Speaker
Mr
James Latshaw
(JSA)
Description
At the LLRF 2023 conference, Jefferson Lab’s Fast DAQ for Machine Learning was shared. This system equips the legacy CAMAC zones with a digital fast data acquisition system which samples and reports at a rate of 5 kHz to allow for detection of transients that operators would be otherwise blind to. This equips the legacy zones with both real time waveforms of key cavity control signals as well as the ability to trigger when beam is lost in the machine. This poster will help track ongoing efforts related to these fast DAQs as well as some problems that were encountered along the way.
| Abstract Category | Hardware |
|---|
Authors
Curt Hovater
(JLAB)
Dennis Turner
(Jefferson Lab)
Mr
James Latshaw
(JSA)
Jayendrika Tiskumara
(Jefferson Lab)
Rama Bachimanchi
(Jefferson Lab)
Tomasz Plawski
(Jefferson Lab)
