TY  - JOUR
PB  - SciPost Foundation
DO  - 10.21468/SciPostPhys.18.3.080
TI  - Sparks in the dark
PY  - 2025/03/04
UR  - https://scipost.org/SciPostPhys.18.3.080
JF  - SciPost Physics
JA  - SciPost Phys.
VL  - 18
IS  - 3
SP  - 080
A1  - Gudnadottir, Olga Sunneborn
AU  - Gallén, Axel
AU  - Ripellino, Giulia
AU  - Heinrich, Jochen Jens
AU  - Sainudiin, Raazesh
AU  - Gonzalez Suarez, Rebeca
AB  - This study presents a novel method for the definition of signal regions in searches for new physics at collider experiments. By leveraging multi-dimensional histograms with precise arithmetic and utilizing the SparkDensityTree library, it is possible to identify high-density regions within the available phase space, potentially improving sensitivity to very small signals. Inspired by a search for dark mesons at the ATLAS experiment, CMS open data is used for this proof-of-concept intentionally targeting an already excluded signal. Signal regions are defined based on density estimates of signal and background. These preliminary regions align well with the physical properties of the signal while effectively rejecting background events.
ER  -

@Article{10.21468/SciPostPhys.18.3.080,
	title={{Sparks in the dark}},
	author={Olga Sunneborn Gudnadottir and Axel Gallén and Giulia Ripellino and Jochen J. Heinrich and Raazesh Sainudiin and Rebeca Gonzalez Suarez},
	journal={SciPost Phys.},
	volume={18},
	pages={080},
	year={2025},
	publisher={SciPost},
	doi={10.21468/SciPostPhys.18.3.080},
	url={https://scipost.org/10.21468/SciPostPhys.18.3.080},
}