Arkusz1 # Run Date L3(L2) accepts 0 bias GXG triggers GXG - PDF document

Feb 03, 2023 •372 likes •420 views

Arkusz1 # Run Date L3(L2) accepts 0 bias GXG triggers GXG offline clean 292319 10.05.2010 113226 8160 99261 36354 (18433) 294607 12.07.2010 122686 8985 111958 62281 294630 13.07.2010 2662885 149781 2484044 1352000 294773

Arkusz1 # Run Date L3(L2) accepts 0 bias GXG triggers GXG offline clean 292319 10.05.2010 113226 8160 99261 36354 (18433) 294607 12.07.2010 122686 8985 111958 62281 294630 13.07.2010 2662885 149781 2484044 1352000 294773 17.07.2010 720755 50468 660500 366000 294775 17.07.2010 1012815 68740 930732 514000 294777 17.07.2010 272488 18860 249967 139000 Sum of July data 4791629 296834 4437201 2433000 July + May data 4904855 304994 4536462 Błąd:529 Legend: Triggers 3 CJET5 & SUMET2 5 SUMET2 & L1 CJET5 6 SUMET2 & L1 TRK1.5 7 SUMET2 & L1 TWO TRK1.5 8 SUMET2 & L1 TWO CEM0.5 9 SUMET2 & L1 TWO CJET0.5 1 + 2 0 bias aoc – after offline clean estimated values „(18433)” number of events left in a May run after the gaps cut used in July data Strona 1
Arkusz1 Trigger 3 Trigger 3 – aoc Trigger 5 Trigger 5 – aoc Trigger 6 Trigger 6 – aoc Trigger 7 4956 3407 2809 2186 16594 2298 829 7173 6512 3526 3270 8267 3791 358 119916 108866 71771 66560 174935 80220 8506 47188 42840 29106 26993 65393 29987 3169 75163 68237 46088 42742 97340 44637 4650 23632 21454 14589 13530 27463 12594 1365 273072 247908 165080 153095 373398 171229 18048 278028 251315 167889 155281 389992 173527 18877 Trig 3 data efficiency Trig 5 data efficiency Trig 6 data efficiency 0,91 0,93 0,46 ta Strona 2
Arkusz1 Trigger 7 – aoc Trigger 8 Trigger 8 – aoc Trigger 9 Trigger 9 – aoc LumiLive (nb^( 108 40625 6820 40625 8158 51,062 162 52252 25585 52270 30254 57,999 3901 1192814 584057 1193221 690639 783,047 1453 293531 143726 293537 169900 238,337 2132 399907 195813 399914 231471 271,444 626 109697 53713 109697 63493 61,955 8274 2048201 1002894 2048639 1185757 1412,78 8382 2088826 1009714 2089264 1193915 1463,84 Trig 7 data efficiency Trig 8 data efficiency Trig 9 data efficiency 0,45 0,49 0,58 Strona 3
Arkusz1 ^(-1)) Strona 4

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