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pro vyhledávání: '"Hofer, Lucas R."'
Autor:
Krstajić, Milan, Juhász, Péter, Kučera, Jiří, Hofer, Lucas R., Lamb, Gavin, Marchant, Anna L., Smith, Robert P.
Publikováno v:
Phys. Rev. A 108, 063301 (2023)
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 achievable atom numbers and hindered by high three-body loss rates. Here we
Externí odkaz:
http://arxiv.org/abs/2307.01245
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, JAXFit, works for both unconstrained and constrained curve fitting problems
Externí odkaz:
http://arxiv.org/abs/2208.12187
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 containing simulated laser beams and a dataset of images with experimental las
Externí odkaz:
http://arxiv.org/abs/2202.07801
Publikováno v:
Mach. Learn.: Sci. Technol. 2 045008 (2021)
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 bound multiple clouds within a single image. The neural network also outpu
Externí odkaz:
http://arxiv.org/abs/2011.10536
Akademický článek
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Funder: Royal Society; doi: http://dx.doi.org/10.13039/501100000288
Funder: Trinity College, University of Cambridge; doi: http://dx.doi.org/10.13039/501100000727
Funder: John Fell Fund, University of Oxford; doi: http://dx.doi.org/10.13039
Funder: Trinity College, University of Cambridge; doi: http://dx.doi.org/10.13039/501100000727
Funder: John Fell Fund, University of Oxford; doi: http://dx.doi.org/10.13039
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11d15e43a428a1be83558288c68c810f
https://www.repository.cam.ac.uk/handle/1810/325567
https://www.repository.cam.ac.uk/handle/1810/325567