Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published April 2015 | Published
Journal Article Open

Performance of the NOνA Data Acquisition and Trigger Systems for the full 14 kT Far Detector

Abstract

The NOvA experiment uses a continuous, free-running, dead-timeless data acquisition system to collect data from the 14 kT far detector. The DAQ system readouts the more than 344,000 detector channels and assembles the information into an raw unfiltered high bandwidth data stream. The NOvA trigger systems operate in parallel to the readout and asynchronously to the primary DAQ readout/event building chain. The data driven triggering systems for NOvA are unique in that they examine long contiguous time windows of the high resolution readout data and enable the detector to be sensitive to a wide range of physics interactions from those with fast, nanosecond scale signals up to processes with long delayed coincidences between hits which occur at the tens of milliseconds time scale. The trigger system is able to achieve a true 100% live time for the detector, making it sensitive to both beam spill related and off-spill physics.

Additional Information

© 2015 Published under licence by IOP Publishing Ltd. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. The author acknowledges support for this research was carried out by the Fermilab scientific and technical staff. Fermilab is operated by Fermi Research Alliance, LC under Contract No. De-AC02-07CH11359 with the United States Department of Energy.

Attached Files

Published - jpconf15_664_082041.pdf

Files

jpconf15_664_082041.pdf
Files (10.3 MB)
Name Size Download all
md5:64e2c9d31960f183c4df3eb9d7d1ccfa
10.3 MB Preview Download

Additional details

Created:
August 20, 2023
Modified:
October 18, 2023