HEPfit: a code for the combination of indirect and direct constraints on high energy physics models
書誌事項
- 公開日
- 2020-05
- 資源種別
- journal article
- 権利情報
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- https://creativecommons.org/licenses/by/4.0
- https://creativecommons.org/licenses/by/4.0
- DOI
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- 10.1140/epjc/s10052-020-7904-z
- 10.3204/pubdb-2020-02403
- 10.48550/arxiv.1910.14012
- 公開者
- Springer Science and Business Media LLC
この論文をさがす
説明
<jats:title>Abstract</jats:title><jats:p> is a flexible open-source tool which, given the Standard Model or any of its extensions, allows to (i) fit the model parameters to a given set of experimental observables; (ii) obtain predictions for observables. can be used either in Monte Carlo mode, to perform a Bayesian Markov Chain Monte Carlo analysis of a given model, or as a library, to obtain predictions of observables for a given point in the parameter space of the model, allowing to be used in any statistical framework. In the present version, around a thousand observables have been implemented in the Standard Model and in several new physics scenarios. In this paper, we describe the general structure of the code as well as models and observables implemented in the current release.</jats:p>
収録刊行物
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- The European Physical Journal C
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The European Physical Journal C 80 (5), 456-, 2020-05
Springer Science and Business Media LLC
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キーワード
- correction: oblique
- new physics
- FOS: Physical sciences
- statistical analysis: Bayesian
- Higgs particle: doublet: 2
- QC770-798
- Astrophysics
- 530
- programming
- manual
- Monte Carlo: Markov chain
- High Energy Physics - Experiment
- QB460-466
- High Energy Physics - Phenomenology
- High Energy Physics - Experiment (hep-ex)
- High Energy Physics - Phenomenology (hep-ph)
- effective field theory
- Nuclear and particle physics. Atomic energy. Radioactivity
- [PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]
- operator: dimension: 6
- [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]
- info:eu-repo/classification/ddc/530
- numerical calculations
詳細情報 詳細情報について
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- CRID
- 1361694371019464320
-
- ISSN
- 14346052
- 14346044
-
- HANDLE
- 10261/229874
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- 資料種別
- journal article
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- データソース種別
-
- Crossref
- KAKEN
- OpenAIRE
