Zobrazeno 1 - 10
of 16 445
pro vyhledávání: '"Jack, D."'
Autor:
Häupl, Daniel R, Higgins, Clare R, Pizzey, Danielle, Briscoe, Jack D, Wrathmall, Steven A, Hughes, Ifan G, Löw, Robert, Joly, Nicolas Y
Laser spectroscopy of hot atomic vapours has been studied extensively. Theoretical models that predict the absolute value of the electric susceptibility are crucial for optimising the design of photonic devices that use hot vapours, and for extractin
Externí odkaz:
http://arxiv.org/abs/2410.19916
We investigate the sensitivity of relic neutrino detection methods within the Standard Model, extended to include right-chiral neutrino singlets with Majorana mass terms. In particular, we study neutrino capture on unstable nuclei, the Stodolsky effe
Externí odkaz:
http://arxiv.org/abs/2410.11941
Publikováno v:
JHEP 10 (2024), 176
We present semi-analytic solutions for atomic transition rates in hydrogenic atoms induced by scalar, pseudoscalar, vector, axial-vector, and tensor interactions. Our results agree with quantum electrodynamics predictions to $\sim 0.005\,\%$ precisio
Externí odkaz:
http://arxiv.org/abs/2407.12913
Autor:
Takahashi, Hiroto, Hsu, Chun-Chih, Jerzembeck, Fabian, Murphy, Jack, Ward, Jonathan, Enright, Jack D., Knapp, Jan, Puphal, Pascal, Isobe, Masahiko, Matsumoto, Yosuke, Takagi, Hidenori, Davis, J. C. Séamus, Blundell, Stephen J.
No state of matter can be defined categorically by what it is not; yet spin liquids are often conjectured to exist based on the nonexistence of magnetic order as $T \to 0$. An emerging concept designed to circumvent this ambiguity is to categorically
Externí odkaz:
http://arxiv.org/abs/2405.02075
Publikováno v:
J. Phys. B: At. Mol. Opt. Phys. 57 175401 (2024)
The Kramers-Kronig relations are a pivotal foundation of linear optics and atomic physics, embedding a physical connection between the real and imaginary components of any causal response function. A mathematically equivalent, but simpler, approach i
Externí odkaz:
http://arxiv.org/abs/2403.00950
Autor:
Saunders, Jack D., Freitas, Alex A.
Positive-Unlabelled (PU) learning is a growing field of machine learning that aims to learn classifiers from data consisting of labelled positive and unlabelled instances, which can be in reality positive or negative, but whose label is unknown. An e
Externí odkaz:
http://arxiv.org/abs/2401.06452
Autor:
Datta, Rishabh, Crilly, Aidan J., Chittenden, Jeremy P., Chowdhry, Simran, Chandler, Katherine, Chaturvedi, Nikita, Myers, Clayton E., Fox, William R., Hansen, Stephanie B., Jennings, Christopher A., Ji, Hantao, Kuranz, Carolyn C., Lebedev, Sergey V., Uzdensky, Dmitri A., Hare, Jack D.
Magnetic reconnection is an important process in astrophysical environments, as it re-configures magnetic field topology and converts magnetic energy into thermal and kinetic energy. In extreme astrophysical systems, such as black hole coronae and pu
Externí odkaz:
http://arxiv.org/abs/2401.01795