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AIDA
GELINA
BRIKEN
nToF
CRIB
ISOLDE
CIRCE
nTOFCapture
DESPEC
DTAS
EDI_PSA
179Ta
CARME
StellarModelling
DCF
K40
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Message ID: 565
Entry time: Sat May 13 03:16:16 2017
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| Author: |
TD |
| Subject: |
Analysis of May2017/R1_0 to May2017/ R1_79 |
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See https://elog.ph.ed.ac.uk/AIDA/555
Date files May2017/R1_0 to May2017/R_79 are an extended (c. 3.8 day) background run with
BNC PB-4 Pulser OFF and and a relatively high slow comparator threshold 0x64 to reduce
data volume.
Attachment 1 - DSSSD#1-6 m_p versus m_n
Attachment 2 - DSSSD#1-6 x versus y hit patterns
Attachment 3 - DSSSD#1-6 E_p versus E_n (dispersion ~20-23keV/channel)
Attachment 4 - DSSSD#1-6 E_p versus E_n (with tags)
Attachment 5 - 2D contour levels & colours for all 2D spectra above
Attachment 6 - MIDASsort subroutine
Attachment 7 - MIDASsort namelist I/O variables
Attachments 8-10 - ADC offset calculation logs etc
Attachment 11 - spectrum titles
MIDASsort calculates channel and ADC data as follows
ch = channel + ( module - 1 ) * 64 + ( range * 2048 )
adc_data = INT( RSHIFT( ABS( adc_data - 32768 ), 3 ) - offset(ch) + 0.5 )
where
channel = FEE channel # (0-63)
module = FEE module # (1-24)
range = LEC or HEC (LEC = 0, HEC = 1)
ADC offsets were calculated using the pulser walkthrough data of files May2017/R4
and command
cd ~/td/calibration
offsets /homes/npg/Spectra/R4 100 1400 15 10
where the peakfind peak search parameters are limits 100-1400 channels, fwhm=15 channels and acceptance=10%
Probably ~10% of ADC offsets need manual checking/adjustment
The 2D spectra (attachments 1-4) were produced for events with
multiplicities 0 < m_p < 8 *and* 0 < m_n < 8
all x-y combinations incremented
no clustering, gain matching or software thresholds
All DSSSDs show Uranium 4n+2 decay sequence background spectra from the intrinsic activity of the DSSSDs
and airborne decay products (e.g. 222Rn). Not clear why statistics are higher for DSSSD#1 cf. DSSSD#2-6.
One possibility is the activity of the aluminized Mylar window just upstream of DSSSD#1? Surrounding air
and Al snout would presumably affect DSSSD#1 and #6 about the same. |
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*** Weighted least squares fit to spectrum: s0
X nom. Y exp. Y fit Y fit - Y exp.
1.0 189.93 190.53 0.60
2.0 363.74 364.96 1.22
3.0 539.69 539.39 -0.30
4.0 716.47 713.82 -2.65
5.0 890.56 888.25 -2.31
6.0 1063.08 1062.68 -0.40
7.0 1233.27 1237.11 3.84
m = 174.43 +/- 0.04
c = 16.10 +/- 0.17
non-linearity = 0.368 %
mean fwhm = 13.979 channels
*** Weighted least squares fit to spectrum: s1
X nom. Y exp. Y fit Y fit - Y exp.
1.0 143.31 147.73 4.42
2.0 306.71 310.39 3.68
3.0 473.19 473.05 -0.14
4.0 641.99 635.72 -6.27
5.0 804.99 798.38 -6.61
6.0 964.85 961.04 -3.81
7.0 1122.66 1123.70 1.04
8.0 1280.63 1286.36 5.73
m = 162.66 +/- 0.08
c = -14.93 +/- 0.43
non-linearity = 0.581 %
mean fwhm = 15.366 channels
*** Weighted least squares fit to spectrum: s10
X nom. Y exp. Y fit Y fit - Y exp.
1.0 156.28 157.68 1.40
2.0 322.54 323.53 0.99
3.0 489.15 489.39 0.24
4.0 657.04 655.25 -1.79
5.0 824.04 821.11 -2.93
6.0 989.30 986.97 -2.33
7.0 1152.63 1152.82 0.19
8.0 1315.18 1318.68 3.50
m = 165.86 +/- 0.03
c = -8.18 +/- 0.14
non-linearity = 0.302 %
mean fwhm = 13.655 channels
*** Weighted least squares fit to spectrum: s100
X nom. Y exp. Y fit Y fit - Y exp.
1.0 453.00 455.71 2.71
2.0 892.40 886.10 -6.30
3.0 1312.65 1316.49 3.84
m = 430.39 +/- 0.13
c = 25.33 +/- 0.27
non-linearity = 0.733 %
mean fwhm = 13.810 channels
*** Weighted least squares fit to spectrum: s1000
X nom. Y exp. Y fit Y fit - Y exp.
1.0 176.03 172.24 -3.79
2.0 368.23 370.47 2.24
3.0 563.55 568.70 5.15
4.0 763.63 766.93 3.30
5.0 965.23 965.16 -0.07
6.0 1167.69 1163.39 -4.30
m = 198.23 +/- 0.04
c = -25.99 +/- 0.14
non-linearity = 0.519 %
mean fwhm = 13.743 channels
*** Weighted least squares fit to spectrum: s1001
X nom. Y exp. Y fit Y fit - Y exp.
1.0 173.02 167.78 -5.24
2.0 350.34 352.30 1.96
3.0 531.64 536.82 5.18
4.0 717.63 721.34 3.71
5.0 903.56 905.86 2.30
6.0 1091.05 1090.38 -0.67
7.0 1279.54 1274.90 -4.64
m = 184.52 +/- 0.03
c = -16.74 +/- 0.13
non-linearity = 0.474 %
mean fwhm = 13.837 channels
*** Weighted least squares fit to spectrum: s1002
X nom. Y exp. Y fit Y fit - Y exp.
1.0 270.82 269.26 -1.56
2.0 542.40 544.69 2.29
3.0 818.19 820.11 1.92
4.0 1097.69 1095.53 -2.16
m = 275.42 +/- 0.07
c = -6.16 +/- 0.19
non-linearity = 0.276 %
mean fwhm = 13.880 channels
*** Weighted least squares fit to spectrum: s1003
X nom. Y exp. Y fit Y fit - Y exp.
1.0 222.42 219.04 -3.38
2.0 441.73 443.41 1.68
3.0 664.14 667.78 3.64
4.0 889.54 892.15 2.61
5.0 1116.21 1116.53 0.32
6.0 1344.31 1340.90 -3.41
m = 224.37 +/- 0.04
c = -5.33 +/- 0.15
non-linearity = 0.325 %
mean fwhm = 13.785 channels
*** Weighted least squares fit to spectrum: s1004
X nom. Y exp. Y fit Y fit - Y exp.
1.0 402.40 401.72 -0.68
2.0 811.53 813.44 1.91
3.0 1226.26 1225.15 -1.11
m = 411.71 +/- 0.12
c = -9.99 +/- 0.23
non-linearity = 0.232 %
mean fwhm = 13.830 channels
*** Weighted least squares fit to spectrum: s1005
X nom. Y exp. Y fit Y fit - Y exp.
1.0 191.64 187.11 -4.53
2.0 376.18 378.19 2.01
3.0 565.34 569.26 3.92
4.0 757.36 760.34 2.98
5.0 949.57 951.41 1.84
6.0 1142.93 1142.49 -0.44
7.0 1337.33 1333.56 -3.77
m = 191.08 +/- 0.03
c = -3.96 +/- 0.13
non-linearity = 0.395 %
mean fwhm = 13.793 channels
*** Weighted least squares fit to spectrum: s1006
X nom. Y exp. Y fit Y fit - Y exp.
1.0 233.72 231.32 -2.40
2.0 457.46 459.66 2.20
3.0 684.47 688.01 3.54
4.0 915.78 916.35 0.57
5.0 1147.42 1144.70 -2.72
m = 228.35 +/- 0.05
c = 2.97 +/- 0.16
non-linearity = 0.387 %
mean fwhm = 13.786 channels
*** Weighted least squares fit to spectrum: s1007
X nom. Y exp. Y fit Y fit - Y exp.
1.0 231.89 229.14 -2.75
2.0 448.23 449.41 1.18
3.0 665.90 669.68 3.78
4.0 887.99 889.95 1.96
5.0 1110.32 1110.21 -0.11
6.0 1333.51 1330.48 -3.03
m = 220.27 +/- 0.04
c = 8.87 +/- 0.15
non-linearity = 0.343 %
mean fwhm = 13.912 channels
*** Weighted least squares fit to spectrum: s1008
X nom. Y exp. Y fit Y fit - Y exp.
1.0 210.16 205.78 -4.38
2.0 416.43 419.79 3.36
3.0 628.63 633.80 5.17
4.0 845.15 847.82 2.67
5.0 1061.98 1061.83 -0.15
6.0 1280.14 1275.84 -4.30
m = 214.01 +/- 0.04
c = -8.24 +/- 0.14
non-linearity = 0.484 %
mean fwhm = 13.820 channels
*** Weighted least squares fit to spectrum: s1009
X nom. Y exp. Y fit Y fit - Y exp.
1.0 196.88 190.74 -6.14
2.0 366.59 369.43 2.84
3.0 542.97 548.12 5.15
4.0 723.64 726.81 3.17
5.0 904.37 905.50 1.13
6.0 1085.38 1084.19 -1.19
7.0 1266.62 1262.88 -3.74
m = 178.69 +/- 0.03
c = 12.05 +/- 0.14
non-linearity = 0.574 %
mean fwhm = 13.909 channels
*** Weighted least squares fit to spectrum: s101
X nom. Y exp. Y fit Y fit - Y exp.
1.0 225.00 227.26 2.26
2.0 443.49 445.06 1.57
3.0 667.05 662.86 -4.19
4.0 885.48 880.66 -4.82
5.0 1098.86 1098.46 -0.40
6.0 1312.33 1316.27 3.94
m = 217.80 +/- 0.05
c = 9.46 +/- 0.18
non-linearity = 0.443 %
mean fwhm = 13.720 channels
*** Weighted least squares fit to spectrum: s1010
X nom. Y exp. Y fit Y fit - Y exp.
1.0 183.64 177.83 -5.81
2.0 365.65 368.48 2.83
3.0 553.40 559.13 5.73
4.0 746.00 749.78 3.78
5.0 938.39 940.43 2.04
6.0 1132.33 1131.08 -1.25
7.0 1326.30 1321.73 -4.57
m = 190.65 +/- 0.03
c = -12.82 +/- 0.13
non-linearity = 0.508 %
mean fwhm = 13.837 channels
*** Weighted least squares fit to spectrum: s1011
X nom. Y exp. Y fit Y fit - Y exp.
1.0 209.48 205.06 -4.42
2.0 429.27 432.84 3.57
3.0 655.24 660.61 5.37
4.0 885.45 888.39 2.94
5.0 1116.52 1116.16 -0.36
6.0 1348.17 1343.94 -4.23
m = 227.78 +/- 0.04
c = -22.72 +/- 0.15
non-linearity = 0.472 %
mean fwhm = 13.895 channels
*** Weighted least squares fit to spectrum: s1012
X nom. Y exp. Y fit Y fit - Y exp.
1.0 263.42 260.01 -3.41
2.0 505.95 510.02 4.07
3.0 755.57 760.04 4.47
4.0 1009.46 1010.06 0.60
5.0 1263.81 1260.07 -3.74
m = 250.02 +/- 0.05
c = 9.99 +/- 0.16
non-linearity = 0.447 %
mean fwhm = 13.856 channels
*** Weighted least squares fit to spectrum: s1013
X nom. Y exp. Y fit Y fit - Y exp.
1.0 166.90 49.06 -117.84
2.0 275.02 278.25 3.23
3.0 500.48 507.43 6.95
4.0 730.66 736.62 5.96
5.0 966.26 965.80 -0.46
6.0 1202.19 1194.99 -7.20
m = 229.19 +/- 0.05
c = -180.12 +/- 0.21
non-linearity = 11.382 %
mean fwhm = 14.147 channels
*** Weighted least squares fit to spectrum: s1014
X nom. Y exp. Y fit Y fit - Y exp.
1.0 197.22 192.13 -5.09
2.0 418.62 422.06 3.44
3.0 646.33 651.99 5.66
4.0 879.02 881.92 2.90
5.0 1111.58 1111.85 0.27
6.0 1346.52 1341.79 -4.73
m = 229.93 +/- 0.04
c = -37.81 +/- 0.17
non-linearity = 0.493 %
mean fwhm = 14.097 channels
*** Weighted least squares fit to spectrum: s1016
... 22032 more lines ...
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s1 nnaida1: ADC data items (20us/ch)
s2 nnaida2: ADC data items (20us/ch)
s3 nnaida3: ADC data items (20us/ch)
s4 nnaida4: ADC data items (20us/ch)
s5 nnaida5: ADC data items (20us/ch)
s6 nnaida6: ADC data items (20us/ch)
s7 nnaida7: ADC data items (20us/ch)
s8 nnaida8: ADC data items (20us/ch)
s9 nnaida9: ADC data items (20us/ch)
s10 nnaida10: ADC data items (20us/ch)
s11 nnaida11: ADC data items (20us/ch)
s12 nnaida12: ADC data items (20us/ch)
s13 nnaida13: ADC data items (20us/ch)
s14 nnaida14: ADC data items (20us/ch)
s15 nnaida15: ADC data items (20us/ch)
s16 nnaida16: ADC data items (20us/ch)
s17 nnaida17: ADC data items (20us/ch)
s18 nnaida18: ADC data items (20us/ch)
s19 nnaida19: ADC data items (20us/ch)
s20 nnaida20: ADC data items (20us/ch)
s21 nnaida21: ADC data items (20us/ch)
s22 nnaida22: ADC data items (20us/ch)
s23 nnaida23: ADC data items (20us/ch)
s24 nnaida24: ADC data items (20us/ch)
s25 nnaida25: ADC data items (20us/ch)
s26 nnaida26: ADC data items (20us/ch)
s27 nnaida27: ADC data items (20us/ch)
s28 nnaida28: ADC data items (20us/ch)
s29 nnaida29: ADC data items (20us/ch)
s30 nnaida30: ADC data items (20us/ch)
s31 nnaida31: ADC data items (20us/ch)
s32 nnaida32: ADC data items (20us/ch)
s101 nnaida1: Disc data items (20us/ch)
s102 nnaida2: Disc data items (20us/ch)
s103 nnaida3: Disc data items (20us/ch)
s104 nnaida4: Disc data items (20us/ch)
s105 nnaida5: Disc data items (20us/ch)
s106 nnaida6: Disc data items (20us/ch)
s107 nnaida7: Disc data items (20us/ch)
s108 nnaida8: Disc data items (20us/ch)
s109 nnaida9: Disc data items (20us/ch)
s110 nnaida10: Disc data items (20us/ch)
s111 nnaida11: Disc data items (20us/ch)
s112 nnaida12: Disc data items (20us/ch)
s113 nnaida13: Disc data items (20us/ch)
s114 nnaida14: Disc data items (20us/ch)
s115 nnaida15: Disc data items (20us/ch)
s116 nnaida16: Disc data items (20us/ch)
s117 nnaida17: Disc data items (20us/ch)
s118 nnaida18: Disc data items (20us/ch)
s119 nnaida19: Disc data items (20us/ch)
s120 nnaida20: Disc data items (20us/ch)
s121 nnaida21: Disc data items (20us/ch)
s122 nnaida22: Disc data items (20us/ch)
s123 nnaida23: Disc data items (20us/ch)
s124 nnaida24: Disc data items (20us/ch)
s125 nnaida25: Disc data items (20us/ch)
s126 nnaida26: Disc data items (20us/ch)
s127 nnaida27: Disc data items (20us/ch)
s128 nnaida28: Disc data items (20us/ch)
s129 nnaida29: Disc data items (20us/ch)
s130 nnaida30: Disc data items (20us/ch)
s131 nnaida31: Disc data items (20us/ch)
s132 nnaida32: Disc data items (20us/ch)
s200 LEC & HEC channels (DSSSD order)
s201 LEC & HEC channels (ASIC order)
s301 DSSSD #1 LEC rate (Hz) versus time
s306 DSSSD #6 LEC rate (Hz) versus time
s307 DSSSD #1 HEC rate (Hz) versus time
s312 DSSSD #6 HEC rate (Hz) versus time
s1000 4*(module # - 1) + asic # (0-95 ADC; 100-195 Disc) v. timestamp (20us/ch)
s1001 HEC channel (2048-3584) versus energy
s2000 m_p versus m_n DSSSD #1 (LEC)
s2005 m_p versus m_n DSSSD #6 (LEC)
s2010 x versus y DSSSD #1 (LEC)
s2015 x versus y DSSSD #6 (LEC)
s2020 E_p versus E_n DSSSD #1 (LEC)
s2025 E_p versus E_n DSSSD #6 (LEC)
s2030 LEC-LEC time DSSSD #1 (2.56us/ch)
s2035 LEC-LEC time DSSSD #6 (2.56us/ch)
s2100 m_p versus m_n DSSSD #1 (HEC)
s2105 m_p versus m_n DSSSD #6 (HEC)
s2110 x versus y DSSSD #1 (HEC)
s2115 x versus y DSSSD #6 (HEC)
s2120 E_p versus E_n DSSSD #1 (HEC)
s2125 E_p versus E_n DSSSD #6 (HEC)
s2130 HEC-HEC time DSSSD #1 (2.56us/ch)
s2135 HEC-HEC time DSSSD #6 (2.56us/ch)
s2200 per pixel HEC-LEC time DSSSD #1 (2.56us/ch)
s2205 per pixel HEC-LEC time DSSSD #6 (2.56us/ch)
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