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
-47.13
M_2
-1,601.00
M_3
3,432.25
mL1
1,159.09
mL3
318.87
mE1
3,115.23
mE3
689.71
mQ1
2,355.37
mQ3
3,753.82
mU1
1,941.01
mU3
824.42
mD1
3,511.76
mD3
3,292.12
At
-3,491.48
Ab
-3,125.51
Atau
-1,578.30
mu
285.76
mA
3,693.96
tan(beta)
17.07
The truth!
2
M_1
2,167.98
M_2
302.72
M_3
298.56
mL1
2,402.54
mL3
2,819.53
mE1
1,531.79
mE3
1,131.26
mQ1
1,065.62
mQ3
2,036.61
mU1
540.43
mU3
2,494.49
mD1
3,615.83
mD3
2,118.47
At
3,337.73
Ab
-922.64
Atau
-717.51
mu
-2,251.26
mA
1,855.28
tan(beta)
25.56
The truth!
3
M_1
2,997.99
M_2
239.75
M_3
1,401.19
mL1
3,363.83
mL3
2,527.41
mE1
2,850.40
mE3
2,390.35
mQ1
1,134.20
mQ3
1,158.58
mU1
1,550.83
mU3
2,330.96
mD1
476.24
mD3
3,237.22
At
-2,936.80
Ab
-765.24
Atau
1,995.13
mu
-520.96
mA
3,827.87
tan(beta)
29.84
The truth!
4
M_1
1,939.04
M_2
152.84
M_3
3,329.05
mL1
1,503.76
mL3
2,191.24
mE1
2,381.44
mE3
1,727.23
mQ1
2,479.19
mQ3
3,871.83
mU1
3,017.71
mU3
3,307.00
mD1
2,581.17
mD3
3,072.74
At
-1,597.04
Ab
3,324.88
Atau
-525.69
mu
-445.51
mA
2,726.79
tan(beta)
42.07
The truth!
5
M_1
-941.10
M_2
-3,562.43
M_3
2,419.15
mL1
1,004.18
mL3
2,482.24
mE1
2,128.03
mE3
1,910.48
mQ1
629.78
mQ3
1,922.62
mU1
1,111.78
mU3
1,563.06
mD1
3,085.87
mD3
2,711.80
At
-4,882.22
Ab
-3,846.93
Atau
-2,616.41
mu
234.70
mA
1,200.77
tan(beta)
24.66
The truth!
6
M_1
63.34
M_2
1,529.56
M_3
342.52
mL1
689.75
mL3
1,078.04
mE1
1,358.28
mE3
951.04
mQ1
1,391.51
mQ3
2,850.39
mU1
3,221.49
mU3
2,692.49
mD1
2,465.38
mD3
2,978.72
At
-3,350.96
Ab
-792.89
Atau
3,429.91
mu
-160.93
mA
1,424.19
tan(beta)
9.57
The truth!
7
M_1
708.60
M_2
1,778.11
M_3
1,517.70
mL1
1,132.59
mL3
999.63
mE1
949.92
mE3
1,920.87
mQ1
862.97
mQ3
3,035.11
mU1
1,527.01
mU3
3,978.45
mD1
2,609.07
mD3
3,430.06
At
5,102.15
Ab
3,387.65
Atau
3,586.30
mu
-2,199.40
mA
1,297.68
tan(beta)
9.58
The truth!
8
M_1
-601.50
M_2
-3,868.88
M_3
1,014.31
mL1
1,567.29
mL3
1,712.45
mE1
2,820.85
mE3
2,574.28
mQ1
529.53
mQ3
2,310.59
mU1
1,345.26
mU3
2,215.01
mD1
736.43
mD3
1,556.99
At
-3,109.23
Ab
1,531.83
Atau
3,757.69
mu
2,566.75
mA
2,801.51
tan(beta)
13.55
The truth!
9
M_1
-2,433.54
M_2
-1,983.24
M_3
2,732.02
mL1
1,201.69
mL3
1,500.60
mE1
541.38
mE3
1,542.99
mQ1
720.65
mQ3
2,765.78
mU1
3,158.19
mU3
3,387.72
mD1
2,493.54
mD3
1,994.32
At
-4,201.41
Ab
348.83
Atau
2,157.87
mu
466.32
mA
1,026.98
tan(beta)
28.57
The truth!
10
M_1
-1,197.31
M_2
-764.76
M_3
3,093.73
mL1
3,435.06
mL3
1,550.76
mE1
1,281.08
mE3
3,237.73
mQ1
3,862.89
mQ3
3,748.09
mU1
1,770.84
mU3
2,794.92
mD1
2,280.79
mD3
2,463.71
At
3,830.16
Ab
3,642.50
Atau
-1,387.47
mu
-2,209.94
mA
2,693.96
tan(beta)
22.63
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