic center with current and near-future measurements at the Large Hadron Collider (LHC) and direct detection experiments. For DM annihilations via vector or pseudoscalar couplings, CTA observations will be able to probe DM models out of reach of the LHC, and, if DM is coupled to standard fermions by a pseudoscalar particle, beyond the limits of current direct detection experiments.

  • 9. Bernlochner, Florian U.
    et al.
    Chrzaszcz, Marcin
    Dal, Lars A.
    Farmer, Ben
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Jackson, Paul
    Kvellestad, Anders
    Mahmoudi, Farvah
    Putze, Antje
    Rogan, Christopher
    Scott, Pat
    Serra, Nicola
    Weniger, Christoph
    White, Martin
    FlavBit: a GAMBIT module for computing flavour observables and likelihoods2017In: European Physical Journal C, ISSN 1434-6044, E-ISSN 1434-6052, Vol. 77, no 11, article id 786Article in journal (Refereed)
    Abstract [en]

    Flavour physics observables are excellent probes of new physics up to very high energy scales. Here we present FlavBit, the dedicated flavour physics module of the global-fitting package GAMBIT. FlavBit includes custom implementations of various likelihood routines for a wide range of flavour observables, including detailed uncertainties and correlations associated with LHCb measurements of rare, leptonic and semileptonic decays of B and D mesons, kaons and pions. It provides a generalised interface to external theory codes such as Superlso, allowing users to calculate flavour observables in and beyond the Standard Model, and then test them in detail against all relevant experimental data. We describe FlavBit and its constituent physics in some detail, then give examples from supersymmetry and effective field theory illustrating how it can be used both as a standalone library for flavour physics, and within GAMBIT.

  • 10. Bringmann, Torsten
    et al.
    Conrad, Jan
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Cornell, Jonathan M.
    Dal, Lars A.
    Edsjö, Joakim
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Farmer, Ben
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Kahlhoefer, Felix
    Kvellestad, Anders
    Putze, Antje
    Savage, Christopher
    Scott, Pat
    Weniger, Christoph
    White, Martin
    Wild, Sebastian
    DarkBit: a GAMBIT module for computing dark matter observables and likelihoods2017In: European Physical Journal C, ISSN 1434-6044, E-ISSN 1434-6052, Vol. 77, no 12, article id 831Article in journal (Refereed)
    Abstract [en]

    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 code and interfaces to external packages. This release includes a dedicated signal yield calculator for gamma-ray observations, which significantly extends current tools by implementing a cascade decay Monte Carlo, as well as a dedicated likelihood calculator for current and future experiments (gamLike). This provides a general solution for studying complex particle physics models that predict dark matter annihilation to a multitude of final states. We also supply a direct detection package that models a large range of direct detection experiments (DDCalc), and provides the corresponding likelihoods for arbitrary combinations of spin-independent and spin-dependent scattering processes. Finally, we provide custom relic density routines along with interfaces to DarkSUSY, micrOMEGAs, and the neutrino telescope likelihood package nulike. DarkBit is written in the framework of the Global And Modular Beyond the StandardModel Inference Tool (GAMBIT), providing seamless integration into a comprehensive statistical fitting framework that allows users to explore new models with both particle and astrophysics constraints, and a con-sistent treatment of systematic uncertainties. In this paper we describe its main functionality, provide a guide to getting started quickly, and show illustrative examples for results obtained with DarkBit (both as a standalone tool and as a GAMBIT module). This includes a quantitative comparison between two of the main dark matter codes (DarkSUSY and micrOMEGAs), and application of DarkBit's advanced direct and indirect detection routines to a simple effective dark matter model.

  • 11. Martinez, Gregory D.
    et al.
    McKay, James
    Farmer, Ben
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Scott, Pat
    Roebber, Elinore
    Putze, Antje
    Conrad, Jan
    Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
    Comparison of statistical sampling methods with ScannerBit, the GAMBIT scanning module2017In: European Physical Journal C, ISSN 1434-6044, E-ISSN 1434-6052, Vol. 77, no 11, article id 761Article in journal (Refereed)
    Abstract [en]

    We introduce ScannerBit, the statistics and sampling module of the public, open-source global fitting framework GAMBIT. ScannerBit provides a standardised interface to different sampling algorithms, enabling the use and comparison of multiple computational methods for inferring profile likelihoods, Bayesian posteriors, and other statistical quantities. The current version offers random, grid, raster, nested sampling, differential evolution, Markov Chain Monte Carlo (MCMC) and ensemble Monte Carlo samplers. We also announce the release of a new standalone differential evolution sampler, Diver, and describe its design, usage and interface to ScannerBit. We subject Diver and three other samplers (the nested sampler MultiNest, the MCMC GreAT, and the native ScannerBit implementation of the ensemble Monte Carlo algorithm T-Walk) to a battery of statistical tests. For this we use a realistic physical likelihood function, based on the scalar singlet model of dark matter. We examine the performance of each sampler as a function of its adjustable settings, and the dimensionality of the sampling problem. We evaluate performance on four metrics: optimality of the best fit found, completeness in exploring the best-fit region, number of likelihood evaluations, and total runtime. For Bayesian posterior estimation at high resolution, T-Walk provides the most accurate and timely mapping of the full parameter space. For profile likelihood analysis in less than about ten dimensions, we find that Diver and MultiNest score similarly in terms of best fit and speed, outperforming GreAT and T-Walk; in ten or more dimensions, Diver substantially outperforms the other three samplers on all metrics.

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