mS = data22, mZ_{d} = v2.0, #tau = test(_weighted_by_nEl)
   <pre class="mermaid">
           flowchart TD
	0["ee Region: 303641 (100.0%) "]
	1["Pass kinematic + mee cuts: 44358 (14.6%) "]
	0-->1
	2["2e: 43396 (97.8%) "]
	1-->2
	3["\>=2e: 962 (2.2%) "]
	1-->3
	4["\> 1 DV w/m > 5 GeV: 12 (0.0%) "]
	2-->4
	5["1 DV w/m > 5 GeV: 348 (0.8%) "]
	2-->5
	6["0 DV w/m>5 GeV: 42851 (99.2%) "]
	2-->6
	7["\> 1 DV w/m > 5 GeV: 0 (0.0%) "]
	3-->7
	8["1 DV w/m > 5 GeV: 6 (0.5%) "]
	3-->8
	9["0 DV w/m>5 GeV: 1096 (99.5%) "]
	3-->9
	10["\>=2 matched el: 0 (0.0%) "]
	5-->10
	11["1 matched el: 157 (45.0%) "]
	5-->11
	12["No matched el: 191 (55.0%) "]
	5-->12
	13["\>=2 matched el: 0 (0.0%) "]
	8-->13
	14["1 matched el: 6 (100.0%) "]
	8-->14
	15["No matched el: 0 (0.0%) "]
	8-->15
   </pre>

   mS = 110, mZ_{d} = 30, #tau = 0.1ns(_weighted_by_nEl)
   <pre class="mermaid">
           flowchart TD
	0["ee Region: 1122949 (100.0%) "]
	1["Pass kinematic + mee cuts: 844232 (75.2%) "]
	0-->1
	2["2e: 263696 (31.2%) "]
	1-->2
	3["\>=2e: 580535 (68.8%) "]
	1-->3
	4["\> 1 DV w/m > 5 GeV: 12754 (4.8%) S/sqrt(B) = 23.1"]
	2-->4
	5["1 DV w/m > 5 GeV: 102051 (38.7%) "]
	2-->5
	6["0 DV w/m>5 GeV: 148890 (56.5%) S/sqrt(B) = 964.9"]
	2-->6
	7["\> 1 DV w/m > 5 GeV: 98070 (16.9%) S/sqrt(B) = 738.1"]
	3-->7
	8["1 DV w/m > 5 GeV: 295484 (50.9%) "]
	3-->8
	9["0 DV w/m>5 GeV: 186977 (32.2%) "]
	3-->9
	10["\>=2 matched el: 42647 (41.8%) "]
	5-->10
	11["1 matched el: 52740 (51.7%) "]
	5-->11
	12["No matched el: 6664 (6.5%) "]
	5-->12
	13["\>=2 matched el: 242177 (82.0%) "]
	8-->13
	14["1 matched el: 47026 (15.9%) "]
	8-->14
	15["No matched el: 6284 (2.1%) "]
	8-->15
   </pre>

   mS = 110, mZ_{d} = 30, #tau = 10ns(_weighted_by_nEl)
   <pre class="mermaid">
           flowchart TD
	0["ee Region: 15040 (100.0%) "]
	1["Pass kinematic + mee cuts: 11802 (78.5%) "]
	0-->1
	2["2e: 9519 (80.7%) "]
	1-->2
	3["\>=2e: 2284 (19.3%) "]
	1-->3
	4["\> 1 DV w/m > 5 GeV: 190 (2.0%) S/sqrt(B) = 0.3"]
	2-->4
	5["1 DV w/m > 5 GeV: 4187 (44.0%) "]
	2-->5
	6["0 DV w/m>5 GeV: 5142 (54.0%) S/sqrt(B) = 33.3"]
	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: 1523 (66.7%) "]
	3-->8
	9["0 DV w/m>5 GeV: 761 (33.3%) "]
	3-->9
	10["\>=2 matched el: 3236 (77.3%) "]
	5-->10
	11["1 matched el: 762 (18.2%) "]
	5-->11
	12["No matched el: 190 (4.5%) "]
	5-->12
	13["\>=2 matched el: 951 (62.5%) "]
	8-->13
	14["1 matched el: 571 (37.5%) "]
	8-->14
	15["No matched el: 0 (0.0%) "]
	8-->15
   </pre>

   mS = 400, mZ_{d} = 100, #tau = 0.1ns(_weighted_by_nEl)
   <pre class="mermaid">
           flowchart TD
	0["ee Region: 704264 (100.0%) "]
	1["Pass kinematic + mee cuts: 613658 (87.1%) "]
	0-->1
	2["2e: 118884 (19.4%) "]
	1-->2
	3["\>=2e: 494760 (80.6%) "]
	1-->3
	4["\> 1 DV w/m > 5 GeV: 3082 (2.6%) S/sqrt(B) = 5.6"]
	2-->4
	5["1 DV w/m > 5 GeV: 42247 (35.5%) "]
	2-->5
	6["0 DV w/m>5 GeV: 73519 (61.9%) S/sqrt(B) = 476.5"]
	2-->6
	7["\> 1 DV w/m > 5 GeV: 108538 (21.9%) S/sqrt(B) = 816.9"]
	3-->7
	8["1 DV w/m > 5 GeV: 252978 (51.1%) "]
	3-->8
	9["0 DV w/m>5 GeV: 133256 (26.9%) "]
	3-->9
	10["\>=2 matched el: 20573 (48.7%) "]
	5-->10
	11["1 matched el: 15266 (36.1%) "]
	5-->11
	12["No matched el: 6408 (15.2%) "]
	5-->12
	13["\>=2 matched el: 221782 (87.7%) "]
	8-->13
	14["1 matched el: 24680 (9.8%) "]
	8-->14
	15["No matched el: 6515 (2.6%) "]
	8-->15
   </pre>

   mS = 400, mZ_{d} = 100, #tau = 2ns(_weighted_by_nEl)
   <pre class="mermaid">
           flowchart TD
	0["ee Region: 243031 (100.0%) "]
	1["Pass kinematic + mee cuts: 156315 (64.3%) "]
	0-->1
	2["2e: 108892 (69.7%) "]
	1-->2
	3["\>=2e: 47422 (30.3%) "]
	1-->3
	4["\> 1 DV w/m > 5 GeV: 283 (0.3%) S/sqrt(B) = 0.5"]
	2-->4
	5["1 DV w/m > 5 GeV: 37005 (34.0%) "]
	2-->5
	6["0 DV w/m>5 GeV: 71604 (65.8%) S/sqrt(B) = 464.1"]
	2-->6
	7["\> 1 DV w/m > 5 GeV: 2727 (5.8%) S/sqrt(B) = 20.5"]
	3-->7
	8["1 DV w/m > 5 GeV: 22241 (46.9%) "]
	3-->8
	9["0 DV w/m>5 GeV: 22453 (47.3%) "]
	3-->9
	10["\>=2 matched el: 32047 (86.6%) "]
	5-->10
	11["1 matched el: 3434 (9.3%) "]
	5-->11
	12["No matched el: 1523 (4.1%) "]
	5-->12
	13["\>=2 matched el: 20080 (90.3%) "]
	8-->13
	14["1 matched el: 1807 (8.1%) "]
	8-->14
	15["No matched el: 354 (1.6%) "]
	8-->15
   </pre>

   mS = 400, mZ_{d} = 10, #tau = 0.1ns(_weighted_by_nEl)
   <pre class="mermaid">
           flowchart TD
	0["ee Region: 117143 (100.0%) "]
	1["Pass kinematic + mee cuts: 110238 (94.1%) "]
	0-->1
	2["2e: 78577 (71.3%) "]
	1-->2
	3["\>=2e: 31660 (28.7%) "]
	1-->3
	4["\> 1 DV w/m > 5 GeV: 2125 (2.7%) S/sqrt(B) = 3.9"]
	2-->4
	5["1 DV w/m > 5 GeV: 32539 (41.4%) "]
	2-->5
	6["0 DV w/m>5 GeV: 43877 (55.9%) S/sqrt(B) = 284.4"]
	2-->6
	7["\> 1 DV w/m > 5 GeV: 3790 (12.0%) S/sqrt(B) = 28.5"]
	3-->7
	8["1 DV w/m > 5 GeV: 15086 (47.6%) "]
	3-->8
	9["0 DV w/m>5 GeV: 12784 (40.4%) "]
	3-->9
	10["\>=2 matched el: 27406 (84.2%) "]
	5-->10
	11["1 matched el: 2832 (8.7%) "]
	5-->11
	12["No matched el: 2301 (7.1%) "]
	5-->12
	13["\>=2 matched el: 12182 (80.8%) "]
	8-->13
	14["1 matched el: 2302 (15.3%) "]
	8-->14
	15["No matched el: 601 (4.0%) "]
	8-->15
   </pre>

   data22_v2.0(_weighted_by_nEl)
   <pre class="mermaid">
           flowchart TD
	0["ee Region: 46853024 (100.0%) "]
	1["Pass kinematic + mee cuts: 7040647 (15.0%) "]
	0-->1
	2["2e: 6870530 (97.6%) "]
	1-->2
	3["\>=2e: 170120 (2.4%) "]
	1-->3
	4["\> 1 DV w/m > 5 GeV: 574 (0.0%) "]
	2-->4
	5["1 DV w/m > 5 GeV: 69159 (1.0%) "]
	2-->5
	6["0 DV w/m>5 GeV: 6849638 (99.0%) "]
	2-->6
	7["\> 1 DV w/m > 5 GeV: 17 (0.0%) "]
	3-->7
	8["1 DV w/m > 5 GeV: 2052 (1.2%) "]
	3-->8
	9["0 DV w/m>5 GeV: 167140 (98.8%) "]
	3-->9
	10["\>=2 matched el: 93 (0.1%) "]
	5-->10
	11["1 matched el: 30510 (44.1%) "]
	5-->11
	12["No matched el: 38556 (55.8%) "]
	5-->12
	13["\>=2 matched el: 6 (0.3%) "]
	8-->13
	14["1 matched el: 1188 (57.9%) "]
	8-->14
	15["No matched el: 858 (41.8%) "]
	8-->15
   </pre>

   mS = 110, mZ_{d} = 30, #tau = 0.1ns(_weighted_by_nEl)
   <pre class="mermaid">
           flowchart TD
	0["ee Region: 1122949 (100.0%) "]
	1["Pass kinematic + mee cuts: 844232 (75.2%) "]
	0-->1
	2["2e: 263696 (31.2%) "]
	1-->2
	3["\>=2e: 580535 (68.8%) "]
	1-->3
	4["\> 1 DV w/m > 5 GeV: 12754 (4.8%) S/sqrt(B) = 1.9"]
	2-->4
	5["1 DV w/m > 5 GeV: 102051 (38.7%) "]
	2-->5
	6["0 DV w/m>5 GeV: 148890 (56.5%) S/sqrt(B) = 72.5"]
	2-->6
	7["\> 1 DV w/m > 5 GeV: 98070 (16.9%) S/sqrt(B) = 57.7"]
	3-->7
	8["1 DV w/m > 5 GeV: 295484 (50.9%) "]
	3-->8
	9["0 DV w/m>5 GeV: 186977 (32.2%) "]
	3-->9
	10["\>=2 matched el: 42647 (41.8%) "]
	5-->10
	11["1 matched el: 52740 (51.7%) "]
	5-->11
	12["No matched el: 6664 (6.5%) "]
	5-->12
	13["\>=2 matched el: 242177 (82.0%) "]
	8-->13
	14["1 matched el: 47026 (15.9%) "]
	8-->14
	15["No matched el: 6284 (2.1%) "]
	8-->15
   </pre>

   mS = 110, mZ_{d} = 30, #tau = 10ns(_weighted_by_nEl)
   <pre class="mermaid">
           flowchart TD
	0["ee Region: 15040 (100.0%) "]
	1["Pass kinematic + mee cuts: 11802 (78.5%) "]
	0-->1
	2["2e: 9519 (80.7%) "]
	1-->2
	3["\>=2e: 2284 (19.3%) "]
	1-->3
	4["\> 1 DV w/m > 5 GeV: 190 (2.0%) S/sqrt(B) = 0.0"]
	2-->4
	5["1 DV w/m > 5 GeV: 4187 (44.0%) "]
	2-->5
	6["0 DV w/m>5 GeV: 5142 (54.0%) S/sqrt(B) = 2.5"]
	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: 1523 (66.7%) "]
	3-->8
	9["0 DV w/m>5 GeV: 761 (33.3%) "]
	3-->9
	10["\>=2 matched el: 3236 (77.3%) "]
	5-->10
	11["1 matched el: 762 (18.2%) "]
	5-->11
	12["No matched el: 190 (4.5%) "]
	5-->12
	13["\>=2 matched el: 951 (62.5%) "]
	8-->13
	14["1 matched el: 571 (37.5%) "]
	8-->14
	15["No matched el: 0 (0.0%) "]
	8-->15
   </pre>

   mS = 400, mZ_{d} = 100, #tau = 0.1ns(_weighted_by_nEl)
   <pre class="mermaid">
           flowchart TD
	0["ee Region: 704264 (100.0%) "]
	1["Pass kinematic + mee cuts: 613658 (87.1%) "]
	0-->1
	2["2e: 118884 (19.4%) "]
	1-->2
	3["\>=2e: 494760 (80.6%) "]
	1-->3
	4["\> 1 DV w/m > 5 GeV: 3082 (2.6%) S/sqrt(B) = 0.5"]
	2-->4
	5["1 DV w/m > 5 GeV: 42247 (35.5%) "]
	2-->5
	6["0 DV w/m>5 GeV: 73519 (61.9%) S/sqrt(B) = 35.8"]
	2-->6
	7["\> 1 DV w/m > 5 GeV: 108538 (21.9%) S/sqrt(B) = 63.9"]
	3-->7
	8["1 DV w/m > 5 GeV: 252978 (51.1%) "]
	3-->8
	9["0 DV w/m>5 GeV: 133256 (26.9%) "]
	3-->9
	10["\>=2 matched el: 20573 (48.7%) "]
	5-->10
	11["1 matched el: 15266 (36.1%) "]
	5-->11
	12["No matched el: 6408 (15.2%) "]
	5-->12
	13["\>=2 matched el: 221782 (87.7%) "]
	8-->13
	14["1 matched el: 24680 (9.8%) "]
	8-->14
	15["No matched el: 6515 (2.6%) "]
	8-->15
   </pre>

   mS = 400, mZ_{d} = 100, #tau = 2ns(_weighted_by_nEl)
   <pre class="mermaid">
           flowchart TD
	0["ee Region: 243031 (100.0%) "]
	1["Pass kinematic + mee cuts: 156315 (64.3%) "]
	0-->1
	2["2e: 108892 (69.7%) "]
	1-->2
	3["\>=2e: 47422 (30.3%) "]
	1-->3
	4["\> 1 DV w/m > 5 GeV: 283 (0.3%) S/sqrt(B) = 0.0"]
	2-->4
	5["1 DV w/m > 5 GeV: 37005 (34.0%) "]
	2-->5
	6["0 DV w/m>5 GeV: 71604 (65.8%) S/sqrt(B) = 34.8"]
	2-->6
	7["\> 1 DV w/m > 5 GeV: 2727 (5.8%) S/sqrt(B) = 1.6"]
	3-->7
	8["1 DV w/m > 5 GeV: 22241 (46.9%) "]
	3-->8
	9["0 DV w/m>5 GeV: 22453 (47.3%) "]
	3-->9
	10["\>=2 matched el: 32047 (86.6%) "]
	5-->10
	11["1 matched el: 3434 (9.3%) "]
	5-->11
	12["No matched el: 1523 (4.1%) "]
	5-->12
	13["\>=2 matched el: 20080 (90.3%) "]
	8-->13
	14["1 matched el: 1807 (8.1%) "]
	8-->14
	15["No matched el: 354 (1.6%) "]
	8-->15
   </pre>

   mS = 400, mZ_{d} = 10, #tau = 0.1ns(_weighted_by_nEl)
   <pre class="mermaid">
           flowchart TD
	0["ee Region: 117143 (100.0%) "]
	1["Pass kinematic + mee cuts: 110238 (94.1%) "]
	0-->1
	2["2e: 78577 (71.3%) "]
	1-->2
	3["\>=2e: 31660 (28.7%) "]
	1-->3
	4["\> 1 DV w/m > 5 GeV: 2125 (2.7%) S/sqrt(B) = 0.3"]
	2-->4
	5["1 DV w/m > 5 GeV: 32539 (41.4%) "]
	2-->5
	6["0 DV w/m>5 GeV: 43877 (55.9%) S/sqrt(B) = 21.4"]
	2-->6
	7["\> 1 DV w/m > 5 GeV: 3790 (12.0%) S/sqrt(B) = 2.2"]
	3-->7
	8["1 DV w/m > 5 GeV: 15086 (47.6%) "]
	3-->8
	9["0 DV w/m>5 GeV: 12784 (40.4%) "]
	3-->9
	10["\>=2 matched el: 27406 (84.2%) "]
	5-->10
	11["1 matched el: 2832 (8.7%) "]
	5-->11
	12["No matched el: 2301 (7.1%) "]
	5-->12
	13["\>=2 matched el: 12182 (80.8%) "]
	8-->13
	14["1 matched el: 2302 (15.3%) "]
	8-->14
	15["No matched el: 601 (4.0%) "]
	8-->15
   </pre>