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Abstract:
A search for dark matter particles, using events containing an imbalance in transverse momentum and one energetic low-multiplicity jet, is performed using data collected in proton-proton collisions with the CMS detector at a center-of-mass energy of 13 TeV. The analysis is based on a data set corresponding to an integrated luminosity of 138 fb$ ^{-1} $ collected from 2016-2018. This is the first search using the low-multiplicity jet signature at the LHC and supervised machine learning and data augmentation techniques are used to enhance signal sensitivity. No excess of events over the standard model background expectation is observed. Upper limits on the dark matter production cross sections in simplified models with vector and axial vector mediators are set at the 95% confidence level (CL). Mediator masses of up to $ \approx $ 4250 GeV are excluded at 95% CL for dark matter mass of $ \approx $ 100 GeV and mediator masses of up to $ \approx $ 3500 GeV are excluded at 95% CL for dark matter mass of $ \approx $ 550 GeV.
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