S. Caron, J.S. Kim, K. Rolbiecki, R. Ruiz de Austri and B. Stienen,
The BSM-AI project: SUSY-AI - Generalizing LHC limits on Supersymmetry with Machine Learning
[arXiv:1605.02797]

Can you beat the machine?

Classify alongside SUSY-AI and see how good a classifier you are

Below you'll find 10 points in the 19-dimensional pMSSM, defined by their coordinates. Based on these coordinates you could be able to classify each of them as excluded or allowed. You could... but are you able to this correctly for the 13TeV results? And are you able to beat the machine in doing so? Start classifying to find out!

P.S. Every refresh of this page gives you new points to predict!

1
M_1
298.65
M_2
2,206.22
M_3
2,276.40
mL1
2,379.99
mL3
1,588.90
mE1
351.84
mE3
274.96
mQ1
637.40
mQ3
3,833.93
mU1
3,573.87
mU3
907.59
mD1
3,812.10
mD3
3,242.29
At
4,140.87
Ab
-181.85
Atau
-1,221.12
mu
-307.12
mA
2,197.38
tan(beta)
12.60
The truth!
2
M_1
-398.66
M_2
362.38
M_3
2,938.85
mL1
1,040.01
mL3
1,086.06
mE1
3,322.01
mE3
812.45
mQ1
3,105.86
mQ3
3,142.59
mU1
3,892.29
mU3
3,449.55
mD1
3,559.40
mD3
1,056.62
At
5,273.52
Ab
-2,161.34
Atau
1,145.93
mu
1,410.24
mA
2,423.47
tan(beta)
8.15
The truth!
3
M_1
1,968.05
M_2
430.55
M_3
3,545.62
mL1
1,891.44
mL3
3,809.56
mE1
3,085.24
mE3
3,253.13
mQ1
692.35
mQ3
3,106.82
mU1
1,001.47
mU3
1,685.77
mD1
3,434.16
mD3
1,485.54
At
-2,920.14
Ab
-3,212.45
Atau
-22.09
mu
2,821.81
mA
1,629.00
tan(beta)
22.60
The truth!
4
M_1
-316.07
M_2
2,828.55
M_3
2,652.02
mL1
918.53
mL3
1,562.93
mE1
280.65
mE3
530.80
mQ1
3,072.49
mQ3
730.08
mU1
1,147.30
mU3
2,831.82
mD1
2,982.00
mD3
1,824.03
At
2,356.97
Ab
1,144.37
Atau
821.08
mu
-2,388.68
mA
2,374.71
tan(beta)
8.74
The truth!
5
M_1
1,519.37
M_2
3,176.22
M_3
1,395.58
mL1
1,095.31
mL3
1,806.59
mE1
2,010.69
mE3
1,436.97
mQ1
1,085.03
mQ3
3,511.42
mU1
1,396.87
mU3
2,702.83
mD1
1,201.12
mD3
2,779.88
At
-4,728.73
Ab
-2,478.74
Atau
-3,640.23
mu
591.29
mA
3,547.43
tan(beta)
27.92
The truth!
6
M_1
1,899.37
M_2
-2,707.82
M_3
2,608.66
mL1
2,866.23
mL3
1,872.93
mE1
1,841.46
mE3
3,619.34
mQ1
444.52
mQ3
3,814.09
mU1
973.71
mU3
3,195.46
mD1
759.40
mD3
2,531.64
At
-4,859.13
Ab
2,923.10
Atau
-1,543.04
mu
-388.70
mA
2,240.49
tan(beta)
20.23
The truth!
7
M_1
2,707.92
M_2
495.36
M_3
475.73
mL1
547.13
mL3
3,219.03
mE1
2,693.61
mE3
934.74
mQ1
2,293.29
mQ3
2,981.98
mU1
3,876.39
mU3
3,630.49
mD1
638.19
mD3
2,234.34
At
3,501.42
Ab
2,194.94
Atau
-2,325.56
mu
-3,059.33
mA
1,576.15
tan(beta)
13.67
The truth!
8
M_1
264.12
M_2
256.57
M_3
3,785.95
mL1
2,646.92
mL3
2,578.14
mE1
2,202.09
mE3
2,971.24
mQ1
3,432.13
mQ3
2,929.68
mU1
1,124.76
mU3
2,642.93
mD1
1,761.23
mD3
2,984.85
At
-3,377.05
Ab
3,835.84
Atau
-3,094.43
mu
-1,062.00
mA
3,065.12
tan(beta)
12.37
The truth!
9
M_1
-1,471.31
M_2
2,435.45
M_3
3,467.95
mL1
2,737.25
mL3
2,201.00
mE1
2,253.47
mE3
2,867.91
mQ1
1,641.68
mQ3
2,706.33
mU1
3,426.96
mU3
2,814.23
mD1
1,917.05
mD3
1,844.60
At
2,936.42
Ab
133.34
Atau
-1,438.80
mu
-938.23
mA
3,085.69
tan(beta)
12.61
The truth!
10
M_1
2,550.99
M_2
-712.28
M_3
1,240.11
mL1
2,192.49
mL3
3,980.68
mE1
2,603.39
mE3
841.47
mQ1
1,492.31
mQ3
3,923.24
mU1
3,959.02
mU3
3,508.01
mD1
674.72
mD3
2,371.90
At
4,164.71
Ab
1,790.58
Atau
-760.32
mu
-2,504.10
mA
2,493.47
tan(beta)
39.19
The truth!
SUSY-AI and SUSY-AI Online were developed by S. Caron, J.S. Kim, K. Rolbiecki, R. Ruiz de Austri and B. Stienen.
If you encounter any problems, don't hesitate to contact us!
SUSY-AI and SUSY-AI Online (c) 2017