BAT.jl: A Julia-Based Tool for Bayesian Inference

Schulz, O.; Beaujean, Frederik; Caldwell, A.; Grunwald, Cornelius; Hafych, Vasyl; Kroeninger, K.; Cagnina, Salvatore La; Röhrig, Lars; Shtembari, L.

doi:10.1007/s42979-021-00626-4

Cited by 29 publications

(22 citation statements)

References 42 publications

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“…• BAT.jl, the Bayesian Analysis Toolkit recently rewritten in the Julia language, is a multipurpose software package for Bayesian statistical inference [32]. It is possible to interface to likelihood functions implemented in languages other than Julia.…”

Section: Brief Guide To Commonly Used Statistical Toolsmentioning

confidence: 99%

Publishing statistical models: Getting the most out of particle physics experiments

et al. 2022

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The statistical models used to derive the results of experimental analyses are of incredible scientific value and are essential information for analysis preservation and reuse. In this paper, we make the scientific case for systematically publishing the full statistical models and discuss the technical developments that make this practical. By means of a variety of physics cases - including parton distribution functions, Higgs boson measurements, effective field theory interpretations, direct searches for new physics, heavy flavor physics, direct dark matter detection, world averages, and beyond the Standard Model global fits - we illustrate how detailed information on the statistical modelling can enhance the short- and long-term impact of experimental results.

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Section: Brief Guide To Commonly Used Statistical Toolsmentioning

confidence: 99%

Publishing statistical models: Getting the most out of particle physics experiments

et al. 2022

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“…We use EFTfitter [28], based on the Bayesian Analysis Toolkit BAT.jl package [29], to perform the template fit in the context of Bayesian statistics. A flat prior is set for f SM , and we construct a pseudo-dataset in the 4 final state, according to the O spin−on template.…”

Section: Template Fit and Extrapolationsmentioning

confidence: 99%

Observing $$t{\bar{t}}Z$$ spin correlations at the LHC

2021

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Spin correlations in the production of top-antitop quark ($$t{\bar{t}}$$ t t ¯ ) pairs at the Large Hadron Collider (LHC) are an experimentally verified prediction of the Standard Model. In this paper, we compute the full spin density matrix for $$t{\bar{t}}Z$$ t t ¯ Z production at next-to-leading order precision in QCD, for center-of-mass energies of 13 and 14 $$\text {TeV}$$ TeV . We find that the additional emission of a Z boson leads to significantly different spin correlations with respect to the $$t{\bar{t}}$$ t t ¯ case, and induces small longitudinal polarisations of the top quarks. We further propose an analysis strategy that could lead to the observation of spin correlations in $$t{\bar{t}}Z$$ t t ¯ Z events at the end of Run 3 of the LHC, or possibly earlier by combining the ATLAS and CMS datasets. In addition, we show that the pure angular information contained in the spin density matrix provides novel constraints on the dimension-6 effective field theory operators relevant to the t-Z interaction, without any reference to the total production rates.

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“…We use EFTfitter [27], based on the Bayesian Analysis Toolkit BAT.jl package [28], to perform the template fit in the context of Bayesian statistics. A flat prior is set for f SM , and we construct a pseudo-dataset in the 4 final state, according to the O spin−on template.…”

Section: B Template Fit and Extrapolationsmentioning

confidence: 99%

Observing $t\bar{t}Z$ spin correlations at the LHC

Ravina,

Simpson,

Howarth

2021

Preprint

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Spin correlations in the production of top-antitop quark (t t) pairs at the Large Hadron Collider (LHC) are an experimentally verified prediction of the Standard Model. In this paper, we compute the full spin density matrix for t tZ production at next-to-leading order precision in QCD, for centerof-mass energies of 13 and 14 TeV. We find that the additional emission of a Z boson leads to significantly different spin correlations with respect to the t t case, and induces small longitudinal polarisations of the top quarks. We further propose an analysis strategy that could lead to the observation of spin correlations in t tZ events at the end of Run 3 of the LHC, or possibly earlier by combining the ATLAS and CMS datasets. In addition, we show that the pure angular information contained in the spin density matrix provides novel constraints on the dimension-6 effective field theory (EFT) operators relevant to the t-Z interaction, without any reference to the total production rates. CONTENTSReferences 10

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BAT.jl: A Julia-Based Tool for Bayesian Inference

Cited by 29 publications

References 42 publications

Publishing statistical models: Getting the most out of particle physics experiments

Publishing statistical models: Getting the most out of particle physics experiments

Observing $$t{\bar{t}}Z$$ spin correlations at the LHC

Observing $t\bar{t}Z$ spin correlations at the LHC

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