Acoustic source inversion to estimate volume flux from volcanic explosions

We present an acoustic waveform inversion technique for infrasound data to estimate volume fluxes from volcanic eruptions. Previous inversion techniques have been limited by the use of a 1-D Green's function in a free space or half space, which depends only on the source-receiver distance and neglects volcanic topography. Our method exploits full 3-D Green's functions computed by a numerical method that takes into account realistic topographic scattering. We apply this method to vulcanian eruptions at Sakurajima Volcano, Japan. Our inversion results produce excellent waveform fits to field observations and demonstrate that full 3-D Green's functions are necessary for accurate volume flux inversion. Conventional inversions without consideration of topographic propagation effects may lead to large errors in the source parameter estimate. The presented inversion technique will substantially improve the accuracy of eruption source parameter estimation (cf. mass eruption rate) during volcanic eruptions and provide critical constraints for volcanic eruption dynamics and ash dispersal forecasting for aviation safety. Application of this approach to chemical and nuclear explosions will also provide valuable source information (e.g., the amount of energy released) previously unavailable. Key Points First waveform inversion of volcano infrasound using a 3-D Green's function Strong topographic scattering must be considered for source inversion The method substantially improves the accuracy of eruption source parameter estimation

Volume Flow Rate Estimation for Small Explosions at Mt. Etna, Italy, From Acoustic Waveform Inversion

Rapid assessment of the volume and the rate at which gas and pyroclasts are injected into the atmosphere during volcanic explosions is key to effective eruption hazard mitigation. Here, we use data from a dense infrasound network deployed in 2017 on Mt. Etna, Italy, to estimate eruptive volume flow rates (VFRs) during small gas-and-ash explosions.We use a finite-difference time-domain approximation to compute the acoustic Green's functions and perform a full waveform inversion for a multipole source, combining monopole and horizontal dipole terms. The inversion produces realistic estimates of VFR, on the order of 4 × 104 m3/s and well-defined patterns of source directivity. This is the first application of acoustic waveform inversion at Mt. Etna. Our results demonstrate that acoustic waveform inversion is a mature and robust tool for assessment of source parameters and holds potential as a tool to provide rapid estimates of VFR in near real time.This study was supported by NERC Grant NE/P00105X/1 and by European Unions Horizon 2020 Research and Innovation Programme Under the Marie Sklodowska-Curie Grant Agreement 798480

One-loop corrections of order (Z alpha)^6m_1/m_2, (Z alpha)^7 to the muonium fine structure

The corrections of order (Z alpha)^6m_1/m_2 and (Z alpha)^7 from one-loop two-photon exchange diagrams to the energy spectra of the hydrogenic atoms are calculated with the help of the Taylor expansion of corresponding integrands. The method of averaging the quasipotential over the wave functions in the d-dimensional coordinate space is formulated. The numerical values of the obtained contributions to the fine structure of muonium, hydrogen and positronium are presented.Comment: Talk given at the XVIth International Workshop High-Energy Physics and Quantum Field Theory (QFTHEP2001), Moscow, Russia, 6-12 Sep 2001, 12 pages, REVTE

A Panel of Papers Examining COVID-19 Masking and Vaccination Advertisements

This panel of papers harnesses persuasion theories to examine the content of masking and vaccination advertisements and public service announcements concerning COVID-19. The first paper describes major persuasion approaches, the rationale for the studies, and the methodology. The second and third papers describe the results of the content analyses, along with their implications for media messages on COVID and future research on these topics

Low-Power Circuits for Brain–Machine Interfaces

This paper presents work on ultra-low-power circuits for brain–machine interfaces with applications for paralysis prosthetics, stroke, Parkinson’s disease, epilepsy, prosthetics for the blind, and experimental neuroscience systems. The circuits include a micropower neural amplifier with adaptive power biasing for use in multi-electrode arrays; an analog linear decoding and learning architecture for data compression; low-power radio-frequency (RF) impedance-modulation circuits for data telemetry that minimize power consumption of implanted systems in the body; a wireless link for efficient power transfer; mixed-signal system integration for efficiency, robustness, and programmability; and circuits for wireless stimulation of neurons with power-conserving sleep modes and awake modes. Experimental results from chips that have stimulated and recorded from neurons in the zebra finch brain and results from RF power-link, RF data-link, electrode- recording and electrode-stimulating systems are presented. Simulations of analog learning circuits that have successfully decoded prerecorded neural signals from a monkey brain are also presented

Quarter field resonance and integer-spin/half-spin interaction in the EPR of Thermus thermophilus ferrodoxin. Possible new fingerprints for three iron clusters

We describe two new characteristics of the EPR of the seven-iron containing ferrodoxin from Thermus thermophilus. First, the reduced state of the 3Fe center, which has traditionally been considered to be EPR-silent, has been found to exhibit [Delta]m = 4 transition, which is unique for Fe-S centers. This signal is similar to that of high-spin Fe2+-EDTA and supports the suggestion that the ground electronic state of the 3Fe cluster is S = 2. Second, we have recorded the EPR spectrum of the fully reduced protein at 9 and 15 GHz and found that changes occur in the signal which are consistent with a weak electronic spin-spin interaction between the [4Fe-4S]+ (S = 1/2) and the reduced 3Fe center. A theoretical explanation is given for the observation of interaction signals with constant effective g values.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/25700/1/0000254.pd