Gaussian process regression as a sustainable data-driven background estimate method at the (HL)-LHC
Abstract In this article, we evaluate the performance of a data-driven background estimate method based on Gaussian process regression (GPR). A realistic background spectrum from a search conducted by CMS is considered, where a large sub-region below the trigger threshold is included. It is found th...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-08-01
|
| Series: | European Physical Journal C: Particles and Fields |
| Online Access: | https://doi.org/10.1140/epjc/s10052-025-14574-3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|