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
546.95
M_2
3,596.30
M_3
2,552.92
mL1
1,757.25
mL3
2,613.12
mE1
3,044.24
mE3
2,585.38
mQ1
3,062.95
mQ3
2,324.92
mU1
814.61
mU3
2,819.35
mD1
287.07
mD3
2,916.04
At
3,434.50
Ab
941.87
Atau
-2,055.51
mu
-2,501.84
mA
2,593.28
tan(beta)
20.94
The truth!
2
M_1
-567.69
M_2
2,252.98
M_3
1,349.57
mL1
3,950.42
mL3
2,197.78
mE1
1,230.40
mE3
3,264.10
mQ1
1,480.92
mQ3
3,338.73
mU1
3,314.05
mU3
2,759.36
mD1
2,564.34
mD3
372.50
At
-4,443.33
Ab
-3,386.07
Atau
-2,468.56
mu
2,453.12
mA
2,510.47
tan(beta)
24.77
The truth!
3
M_1
534.27
M_2
3,474.63
M_3
449.40
mL1
594.44
mL3
930.90
mE1
3,643.97
mE3
3,333.98
mQ1
3,100.72
mQ3
1,524.46
mU1
2,097.53
mU3
1,781.83
mD1
3,770.57
mD3
2,496.61
At
-2,556.73
Ab
-1,481.11
Atau
3,509.04
mu
-1,550.48
mA
3,100.29
tan(beta)
26.37
The truth!
4
M_1
2,010.15
M_2
-211.13
M_3
2,687.36
mL1
1,011.45
mL3
2,333.37
mE1
2,097.00
mE3
787.55
mQ1
2,055.80
mQ3
1,318.22
mU1
1,144.84
mU3
2,216.75
mD1
475.64
mD3
1,962.34
At
-4,420.93
Ab
1,811.99
Atau
1,054.78
mu
1,507.29
mA
2,154.37
tan(beta)
8.92
The truth!
5
M_1
645.39
M_2
-3,520.54
M_3
2,997.82
mL1
1,765.08
mL3
1,939.26
mE1
717.73
mE3
1,894.44
mQ1
2,434.22
mQ3
1,805.40
mU1
3,556.24
mU3
2,030.84
mD1
1,932.02
mD3
3,330.44
At
3,475.98
Ab
13.15
Atau
-718.02
mu
-853.31
mA
1,281.19
tan(beta)
7.26
The truth!
6
M_1
3,194.18
M_2
-539.95
M_3
1,937.17
mL1
2,097.50
mL3
3,916.04
mE1
1,762.34
mE3
3,599.14
mQ1
704.02
mQ3
3,088.92
mU1
1,133.30
mU3
2,981.67
mD1
2,438.78
mD3
451.82
At
-6,031.23
Ab
-2,295.77
Atau
-2,776.97
mu
3,037.36
mA
2,333.40
tan(beta)
3.89
The truth!
7
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!
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
-2,580.45
M_2
-1,568.21
M_3
2,493.29
mL1
3,165.24
mL3
1,406.59
mE1
2,280.18
mE3
926.53
mQ1
3,459.81
mQ3
2,362.37
mU1
2,653.21
mU3
2,631.05
mD1
3,221.43
mD3
377.29
At
-3,040.27
Ab
-3,455.96
Atau
2,764.26
mu
-141.47
mA
3,125.71
tan(beta)
32.37
The truth!
10
M_1
-3,075.08
M_2
2,576.37
M_3
2,238.12
mL1
3,824.53
mL3
527.57
mE1
499.68
mE3
3,104.48
mQ1
790.40
mQ3
3,830.22
mU1
3,364.21
mU3
700.62
mD1
2,056.18
mD3
3,271.96
At
-3,611.52
Ab
1,002.31
Atau
-2,850.74
mu
-288.02
mA
1,542.37
tan(beta)
13.73
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