this file is bnlku9:~pcooper/pass2/suspect_rstdc.runs
Search for runs with suspect RSTDC data using pass2 ntuples
Peter Cooper
11 Jan 2002
At Steve's suggestion I've searched for runs with potenally bad RSTDC data
in the fall 2001 data using the km21 pass2 ntuples. This work can be found
in bnlku9:~pcooper/pass2/.
There is no variable stored in the ntuple which directly tests the validity of
the RSTDC data. There is IERRTDC; but we know that for data before Oct 25 the
event number was not being loaded into the DYC headers so all those events
look like failures. I chose to use npvrd; the number of range stack counters
with ADCs and prompt TDCs associated with both ends. For kmu21 triggers this
number should be >20 since most muons traverse the whole range stack. For
some runs there are a significant fraction of the events with npvrd<15. These
are candidates for runs with missing or incorrect RSTDC data. This can be
seen on the top plot of the attached figure which box-plots npvrd vs run
number.
The distribution of runs vs fraction is shown in the lower left plot. I've
chosen to define suspect bad runs as those having >5% of the events with
npvrd<15. There are 48 such runs out of 507 runs with km21 triggers.
This list of suspect runs is below. The lower left plot is the npvrd
distribution for all data. 5.9% of the events have npvrd<18, These events
are probably bad. Among the causes for these bad events are bad RSTDC data.
run events fraction
number all npvrd<15
44364. 40. 2. 0.050
44416. 22. 2. 0.091
44420. 12. 1. 0.083
44446. 13. 1. 0.077
44454. 660. 34. 0.052
44470. 161. 9. 0.056
44472. 274. 14. 0.051
44578. 336. 18. 0.054
44582. 1284. 79. 0.062
44614. 288. 278. 0.965
44720. 1616. 331. 0.205
44942. 494. 55. 0.111
44944. 377. 41. 0.109
45116. 99. 18. 0.182
45116. 19. 3. 0.158
45118. 517. 87. 0.168
45120. 1308. 233. 0.178
45122. 205. 27. 0.132
45354. 2988. 1168. 0.391
45356. 3063. 1224. 0.400
45356. 2291. 942. 0.411
45358. 1295. 556. 0.429
45360. 6157. 2376. 0.386
45362. 2754. 1135. 0.412
45380. 5360. 430. 0.080
45382. 1629. 191. 0.117
45386. 2576. 305. 0.118
45386. 2011. 232. 0.115
45388. 1372. 147. 0.107
45392. 25. 3. 0.120
45392. 1108. 128. 0.116
45428. 461. 122. 0.265
45430. 1491. 324. 0.217
45432. 2617. 620. 0.237
45432. 820. 189. 0.230
45434. 152. 40. 0.263
45434. 598. 167. 0.279
45436. 2535. 623. 0.246
45436. 1051. 246. 0.234
45438. 10. 4. 0.400
45438. 803. 503. 0.626
45450. 1824. 442. 0.242
45452. 321. 193. 0.601
45454. 2699. 1815. 0.672
45456. 2069. 1450. 0.701
45536. 2779. 261. 0.094
45614. 1764. 304. 0.172
46016. 49. 49. 1.000
44364. 40. 2. 0.050 44416. 22. 2. 0.091 44420. 12. 1. 0.083 44446. 13. 1. 0.077 44454. 660. 34. 0.052 44470. 161. 9. 0.056 44472. 274. 14. 0.051 44578. 336. 18. 0.054 44582. 1284. 79. 0.062 44614. 288. 278. 0.965 44720. 1616. 331. 0.205 44942. 494. 55. 0.111 44944. 377. 41. 0.109 45116. 99. 18. 0.182 45116. 19. 3. 0.158 45118. 517. 87. 0.168 45120. 1308. 233. 0.178 45122. 205. 27. 0.132 45354. 2988. 1168. 0.391 45356. 3063. 1224. 0.400 45356. 2291. 942. 0.411 45358. 1295. 556. 0.429 45360. 6157. 2376. 0.386 45362. 2754. 1135. 0.412 45380. 5360. 430. 0.080 45382. 1629. 191. 0.117 45386. 2576. 305. 0.118 45386. 2011. 232. 0.115 45388. 1372. 147. 0.107 45392. 25. 3. 0.120 45392. 1108. 128. 0.116 45428. 461. 122. 0.265 45430. 1491. 324. 0.217 45432. 2617. 620. 0.237 45432. 820. 189. 0.230 45434. 152. 40. 0.263 45434. 598. 167. 0.279 45436. 2535. 623. 0.246 45436. 1051. 246. 0.234 45438. 10. 4. 0.400 45438. 803. 503. 0.626 45450. 1824. 442. 0.242 45452. 321. 193. 0.601 45454. 2699. 1815. 0.672 45456. 2069. 1450. 0.701 45536. 2779. 261. 0.094 45614. 1764. 304. 0.172 46016. 49. 49. 1.000
Attachment:
list.ps
Description: figures