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
3,680.26
M_2
102.28
M_3
1,467.52
mL1
692.85
mL3
1,613.25
mE1
1,005.81
mE3
3,928.31
mQ1
3,632.58
mQ3
3,108.12
mU1
2,081.00
mU3
3,850.66
mD1
1,607.29
mD3
1,346.24
At
201.78
Ab
-2,255.04
Atau
-1,483.18
mu
748.11
mA
934.63
tan(beta)
51.14
The truth!
2
M_1
2,118.90
M_2
-453.80
M_3
3,679.94
mL1
3,843.88
mL3
502.41
mE1
3,548.97
mE3
2,328.50
mQ1
2,431.16
mQ3
3,030.28
mU1
838.68
mU3
2,204.64
mD1
510.26
mD3
626.12
At
2,846.19
Ab
-3,889.31
Atau
-2,284.37
mu
1,160.15
mA
3,465.67
tan(beta)
28.51
The truth!
3
M_1
2,475.78
M_2
2,410.78
M_3
2,437.57
mL1
3,115.03
mL3
2,813.01
mE1
3,925.57
mE3
3,871.89
mQ1
848.46
mQ3
2,367.51
mU1
1,263.18
mU3
3,604.03
mD1
2,434.54
mD3
719.05
At
3,062.58
Ab
1,419.67
Atau
-61.33
mu
-414.83
mA
3,024.33
tan(beta)
46.63
The truth!
4
M_1
2,672.50
M_2
1,256.89
M_3
1,925.63
mL1
3,876.93
mL3
2,918.44
mE1
3,325.95
mE3
3,424.93
mQ1
3,536.53
mQ3
1,405.96
mU1
2,868.66
mU3
2,137.93
mD1
1,371.10
mD3
1,272.68
At
-3,465.99
Ab
554.03
Atau
436.22
mu
2,997.32
mA
2,661.18
tan(beta)
14.19
The truth!
5
M_1
916.90
M_2
901.71
M_3
3,572.66
mL1
1,225.94
mL3
3,633.52
mE1
3,763.47
mE3
2,957.09
mQ1
3,839.98
mQ3
3,796.68
mU1
2,842.90
mU3
3,036.21
mD1
2,452.63
mD3
860.31
At
2,353.16
Ab
2,105.14
Atau
-3,746.52
mu
-1,024.10
mA
2,204.14
tan(beta)
20.44
The truth!
6
M_1
542.18
M_2
2,473.54
M_3
3,115.58
mL1
2,359.34
mL3
760.63
mE1
1,210.67
mE3
1,940.16
mQ1
2,780.67
mQ3
2,847.53
mU1
2,101.90
mU3
3,150.62
mD1
3,973.51
mD3
2,600.75
At
-4,781.42
Ab
-654.92
Atau
-1,296.47
mu
-421.99
mA
3,171.04
tan(beta)
15.02
The truth!
7
M_1
-2,014.37
M_2
196.25
M_3
2,916.14
mL1
811.94
mL3
2,606.76
mE1
3,889.70
mE3
2,227.28
mQ1
3,031.45
mQ3
1,184.92
mU1
2,684.53
mU3
3,855.37
mD1
2,940.46
mD3
2,881.08
At
3,215.11
Ab
-2,752.29
Atau
1,588.68
mu
175.45
mA
2,770.81
tan(beta)
26.55
The truth!
8
M_1
-740.66
M_2
3,612.59
M_3
3,982.16
mL1
2,771.25
mL3
2,718.49
mE1
2,282.71
mE3
2,986.50
mQ1
1,893.00
mQ3
3,782.87
mU1
3,926.98
mU3
2,709.69
mD1
476.66
mD3
1,460.18
At
3,607.38
Ab
-1,093.99
Atau
-1,838.38
mu
-1,380.74
mA
2,201.21
tan(beta)
56.12
The truth!
9
M_1
-2,646.76
M_2
3,071.01
M_3
689.90
mL1
2,431.43
mL3
896.89
mE1
734.86
mE3
2,136.03
mQ1
1,549.02
mQ3
3,583.96
mU1
3,824.79
mU3
3,075.25
mD1
3,756.95
mD3
1,048.83
At
3,492.30
Ab
-1,643.92
Atau
-2,586.01
mu
-629.90
mA
2,339.83
tan(beta)
19.13
The truth!
10
M_1
-2,338.84
M_2
-269.27
M_3
3,305.30
mL1
1,131.59
mL3
1,396.25
mE1
2,687.53
mE3
3,143.53
mQ1
653.33
mQ3
1,349.03
mU1
236.33
mU3
3,160.53
mD1
3,056.73
mD3
1,147.75
At
-6,097.58
Ab
778.86
Atau
1,879.47
mu
1,134.99
mA
2,694.82
tan(beta)
9.13
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