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]

Direct parameter input

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Slide the parameters to the requested values or click 'set value' to set a variable manually. Prediction can only be performed if all parameters have been set. More information about the parameters (what they are and where they can be found in .slha files) can be found here.
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arxiv:1709.10429
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2
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The two example points originate from arxiv:1709.10429 and are shown to be the best fit points when fitting against the Galactic Center gamma-ray excess, when taking into account limits from all direct detection experiments, limits on the annihilation cross section from dwarf spheroidal galaxies and Large Hadron Collider limits.

Example 1 predicts a dark matter candidate annihilating to a pair of top quarks and example 2 a dark matter candidate annihilating to WW pairs. Remarkably, the dark matter candidate annihilting to WW pairs also have a low finetuning as shown in arxiv:1612.06333.

M1
set value
M2
set value
M3
set value
mL1
set value
mL3
set value
mE1
set value
mE3
set value
mQ1
set value
mQ3
set value
mU1
set value
mU3
set value
mD1
set value
mD3
set value
At
set value
Ab
set value
Atau
set value
mu
set value
MA^2
set value
tan(beta)
set value
Enter all parameters
Select the spectrum file you want to upload
M_1
M_2
M_3
mL1
mL3
mE1
mE3
mQ1
mQ3
mU1
mU3
mD1
mD3
At
Ab
Atau
mu
MA^2
tan(beta)
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