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Updated: Sep 29, 2025

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Setting Limits on Supersymmetry Using Simplified Models
Published on: November 15, 2013
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Search for strongly interacting massive particles generating trackless jets in proton-proton collisions at
A Tumasyan1, W Adam2, T Bergauer2
1Yerevan Physics Institute, Yerevan, Armenia.
Summary
This study searched for strongly interacting massive particles (SIMPs) as dark matter candidates using the CMS detector. No excess events were found, excluding SIMPs up to 100 GeV.
Area of Science:
- Particle Physics
- Cosmology
- High-Energy Physics
Background:
- Dark matter constitutes a significant portion of the universe's mass.
- Strongly Interacting Massive Particles (SIMPs) are a theoretical dark matter candidate.
- The CMS detector at the Large Hadron Collider (LHC) is a key instrument for particle physics research.
Purpose of the Study:
- To search for evidence of SIMP dark matter production at the LHC.
- To constrain the parameter space of SIMP dark matter models.
- To develop and apply novel analysis techniques for dark matter searches.
Main Methods:
- Utilizing proton-proton collision data from the CMS detector, collected in 2016 with an integrated luminosity of 16.1 fb⁻¹.
- Searching for pairs of jets without tracks, a predicted signature of SIMP pair production.
- Employing the energy fraction of charged particles within jets as a primary discriminant against multijet background.
- Estimating remaining background processes directly from collision data.
Main Results:
- No significant excess of events beyond the expected background was observed.
- The search excluded SIMP dark matter models with masses up to 100 GeV.
- Sensitivity was extended to explore higher SIMP mass ranges.
Conclusions:
- The current data sets a limit on the existence of SIMP dark matter within the studied mass range.
- The analysis demonstrates the effectiveness of jet-based discriminators for background suppression in dark matter searches.
- Further exploration towards higher masses is warranted for more comprehensive SIMP searches.
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