• Corpus ID: 117066810

On hypothesis testing, trials factor, hypertests and the BumpHunter

@article{Choudalakis2011OnHT,
  title={On hypothesis testing, trials factor, hypertests and the BumpHunter},
  author={Georgios Choudalakis},
  journal={arXiv: Data Analysis, Statistics and Probability},
  year={2011}
}
  • G. Choudalakis
  • Published 2 January 2011
  • Physics
  • arXiv: Data Analysis, Statistics and Probability
A detailed presentation of hypothesis testing is given. The "look elsewhere" effect is illustrated, and a treatment of the trials factor is proposed with the introduction of hypothesis hypertests. An example of such a hypertest is presented, named BumpHunter, which is used in the recent ATLAS dijet resonance search, and in an earlier version in the CDF Global Search, to look for exotic phenomena in high energy physics. As a demonstration, the BumpHunter is used to address Problem 1 of the Banff… 
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104 Citations
Highly Influential Citations
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References

SHOWING 1-10 OF 12 REFERENCES
Trial factors for the look elsewhere effect in high energy physics
When searching for a new resonance somewhere in a possible mass range, the significance of observing a local excess of events must take into account the probability of observing such an excess…
Sleuth: A quasi-model-independent search strategy for new physics
How can we search for new physics when we only vaguely know what it should look like? How can we perform an unbiased yet data-driven search? If we see apparently anomalous events in our data, how can…
Global search for new physics with 2.0 fb(-1) at CDF
Data collected in run II of the Fermilab Tevatron are searched for indications of new electroweak-scale physics. Rather than focusing on particular new physics scenarios, CDF data are analyzed for…
Sleuth at CDF, a quasi-model-independent search for new electroweak scale physics
These proceedings describe Sleuth, a quasi-model-independent search strategy targeting new electroweak scale physics, and its application to 927 pb^-1 of CDF II data. Exclusive final states are…
Model-independent and quasi-model-independent search for new physics at CDF
Data collected in run II of the Fermilab Tevatron are searched for indications of new electroweak scale physics. Rather than focusing on particular new physics scenarios, CDF data are analyzed for…
A General search for new phenomena in ep scattering at HERA
A model-independent search for deviations from the Standard Model prediction has been performed in e+p and e–p collisions at HERA using H1 data. All experimentally measurable event topologies…
Search for new particles in two-jet final states in 7 TeV proton-proton collisions with the ATLAS detector at the LHC.
TLDR
A search for new heavy particles manifested as resonances in two-jet final states in 7 TeV proton-proton collisions by the LHC is presented, extending the reach of previous experiments.
The RooStats Project
TLDR
This research presents a meta-analysis of proton-proton collisions at CERN using a platform that combines X-ray diffraction, radiolysis, and high-resolution 3D image analysis to characterize the geometry of the nucleus.
ROOT — An object oriented data analysis framework
Search for New Particles in Two-Jet Final S tates in 7 TeV Proton-Proton Collisions with the ATLAS Detector at the LHC
  • Physical Review Letters 105no. 16, (Oct., 2010) 161801, arXiv:1008.2461 [hep-ex].
  • 2010
...
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