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