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
518.28
M_2
357.06
M_3
1,095.81
mL1
722.20
mL3
461.05
mE1
3,643.13
mE3
2,635.84
mQ1
3,414.86
mQ3
2,035.66
mU1
1,560.62
mU3
2,758.49
mD1
1,144.06
mD3
2,481.78
At
-3,651.15
Ab
-994.89
Atau
-849.44
mu
-2,444.72
mA
3,783.01
tan(beta)
16.74
The truth!
2
M_1
328.29
M_2
-1,588.31
M_3
1,251.06
mL1
1,696.92
mL3
3,019.10
mE1
3,290.58
mE3
1,201.04
mQ1
3,279.36
mQ3
3,044.24
mU1
3,941.29
mU3
3,739.46
mD1
629.68
mD3
1,224.45
At
-3,139.42
Ab
3,715.83
Atau
1,915.37
mu
318.72
mA
1,711.32
tan(beta)
16.89
The truth!
3
M_1
1,556.66
M_2
-1,519.92
M_3
3,459.34
mL1
2,817.50
mL3
3,938.08
mE1
966.52
mE3
474.60
mQ1
3,510.80
mQ3
1,797.24
mU1
2,026.41
mU3
2,387.20
mD1
290.49
mD3
2,801.80
At
-2,829.00
Ab
1,075.12
Atau
-3,164.65
mu
-229.49
mA
2,278.99
tan(beta)
19.02
The truth!
4
M_1
-297.13
M_2
2,953.16
M_3
1,546.90
mL1
3,858.66
mL3
1,717.43
mE1
3,895.42
mE3
1,626.24
mQ1
2,610.40
mQ3
1,981.62
mU1
468.89
mU3
3,421.59
mD1
701.96
mD3
1,906.88
At
2,737.61
Ab
-3,092.48
Atau
-1,184.48
mu
-317.41
mA
1,107.04
tan(beta)
33.21
The truth!
5
M_1
3,435.37
M_2
955.25
M_3
3,416.39
mL1
3,112.13
mL3
3,034.10
mE1
1,911.90
mE3
1,102.72
mQ1
2,260.99
mQ3
3,119.34
mU1
3,764.02
mU3
2,995.76
mD1
3,464.58
mD3
3,511.19
At
4,296.71
Ab
-423.42
Atau
-2,017.62
mu
-181.70
mA
1,877.29
tan(beta)
23.19
The truth!
6
M_1
-1,487.18
M_2
-141.29
M_3
2,502.17
mL1
1,605.82
mL3
1,931.16
mE1
3,313.30
mE3
2,080.86
mQ1
738.42
mQ3
2,061.04
mU1
3,407.72
mU3
2,910.27
mD1
2,099.25
mD3
1,516.68
At
3,496.70
Ab
-1,487.63
Atau
166.41
mu
-3,978.35
mA
1,509.93
tan(beta)
8.69
The truth!
7
M_1
-1,010.11
M_2
-746.64
M_3
3,502.44
mL1
609.89
mL3
1,982.65
mE1
1,739.04
mE3
1,630.96
mQ1
1,151.27
mQ3
1,951.72
mU1
3,255.37
mU3
3,557.22
mD1
527.22
mD3
1,768.93
At
-2,811.62
Ab
-3,730.45
Atau
3,398.05
mu
185.26
mA
3,337.63
tan(beta)
10.69
The truth!
8
M_1
-1,844.65
M_2
-3,166.79
M_3
3,160.65
mL1
1,835.87
mL3
3,604.81
mE1
3,758.94
mE3
3,194.07
mQ1
1,590.85
mQ3
3,024.47
mU1
1,252.27
mU3
2,536.73
mD1
3,737.22
mD3
1,159.80
At
4,258.08
Ab
-1,121.07
Atau
-534.10
mu
-140.45
mA
3,376.88
tan(beta)
39.45
The truth!
9
M_1
-2,657.08
M_2
1,049.66
M_3
2,286.53
mL1
1,871.83
mL3
3,237.90
mE1
1,312.68
mE3
1,248.95
mQ1
1,548.20
mQ3
3,702.33
mU1
3,878.17
mU3
3,991.50
mD1
2,898.72
mD3
1,907.67
At
-4,362.10
Ab
1,995.18
Atau
-1,010.75
mu
-1,254.72
mA
3,478.77
tan(beta)
11.05
The truth!
10
M_1
535.07
M_2
828.24
M_3
3,815.70
mL1
1,000.43
mL3
1,365.87
mE1
1,119.59
mE3
3,824.17
mQ1
514.36
mQ3
3,544.63
mU1
3,269.54
mU3
3,145.27
mD1
2,366.85
mD3
1,973.73
At
3,261.67
Ab
-1,715.82
Atau
2,284.55
mu
-716.20
mA
958.16
tan(beta)
9.87
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