Accelerating MA-XRF Data Acquisition by Exploiting Local Spatial and Spectral Relations within a Hyperspectral Datacube: An Approach through Wavelet Denoising

Macro X-ray fluorescence (MA-XRF) is a recently developed technology allowing to obtain elemental information from cultural heritage objects. This information can, for example, be used to identify pigments used in a painting. Yet, the extended period of time it takes to scan an object is a major issue within MA-XRf. For instance, it took about...

TiEMPO:Time-Dependent End-to-End Model for Post-process Optimization of the DESHIMA Spectrometer

Ultra-wideband submillimeter observations are crucial to study the process of star and galaxy formation and for characterizing cosmic dust in the interstellar medium. The Deep Spectroscopic High-redshift Mapper 2.0 (DESHIMA 2.0) will use an integrated superconducting spectrometer chip with a 220-440 GHz band coverage and a spectral resolution of...