APL-UW Home

Jobs
About
Campus Map
Contact
Privacy
Intranet

Darrell Jackson

Principal Engineer Emeritus

Research Professor Emeritus, Electrical Engineering

Email

drj12@uw.edu

Phone

206-543-1359

Biosketch

Darrell Jackson is engaged in theoretical and experimental research in ocean acoustics. This includes random scattering in the ocean, acoustic remote sensing of the ocean bottom, and related signal processing methods.

Department Affiliation

Acoustics

Education

B.S. Electrical Engineering, University of Washington, 1960

M.S. Electrical Engineering, University of Washington, 1963

Ph.D. Electrical Engineering, University of Washington, 1966

Ph.D. Physics, California Institute of Technology, 1977

Publications

2000-present and while at APL-UW

Kaluza–Klein bubble with massive scalar field

Jackson, D., "Kaluza–Klein bubble with massive scalar field," Gen. Relativ. Gravitation, 57, doi:10.1007/s10714-025-03350-z, 2025.

More Info

15 Jan 2025

A well-known soliton (bubble) solution of five-dimensional Kaluza–Klein General Relativity is modified by imposing mass on the scalar field. By forcing the scalar field to be short-range, the failure of the original bubble solution to satisfy the equivalence principle is remedied, and the bubble acquires gravitational mass.

A physics-based inversion of multibeam sonar data for seafloor characterization

Xu, G., B.T. Hefner, D.R. Jackson, A.N. Ivakin, and G. Wendelboe, "A physics-based inversion of multibeam sonar data for seafloor characterization," IEEE J. Ocean. Eng., EOR, doi:10.1109/JOE.2024.3467308, 2024.

More Info

9 Dec 2024

A physics-based algorithm has been developed for the inversion of multibeam sonar survey data for sediment properties. The algorithm relies on high-frequency acoustical models of seafloor scattering to estimate sediment properties, taking as input the calibrated backscatter intensity time series data for multiple incidence angles. The inversion proceeds in three stages to produce estimates for a suite of geoacoustic and physical parameters of the seafloor, which include sediment attenuation and strengths of interface and volume scattering in the first stage, surface roughness and reflectivity in the second stage, and porosity, density, and sound-speed ratios and mean grain size in the third and final stage. The algorithm uses a Monte-Carlo approach to determine the uncertainties in inversion-derived sediment properties based on the measured statistics of seafloor backscatter. This assessment also takes into account the uncertainties associated with the empirical relations utilized in the final stage of inversion to determine sediment properties from reflectivity. The performance and accuracy of the algorithm have been evaluated through implementation in the processing of field data recorded from Sequim Bay, WA, USA, in 2019. Comparison of inversion output with ground-truth measurements demonstrates the effectiveness and robustness of the algorithm in seafloor characterization with multibeam sonars.

Sonar observations of heat flux of diffuse hydrothermal flows

Jackson, D., K. Bemis, G. Xu, and A. Ivakin, "Sonar observations of heat flux of diffuse hydrothermal flows," Earth Space Sci., 9, doi:10.1029/2021EA001974, 2022.

More Info

1 Oct 2022

Previous work using multibeam sonar to map diffuse hydrothermal flows is extended to estimate the heat output of diffuse flows. In the first step toward inversion, temperature statistics are obtained from sonar data and compared to thermistor data in order to set the value of an empirical constant. Finally, a simple model is used to obtain heat-flux density from sonar-derived temperature statistics. The method is applied to data from the Cabled Observatory Vent Imaging Sonar (COVIS) deployed on the Ocean Observatories Initiative's Regional Cabled Array at the ASHES vent field on Axial Seamount. Inversion results are presented as maps of heat-flux density in MW/m2 and as time series of heat-flux density averaged over COVIS' field of view.

More Publications

Acoustics Air-Sea Interaction & Remote Sensing Center for Environmental & Information Systems Center for Industrial & Medical Ultrasound Electronic & Photonic Systems Ocean Engineering Ocean Physics Polar Science Center
Close

 

Close