Model-independent bounds on a light Higgs
By A. Azatov, Roberto Contino, J. Galloway. 2012
314 citations recorded by the source corpus.
A bstractWe present up-to-date constraints on a generic Higgs parameter space. An accurate assessment of these exclusions must take into account statistical, and potentially signal, fluctuations in the data currently taken at the LHC. For this, we have constructed a straightforward statistical method for making full use of the data that is publicly available. We show that, using the expected and observed exclusions which are quoted for each search channel, we can fully reconstruct likelihood profiles under very reasonable and simple assumptions. Even working with this somewhat limited information, we show that our method is sufficiently accurate to warrant its study and advocate its use over more naive prescriptions. Using this method, we can begin to narrow in on the remaining viable parameter space for a Higgs-like scalar state, and to ascertain the nature of any hints of new physics — Higgs or otherwise — appearing in the data.
Subfields: Artificial Intelligence, Nuclear and High Energy Physics
View Paper: https://www.semanticscholar.org/paper/c1aa5896239fc63f6b62a5a130763987abc07824
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In Artificial Intelligence
- Cms Collaboration
- Gudrun Heinrich
- Atlas Collaboration
- John Ellis
- T. You
- Veronica Sanz
- G. Panico
- N. Craig
In Nuclear and High Energy Physics
- Cms Collaboration
- Atlas Collaboration
- Gudrun Heinrich
- Fabio Maltoni
- M. Schönherr
- S. Höche
- F. Krauss
- R. Frederix
Citations in the corpus
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