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
-3,495.34
M_2
-3,190.42
M_3
1,098.00
mL1
3,703.35
mL3
2,214.11
mE1
3,730.63
mE3
1,501.17
mQ1
2,266.23
mQ3
481.82
mU1
2,114.30
mU3
3,843.43
mD1
2,285.38
mD3
3,709.68
At
-3,346.83
Ab
-3,644.70
Atau
3,831.99
mu
-516.86
mA
2,640.77
tan(beta)
10.59
The truth!
2
M_1
-277.10
M_2
-922.48
M_3
1,533.30
mL1
282.80
mL3
1,950.28
mE1
2,806.69
mE3
3,948.37
mQ1
3,908.85
mQ3
3,578.11
mU1
858.96
mU3
3,207.62
mD1
1,089.08
mD3
174.16
At
3,029.58
Ab
205.71
Atau
1,461.17
mu
200.91
mA
3,066.51
tan(beta)
22.76
The truth!
3
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!
4
M_1
1,080.10
M_2
1,983.95
M_3
894.31
mL1
2,267.12
mL3
2,332.05
mE1
3,809.88
mE3
3,190.99
mQ1
3,810.79
mQ3
2,238.92
mU1
1,781.74
mU3
3,106.74
mD1
3,235.12
mD3
1,762.77
At
-4,388.55
Ab
3,777.49
Atau
279.04
mu
1,119.10
mA
2,743.28
tan(beta)
6.00
The truth!
5
M_1
61.40
M_2
945.92
M_3
2,320.26
mL1
991.32
mL3
250.11
mE1
1,127.10
mE3
2,152.65
mQ1
3,838.53
mQ3
1,814.78
mU1
3,565.36
mU3
2,920.93
mD1
2,187.94
mD3
873.44
At
-5,405.80
Ab
-2,569.90
Atau
103.35
mu
1,034.28
mA
1,632.83
tan(beta)
3.79
The truth!
6
M_1
1,968.05
M_2
430.55
M_3
3,545.62
mL1
1,891.44
mL3
3,809.56
mE1
3,085.24
mE3
3,253.13
mQ1
692.35
mQ3
3,106.82
mU1
1,001.47
mU3
1,685.77
mD1
3,434.16
mD3
1,485.54
At
-2,920.14
Ab
-3,212.45
Atau
-22.09
mu
2,821.81
mA
1,629.00
tan(beta)
22.60
The truth!
7
M_1
-787.38
M_2
-752.08
M_3
1,938.80
mL1
977.11
mL3
2,040.22
mE1
942.99
mE3
3,751.42
mQ1
2,572.62
mQ3
2,347.13
mU1
2,610.44
mU3
2,883.39
mD1
798.79
mD3
3,933.53
At
3,599.26
Ab
38.97
Atau
2,460.09
mu
1,109.10
mA
2,486.09
tan(beta)
21.66
The truth!
8
M_1
472.77
M_2
-1,046.21
M_3
2,790.55
mL1
2,800.63
mL3
3,544.60
mE1
3,092.23
mE3
2,942.53
mQ1
415.97
mQ3
2,025.45
mU1
2,162.73
mU3
1,624.23
mD1
1,430.06
mD3
2,793.87
At
-3,899.57
Ab
-2,979.89
Atau
-945.54
mu
1,136.59
mA
1,141.03
tan(beta)
6.79
The truth!
9
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!
10
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!
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