Band inversion in one-dimensional superlattices is a strategy to generate topological interface modes electronics, optics, acoustics, and nanophononics. Despite their potential for the control of topologically robust interactions, most realizations these states have so far explored only single kind excitation. In this work, we design fabricate GaAs/AlAs devices with simultaneously inverted band...

Background: Simultaneous EEG and VASO (Vascular Space Occupancy) imaging can be used to characterize CBV (cerebral blood volume) changes during interictal epileptic discharges (IED’s). However, the VASO sequence causes more RF pulse artifacts in the EEG than spin-echo or gradient-echo functional MRI (fMRI) sequences, because the global inversion pulses in the VASO sequence require higher RF pow...

Seismologists have long used extended sources, both physical and synthetic, to enhance the effectiveness of data acquisition and processing in various ways. Recently, extended synthetic sources have been suggested as a means to to substantially reduce the computational complexity of waveform inversion. Most proposed synthetic sources for waveform inversion are random in some way. In contrast, I...

The multiwavelength Raman lidar technique in combination with sophisticated inversion algorithms has been recognized as a new tool for deriving information about the microphysical properties of atmospheric aerosols. The input optical parameter sets, provided by respective aerosol Raman lidars, are at the theoretical lower limit at which these inversion algorithms work properly. For that reason ...

The central promise of simultaneous acquisition is a vastly improved crew efficiency during acquisition at the cost of additional post-processing to obtain conventional source-separated data volumes. Using recent theories from the field of compressive sensing, we present a way to systematically model the effects of simultaneous acquisition. Our formulation form a new framework in the study of a...

The gradient of standard full-waveform inversion (FWI) attempts to map the residuals in the data to perturbations in the model. Such perturbations may include smooth background updates from the transmission components and high wavenumber updates from the reflection components. However, if we fix the reflection components using imaging, the gradient of what is referred to as reflected-waveform i...

[1] We introduce a new approach to the joint inversion of multimodal geophysical data using Gramian spaces of model parameters and Gramian constraints, computed as determinants of the corresponding Gram matrices of the multimodal model parameters and/or their attributes. We demonstrate that this new approach is a generalized technique that can be applied to the simultaneous joint inversion of a...