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m + : Status, first results and outlook - PowerPoint PPT Presentation

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

Peter Winter

m+ / m- discrimination

TPC

 eLog:92

 TrendPlotViewer

m-

m+

m+ / m- discrimination

c2

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

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

m+ magnet setting

m+ magnet +

m+ magnet -

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

m+ fitting summary

N(t) = N0lwexp(-lt)  [1 + A  P(t) sin(wt+f)] + B

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)

m+ fitting summary

N(t) = N0lwexp(-lt)  [1 + A  P(t) sin(wt+f)] + B

P(t) = exp(-lmsr2 t2/2)

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

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

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.

m+ fit results:

m+ fit results:

• versus Gondola scan

• &

• l versus nContEH scan

 eLog:198

m+ fit: Gondola scan (+125A)

m+ fit: Gondola scan (-125A)

m+ fit: nContEH scan (+125A)

m+ fit: nContEH scan (-125A)

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

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

m+ fit: nContEH scan (-125A)

m+ / m-: l versus nContEH

 eLog:226

m+ / m-: nContEH distribution

 eLog:222

Scatter estimate: DR(m- - m+) [ppm]

Scatter effect estimate:  eLog:233

Scatter estimate: DR(m- - m+) [ppm]

+125 A,

y>0

-125 A,

y>0

-125 A,

y<0

+125 A,

y<0

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

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

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

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