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
-1,723.76
M_2
-3,310.94
M_3
2,161.31
mL1
1,925.79
mL3
2,372.81
mE1
2,321.56
mE3
3,993.83
mQ1
3,163.04
mQ3
1,657.37
mU1
3,190.00
mU3
3,672.69
mD1
2,762.81
mD3
2,736.71
At
-3,508.85
Ab
-1,941.74
Atau
3,172.37
mu
2,939.87
mA
3,429.48
tan(beta)
57.21
The truth!
2
M_1
-567.07
M_2
-1,437.86
M_3
491.97
mL1
3,555.94
mL3
2,906.70
mE1
1,080.15
mE3
2,056.13
mQ1
1,306.07
mQ3
2,296.27
mU1
2,359.00
mU3
2,001.17
mD1
3,537.52
mD3
974.29
At
3,522.36
Ab
1,988.65
Atau
-3,787.84
mu
-632.76
mA
1,049.78
tan(beta)
12.54
The truth!
3
M_1
1,952.18
M_2
674.10
M_3
2,651.29
mL1
1,306.67
mL3
2,812.76
mE1
2,528.13
mE3
1,925.96
mQ1
2,097.62
mQ3
1,611.33
mU1
1,882.11
mU3
2,231.53
mD1
3,558.19
mD3
3,602.32
At
-3,131.44
Ab
-3,264.92
Atau
-2,846.05
mu
2,071.56
mA
4,399.10
tan(beta)
58.55
The truth!
4
M_1
3,194.18
M_2
-539.95
M_3
1,937.17
mL1
2,097.50
mL3
3,916.04
mE1
1,762.34
mE3
3,599.14
mQ1
704.02
mQ3
3,088.92
mU1
1,133.30
mU3
2,981.67
mD1
2,438.78
mD3
451.82
At
-6,031.23
Ab
-2,295.77
Atau
-2,776.97
mu
3,037.36
mA
2,333.40
tan(beta)
3.89
The truth!
5
M_1
-441.04
M_2
3,366.63
M_3
3,238.26
mL1
3,358.00
mL3
2,230.00
mE1
2,701.46
mE3
1,430.55
mQ1
333.51
mQ3
3,466.62
mU1
473.48
mU3
1,328.74
mD1
399.41
mD3
1,521.04
At
-4,360.27
Ab
-3,897.06
Atau
1,448.91
mu
1,294.32
mA
3,322.20
tan(beta)
58.77
The truth!
6
M_1
3,979.79
M_2
-2,317.92
M_3
2,669.47
mL1
1,653.17
mL3
3,310.91
mE1
2,140.95
mE3
2,153.62
mQ1
3,416.94
mQ3
3,849.97
mU1
2,668.35
mU3
3,200.77
mD1
3,295.52
mD3
1,732.72
At
-4,144.72
Ab
-842.76
Atau
1,039.63
mu
1,053.60
mA
3,682.80
tan(beta)
30.59
The truth!
7
M_1
2,249.80
M_2
3,417.56
M_3
3,982.28
mL1
3,492.91
mL3
3,877.70
mE1
3,828.80
mE3
1,405.25
mQ1
1,934.10
mQ3
3,277.15
mU1
3,772.19
mU3
3,490.29
mD1
371.48
mD3
1,104.29
At
-3,141.99
Ab
-1,989.12
Atau
-2,415.18
mu
337.96
mA
2,448.19
tan(beta)
52.93
The truth!
8
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!
9
M_1
-690.33
M_2
-3,388.43
M_3
2,283.56
mL1
3,628.64
mL3
3,929.11
mE1
3,935.60
mE3
1,509.62
mQ1
3,200.70
mQ3
3,182.66
mU1
3,954.25
mU3
1,894.49
mD1
3,678.07
mD3
2,351.10
At
3,710.22
Ab
3,922.72
Atau
-3,221.46
mu
-444.42
mA
3,393.36
tan(beta)
37.32
The truth!
10
M_1
-2,222.38
M_2
214.36
M_3
1,849.49
mL1
1,217.58
mL3
3,418.04
mE1
2,011.52
mE3
3,169.28
mQ1
1,925.46
mQ3
2,664.73
mU1
1,000.47
mU3
3,748.00
mD1
1,861.55
mD3
573.98
At
-2,982.89
Ab
-670.17
Atau
3,708.95
mu
1,358.61
mA
2,786.92
tan(beta)
55.52
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