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Target Operations

Target Operations. A summary of Target Operation to Date Paul Hodgson The University of Sheffield . T1 Operation Dates. DAQ Timing Problem. Calibrations Taken. Target Parameters. Start position: x 1 Start time: t 1 Time beam on: TB 1 Time beam off: TB 2 BCD minimum: x 2

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Target Operations

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  1. Target Operations A summary of Target Operation to Date Paul Hodgson The University of Sheffield

  2. T1 Operation Dates DAQ Timing Problem Calibrations Taken

  3. Target Parameters Start position: x1 Start time: t1 Time beam on: TB1 Time beam off: TB2 BCD minimum: x2 Time BCD minimum: t2 Strike: s = x2 – x1 Strike time: t = t2 – t1 Acceleration: a = 4s/t2 Run reduction code over the raw data to parameterise Can then plot interesting variables quickly Interesting Parameters include Target hold position Target BCD – Beam Centre Distance Target Acceleration TB1 TB2 x1 x2 t1 t2

  4. Target Hold Position 2 populations a result of capture mechanism Takes about 2 hours to warm up 1 hour

  5. Target BCD Steering target into/out of beam Stable running Decreased BCD to increase particle rate

  6. Target Acceleration Rapid change – Ohmic heating of coils Slower decrease over 2+ hours Takes about 2 hours to warm up

  7. Target Acceleration Lots of stopping and starting Takes about 2 hours to warm up

  8. BCD Histograms Histogram BCDs for a set value Clear difference between the two distributions Failing target has a much broader spread T2 distribution 3-4 times as broad Can be interpreted as a result of the target “sticking”

  9. BCDs for T1 and T2 In each case the test runs were setup to pulse with a nominal BCD of 19-20 mm Very different appearance for BCD time series plots for T1 and T2 T1 very stable BCD does not vary over time T2 BCD varies strongly over time Plot very “spiky” after ~42k pulses Clear signal for target failure T2 Commissioning Run

  10. Calibration Histograms Fit double Gaussian to BCD by hand Why ? Trying to account for second population usually seen

  11. Calibration Histograms Tricky to automate, usually need to tweak the fit start values by hand to get the fit to converge Obvious 2nd peak More ambiguous case

  12. Is it better to simply fit a single gaussian or do no fit at all and use RMS ?

  13. Another view of the Calibration Double Gaussian fit can pick out second population and gives better resolution for spread

  14. BCD Calibrations to date All within narrow range ~ 0.6mm No discernable change over time

  15. Conclusions • Have a simple method of spotting potential breakdown of the target • Target performance looks fine to date • This method is partially automated in current target DAQ – Thanks James  • Still needs an “experts eye” • Don’t want to define some arbitrary failure value until we see how these measurements evolve

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