
TL;DR
This paper calculates Bayes-factors to evaluate the plausibility of the ATLAS diphoton excess as a new resonance, providing a Bayesian perspective on the evolving experimental data.
Contribution
It introduces a Bayesian approach to assess the diphoton excess, avoiding issues with frequentist significance interpretation and updating the plausibility with new data.
Findings
Plausibility increased by about eight with early data.
Plausibility decreased to disfavor the excess after more data.
Bayesian analysis offers a different insight compared to traditional significance tests.
Abstract
We present a calculation of Bayes-factors for the digamma resonance () versus the SM in light of ATLAS 8 TeV 20.3/fb, 13 TeV 3.2/fb and 13 TeV 15.4/fb data, sidestepping any difficulties in interpreting significances in frequentist statistics. We matched, wherever possible, parameterisations in the ATLAS analysis. We calculated that the plausibility of the versus 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 models. All told, however, in light of 15.4/fb data, the was disfavoured by about 0.7.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
