Speaker
Emily Smith
(Fermilab)
Description
This talk presents the latest results from searches for signatures targeting hidden valley models performed in proton-proton collision data recorded by CMS. These models propose new strong-like forces, sometimes called "dark QCD" which lead to composite dark matter in the form of "dark hadrons" that are difficult to search for and evade the usual collider dark matter searches. Evidence of these maodels can still be found in collider datasets by utilizing specific signatures, including semivisible jets, emerging jets, and soft unclustered energy patterns. These searches utilize boosted substructure techniques and machine learning algorithms to increase sensitivity and our ability to perform searches for these signatures.