- #1
Jabbu
- 180
- 0
Raw data sample source:
http://people.isy.liu.se/jalar/belltiming/
999 detections parsed in .txt format:
http://www.mediafire.com/download/1pi64hrydzs7r7h/bell999.zip
This below is the first 99 detections. It's unmatched raw data, so A-B pairs on the right are going to be different once the data is sorted out and ready for counting coincidences. Alice and Bob have four detectors each (0,1,2,3), two for 0 degrees and two for 45 degrees polarizer rotation.
Out of 999 ticks Alice recorded 649 "+" and 115 "-" detections on her 0 degrees detectors (0,1), while there was 135 "+" and 100 "-" detections for 45 degrees rotation (2,3).
Out of 999 ticks Bob recorded 634 "+" and 121 "-" detections on his 0 degrees detectors (0,1), while there was 116 "+" and 128 "-" detections for 45 degrees rotation (2,3).Time-stamps and match-making. This is really the only problem here, but what a strange problem it is. You would think true matching pairs would be detected close together in the timeline and far away from other pairs, so they can be recognized and singled out, but for some reason they obviously are not.
The most peculiar thing, however, is that Alice's detectors constantly trigger at higher rate than Bob's. Almost half of Alice's data simply can not be matched and it needs to be discarded, but what to throw out and what to keep? So what in the world are those "extra" detections and why there is constantly much more detections on Alice's than Bob's detectors?
http://people.isy.liu.se/jalar/belltiming/
999 detections parsed in .txt format:
http://www.mediafire.com/download/1pi64hrydzs7r7h/bell999.zip
This below is the first 99 detections. It's unmatched raw data, so A-B pairs on the right are going to be different once the data is sorted out and ready for counting coincidences. Alice and Bob have four detectors each (0,1,2,3), two for 0 degrees and two for 45 degrees polarizer rotation.
Code:
# 0=vertical, no rotation
# 1=horizontal, no rotation
# 2=vertical, 45degree rotation
# 3=horizontal, 45degree rotation
A-TIME B-TIME A-B
1: 0.0000022 0.0000529 0-0
2: 0.0000080 0.0000776 1-3
3: 0.0000127 0.0000927 0-0
4: 0.0000497 0.0001099 1-3
5: 0.0000529 0.0001300 0-0
6: 0.0000973 0.0002323 2-1
7: 0.0001282 0.0002482 0-0
8: 0.0001301 0.0002905 2-3
9: 0.0001443 0.0003017 0-0
10: 0.0001562 0.0003396 0-0
11: 0.0002056 0.0003470 0-0
12: 0.0002165 0.0003603 2-1
13: 0.0002194 0.0003883 0-0
14: 0.0002808 0.0004288 3-0
15: 0.0002983 0.0005772 0-0
16: 0.0003171 0.0005891 0-0
17: 0.0003296 0.0006135 0-0
18: 0.0003309 0.0006371 0-0
19: 0.0003424 0.0006647 0-0
20: 0.0003554 0.0007317 3-0
21: 0.0003615 0.0007469 0-0
22: 0.0003676 0.0007601 0-0
23: 0.0003898 0.0007825 0-0
24: 0.0004362 0.0008330 3-1
25: 0.0004437 0.0008839 0-0
26: 0.0004539 0.0008957 2-3
27: 0.0004914 0.0008982 0-0
28: 0.0004991 0.0009989 3-3
29: 0.0005282 0.0010620 0-0
30: 0.0005351 0.0010826 0-0
31: 0.0005416 0.0011126 0-0
32: 0.0005655 0.0011489 0-3
33: 0.0006468 0.0011678 0-0
34: 0.0006708 0.0012064 3-0
35: 0.0006767 0.0012985 0-0
36: 0.0006962 0.0013142 2-0
37: 0.0007817 0.0013765 0-0
38: 0.0007857 0.0014157 0-1
39: 0.0007993 0.0015135 0-0
40: 0.0008088 0.0015221 1-2
41: 0.0008259 0.0015419 0-0
42: 0.0008357 0.0015776 2-0
43: 0.0008391 0.0016791 0-0
44: 0.0008424 0.0017757 2-0
45: 0.0008485 0.0017868 0-0
46: 0.0008640 0.0018922 1-0
47: 0.0008770 0.0019115 0-0
48: 0.0008957 0.0019672 3-2
49: 0.0009142 0.0019713 0-0
50: 0.0009252 0.0019919 2-0
51: 0.0010379 0.0020254 0-0
52: 0.0010510 0.0020501 1-3
53: 0.0010650 0.0021090 0-0
54: 0.0010687 0.0021181 1-2
55: 0.0010735 0.0021392 0-0
56: 0.0010751 0.0021629 2-1
57: 0.0010763 0.0021994 0-0
58: 0.0010855 0.0022013 1-3
59: 0.0010991 0.0022063 0-0
60: 0.0011117 0.0022513 0-3
61: 0.0011236 0.0022674 0-0
62: 0.0011500 0.0023667 1-3
63: 0.0011513 0.0023788 0-0
64: 0.0012012 0.0024184 1-0
65: 0.0012200 0.0025019 0-0
66: 0.0012253 0.0025062 1-1
67: 0.0012410 0.0026088 0-0
68: 0.0012471 0.0026173 3-1
69: 0.0012574 0.0026490 0-0
70: 0.0012875 0.0026576 2-3
71: 0.0013107 0.0028493 0-0
72: 0.0013316 0.0028756 1-0
73: 0.0013761 0.0029057 0-0
74: 0.0014241 0.0029142 2-3
75: 0.0014748 0.0029372 0-0
76: 0.0014851 0.0029474 2-2
77: 0.0015024 0.0030059 0-0
78: 0.0015044 0.0030309 2-3
79: 0.0015106 0.0031342 0-0
80: 0.0015129 0.0031550 2-1
81: 0.0015150 0.0031565 0-0
82: 0.0015295 0.0032586 0-1
83: 0.0015542 0.0032745 0-0
84: 0.0015822 0.0032994 2-0
85: 0.0016125 0.0033041 0-0
86: 0.0016299 0.0033495 1-3
87: 0.0016477 0.0033801 0-0
88: 0.0016560 0.0033820 2-2
89: 0.0016966 0.0034207 0-0
90: 0.0016975 0.0034965 1-0
91: 0.0017108 0.0035036 0-0
92: 0.0017323 0.0036224 3-1
93: 0.0018108 0.0037002 0-0
94: 0.0018483 0.0037304 0-1
95: 0.0018778 0.0037377 0-0
96: 0.0019019 0.0037468 0-0
97: 0.0019060 0.0037955 0-0
98: 0.0019224 0.0038050 1-2
99: 0.0019713 0.0038233 0-0
Out of 999 ticks Alice recorded 649 "+" and 115 "-" detections on her 0 degrees detectors (0,1), while there was 135 "+" and 100 "-" detections for 45 degrees rotation (2,3).
Out of 999 ticks Bob recorded 634 "+" and 121 "-" detections on his 0 degrees detectors (0,1), while there was 116 "+" and 128 "-" detections for 45 degrees rotation (2,3).Time-stamps and match-making. This is really the only problem here, but what a strange problem it is. You would think true matching pairs would be detected close together in the timeline and far away from other pairs, so they can be recognized and singled out, but for some reason they obviously are not.
The most peculiar thing, however, is that Alice's detectors constantly trigger at higher rate than Bob's. Almost half of Alice's data simply can not be matched and it needs to be discarded, but what to throw out and what to keep? So what in the world are those "extra" detections and why there is constantly much more detections on Alice's than Bob's detectors?
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