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
-342.07
M_2
-2,866.56
M_3
460.20
mL1
2,057.62
mL3
1,566.72
mE1
3,245.44
mE3
1,117.36
mQ1
367.24
mQ3
853.98
mU1
2,750.03
mU3
1,728.31
mD1
2,855.35
mD3
2,924.62
At
2,119.94
Ab
-1,253.06
Atau
2,145.16
mu
-1,572.18
mA
1,948.19
tan(beta)
33.18
The truth!
2
M_1
-1,962.63
M_2
-1,644.35
M_3
1,876.74
mL1
2,966.10
mL3
3,689.29
mE1
2,105.87
mE3
2,015.40
mQ1
2,171.30
mQ3
2,213.91
mU1
3,479.39
mU3
3,754.58
mD1
3,411.98
mD3
2,717.29
At
2,913.16
Ab
-1,546.01
Atau
-745.10
mu
-1,126.74
mA
1,419.30
tan(beta)
18.87
The truth!
3
M_1
3,045.69
M_2
274.72
M_3
1,508.85
mL1
3,351.20
mL3
3,762.04
mE1
3,574.85
mE3
308.00
mQ1
908.26
mQ3
867.49
mU1
2,266.47
mU3
2,839.45
mD1
1,697.89
mD3
696.61
At
-3,214.71
Ab
-2,332.39
Atau
1,698.16
mu
1,039.08
mA
3,672.14
tan(beta)
25.79
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
1,898.06
M_2
2,828.49
M_3
3,496.70
mL1
1,365.36
mL3
1,444.46
mE1
1,594.39
mE3
3,624.35
mQ1
2,531.82
mQ3
3,114.71
mU1
3,282.08
mU3
2,760.42
mD1
1,065.97
mD3
3,707.07
At
-3,652.05
Ab
-1,979.36
Atau
1,671.25
mu
166.58
mA
1,236.30
tan(beta)
49.30
The truth!
6
M_1
1,873.64
M_2
1,049.11
M_3
2,049.19
mL1
1,932.60
mL3
2,136.68
mE1
1,845.07
mE3
3,250.02
mQ1
1,486.11
mQ3
2,550.29
mU1
1,212.55
mU3
3,574.75
mD1
2,082.73
mD3
998.34
At
-2,621.74
Ab
3,592.34
Atau
333.66
mu
-151.34
mA
1,874.65
tan(beta)
31.00
The truth!
7
M_1
-1,732.49
M_2
-3,926.87
M_3
495.98
mL1
1,134.56
mL3
2,688.70
mE1
1,903.34
mE3
540.31
mQ1
3,447.03
mQ3
1,279.66
mU1
711.25
mU3
2,271.98
mD1
1,399.22
mD3
1,198.49
At
2,681.23
Ab
-1,528.95
Atau
-2,347.05
mu
-473.63
mA
2,227.14
tan(beta)
8.99
The truth!
8
M_1
1,782.39
M_2
242.32
M_3
527.68
mL1
3,581.72
mL3
636.14
mE1
2,001.86
mE3
3,454.08
mQ1
3,352.85
mQ3
3,422.16
mU1
3,917.09
mU3
1,796.32
mD1
2,904.91
mD3
3,995.61
At
3,080.60
Ab
3,122.21
Atau
847.69
mu
-1,483.01
mA
2,128.15
tan(beta)
27.95
The truth!
9
M_1
-559.79
M_2
535.88
M_3
996.36
mL1
1,771.64
mL3
1,562.42
mE1
2,736.30
mE3
3,532.81
mQ1
1,427.16
mQ3
1,466.38
mU1
879.13
mU3
1,617.14
mD1
2,460.27
mD3
2,165.66
At
-3,013.83
Ab
3,516.50
Atau
3,260.84
mu
-1,927.07
mA
3,732.36
tan(beta)
14.98
The truth!
10
M_1
1,216.83
M_2
1,153.24
M_3
2,042.48
mL1
752.20
mL3
2,458.82
mE1
1,399.66
mE3
3,113.80
mQ1
1,522.47
mQ3
2,159.34
mU1
229.64
mU3
2,888.42
mD1
3,210.56
mD3
282.75
At
3,543.90
Ab
3,535.71
Atau
3,425.16
mu
-440.01
mA
2,190.70
tan(beta)
14.70
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