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
522.75
M_2
1,534.61
M_3
1,225.44
mL1
1,714.38
mL3
3,677.76
mE1
2,501.58
mE3
1,934.54
mQ1
1,084.29
mQ3
3,376.46
mU1
476.20
mU3
3,401.06
mD1
1,995.65
mD3
463.69
At
3,631.67
Ab
395.40
Atau
-136.25
mu
-507.58
mA
2,368.99
tan(beta)
24.49
The truth!
2
M_1
2,236.89
M_2
-320.78
M_3
1,546.82
mL1
957.37
mL3
1,949.49
mE1
3,571.42
mE3
1,259.66
mQ1
3,403.84
mQ3
2,350.12
mU1
1,596.03
mU3
2,850.51
mD1
3,760.15
mD3
3,254.60
At
-2,711.64
Ab
3,273.75
Atau
-3,544.24
mu
-2,484.67
mA
4,394.16
tan(beta)
60.02
The truth!
3
M_1
-716.06
M_2
2,475.16
M_3
1,020.65
mL1
2,337.36
mL3
1,629.81
mE1
3,226.72
mE3
2,595.54
mQ1
737.99
mQ3
2,013.76
mU1
3,010.51
mU3
3,334.70
mD1
2,182.26
mD3
3,812.15
At
4,010.01
Ab
-3,894.58
Atau
1,880.86
mu
-545.94
mA
2,400.73
tan(beta)
24.51
The truth!
4
M_1
3,600.33
M_2
2,087.93
M_3
899.83
mL1
1,643.06
mL3
3,402.95
mE1
2,267.07
mE3
2,476.29
mQ1
3,300.08
mQ3
2,624.41
mU1
670.18
mU3
3,800.60
mD1
1,018.46
mD3
3,259.05
At
4,444.61
Ab
-1,502.93
Atau
-15.34
mu
-304.77
mA
1,865.44
tan(beta)
27.13
The truth!
5
M_1
-2,758.41
M_2
-1,571.74
M_3
497.52
mL1
1,321.40
mL3
3,489.26
mE1
2,369.61
mE3
3,529.50
mQ1
1,264.77
mQ3
2,989.56
mU1
2,937.11
mU3
3,538.57
mD1
3,319.17
mD3
2,935.55
At
-3,930.76
Ab
-3,209.24
Atau
-2,290.25
mu
546.13
mA
1,970.07
tan(beta)
48.39
The truth!
6
M_1
3,975.34
M_2
226.10
M_3
3,947.65
mL1
2,249.33
mL3
2,236.18
mE1
3,998.36
mE3
3,370.67
mQ1
3,652.44
mQ3
3,963.52
mU1
325.22
mU3
3,097.17
mD1
735.99
mD3
2,046.78
At
-3,967.49
Ab
-2,026.05
Atau
572.99
mu
1,193.19
mA
2,280.07
tan(beta)
42.67
The truth!
7
M_1
3,415.22
M_2
271.83
M_3
2,363.69
mL1
2,001.17
mL3
3,124.05
mE1
2,390.84
mE3
3,550.92
mQ1
2,946.36
mQ3
1,349.61
mU1
2,556.01
mU3
1,933.91
mD1
1,742.71
mD3
305.87
At
-2,516.63
Ab
-3,660.53
Atau
1,384.72
mu
2,769.13
mA
1,445.49
tan(beta)
22.24
The truth!
8
M_1
-1,336.42
M_2
3,470.69
M_3
1,899.55
mL1
2,456.02
mL3
2,323.42
mE1
2,828.38
mE3
1,172.83
mQ1
2,302.33
mQ3
378.99
mU1
3,392.98
mU3
3,615.77
mD1
1,707.19
mD3
974.31
At
3,303.72
Ab
-3,409.32
Atau
-2,683.52
mu
-350.87
mA
2,690.96
tan(beta)
30.11
The truth!
9
M_1
465.59
M_2
-643.86
M_3
2,459.37
mL1
2,998.39
mL3
1,300.17
mE1
1,228.72
mE3
2,803.23
mQ1
3,094.96
mQ3
3,558.04
mU1
2,699.00
mU3
3,089.96
mD1
3,452.07
mD3
2,008.48
At
-3,686.54
Ab
-1,332.34
Atau
-3,506.02
mu
472.40
mA
2,950.90
tan(beta)
47.72
The truth!
10
M_1
3,407.85
M_2
203.97
M_3
3,371.70
mL1
2,740.06
mL3
1,330.97
mE1
662.89
mE3
1,406.33
mQ1
1,550.05
mQ3
2,751.27
mU1
2,144.30
mU3
1,234.15
mD1
3,437.77
mD3
598.56
At
-4,682.97
Ab
-446.09
Atau
-863.33
mu
3,773.11
mA
3,732.77
tan(beta)
20.85
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