A novel approach to the bias-variance problem in bump hunting
This study explores various data-driven methods for performing background-model selection, and for assigning uncertainty on the signal-strength estimator that arises due to the choice of background model. The performance of these methods is evaluated in the context of several realistic example probl...
Main Author: | Williams, Michael (Contributor) |
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Other Authors: | Massachusetts Institute of Technology. Laboratory for Nuclear Science (Contributor) |
Format: | Article |
Language: | English |
Published: |
IOP Publishing,
2019-03-01T16:45:18Z.
|
Subjects: | |
Online Access: | Get fulltext |
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