Sprecher
Beschreibung
We introduce a method that significantly enhances the resolution of spatiospectral sensors through a modified version of Imaging Fourier Transform Spectroscopy (FTS), utilizing a minimal number of laser shots.
The relevance of spatiospectral characterization for ultrahigh intensity laser beams lies in its ability to measure the spatially-varying temporal properties of a laser pulse, which are crucial for assessing the impact of chromatism on the beam’s focus and intensity, and for controlling laser-matter interaction processes.
Many existing techniques require and undesirable number of measurements. Approaches to use fewer or even a single shot are either complex to experimentally implement or make use of a constraining amount of prior information on the spectral properties of the pulse. Our approach leverages only a minimal amount of prior knowledge to optimize the number of measurements in a simple experimental implementation.
We use tunable liquid crystal retarders to encode spectral information into the field autocorrelation, akin to traditional FTS. However, our method diverges by utilizing Bayesian Experiment Design to determine the optimal sampling delays, contrasting the fixed intervals of conventional FTS.
This measurement modality is especially effective in combination with existing spatiospectral sensors. The additional prior information obtained from these sensors allows for an effective and efficient retrieval of spectral information within any of their channels, resulting in a resolution enhancement of the device. In this way the usability and application range of existing devices can be greatly expanded, spanning not only laser diagnostics but also hyperspectral imaging.
