Bayes factor of the ATLAS diphoton excess: using Bayes factors to understand anomalies at the LHC

Andrew Fowlie

doi:10.1140/epjp/i2017-11340-1

Bayes factor of the ATLAS diphoton excess: using Bayes factors to understand anomalies at the LHC

Andrew Fowlie

School of Physics and Astronomy

Research output: Contribution to journal › Article › Research › peer-review

4 Citations (Scopus)

Abstract

As an example of using Bayesian statistics in searches for new physics at the LHC, we present a calculation of Bayes factors for the erstwhile digamma resonance (Ϝ) versus the SM in light of ATLAS 8 TeV 20.3/fb, 13 TeV 3.2/fb and 13 TeV 15.4/fb data. We matched, wherever possible, parameterisations in the ATLAS analysis. We calculated that the plausibility of the Ϝversus the Standard Model increased by about eight in light of the 8 TeV 20.3/fb and 13 TeV 3.2/fb ATLAS data, somewhat justifying interest in Ϝ models. All told, however, in light of 15.4/fb data, the Ϝ was disfavoured by about 0.7. We argue that Bayes factors could play an important role in future anomalies by clarifying the plausibility of new physics and sidestepping look-elsewhere effects.

Original language	English
Article number	46
Number of pages	7
Journal	The European Physical Journal Plus
Volume	132
Issue number	1
DOIs	https://doi.org/10.1140/epjp/i2017-11340-1
Publication status	Published - 1 Jan 2017

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10.1140/epjp/i2017-11340-1

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title = "Bayes factor of the ATLAS diphoton excess: using Bayes factors to understand anomalies at the LHC",

abstract = "As an example of using Bayesian statistics in searches for new physics at the LHC, we present a calculation of Bayes factors for the erstwhile digamma resonance (Ϝ) versus the SM in light of ATLAS 8 TeV 20.3/fb, 13 TeV 3.2/fb and 13 TeV 15.4/fb data. We matched, wherever possible, parameterisations in the ATLAS analysis. We calculated that the plausibility of the Ϝversus the Standard Model increased by about eight in light of the 8 TeV 20.3/fb and 13 TeV 3.2/fb ATLAS data, somewhat justifying interest in Ϝ models. All told, however, in light of 15.4/fb data, the Ϝ was disfavoured by about 0.7. We argue that Bayes factors could play an important role in future anomalies by clarifying the plausibility of new physics and sidestepping look-elsewhere effects.",

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AB - As an example of using Bayesian statistics in searches for new physics at the LHC, we present a calculation of Bayes factors for the erstwhile digamma resonance (Ϝ) versus the SM in light of ATLAS 8 TeV 20.3/fb, 13 TeV 3.2/fb and 13 TeV 15.4/fb data. We matched, wherever possible, parameterisations in the ATLAS analysis. We calculated that the plausibility of the Ϝversus the Standard Model increased by about eight in light of the 8 TeV 20.3/fb and 13 TeV 3.2/fb ATLAS data, somewhat justifying interest in Ϝ models. All told, however, in light of 15.4/fb data, the Ϝ was disfavoured by about 0.7. We argue that Bayes factors could play an important role in future anomalies by clarifying the plausibility of new physics and sidestepping look-elsewhere effects.

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Bayes factor of the ATLAS diphoton excess: using Bayes factors to understand anomalies at the LHC

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ARC Centre of Excellence for Particle Physics at the Tera-Scale

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Bayes factor of the ATLAS diphoton excess: using Bayes factors to understand anomalies at the LHC

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ARC Centre of Excellence for Particle Physics at the Tera-Scale

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