ATLAS releases comprehensive review of supersymmetric dark matter

22 August 2023 | By

Physics,ATLAS
Figure 1: The colour scale shows the fraction of the supersymmetry models excluded by the ATLAS Run-2 searches, for various different supersymmetric particles (horizontal axis) as a function of each particle’s mass (vertical axis). (Image: ATLAS Collaboration/CERN)

If new particles are out there, the Large Hadron Collider is the ideal place to search for them! The theory of Supersymmetry proposes the existence of a whole new family of partner particles for each of the known fundamental particles. While this might seem extravagant, these partner particles could elegantly address various holes in current scientific knowledge – such as the source of mysterious dark matter, the “unnaturally” low mass of the observed Higgs boson, the anomalous way that the muon spins, and even the relationship between the various forces of nature.

Physics,ATLAS
Figure 2: The fraction of models excluded by ATLAS as a function of the dark-matter candidate mass (horizontal axis) and the expected dark-matter nucleon spin-independent cross section. Models above the dashed line are excluded by the dark matter direct-detection experiment LUX-ZEPLIN (LZ). (Image: ATLAS Collaboration/CERN)

But if these supersymmetric particles exist, where might they be hiding?

Physicists analysing data from the ATLAS experiment have been trying to find out. The increased energy and the larger collision rate provided by Run 2 of the LHC (2015-2018) allowed them to search for some of the most elusive types of supersymmetric particles – those that would be produced only rarely through the “weak” nuclear force or the electromagnetic force. The lightest of these weakly-interacting supersymmetric particles could be the source of the dark matter.

In new results presented today, the ATLAS Collaboration provides its most comprehensive overview of the searches for weakly-interacting supersymmetric particles. By developing new search algorithms and exploiting machine learning techniques, researchers have probed deep into this difficult-to-reach territory.


The ATLAS Collaboration has set stringent constraints on supersymmetric dark-matter particles. If these particles exist, they don't have many places left to hide.


Physicists pulled together constraints from eight different ATLAS papers, each seeking evidence for supersymmetric particles in a different way. The combined power and sensitivity of the different search strategies allowed researchers to study tens of thousands of different supersymmetric models, each with different predictions about the masses of the new supersymmetric particles.

Physics,ATLAS
Figure 3: The points show the distribution of supersymmetry models as a function of the relic dark matter density (vertical axis) and the dark matter candidate mass (horizontal axis) before and after constraints from the ATLAS Run-2 supersymmetry searches. (Image: ATLAS Collaboration/CERN)

These ATLAS searches have unprecedented sensitivity, and can explore a wide range of possible supersymmetric-particle masses (see Figure 1). ATLAS physicists looked for evidence of “lab-made” dark matter – that is, dark matter created in LHC collisions. Their searches are found to be very complementary to other experiments that are seeking natural, “relic” dark matter left over from the Big Bang (see Figure 2). Unlike collider searches, which don’t need to see the dark matter to infer its presence, the latter experiments rely on the dark-matter particles having a sufficiently large probability to hit normal materials and so to be detected.

One of the most consequential findings is that some previously-favoured regions for masses – where the dark-matter particle has about half the mass of the Z boson or the Higgs boson – have been almost totally excluded (see Figure 3). While possible hiding-places are being systematically reduced, plenty of models remain stubbornly evasive. Improving the sensitivity of ATLAS searches to these models will require more collision data and further clever developments in search strategy.


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