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
-519.99
M_2
255.30
M_3
3,076.16
mL1
2,674.26
mL3
1,504.08
mE1
3,865.16
mE3
3,067.31
mQ1
3,704.99
mQ3
2,708.07
mU1
2,238.31
mU3
3,724.81
mD1
1,371.24
mD3
456.99
At
-1,134.81
Ab
1,977.40
Atau
-2,866.20
mu
-139.89
mA
2,329.92
tan(beta)
15.66
The truth!
2
M_1
-417.24
M_2
-237.92
M_3
1,954.62
mL1
3,623.03
mL3
625.36
mE1
3,791.85
mE3
2,709.41
mQ1
1,375.53
mQ3
3,552.71
mU1
3,948.69
mU3
1,746.04
mD1
3,029.34
mD3
2,682.55
At
-3,573.13
Ab
-3,853.70
Atau
2,797.82
mu
-798.30
mA
3,294.84
tan(beta)
7.16
The truth!
3
M_1
3,606.37
M_2
767.96
M_3
3,892.92
mL1
2,959.92
mL3
1,412.30
mE1
3,814.40
mE3
2,272.17
mQ1
2,052.37
mQ3
2,421.85
mU1
1,549.77
mU3
1,225.52
mD1
2,014.71
mD3
1,189.43
At
-3,571.49
Ab
2,855.34
Atau
2,771.29
mu
3,533.36
mA
3,061.45
tan(beta)
21.06
The truth!
4
M_1
3,124.62
M_2
-232.12
M_3
618.84
mL1
504.14
mL3
3,144.56
mE1
1,702.40
mE3
1,187.66
mQ1
3,100.54
mQ3
1,618.72
mU1
3,653.08
mU3
2,172.71
mD1
2,100.34
mD3
904.09
At
-2,459.74
Ab
-1,689.53
Atau
1,503.88
mu
2,038.21
mA
3,678.80
tan(beta)
46.48
The truth!
5
M_1
-1,589.05
M_2
517.28
M_3
3,852.22
mL1
1,807.22
mL3
2,582.98
mE1
1,798.66
mE3
2,776.43
mQ1
3,748.81
mQ3
3,404.84
mU1
1,663.12
mU3
3,036.01
mD1
2,527.51
mD3
3,136.08
At
3,595.18
Ab
-947.82
Atau
3,649.99
mu
-3,886.54
mA
1,302.60
tan(beta)
9.14
The truth!
6
M_1
-165.29
M_2
164.87
M_3
2,140.50
mL1
733.33
mL3
546.49
mE1
551.57
mE3
3,440.30
mQ1
1,605.27
mQ3
1,286.36
mU1
1,767.83
mU3
3,091.62
mD1
2,238.65
mD3
2,688.50
At
-2,838.73
Ab
-1,529.42
Atau
450.41
mu
3,959.58
mA
1,387.62
tan(beta)
12.79
The truth!
7
M_1
221.67
M_2
209.84
M_3
2,832.74
mL1
2,103.03
mL3
2,564.16
mE1
3,486.15
mE3
3,660.77
mQ1
3,060.94
mQ3
1,095.42
mU1
2,904.74
mU3
3,603.97
mD1
3,645.86
mD3
2,791.78
At
3,971.88
Ab
-2,338.88
Atau
3,152.22
mu
-3,985.56
mA
1,240.18
tan(beta)
5.08
The truth!
8
M_1
-332.48
M_2
1,067.73
M_3
2,101.87
mL1
2,956.07
mL3
224.85
mE1
2,317.49
mE3
3,288.05
mQ1
356.97
mQ3
3,630.92
mU1
3,511.66
mU3
2,882.29
mD1
424.80
mD3
3,998.84
At
-5,342.17
Ab
2,683.82
Atau
696.45
mu
240.16
mA
1,162.82
tan(beta)
7.59
The truth!
9
M_1
2,315.70
M_2
-529.36
M_3
2,596.86
mL1
2,507.46
mL3
930.58
mE1
1,155.34
mE3
3,660.39
mQ1
2,143.31
mQ3
1,343.77
mU1
3,255.89
mU3
1,863.74
mD1
3,154.18
mD3
3,239.97
At
2,557.52
Ab
-3,407.88
Atau
-1,905.61
mu
-702.31
mA
2,033.92
tan(beta)
8.97
The truth!
10
M_1
1,304.98
M_2
3,171.52
M_3
2,279.61
mL1
3,948.14
mL3
324.22
mE1
124.97
mE3
536.74
mQ1
3,411.15
mQ3
3,179.97
mU1
1,428.03
mU3
3,329.08
mD1
2,289.37
mD3
3,277.56
At
4,094.13
Ab
-1,320.05
Atau
1,498.26
mu
-159.57
mA
3,457.79
tan(beta)
45.42
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