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This study addresses the critical need to eliminate beam trips from DAQ data in experimental settings. Beam trips, which can adversely affect data integrity, must be understood and minimized. We explore what beam trips are, why their elimination is essential, and how to achieve this. A key concept is Livetime, defined as the duration during which data can be acquired. Using data from the Primex DB, we analyze Livetime with two scalers—free-running and DAQ live-time gated—illustrating the interrelationship between beam intensity and live-time fluctuations. The findings lead to improved measurements and stability in beam positioning at HyCal.
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Purpose: eliminating beam trips from DAQ data. • What are beam trips? • Why must they be eliminated? • How can they be eliminated? • Must know what Livetime is in order to answer questions.
Livetime? • What is Livetime? • How is it determined? • Livetime is the period of time that data can be acuired in the experiment. • It is determined using two scalers, both are guided by a clock. • One is free running, the other is DAQ live-time gated. • Free running scaler – Live1. • The live-time gated scaler – Live2.
Method Used • Used data from Primex DB database • Ratio of Live1 and Live2 from 1st db gives livetime for each event. Used distributions of • Live1/Live2=Livetime • Stop – Start for each interval in the fit to determine beam trip criteria
LIVETIME TRIP FEATURE • When the intensity of the beam drops the live-time rises. • When the live time drops the beam intensity rises.
1D DISTRIBUTIONS • This is an example of fractional livetime distribution • This is an example of difference of stop event start event distribution
FITS • Guass fit for Livetime. • Guass fit for Stop/Start Difference.
BEFORE – AFTER COMPARISON • Trips occurring • No trips
Summary • Study helped determine • the correct beam position • at HyCal • Shows sensitivity to • beam intensity changes