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
3,296.90
M_2
506.75
M_3
3,285.74
mL1
2,236.18
mL3
1,217.59
mE1
1,900.24
mE3
2,937.88
mQ1
3,086.44
mQ3
2,319.03
mU1
383.72
mU3
2,864.01
mD1
3,097.39
mD3
928.44
At
3,355.88
Ab
-1,305.84
Atau
-3,883.72
mu
-3,324.99
mA
3,514.41
tan(beta)
7.83
The truth!
2
M_1
546.95
M_2
3,596.30
M_3
2,552.92
mL1
1,757.25
mL3
2,613.12
mE1
3,044.24
mE3
2,585.38
mQ1
3,062.95
mQ3
2,324.92
mU1
814.61
mU3
2,819.35
mD1
287.07
mD3
2,916.04
At
3,434.50
Ab
941.87
Atau
-2,055.51
mu
-2,501.84
mA
2,593.28
tan(beta)
20.94
The truth!
3
M_1
-792.64
M_2
1,532.52
M_3
3,277.87
mL1
3,235.81
mL3
3,441.85
mE1
1,007.28
mE3
1,483.49
mQ1
3,323.29
mQ3
1,352.30
mU1
2,079.68
mU3
2,888.90
mD1
2,801.51
mD3
1,475.25
At
3,033.15
Ab
-418.44
Atau
-2,721.83
mu
610.77
mA
3,318.55
tan(beta)
20.14
The truth!
4
M_1
2,707.64
M_2
-1,667.88
M_3
1,841.54
mL1
2,604.91
mL3
3,495.35
mE1
3,280.01
mE3
1,847.44
mQ1
1,547.28
mQ3
3,399.64
mU1
2,077.67
mU3
3,313.64
mD1
3,645.67
mD3
3,448.72
At
-6,467.03
Ab
657.68
Atau
62.63
mu
-865.29
mA
3,893.18
tan(beta)
5.86
The truth!
5
M_1
2,087.82
M_2
-2,474.87
M_3
2,564.29
mL1
3,500.79
mL3
1,771.52
mE1
1,335.04
mE3
1,663.50
mQ1
2,416.73
mQ3
3,735.77
mU1
3,576.18
mU3
2,203.49
mD1
1,498.79
mD3
2,945.51
At
3,649.01
Ab
-2,729.32
Atau
2,080.04
mu
723.02
mA
3,181.51
tan(beta)
34.61
The truth!
6
M_1
-860.29
M_2
121.74
M_3
1,516.19
mL1
1,831.33
mL3
3,744.56
mE1
234.21
mE3
1,142.20
mQ1
2,448.75
mQ3
3,249.26
mU1
981.03
mU3
1,746.93
mD1
278.24
mD3
1,381.30
At
3,490.44
Ab
-567.86
Atau
-3,256.13
mu
-3,290.10
mA
3,256.83
tan(beta)
30.66
The truth!
7
M_1
-494.13
M_2
1,361.78
M_3
2,219.23
mL1
1,220.45
mL3
3,673.02
mE1
1,696.28
mE3
1,768.07
mQ1
1,289.86
mQ3
1,167.81
mU1
2,486.38
mU3
624.97
mD1
1,633.49
mD3
3,339.16
At
1,477.87
Ab
2,859.85
Atau
-287.89
mu
-1,157.57
mA
2,974.26
tan(beta)
15.74
The truth!
8
M_1
1,741.35
M_2
-663.36
M_3
3,804.06
mL1
1,727.38
mL3
2,042.31
mE1
3,464.58
mE3
697.30
mQ1
2,060.10
mQ3
2,800.21
mU1
2,893.80
mU3
1,973.19
mD1
1,178.55
mD3
3,841.21
At
-2,571.20
Ab
2,899.90
Atau
-2,538.77
mu
-325.68
mA
1,680.32
tan(beta)
19.44
The truth!
9
M_1
-1,104.25
M_2
-173.99
M_3
3,739.09
mL1
3,840.51
mL3
1,689.63
mE1
3,274.89
mE3
542.42
mQ1
1,402.85
mQ3
2,711.14
mU1
1,143.14
mU3
2,079.33
mD1
3,222.17
mD3
2,089.38
At
3,061.45
Ab
1,415.15
Atau
-706.91
mu
1,699.99
mA
3,263.94
tan(beta)
22.94
The truth!
10
M_1
3,735.28
M_2
-276.99
M_3
3,493.33
mL1
1,012.85
mL3
3,910.15
mE1
1,669.69
mE3
521.09
mQ1
3,834.59
mQ3
3,047.73
mU1
2,883.71
mU3
2,920.53
mD1
1,627.29
mD3
2,220.16
At
3,659.90
Ab
-134.37
Atau
805.25
mu
-3,994.61
mA
1,024.69
tan(beta)
14.04
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