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
2,254.27
M_2
-872.32
M_3
3,943.57
mL1
1,232.46
mL3
3,514.07
mE1
1,510.21
mE3
861.83
mQ1
3,432.09
mQ3
3,106.56
mU1
3,940.46
mU3
3,597.56
mD1
2,764.35
mD3
2,853.56
At
4,530.00
Ab
-2,307.04
Atau
-1,872.72
mu
335.96
mA
2,275.51
tan(beta)
12.89
The truth!
2
M_1
3,145.09
M_2
-509.96
M_3
2,094.72
mL1
930.71
mL3
3,604.42
mE1
3,973.01
mE3
3,480.53
mQ1
3,960.80
mQ3
1,490.68
mU1
2,895.91
mU3
3,872.41
mD1
2,544.65
mD3
2,738.48
At
-3,777.83
Ab
3,174.31
Atau
-336.15
mu
-1,282.28
mA
3,661.03
tan(beta)
6.87
The truth!
3
M_1
1,559.26
M_2
111.19
M_3
3,420.41
mL1
2,309.96
mL3
1,716.32
mE1
3,619.82
mE3
2,787.13
mQ1
3,618.28
mQ3
1,174.36
mU1
1,337.79
mU3
2,067.59
mD1
3,834.89
mD3
1,583.75
At
-2,393.18
Ab
-60.14
Atau
-3,013.61
mu
4,006.82
mA
608.93
tan(beta)
5.93
The truth!
4
M_1
-3,290.71
M_2
3,365.39
M_3
1,018.69
mL1
3,115.67
mL3
1,858.69
mE1
3,350.29
mE3
1,632.68
mQ1
1,502.94
mQ3
3,881.14
mU1
621.46
mU3
2,717.58
mD1
1,633.22
mD3
2,946.24
At
4,709.69
Ab
-2,867.29
Atau
-2,602.03
mu
408.71
mA
3,321.21
tan(beta)
20.13
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
1,483.78
M_2
-3,839.61
M_3
3,793.83
mL1
1,929.54
mL3
2,593.99
mE1
3,898.06
mE3
2,514.32
mQ1
1,616.93
mQ3
3,097.14
mU1
3,061.03
mU3
2,457.55
mD1
1,311.00
mD3
2,534.13
At
4,072.74
Ab
-432.94
Atau
-2,133.68
mu
-315.37
mA
2,725.09
tan(beta)
25.71
The truth!
7
M_1
-2,484.08
M_2
-1,081.29
M_3
1,809.98
mL1
911.64
mL3
3,880.67
mE1
893.68
mE3
1,192.43
mQ1
2,889.55
mQ3
3,069.99
mU1
3,412.04
mU3
2,841.35
mD1
3,966.45
mD3
997.14
At
-3,909.24
Ab
-3,298.65
Atau
2,534.38
mu
410.10
mA
1,146.96
tan(beta)
44.92
The truth!
8
M_1
1,219.76
M_2
233.46
M_3
1,605.56
mL1
2,231.86
mL3
3,011.45
mE1
1,778.50
mE3
303.06
mQ1
3,912.73
mQ3
2,614.60
mU1
3,073.40
mU3
1,743.22
mD1
2,157.08
mD3
1,297.50
At
2,340.10
Ab
2,509.26
Atau
-3,676.30
mu
-432.34
mA
608.47
tan(beta)
13.22
The truth!
9
M_1
3,998.36
M_2
3,227.07
M_3
3,482.92
mL1
3,263.25
mL3
458.61
mE1
3,566.25
mE3
3,889.77
mQ1
704.03
mQ3
3,601.64
mU1
3,547.97
mU3
1,426.06
mD1
2,804.13
mD3
2,241.84
At
-3,724.78
Ab
-287.97
Atau
-1,157.24
mu
256.11
mA
1,095.50
tan(beta)
9.42
The truth!
10
M_1
-2,338.84
M_2
-269.27
M_3
3,305.30
mL1
1,131.59
mL3
1,396.25
mE1
2,687.53
mE3
3,143.53
mQ1
653.33
mQ3
1,349.03
mU1
236.33
mU3
3,160.53
mD1
3,056.73
mD3
1,147.75
At
-6,097.58
Ab
778.86
Atau
1,879.47
mu
1,134.99
mA
2,694.82
tan(beta)
9.13
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