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
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!
2
M_1
3,145.09
M_2
-509.96
M_3
2,094.72
mL1
930.71
mL3
3,604.42
mE1
3,973.01
mE3
3,480.53
mQ1
3,960.80
mQ3
1,490.68
mU1
2,895.91
mU3
3,872.41
mD1
2,544.65
mD3
2,738.48
At
-3,777.83
Ab
3,174.31
Atau
-336.15
mu
-1,282.28
mA
3,661.03
tan(beta)
6.87
The truth!
3
M_1
1,990.45
M_2
-3,137.93
M_3
2,619.71
mL1
2,252.27
mL3
562.59
mE1
3,390.20
mE3
2,160.68
mQ1
2,530.23
mQ3
3,458.20
mU1
1,598.16
mU3
1,545.99
mD1
906.08
mD3
2,504.97
At
2,857.13
Ab
1,805.77
Atau
225.47
mu
232.34
mA
3,576.24
tan(beta)
59.04
The truth!
4
M_1
-266.02
M_2
1,343.03
M_3
1,599.77
mL1
2,609.44
mL3
1,464.76
mE1
436.33
mE3
1,715.64
mQ1
2,389.36
mQ3
3,165.44
mU1
1,819.40
mU3
2,266.91
mD1
1,602.10
mD3
1,268.70
At
2,754.68
Ab
-186.98
Atau
1,871.06
mu
-267.43
mA
2,597.73
tan(beta)
24.65
The truth!
5
M_1
-700.49
M_2
3,526.24
M_3
1,705.02
mL1
1,397.74
mL3
2,760.06
mE1
3,175.56
mE3
2,466.51
mQ1
2,528.27
mQ3
1,924.03
mU1
1,417.14
mU3
3,736.49
mD1
3,260.35
mD3
3,879.59
At
-3,739.72
Ab
-468.20
Atau
973.04
mu
577.07
mA
1,339.65
tan(beta)
26.34
The truth!
6
M_1
-621.20
M_2
-1,175.16
M_3
3,851.73
mL1
3,491.95
mL3
3,942.65
mE1
3,370.65
mE3
2,328.25
mQ1
1,796.20
mQ3
2,740.23
mU1
2,566.23
mU3
3,829.76
mD1
1,011.04
mD3
626.85
At
2,674.69
Ab
-2,635.56
Atau
2,865.49
mu
-655.96
mA
2,176.93
tan(beta)
47.49
The truth!
7
M_1
-220.21
M_2
-1,560.87
M_3
3,747.98
mL1
147.82
mL3
2,418.37
mE1
782.39
mE3
911.17
mQ1
1,276.05
mQ3
1,929.81
mU1
2,896.72
mU3
3,853.92
mD1
3,964.70
mD3
780.41
At
-3,981.38
Ab
2,418.97
Atau
306.36
mu
-851.14
mA
3,305.13
tan(beta)
20.79
The truth!
8
M_1
3,383.30
M_2
1,364.80
M_3
3,126.30
mL1
1,561.52
mL3
2,176.60
mE1
3,855.26
mE3
1,486.27
mQ1
2,538.39
mQ3
2,579.72
mU1
3,205.50
mU3
3,937.52
mD1
1,401.75
mD3
2,837.51
At
-3,130.38
Ab
-2,195.45
Atau
2,321.91
mu
3,377.39
mA
1,274.62
tan(beta)
14.59
The truth!
9
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!
10
M_1
-2,389.60
M_2
-3,148.53
M_3
3,409.30
mL1
1,402.76
mL3
2,841.32
mE1
3,769.60
mE3
1,229.70
mQ1
3,559.86
mQ3
2,468.48
mU1
3,559.59
mU3
3,755.43
mD1
861.07
mD3
1,916.71
At
3,878.56
Ab
-2,216.76
Atau
-3,653.90
mu
-592.47
mA
2,692.72
tan(beta)
24.28
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