Imperial College London
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ProfessorRobertoTrotta

Faculty of Natural Sciences, Department of Physics

Visiting Professor
 
 
 
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Contact

 

+44 (0)20 7594 7793r.trotta Website CV

 
 
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Assistant

 

Mrs Sheila Ekudo +44 (0)20 7594 2086

 
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Location

 

1009Blackett LaboratorySouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Bridges:2011:10.1007/JHEP03(2011)012,
author = {Bridges, M and Cranmer, K and Feroz, F and Hobson, M and Ruiz, de Austri R and Trotta, R},
doi = {10.1007/JHEP03(2011)012},
journal = {Journal of High Energy Physics},
title = {A coverage study of the CMSSM based on ATLAS sensitivity using fast neural networks techniques},
url = {http://dx.doi.org/10.1007/JHEP03(2011)012},
volume = {2011},
year = {2011}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - We assess the coverage properties of confidence and credible intervals on the CMSSM parameter space inferred from a Bayesian posterior and the profile likelihood based on an ATLAS sensitivity study. In order to make those calculations feasible, we introduce a new method based on neural networks to approximate the mapping between CMSSM parameters and weak-scale particle masses. Our method reduces the computational effort needed to sample the CMSSM parameter space by a factor of ~ 104 with respect to conventional techniques. We find that both the Bayesian posterior and the profile likelihood intervals can significantly over-cover and identify the origin of this effect to physical boundaries in the parameter space. Finally, we point out that the effects intrinsic to the statistical procedure are conated with simplifications to the likelihood functions from the experiments themselves.
AU  - Bridges,M
AU  - Cranmer,K
AU  - Feroz,F
AU  - Hobson,M
AU  - Ruiz,de Austri R
AU  - Trotta,R
DO  - 10.1007/JHEP03(2011)012
PY  - 2011///
SN  - 1126-6708
TI  - A coverage study of the CMSSM based on ATLAS sensitivity using fast neural networks techniques
T2  - Journal of High Energy Physics
UR  - http://dx.doi.org/10.1007/JHEP03(2011)012
UR  - http://hdl.handle.net/10044/1/29719
VL  - 2011
ER  -
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