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
1,134.70
M_2
2,413.30
M_3
866.80
mL1
1,382.57
mL3
3,686.84
mE1
2,313.77
mE3
1,486.44
mQ1
2,887.81
mQ3
2,162.36
mU1
2,593.13
mU3
1,536.68
mD1
335.62
mD3
2,063.88
At
2,944.77
Ab
3,710.08
Atau
2,579.99
mu
-279.93
mA
1,400.00
tan(beta)
10.08
The truth!
2
M_1
-1,841.53
M_2
-93.87
M_3
1,153.46
mL1
2,778.25
mL3
3,680.85
mE1
3,266.92
mE3
3,329.97
mQ1
2,278.91
mQ3
3,065.64
mU1
584.35
mU3
2,144.63
mD1
2,945.83
mD3
1,463.92
At
-3,205.75
Ab
-1,053.56
Atau
-132.34
mu
3,210.21
mA
1,332.24
tan(beta)
24.72
The truth!
3
M_1
238.91
M_2
-2,202.78
M_3
3,772.90
mL1
193.92
mL3
3,578.07
mE1
2,394.62
mE3
2,162.28
mQ1
2,921.07
mQ3
1,311.50
mU1
1,958.82
mU3
2,422.21
mD1
1,123.25
mD3
1,762.69
At
4,497.71
Ab
1,841.70
Atau
3,897.52
mu
-3,536.12
mA
2,897.38
tan(beta)
15.15
The truth!
4
M_1
3,279.41
M_2
772.11
M_3
2,040.51
mL1
1,126.07
mL3
1,892.56
mE1
2,540.80
mE3
2,742.23
mQ1
1,664.43
mQ3
3,917.88
mU1
3,609.28
mU3
2,242.95
mD1
2,611.15
mD3
3,735.98
At
-3,711.05
Ab
3,810.06
Atau
477.17
mu
1,000.74
mA
3,228.40
tan(beta)
10.98
The truth!
5
M_1
566.90
M_2
-547.77
M_3
2,786.19
mL1
2,258.92
mL3
1,473.88
mE1
926.68
mE3
1,668.34
mQ1
3,856.31
mQ3
3,136.41
mU1
697.52
mU3
3,163.01
mD1
3,423.19
mD3
712.52
At
-3,902.12
Ab
-3,100.74
Atau
1,930.45
mu
2,938.07
mA
2,891.00
tan(beta)
57.44
The truth!
6
M_1
2,672.50
M_2
1,256.89
M_3
1,925.63
mL1
3,876.93
mL3
2,918.44
mE1
3,325.95
mE3
3,424.93
mQ1
3,536.53
mQ3
1,405.96
mU1
2,868.66
mU3
2,137.93
mD1
1,371.10
mD3
1,272.68
At
-3,465.99
Ab
554.03
Atau
436.22
mu
2,997.32
mA
2,661.18
tan(beta)
14.19
The truth!
7
M_1
3,526.52
M_2
718.16
M_3
3,426.70
mL1
3,146.19
mL3
511.34
mE1
2,829.46
mE3
2,988.67
mQ1
3,148.74
mQ3
2,397.27
mU1
1,492.89
mU3
2,117.46
mD1
3,691.05
mD3
3,394.95
At
-2,839.95
Ab
-3,624.34
Atau
514.91
mu
248.96
mA
2,003.81
tan(beta)
50.18
The truth!
8
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!
9
M_1
-1,574.99
M_2
-3,016.04
M_3
1,662.93
mL1
2,263.52
mL3
3,512.46
mE1
1,170.55
mE3
3,908.95
mQ1
2,965.24
mQ3
3,643.86
mU1
2,094.36
mU3
2,263.28
mD1
1,363.65
mD3
1,989.69
At
3,013.78
Ab
-3,210.12
Atau
2,176.91
mu
-129.52
mA
3,187.62
tan(beta)
14.68
The truth!
10
M_1
2,294.78
M_2
1,866.33
M_3
3,263.41
mL1
3,733.38
mL3
1,397.27
mE1
2,950.96
mE3
728.22
mQ1
2,354.16
mQ3
1,248.49
mU1
527.05
mU3
3,394.04
mD1
1,124.27
mD3
1,998.06
At
2,885.93
Ab
-1,604.00
Atau
-1,019.64
mu
-326.98
mA
1,297.75
tan(beta)
20.97
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