MC tables of 3D clusters and matches kept for different deghostpwrs
Problem solved! Here are plots of dphi vs. q/pt and electron pt match before and
after a correction for the dependence of dphi on q/pt. (drcut = 1.5 cm)
Goal:
EITHER:
It was also the case that many of these events were in runs were the CPS was not fully
instruments. All runs <= 151831 were cut leaving 1288 events.
From this Z->ee sample, single electron cuts were applied to all EM objects:
These EM objects are matched to CPS 3D clusters. Based off calorimeter position information,
a one sigma match is approximately 0.9 cm. Matches were done based on
a 2 sigma dr cut. In the table, is the deghost parameter tried, total number of clusters kept,
total number of em objects matched and number of em objects also matched to a GTR 401 track kept.
The electron track matching efficiency and total 3D clusters were recorded for different
deghostpwr values.
All track matches were kept at deghostpwr = 1.0 with 82% of 3D
clusters removed.
The 10 tracks that were lost at deghostpwr = 2.0 were compared at deghostpwr = 2.0 vs. off.
Matching MC tracks to CPS 3D clusters
Isolation
The isolation term is defined as the number of tracks within a 5 cm radius
of the test electron track. There are 4 sets of plots tested with deghosting
parameters of 0.4, 0.5, 0.6 and 1.0. The first set is the ratio of
electron matching efficiency with deghosting on/ deghosting off vs number
of adjacent tracks, the second is electron matching
efficiency vs number of adjacent tracks, the third is the
percent of fakes removed and the fourth is efficiency vs pT.
= p13.03.00 MC , PTCUT = 1.4GeV, DRCUT = 1.5cm
===================================================================
deghostpwr | 3D clusters kept | matches kept | > 20GeV | < 20GeV
========== TTB 3200 events, 1845 tracks > 1.4 GeV =================
off | 990,009 | 1684 | 654 | 1030
0.2 | 982,887 | 1684 | 654 | 1030
0.3 | 779,274 | 1675 | 654 | 1021
0.4 | 527,933 | 1640 | 652 | 988
0.5 | 380,572 | 1604 | 650 | 954
0.6 | 297,029 | 1573 | 648 | 925
0.8 | 212,612 | 1532 | 643 | 889
1.0 | 173,831 | 1493 | 640 | 853
1.5 | 135,611 | 1422 | 633 | 789
2.0 | 122,765 | 1387 | 632 | 755
10.0 | 108,861 | 1324 | 627 | 697
= p09.08.01 MC , PTCUT = 1.4GeV, DRCUT = 1.5cm
===================================================================
deghostpwr | 3D clusters kept | matches kept | > 20GeV | < 20GeV
========== TTB 4750 events, 2903 tracks > 1.4 GeV =================
off | 1,929,470 | 2439 | 916 | 1523
0.2 | 1,916,045 | 2439 | 916 | 1523
0.3 | 1,529,523 | 2431 | 916 | 1515
0.4 | 1,044,277 | 2412 | 916 | 1496
0.5 | 755,042 | 2379 | 916 | 1463
0.6 | 588,848 | 2307 | 912 | 1395
0.8 | 419,540 | 2212 | 909 | 1303
1.0 | 340.908 | 2142 | 901 | 1241
1.5 | 264,306 | 2023 | 901 | 1122
2.0 | 237,864 | 1968 | 898 | 1070
10.0 | 209,583 | 1863 | 884 | 979
= p04 MC , PTCUT = 1.4GeV, DRCUT = 1.5cm
===================================================================
deghostpwr | 3D clusters kept | matches kept | > 20GeV | < 20GeV
========== TTB 2000 events, 1059 tracks > 1.4 GeV =================
off | 1,117,238 | 1010 | 403 | 607
0.2 | 1,100,952 | 1010 | 403 | 607
0.3 | 805,789 | 1004 | 403 | 601
0.4 | 519,334 | 988 | 403 | 585
0.5 | 366,808 | 977 | 403 | 574
0.6 | 284,151 | 948 | 402 | 546
0.8 | 202,478 | 905 | 402 | 503
1.0 | 165,201 | 881 | 402 | 479
1.5 | 129,272 | 845 | 400 | 445
2.0 | 117,356 | 824 | 396 | 428
10.0 | 104,624 | 798 | 392 | 406
========== ZEE 2000 events, 2247 tracks > 1.4 GeV =================
off | 108,618 | 2220 | 1964 | 256
0.2 | 108,135 | 2220 | 1964 | 256
0.3 | 95,354 | 2220 | 1964 | 256
0.4 | 78,354 | 2219 | 1964 | 255
0.5 | 66,275 | 2218 | 1964 | 254
0.6 | 58,473 | 2218 | 1964 | 254
0.8 | 49,496 | 2217 | 1963 | 254
1.0 | 44,577 | 2217 | 1963 | 254
1.5 | 39,384 | 2212 | 1959 | 253
2.0 | 37,394 | 2208 | 1957 | 251
10.0 | 34,908 | 2204 | 1956 | 248
3200 ttbar p13.03.00 MC events (SAM dataset mc_p13.03.00_ttb_reco)
Efficiency with deghosting on / efficiency with deghosting
off vs number of adjacent tracks
Electron matching efficiency vs number of adjacent tracks
Percent of fakes removed
Electron matching efficiency vs pt
4750 ttbar p09.08.00 MC events (SAM dataset gardnerj_mc_p09_ttb)
Efficiency with deghosting on / efficiency with deghosting
off vs number of adjacent tracks
Electron matching efficiency vs number of adjacent tracks
Percent of fakes removed
Electron matching efficiency vs pt
2000 ttbar p04 MC events
Efficiency with deghosting on / efficiency with deghosting
off vs number of adjacent tracks
Electron matching efficiency vs number of adjacent tracks
Percent of fakes removed
Electron matching efficiency vs pt
Matching real tracks to CPS 3D clusters
Using electron tracks from real data, find out how effectively my deghosting routine removes extra (ghost) 3D clusters while keeping matches to tracks.
Procedure:
A sample of 3212 Z->ee candidates (1288 useable), reconstructed using p11.11.00, was used. The selection cuts require
AND all of:
In the Z->ee sample, there were:
= REAL ZEE candidates, p11.11.00, 3212 events(1288 good) ===========
= 709 em objects in fiducial region, 168 with a track ==============
== cps position based on calorimeter, drcut = 1.8(~ 2sigma) ========
deghostpwr clusters kept em objects matched with a track
off 587,037 562 144
0.2 579,749 562 144
0.3 429,390 558 144
0.4 282,697 539 142
0.5 204,853 533 142
0.6 162,167 520 140
0.8 119,131 508 139
1.0 97,743 498 138
1.5 74,621 478 133
2.0 65,929 461 131
10.0 55,740 406 122
For those em objects with a track match, matching was also done based off track position.
For GTR tracks, one sigma is estimated at 0.5 cm. Matching based on 2 and 3 sigmas were tried.
== cps position based on gtr 401 tracks ============================
deghostpwr clusters kept drcut = 1.0 drcut = 1.5
off 587,037 147 154
0.2 579,749 147 154
0.3 429,390 147 154
0.4 282,697 146 154
0.5 204,853 146 154
0.6 162,167 145 151
0.8 119,131 143 151
1.0 97,743 142 151
1.5 74,621 133 145
2.0 65,929 128 142
10.0 55,740 118 132