data22_v2.0(_unweight_by_nEl)
   <pre class="mermaid">
           flowchart TD
	0["ee Region: 8082416 (100.0%) "]
	1["Pass kinematic + mee cuts: 1214549 (15.0%) "]
	0-->1
	2["2e: 1185203 (97.6%) "]
	1-->2
	3["\>=2e: 29346 (2.4%) "]
	1-->3
	4["\> 1 DV w/m > 5 GeV: 99 (0.0%) "]
	2-->4
	5["1 DV w/m > 5 GeV: 11930 (1.0%) "]
	2-->5
	6["0 DV w/m>5 GeV: 1181599 (99.0%) "]
	2-->6
	7["\> 1 DV w/m > 5 GeV: 3 (0.0%) "]
	3-->7
	8["1 DV w/m > 5 GeV: 354 (1.2%) "]
	3-->8
	9["0 DV w/m>5 GeV: 28832 (98.8%) "]
	3-->9
	10["\>=2 matched el: 16 (0.1%) "]
	5-->10
	11["1 matched el: 5263 (44.1%) "]
	5-->11
	12["No matched el: 6651 (55.8%) "]
	5-->12
	13["\>=2 matched el: 1 (0.3%) "]
	8-->13
	14["1 matched el: 205 (57.9%) "]
	8-->14
	15["No matched el: 148 (41.8%) "]
	8-->15
   </pre>

   mS = 110, mZ_{d} = 30, #tau = 0.1ns(_unweight_by_nEl)
   <pre class="mermaid">
           flowchart TD
	0["ee Region: 5898 (100.0%) "]
	1["Pass kinematic + mee cuts: 4434 (75.2%) "]
	0-->1
	2["2e: 1385 (31.2%) "]
	1-->2
	3["\>=2e: 3049 (68.8%) "]
	1-->3
	4["\> 1 DV w/m > 5 GeV: 67 (4.8%) S/sqrt(B) = 0.0"]
	2-->4
	5["1 DV w/m > 5 GeV: 536 (38.7%) "]
	2-->5
	6["0 DV w/m>5 GeV: 782 (56.5%) S/sqrt(B) = 0.9"]
	2-->6
	7["\> 1 DV w/m > 5 GeV: 515 (16.9%) S/sqrt(B) = 0.7"]
	3-->7
	8["1 DV w/m > 5 GeV: 1552 (50.9%) "]
	3-->8
	9["0 DV w/m>5 GeV: 982 (32.2%) "]
	3-->9
	10["\>=2 matched el: 224 (41.8%) "]
	5-->10
	11["1 matched el: 277 (51.7%) "]
	5-->11
	12["No matched el: 35 (6.5%) "]
	5-->12
	13["\>=2 matched el: 1272 (82.0%) "]
	8-->13
	14["1 matched el: 247 (15.9%) "]
	8-->14
	15["No matched el: 33 (2.1%) "]
	8-->15
   </pre>

   mS = 110, mZ_{d} = 30, #tau = 10ns(_unweight_by_nEl)
   <pre class="mermaid">
           flowchart TD
	0["ee Region: 79 (100.0%) "]
	1["Pass kinematic + mee cuts: 62 (78.5%) "]
	0-->1
	2["2e: 50 (80.6%) "]
	1-->2
	3["\>=2e: 12 (19.4%) "]
	1-->3
	4["\> 1 DV w/m > 5 GeV: 1 (2.0%) S/sqrt(B) = 0.0"]
	2-->4
	5["1 DV w/m > 5 GeV: 22 (44.0%) "]
	2-->5
	6["0 DV w/m>5 GeV: 27 (54.0%) S/sqrt(B) = 0.0"]
	2-->6
	7["\> 1 DV w/m > 5 GeV: 0 (0.0%) S/sqrt(B) = 0.0"]
	3-->7
	8["1 DV w/m > 5 GeV: 8 (66.7%) "]
	3-->8
	9["0 DV w/m>5 GeV: 4 (33.3%) "]
	3-->9
	10["\>=2 matched el: 17 (77.3%) "]
	5-->10
	11["1 matched el: 4 (18.2%) "]
	5-->11
	12["No matched el: 1 (4.5%) "]
	5-->12
	13["\>=2 matched el: 5 (62.5%) "]
	8-->13
	14["1 matched el: 3 (37.5%) "]
	8-->14
	15["No matched el: 0 (0.0%) "]
	8-->15
   </pre>

   mS = 400, mZ_{d} = 100, #tau = 0.1ns(_unweight_by_nEl)
   <pre class="mermaid">
           flowchart TD
	0["ee Region: 19887 (100.0%) "]
	1["Pass kinematic + mee cuts: 17329 (87.1%) "]
	0-->1
	2["2e: 3357 (19.4%) "]
	1-->2
	3["\>=2e: 13972 (80.6%) "]
	1-->3
	4["\> 1 DV w/m > 5 GeV: 87 (2.6%) S/sqrt(B) = 0.0"]
	2-->4
	5["1 DV w/m > 5 GeV: 1193 (35.5%) "]
	2-->5
	6["0 DV w/m>5 GeV: 2076 (61.9%) S/sqrt(B) = 2.4"]
	2-->6
	7["\> 1 DV w/m > 5 GeV: 3065 (21.9%) S/sqrt(B) = 4.3"]
	3-->7
	8["1 DV w/m > 5 GeV: 7144 (51.1%) "]
	3-->8
	9["0 DV w/m>5 GeV: 3763 (26.9%) "]
	3-->9
	10["\>=2 matched el: 581 (48.7%) "]
	5-->10
	11["1 matched el: 431 (36.1%) "]
	5-->11
	12["No matched el: 181 (15.2%) "]
	5-->12
	13["\>=2 matched el: 6263 (87.7%) "]
	8-->13
	14["1 matched el: 697 (9.8%) "]
	8-->14
	15["No matched el: 184 (2.6%) "]
	8-->15
   </pre>

   mS = 400, mZ_{d} = 100, #tau = 2ns(_unweight_by_nEl)
   <pre class="mermaid">
           flowchart TD
	0["ee Region: 6863 (100.0%) "]
	1["Pass kinematic + mee cuts: 4414 (64.3%) "]
	0-->1
	2["2e: 3075 (69.7%) "]
	1-->2
	3["\>=2e: 1339 (30.3%) "]
	1-->3
	4["\> 1 DV w/m > 5 GeV: 8 (0.3%) S/sqrt(B) = 0.0"]
	2-->4
	5["1 DV w/m > 5 GeV: 1045 (34.0%) "]
	2-->5
	6["0 DV w/m>5 GeV: 2022 (65.8%) S/sqrt(B) = 2.4"]
	2-->6
	7["\> 1 DV w/m > 5 GeV: 77 (5.8%) S/sqrt(B) = 0.1"]
	3-->7
	8["1 DV w/m > 5 GeV: 628 (46.9%) "]
	3-->8
	9["0 DV w/m>5 GeV: 634 (47.3%) "]
	3-->9
	10["\>=2 matched el: 905 (86.6%) "]
	5-->10
	11["1 matched el: 97 (9.3%) "]
	5-->11
	12["No matched el: 43 (4.1%) "]
	5-->12
	13["\>=2 matched el: 567 (90.3%) "]
	8-->13
	14["1 matched el: 51 (8.1%) "]
	8-->14
	15["No matched el: 10 (1.6%) "]
	8-->15
   </pre>

   mS = 400, mZ_{d} = 10, #tau = 0.1ns(_unweight_by_nEl)
   <pre class="mermaid">
           flowchart TD
	0["ee Region: 3308 (100.0%) "]
	1["Pass kinematic + mee cuts: 3113 (94.1%) "]
	0-->1
	2["2e: 2219 (71.3%) "]
	1-->2
	3["\>=2e: 894 (28.7%) "]
	1-->3
	4["\> 1 DV w/m > 5 GeV: 60 (2.7%) S/sqrt(B) = 0.0"]
	2-->4
	5["1 DV w/m > 5 GeV: 919 (41.4%) "]
	2-->5
	6["0 DV w/m>5 GeV: 1239 (55.9%) S/sqrt(B) = 1.5"]
	2-->6
	7["\> 1 DV w/m > 5 GeV: 107 (12.0%) S/sqrt(B) = 0.2"]
	3-->7
	8["1 DV w/m > 5 GeV: 426 (47.7%) "]
	3-->8
	9["0 DV w/m>5 GeV: 361 (40.4%) "]
	3-->9
	10["\>=2 matched el: 774 (84.2%) "]
	5-->10
	11["1 matched el: 80 (8.7%) "]
	5-->11
	12["No matched el: 65 (7.1%) "]
	5-->12
	13["\>=2 matched el: 344 (80.8%) "]
	8-->13
	14["1 matched el: 65 (15.3%) "]
	8-->14
	15["No matched el: 17 (4.0%) "]
	8-->15
   </pre>