• Browse all
Search for strongly interacting massive particles generating trackless jets in proton-proton collisions at $\sqrt{s} = $ 13 TeV

The CMS collaboration
CMS-EXO-17-010, 2021.

Abstract (data abstract)
A search for dark matter in the form of strongly interacting massive particles (SIMPs) using the CMS detector at the LHC is presented. The SIMPs would be produced in pairs that manifest themselves as pairs of jets without tracks. The energy fraction of jets carried by charged particles is used as a key discriminator to suppress efficiently the large multijet background, and the remaining background is estimated directly from data. The search is performed using proton-proton collision data corresponding to an integrated luminosity of 16.1/fb, collected with the CMS detector in 2016. No significant excess of events is observed above the expected background. For the simplified dark matter model under consideration, SIMPs with masses up to 100 GeV are excluded and further sensitivity is explored towards higher masses. These are the first results from a search for the production of strongly interacting dark matter candidates at a collider.

  • Number of jets

    Data from Figure 1 (left)


    Distribution of the number of jets with pT > 30 GeV and |eta| < 5. The simulated QCD multijet background...

  • Jet ChF

    Data from Figure 1 (right)


    Distribution of the value of ChF of the two leading jets. The simulated QCD multijet background is compared with the...

  • MC closure

    Data from Figure 2


    The number of background events obtained from the 1- and 2-leg predictions using reconstructed objects in simulation, compared to the...

  • ChF data vs. prediction

    Data from Figure 3


    The number of background events obtained from the 1- and 2-leg predictions derived from data, together with the direct observation...

  • Limit

    Data from Figure 4


    The expected and observed 95% CL upper limits on the production cross section for SIMPs with masses between 1 and...

Loading Data...

Ask a Question

Your question will be emailed to those involved with the submission. Please mention the relevant table.

Please log in to HEPData to send a question.