A 2HDM extended by two real scalar singlets is scanned with evolutionary strategies to locate regions satisfying vacuum, unitarity, oblique-parameter, collider and dark-matter constraints.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
representative citing papers
Gradient boosted decision trees suppress diphoton backgrounds while adaptive symbolic memetic regression corrects beam deflection biases, reaching luminosity uncertainties below 10^{-4} and 5x10^{-6}.
DESI DR1 constrains the modified gravity parameter to log10 |f_R0| < -4.59 at 95% CL, implying no detectable fifth force on scales below about 18 Mpc.
citing papers explorer
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Novel Machine Learning Methods to Improve Z Pole Integrated Luminosity at Future Colliders
Gradient boosted decision trees suppress diphoton backgrounds while adaptive symbolic memetic regression corrects beam deflection biases, reaching luminosity uncertainties below 10^{-4} and 5x10^{-6}.
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Testing Scale-Dependent Modified Gravity with DESI DR1
DESI DR1 constrains the modified gravity parameter to log10 |f_R0| < -4.59 at 95% CL, implying no detectable fifth force on scales below about 18 Mpc.