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m + : Status, first results and outlook

m + : Status, first results and outlook. Peter Winter. m + / m - discrimination. TPC.  eLog:92.  TrendPlotViewer. m -. m +. m + / m - discrimination. c 2. m + magnet setting. Data sets have to be sorted by magnet: polarity | Run 11

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m + : Status, first results and outlook

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  1. m+: Status, first results and outlook Peter Winter

  2. m+ / m- discrimination TPC  eLog:92  TrendPlotViewer

  3. m- m+

  4. m+ / m- discrimination c2

  5. m+ magnet setting • Data sets have to be sorted by magnet: polarity | Run 11 • ----------------------------------------- • +125 A | 1220 (3.7  108) • - 125 A | 3500 (9  108) • 0 A | 840  eLog:189

  6. m+ magnet setting • Data sets have to be sorted by magnet: polarity | Run 11 • ----------------------------------------- • +125 A | 1220 (3.7  108) • - 125 A | 3500 (9  108) • 0 A | 840 • But can we prove the database entries?  eLog:189

  7. m+ magnet setting m+ magnet + m+ magnet -

  8. m+ classification • Tools to discriminate m+ / m- and magnet polarity available • Might need some more refinement • Needs to be simply done carefully for final production

  9. m+ fitting summary N(t) = N0lwexp(-lt)  [1 + A  P(t) sin(wt+f)] + B

  10. m+ fitting summary N(t) = N0lwexp(-lt)  [1 + A  P(t) sin(wt+f)] + B P(t) = exp(-lmsr2 t2/2) P(t) = exp(-lmsrt)

  11. m+ fitting summary N(t) = N0lwexp(-lt)  [1 + A  P(t) sin(wt+f)] + B P(t) = exp(-lmsr2 t2/2)

  12. m+ fitting summary N(t) = N0lwexp(-lt)  [1 + A  P(t) sin(wt+f)] + B P(t) = exp(-lmsr2 t2/2) • Initialize muSR parameters A, w, f, lmsr from difference histograms

  13. m+ fitting summary N(t) = N0lwexp(-lt)  [1 + A  P(t) sin(wt+f)] + B P(t) = exp(-lmsr2 t2/2) • Initialize muSR parameters A, w, f, lmsrfrom difference histograms • Fix muSR parameters A, w, f, lmsr and fit lifetime parameters N0, l, B

  14. m+ fitting summary N(t) = N0lwexp(-lt)  [1 + A  P(t) sin(wt+f)] + B P(t) = exp(-lmsr2 t2/2) • Initialize muSR parameters A, w, f, lmsrfrom difference histograms • Fix muSR parameters A, w, f, lmsr and fit lifetime parameters N0, l, B • Release A, w, f one by one and fit again.

  15. m+ fit results:

  16. m+ fit results: • versus Gondola scan • & • l versus nContEH scan  eLog:198

  17. m+ fit: Gondola scan (+125A)

  18. m+ fit: Gondola scan (-125A)

  19. m+ fit: nContEH scan (+125A)

  20. m+ fit: nContEH scan (-125A)

  21. m+ fit results: l versus TPC bin 21 22 23 24 10 9 11 12 6 5 7 8 2 1 3 4  eLog:213  eLog:214

  22. m+ fit: TPC volume scan (+125A)

  23. m+ fit: nContEH scan (-125A)

  24. m+ / m-: l versus nContEH  eLog:226

  25. m+ / m-: nContEH distribution  eLog:222

  26. Scatter estimate: DR(m- - m+) [ppm] Scatter effect estimate:  eLog:233

  27. ? Scatter estimate: DR(m- - m+) [ppm] +125 A, y>0 -125 A, y>0 -125 A, y<0 +125 A, y<0

  28. Scatter estimate: DR(m- - m+) [ppm] +125 A, y>0 -125 A, y>0 -125 A, y<0 +125 A, y<0 DR(S 4 data sets) = 471  382 ppm

  29. Scatter estimate: DR(m- - m+) [ppm] +125 A, y>0 -125 A, y<0 +125 A, y<0 DR(S 4 data sets) = 471  382 ppm DR(S 3 data sets) = 2619  373 ppm

  30. Scatter estimate: Dl [ppm] DR(S 4 data sets) = 471  382 ppm DR(S 3 data sets) = 2619  373 ppm Dl = DR * e • = fraction of nContEH=1 • = 0.0135 Dl(S 4 data sets) = 6.4  5 s-1 Dl(S 3 data sets) = 35  5 s-1

  31. m+ / m-: Conclusion • Effect sizeable but lots of work still needed • Differences in nContEH(y) distribution • Study more differential (y, ...) • Differences in dE/dx might affect nContEH? • mu+ inconsistencies need to be resolved: • mu+ datasets +125A and -125A differ • mu+ fits don't converge all the time

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