tamil-phy/bec_gp

Bayesian Optimization of Bose-Einstein Condensate

Data Generation

from neuralbec import data

data.generate_varg(
    fn=lambda g : data.particle_density_BEC1D(
      dim=512, radius=24, angular_momentum=1,
      time_step=1e-4, potential_fn=data.harmonic_potential,
      coupling=g, iterations=10000
      ),
    num_samples=10, filename='10samples.data'
    )

Training

python3 main.py --train --model='ffn' --data='bec1d'

Prediction

python3 main.py --predict --model='ffn' --data='bec1d'