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
-269.04
M_2
3,717.25
M_3
2,814.51
mL1
3,311.59
mL3
781.21
mE1
1,611.91
mE3
1,645.11
mQ1
2,780.68
mQ3
3,531.16
mU1
3,132.59
mU3
3,666.74
mD1
843.03
mD3
3,668.31
At
6,504.17
Ab
-1,355.73
Atau
-549.86
mu
-270.67
mA
2,385.41
tan(beta)
6.37
The truth!
2
M_1
-519.99
M_2
255.30
M_3
3,076.16
mL1
2,674.26
mL3
1,504.08
mE1
3,865.16
mE3
3,067.31
mQ1
3,704.99
mQ3
2,708.07
mU1
2,238.31
mU3
3,724.81
mD1
1,371.24
mD3
456.99
At
-1,134.81
Ab
1,977.40
Atau
-2,866.20
mu
-139.89
mA
2,329.92
tan(beta)
15.66
The truth!
3
M_1
-3,293.36
M_2
-734.08
M_3
2,328.34
mL1
2,530.12
mL3
1,598.51
mE1
2,075.78
mE3
3,748.76
mQ1
3,410.57
mQ3
3,280.55
mU1
3,910.83
mU3
3,013.32
mD1
1,709.56
mD3
790.11
At
-4,028.37
Ab
-357.75
Atau
-385.12
mu
2,701.69
mA
2,202.90
tan(beta)
24.28
The truth!
4
M_1
-2,684.24
M_2
-806.79
M_3
776.73
mL1
2,336.81
mL3
2,372.63
mE1
2,455.35
mE3
2,357.70
mQ1
3,878.57
mQ3
1,828.97
mU1
2,652.77
mU3
2,051.34
mD1
1,673.02
mD3
1,388.11
At
-3,501.99
Ab
-579.02
Atau
-3,430.48
mu
3,458.44
mA
2,722.68
tan(beta)
23.36
The truth!
5
M_1
-266.05
M_2
3,942.36
M_3
1,641.19
mL1
2,676.33
mL3
1,836.00
mE1
3,846.84
mE3
3,068.64
mQ1
828.79
mQ3
1,148.30
mU1
1,382.82
mU3
3,418.30
mD1
3,283.42
mD3
208.16
At
-2,937.67
Ab
1,868.35
Atau
1,193.35
mu
274.29
mA
1,692.92
tan(beta)
44.80
The truth!
6
M_1
1,699.23
M_2
1,275.47
M_3
1,511.59
mL1
3,195.53
mL3
2,741.01
mE1
3,884.39
mE3
1,965.72
mQ1
1,926.36
mQ3
3,902.73
mU1
3,068.13
mU3
1,490.77
mD1
587.50
mD3
587.14
At
3,641.19
Ab
1,171.26
Atau
-3,526.86
mu
-185.41
mA
2,276.14
tan(beta)
29.00
The truth!
7
M_1
867.51
M_2
829.56
M_3
2,192.66
mL1
3,940.34
mL3
1,886.21
mE1
1,090.05
mE3
1,428.69
mQ1
2,459.05
mQ3
3,460.72
mU1
2,873.29
mU3
2,000.86
mD1
2,157.46
mD3
1,848.20
At
3,561.78
Ab
-3,552.18
Atau
3,287.79
mu
-1,512.62
mA
3,983.53
tan(beta)
14.90
The truth!
8
M_1
-159.46
M_2
-3,449.53
M_3
662.61
mL1
549.14
mL3
2,683.64
mE1
2,604.12
mE3
2,547.79
mQ1
2,583.28
mQ3
3,191.11
mU1
986.39
mU3
3,653.14
mD1
521.02
mD3
823.55
At
-3,601.90
Ab
70.58
Atau
3,703.97
mu
163.62
mA
1,042.50
tan(beta)
59.46
The truth!
9
M_1
1,297.59
M_2
2,802.94
M_3
2,959.98
mL1
3,775.09
mL3
1,729.35
mE1
3,310.57
mE3
1,472.61
mQ1
2,661.60
mQ3
3,730.98
mU1
1,198.65
mU3
2,059.52
mD1
2,746.48
mD3
3,242.16
At
-3,606.73
Ab
-2,625.51
Atau
-244.95
mu
-838.08
mA
2,859.25
tan(beta)
12.35
The truth!
10
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!
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