131 citations · 319 across the 9 of their papers we have counts for
9 papers
Prior-mean-assisted Bayesian optimization application on FRIB Front-End tunning
Kilean Hwang, Tomofumi Maruta, Alexander Plastun +5
Bayesian optimization~(BO) is often used for accelerator tuning due to its high sample efficiency. However, the computational scalability of training over large data-set can be pro…
The Fast Linear Accelerator Modeling Engine for FRIB Online Model Service
Z. He, J. Bengtsson, M. Davidsaver +3
Commissioning of a large accelerator facility like FRIB needs support from an online beam dynamics model. Considering the new physics challenges of FRIB such as modeling of non-axi…
MSSM dark matter and a light slepton sector: The Incredible Bulk
Keita Fukushima, Chris Kelso, Jason Kumar +2
Recent experimental results from the LHC have placed strong constraints on the masses of QCD-charged superpartners. The MSSM parameter space is also constrained by the measurement…
Dipole Moment Bounds on Scalar Dark Matter Annihilation
Keita Fukushima
We consider a scalar dark matter annihilations to light leptons mediated by charged exotic fermions. The interaction of this model also adds a correction to dipole moments of light…
Bounds on self-interacting fermion dark matter from observations of old neutron stars
Joseph Bramante, Keita Fukushima, Jason Kumar +1
The existence of old neutron stars deeply constrains self-interacting fermion dark matter, which can form star-killing black holes. We quantify this constraint on dark matter-nucle…
Dipole Moment Bounds on Dark Matter Annihilation
Keita Fukushima, Jason Kumar
We consider constraints on simplified models in which scalar dark matter annihilates to light charged leptons through the exchange of charged mediators. We find that loop diagrams…