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QUVAC: quantum vacuum signal calculator Permalink

Quvac (from quantum vacuum, pronounced as qu-ack 🐸) allows to calculate quantum vacuum signals produced during light-by-light scattering. It uses linear Maxwell equations to describe the evolution of background electromagnetic fields and vacuum emission picture to calculate the transition amplitudes. It contains a lot of nice utilities supporting the research process (e.g. Bayesian optimization and simulations on a cluster).

Predict spatial laser jitter with neural networks Permalink

A number of helper classes for time-series laser jitter data pre-processing and model training/inference. Models could be trained on temporal or spectral (Short Time Fourier Transform) features. Open repository contains only the initial study with RNNs, current approach uses probabilistic time-series forecasting models (e.g. Autoformer).

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Quantum vacuum

Numerical study of light-by-light scattering scenarios
Strong-field QED predicts that in the presence of strong electromagnetic fields the quantum vacuum starts to behave like a medium and affects light propagation. Due to this nonlinear interaction, the incoming photon might change its direction, energy and polarization. For currently achievable laser intensities the effect is really small and presents a huge experimental challenge.

Thomson/Compton scattering

Development of Thomson/Compton photon sources
The scattering of intense laser pulses on high-energy electron beams is a well-established method for generating x and Îł radiation with applications in medicine, ultrafast radiography, and nuclear physics. Small intensities of an incident laser pulse lead to meager photon yields. Increasing laser intensity helps to boost photon yields, but also brings nonlinear effects into play, i.e., the spectrum is redshifted and high harmonics are generated. For temporally pulsed lasers, it also leads to a significant spectral ponderomotive broadening, which severely limits practical applications of such source.

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