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Search for dark matter mediators using a Trigger-Object Level Analysis with the ATLAS detector

Experiments at the Large Hadron Collider (LHC) have been collecting an unprecedented amount of data with which we may hopefully be becoming sensitive to new physics. One such search is a dijet resonance search, where a resonance may be an indicator of a dark matter mediator. However, the intensifyin...

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Detalles Bibliográficos
Autor principal: Antel, Claire
Lenguaje:eng
Publicado: 2018
Materias:
Acceso en línea:http://cds.cern.ch/record/2642407
Descripción
Sumario:Experiments at the Large Hadron Collider (LHC) have been collecting an unprecedented amount of data with which we may hopefully be becoming sensitive to new physics. One such search is a dijet resonance search, where a resonance may be an indicator of a dark matter mediator. However, the intensifying luminosity at the LHC has lead to high trigger thresholds that throttle the search at mediator masses below 1 TeV using conventional data taking techniques. A technique that is new in ATLAS, known as the Trigger-Object Level Analysis (TLA), has been developed to lift this limitation. The technique achieves this by saving only final-state objects at trigger level, instead of full detector information, thus occupying a tiny amount of bandwidth and enabling the use of lower threshold triggers to record a high rate of events. I will be presenting the most recent results for the search for dark matter mediators and hadronic dijet resonances using this technique.