Boosting likelihood learning with event reweighting
Abstract Extracting maximal information from experimental data requires access to the likelihood function, which however is never directly available for complex experiments like those performed at high energy colliders. Theoretical predictions are obtained in this context by Monte Carlo events, whic...
| Prif Awduron: | , , , |
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| Fformat: | Erthygl |
| Iaith: | English |
| Cyhoeddwyd: |
SpringerOpen
2024-03-01
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| Cyfres: | Journal of High Energy Physics |
| Pynciau: | |
| Mynediad Ar-lein: | https://doi.org/10.1007/JHEP03(2024)117 |