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Publication Information
Title Streaming Mode Data Acquisition at Jefferson Lab
Abstract Over the last decade advances in electronics, computing, and software have changed the assumptions upon which data acquisition system designs for nuclear physics experiments are based. This is true at Jefferson Lab as well as at other laboratories. Looking forward to future experiments that are in various stages of planning we must reevaluate the near- and long-term course that the development of readout systems for Jefferson Lab experiments will take. One technique that is growing in favor in the data acquisition community is streaming mode readout, whereby detectors are continuously read out in parallel streams of data. The goal of this document is to discuss the advantages and disadvantages of streaming mode readout in the context of Jefferson Lab experiments and make comparisons to the status quo pipelined trigger mode. Additionally, this document will define streaming mode terminology and discuss use cases.
Author(s) Vardan Gyurjyan, David Abbott, Carl Timmer, Bryan Moffit, Ed Jastrzembski, William Gu, Graham Heyes, David Lawrence
Publication Date August 2021
Document Type Meeting, Proceedings
Primary Institution Thomas Jefferson National Accelerator Facility, Newport News
Affiliation Exp Nuclear Physics / Technical Support Groups / Data Acquisition
Funding Source Nuclear Physics (NP)
Proprietary? No
This publication conveys Technical Science Results
Document Numbers
JLAB Number: JLAB-CST-21-009 OSTI Number: 1973663
LANL Number: Other Number: DOE/OR/23177-5303
Associated with an experiment No
Associated with EIC No
Supported by Jefferson Lab LDRD Funding No
Meeting / Conference
Meeting Name RT2020 (22nd IEEE Real Time Conference)
Meeting Date 10/12/2020
Document Subtype Poster
Proceedings
Title Streaming Readout of the CLAS12 Forward Tagger Using TriDAS and JANA2
Editor(s)
Publisher EPJ Web of Conferences
Refereed Yes
Page Number 04011
Year 2021
Attachments/Datasets/DOI Link
Document(s)
RT2020_gyurjyan_33.pdf (STI Document)
epjconf_chep2021_04011.pdf (Accepted Manuscript)
DOI Link
Dataset(s) (none)
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