61 citations · 131 across the 6 of their papers we have counts for
6 papers
Characterisation of three-body loss in Er and optimised production of large Bose-Einstein condensates
Milan Krstajić, Péter Juhász, Jiří Kučera +4
Ultracold gases of highly magnetic lanthanide atoms have enabled the realisation of dipolar quantum droplets and supersolids. However, future studies could be limited by the achiev…
JAXFit: Trust Region Method for Nonlinear Least-Squares Curve Fitting on the GPU
Lucas R. Hofer, Milan Krstajić, Robert P. Smith
We implement a trust region method on the GPU for nonlinear least squares curve fitting problems using a new deep learning Python library called JAX. Our open source package, JAXFi…
Measuring Laser Beams with a Neural Network
Lucas R. Hofer, Milan Krstajić, Robert P. Smith
A deep neural network (NN) is used to simultaneously detect laser beams in images and measure their center coordinates, radii and angular orientations. A dataset of images containi…
Atom Cloud Detection Using a Deep Neural Network
Lucas R. Hofer, Milan Krstajić, Péter Juhász +2
We use a deep neural network to detect and place region-of-interest boxes around ultracold atom clouds in absorption and fluorescence images---with the ability to identify and boun…
Buffer-gas cooling, high-resolution spectroscopy and optical cycling of barium monofluoride molecules
Ralf Albrecht, Michael Scharwaechter, Tobias Sixt +2
We demonstrate buffer-gas cooling, high-resolution spectroscopy and cycling fluorescence of cold barium monofluoride (BaF) molecules. Our source produces an intense and internally…
Hermite-Gaussian Mode Detection via Convolution Neural Networks
L. R. Hofer, L. W. Jones, J. L. Goedert +1
Hermite-Gaussian (HG) laser modes are a complete set of solutions to the free-space paraxial wave equation in Cartesian coordinates and represent a close approximation to physicall…