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
-381.65
M_2
151.97
M_3
1,950.33
mL1
3,666.91
mL3
558.01
mE1
271.90
mE3
2,100.32
mQ1
3,939.95
mQ3
3,276.26
mU1
2,694.78
mU3
1,985.90
mD1
3,550.84
mD3
3,670.82
At
3,506.13
Ab
2,411.67
Atau
205.01
mu
-1,437.75
mA
3,454.31
tan(beta)
31.18
The truth!
2
M_1
-3,268.79
M_2
2,978.52
M_3
3,468.44
mL1
2,896.36
mL3
1,032.13
mE1
1,286.97
mE3
2,851.06
mQ1
731.12
mQ3
2,964.84
mU1
2,871.05
mU3
3,635.24
mD1
1,015.20
mD3
3,362.44
At
-4,527.83
Ab
1,709.03
Atau
-1,905.24
mu
293.92
mA
2,718.29
tan(beta)
34.27
The truth!
3
M_1
-777.53
M_2
2,741.49
M_3
2,984.92
mL1
999.10
mL3
3,351.05
mE1
2,972.68
mE3
3,311.90
mQ1
2,398.66
mQ3
3,692.15
mU1
834.83
mU3
692.07
mD1
1,632.25
mD3
1,905.37
At
-4,334.40
Ab
2,562.52
Atau
-1,433.66
mu
2,807.53
mA
1,951.79
tan(beta)
18.71
The truth!
4
M_1
558.50
M_2
-2,723.54
M_3
1,566.80
mL1
3,167.07
mL3
2,315.19
mE1
788.54
mE3
2,829.09
mQ1
1,759.05
mQ3
551.63
mU1
666.71
mU3
2,180.01
mD1
3,162.60
mD3
2,223.46
At
2,653.94
Ab
-708.00
Atau
1,229.03
mu
2,851.06
mA
4,017.52
tan(beta)
58.04
The truth!
5
M_1
-1,526.13
M_2
1,070.57
M_3
1,944.18
mL1
2,767.25
mL3
1,308.09
mE1
1,839.41
mE3
1,511.93
mQ1
3,176.73
mQ3
3,467.00
mU1
3,026.18
mU3
2,804.33
mD1
3,892.87
mD3
3,702.95
At
3,379.44
Ab
1,239.31
Atau
-1,367.97
mu
-2,499.47
mA
3,140.76
tan(beta)
41.00
The truth!
6
M_1
264.12
M_2
256.57
M_3
3,785.95
mL1
2,646.92
mL3
2,578.14
mE1
2,202.09
mE3
2,971.24
mQ1
3,432.13
mQ3
2,929.68
mU1
1,124.76
mU3
2,642.93
mD1
1,761.23
mD3
2,984.85
At
-3,377.05
Ab
3,835.84
Atau
-3,094.43
mu
-1,062.00
mA
3,065.12
tan(beta)
12.37
The truth!
7
M_1
2,538.64
M_2
126.27
M_3
1,102.76
mL1
1,901.21
mL3
3,856.08
mE1
705.14
mE3
3,426.26
mQ1
1,508.78
mQ3
2,906.43
mU1
770.63
mU3
2,309.70
mD1
3,999.52
mD3
3,626.78
At
2,673.18
Ab
-1,822.31
Atau
-2,434.30
mu
-3,867.51
mA
3,607.65
tan(beta)
13.48
The truth!
8
M_1
2,281.23
M_2
-325.60
M_3
2,235.05
mL1
655.90
mL3
1,428.11
mE1
3,856.16
mE3
1,244.11
mQ1
3,217.78
mQ3
3,802.42
mU1
660.28
mU3
593.25
mD1
2,949.92
mD3
929.21
At
-3,176.73
Ab
3,705.16
Atau
-1,133.23
mu
3,220.67
mA
3,371.08
tan(beta)
7.57
The truth!
9
M_1
217.75
M_2
-200.63
M_3
2,865.15
mL1
748.76
mL3
473.87
mE1
870.07
mE3
2,385.09
mQ1
1,055.76
mQ3
3,300.54
mU1
1,901.92
mU3
969.22
mD1
1,691.92
mD3
3,427.19
At
-3,169.69
Ab
1,030.72
Atau
-1,132.13
mu
1,070.69
mA
3,578.02
tan(beta)
10.27
The truth!
10
M_1
-695.74
M_2
-3,233.31
M_3
927.49
mL1
2,993.86
mL3
3,407.60
mE1
3,379.93
mE3
3,096.54
mQ1
755.12
mQ3
3,005.51
mU1
2,133.80
mU3
3,554.56
mD1
594.69
mD3
2,713.24
At
-5,903.98
Ab
-2,719.35
Atau
-1,668.38
mu
3,139.37
mA
2,943.96
tan(beta)
5.82
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