Characterisation and mitigation of beam-induced backgrounds observed in the ATLAS detector during the 2011 proton-proton run
ATLAS Collaboration
TL;DR
The paper investigates beam-induced backgrounds observed by ATLAS during 2011, identifying primary sources such as tertiary halo and beam-gas interactions near the LHC. It develops and validates background tagging tools using the Pixel detector, muon system, and calorimeters, complemented by dedicated BIB simulations (SixTrack/Fluka) to understand spatial and temporal signatures. Trigger-rate monitoring (BCM and L1 triggers) reveals correlations with vacuum conditions and ghost charge, while pixel-based tagging and muon rejection techniques provide high-purity background identification. The jet cleaning framework, including a data-driven monojet analysis, demonstrates that effective BIB cleansing is critical for preventing fake jets and ensuring reliable searches for new physics.
Abstract
This paper presents a summary of beam-induced backgrounds observed in the ATLAS detector and discusses methods to tag and remove background contaminated events in data. Trigger-rate based monitoring of beam-related backgrounds is presented. The correlations of backgrounds with machine conditions, such as residual pressure in the beam-pipe, are discussed. Results from dedicated beam-background simulations are shown, and their qualitative agreement with data is evaluated. Data taken during the passage of unpaired, i.e. non-colliding, proton bunches is used to obtain background-enriched data samples. These are used to identify characteristic features of beam-induced backgrounds, which then are exploited to develop dedicated background tagging tools. These tools, based on observables in the Pixel detector, the muon spectrometer and the calorimeters, are described in detail and their efficiencies are evaluated. Finally an example of an application of these techniques to a monojet analysis is given, which demonstrates the importance of such event cleaning techniques for some new physics searches.
