28 May 2017 to 2 June 2017
Queen's University
America/Toronto timezone
Welcome to the 2017 CAP Congress! / Bienvenue au congrès de l'ACP 2017!

POS-46 - SuperCDMS SNOLAB Data Acquisition System

31 May 2017, 18:16
15m
Queen's Athletics & Recreation Centre (ARC)

Queen's Athletics & Recreation Centre (ARC)

Poster (Student, Not in Competition) / Affiche (Étudiant(e), pas dans la compétition) Particle Physics / Physique des particules (PPD) PPD Poster Session | Session d'affiches PPD (9)

Speaker

Matthew Wilson (University of Toronto)

Description

The Super Cryogenic Dark Matter Search (SuperCDMS) will be one of the leading efforts to directly search for Weakly Interacting Massive Particles (WIMPs) at the low mass scale (below 10 GeV/$c^{2}$). The SuperCDMS SNOLAB data acquisition (DAQ) and trigger system will use the MIDAS (Maximum Integrated Data Acquisition System) program - a flexible, open source C++-based DAQ framework, with off-the-shelf computers and custom trigger electronics for the SNOLAB project. The DAQ will involve front-end and back-end computers which together retrieve data from the detectors through a three-level triggering process, as well as an additional cluster that performs environmental monitoring, data quality monitoring, and real-time data analysis. The design of the SuperCDMS SNOLAB DAQ is such that there is deadtime-free triggering with very low energy thresholds, and the ability to handle high event rates during calibration by allowing for two different modes of data-taking: normal (WIMP search) and calibration mode. The flexibility and customizability of the MIDAS framework allows for the SuperCDMS SNOLAB DAQ to incorporate a mix of iZIP and high voltage (HV) detectors simultaneously, and provides easy scalability. Thus the SuperCDMS SNOLAB DAQ is a unified system capable of use for small-scale test facility experiments, intermediate-sized experiments such as CUTE and NEXUS, as well as the large-scale SNOLAB project.

Primary author

Matthew Wilson (University of Toronto)

Presentation materials

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