Sparticles in Motion - getting to the line in compressed scenarios with the Recursive Jigsaw Reconstruction
Paul Jackson, Christopher Rogan, Marco Santoni

TL;DR
This paper introduces a novel analysis technique based on Recursive Jigsaw Reconstruction to improve the detection of compressed supersymmetric scenarios with small mass splittings, by decomposing events into observables that exploit initial state radiation.
Contribution
The paper develops a new set of kinematic observables using Recursive Jigsaw Reconstruction tailored for compressed supersymmetry searches, enhancing sensitivity to low-momentum decay products.
Findings
Effective in identifying compressed spectra with small mass splittings
Improves discrimination of signal from background in hadronic final states
Demonstrates potential for better detection of squark and gluino production
Abstract
The observation of light super-partners from a supersymmetric extension to the Standard Model is an intensely sought-after experimental outcome, providing an explanation for the stabilization of the electroweak scale and indicating the existence of new particles which could be consistent with dark matter phenomenology. For compressed scenarios, where sparticle spectra mass-splittings are small and decay products carry low momenta, dedicated techniques are required in all searches for supersymmetry. In this paper we suggest an approach for these analyses based on the concept of Recursive Jigsaw Reconstruction, decomposing each event into a basis of complementary observables, for cases where strong initial state radiation has sufficient transverse momentum to elicit the recoil of any final state sparticles. We introduce a collection of kinematic observables which can be used to probe…
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