3D Array Processing Sept 8, 2016, DUGL telecon

Slides:



Advertisements
Similar presentations
Air Force Technical Applications Center 1 Subspace Based Three- Component Array Processing Gregory Wagner Nuclear Treaty Monitoring Geophysics Division.
Advertisements

Lecture 23 Exemplary Inverse Problems including Earthquake Location.
THE AUSTRALIAN NATIONAL UNIVERSITY Infrasound Technology Workshop, November 2007, Tokyo, Japan OPTIMUM ARRAY DESIGN FOR THE DETECTION OF DISTANT.
Rethinking Array Seismology in Nuclear-Test-Ban Treaty Monitoring Steven J. Gibbons Workshop on Arrays in Global Seismology, Raleigh, North Carolina, May.
Lecture 3 Review of Linear Algebra Simple least-squares.
MSU CSE 240 Fall 2003 Stockman CV: 3D to 2D mathematics Perspective transformation; camera calibration; stereo computation; and more.
GPS Attitude Determination by Jinsuck Kim AERO 681 Department of Aerospace Engineering Texas A&M University March 9th, 1999.
c = km/sec I F = I 0 x (cosθ) 2.
Single station location Multiple station location
Matrix Approach to Simple Linear Regression KNNL – Chapter 5.
Earthquake Location The basic principles Relocation methods
Optical Alignment System (OASys) Masters Thesis of Yuki Ikeda Rikkyo University Presented by Itaru Nakagawa RIKEN/RBRC 1.
Chapter 9 Electromagnetic Waves. 9.2 ELECTROMAGNETIC WAVES.
1 SVY207: Lecture 18 Network Solutions Given many GPS solutions for vectors between pairs of observed stations Compute a unique network solution (for many.
Teleseismic Location find direction of signals based on Array algorithms backtrace ray paths through the earth simplifications: flat earth, plane waves.
Collaborators  Rod Whitaker, George Randall [Los Alamos National Laboratory]  Relu Burlacu [University of Utah]  Chris Hayward, Brian Stump [Southern.
EISCAT Radar Summer School 15th-26th August 2005 Kiruna
Waves Topic 4.5 Wave Properties. Wave Behaviour v Reflection in one dimension.
Vibrating Beam Inverse Problem Team K.E.Y Scott Clark ● Asya Monds ● Hanh Pham SAMSI Undergraduate Workshop 2007.
An array analysis of seismic surface waves
Speckle Correlation Analysis1 Adaptive Imaging Preliminary: Speckle Correlation Analysis.
Railway Operations: Issues and Objectives Capacity management Infrastructure planning Timetable preparation Management of day-to-day movement of trains.
Enforcing Constraints for Human Body Tracking David Demirdjian Artificial Intelligence Laboratory, MIT.
1 Spectral filtering for CW searches S. D’Antonio *, S. Frasca %&, C. Palomba & * INFN Roma2 % Universita’ di Roma “La Sapienza” & INFN Roma Abstract:
Progress in identification of damping: Energy-based method with incomplete and noisy data Marco Prandina University of Liverpool.
How DO they actually locate earthquakes? Alternatives to S-P Triangulation Hubenthal, M. Taber, M.
Doppler Ultrasound Dr Mohamed El Safwany, MD.. Introduction The Doppler Effect refers to the change in frequency that results when either the detector/observer.
Learning Theory Reza Shadmehr LMS with Newton-Raphson, weighted least squares, choice of loss function.
Introduction to Matrices and Matrix Approach to Simple Linear Regression.
02/6/ jdr1 Interference in VLBI Observations Jon Romney NRAO, Socorro ===================================== 2002 June 12.
Seismic Imaging in GLOBE Claritas
Module 6Aberration and Doppler Shift of Light1 Module 6 Aberration and Doppler Shift of Light The term aberration used here means deviation. If a light.
Moment Tensor Inversion in Strongly Heterogeneous Media at Pyhasalmi Ore Mine, Finland Václav Vavryčuk (Academy of Sciences of the CR) Daniela Kühn (NORSAR)
Surface-wave Derived Focal Mechanisms in Mid-America R. B. Herrmann 1, C. J. Ammon 2 and H. M. Benz 3 1 Saint Louis University, 2 Pennsylvania State University,
Doppler Physics Waves from a static source Wave peaks evenly spaced around the source at 1 wavelength intervals.
1 Wavefield Calibration Using Regional Network Data R. B. Herrmann Saint Louis University.
Seismology Part X: Interpretation of Seismograms.
Exercise.04 Receiver functions will be determined Receiver functions will be inverted Receiver functions and surface-wave dispersion will be inverted jointly.
Wednesday, Sept. 24, 2003PHYS , Fall 2003 Dr. Jaehoon Yu 1 PHYS 1443 – Section 003 Lecture #9 Forces of Friction Uniform and Non-uniform Circular.
Milton Garces, Claus Hetzer, and Mark Willis University of Hawaii, Manoa Source modeling of microbarom signals generated by nonlinear ocean surface wave.
Seismic phases and earthquake location
Teleseismic Location find direction of signals based on Array algorithms backtrace ray paths through the earth simplifications: flat earth, plane waves.
P.Astone, S.D’Antonio, S.Frasca, C.Palomba
GDF Suez Holland E 16-4 VSP Part 1:
Search for solar normal modes in ambient seismic noise
Electron Cloud Meeting
Analysis of FADC single-crystal data
Outline Brief overview of tectonic setting
OPSE 301: Lab13 Data Analysis – Fitting Data to Arbitrary Functions
TUTORIAL 3 BEAMFORMING 9/15/2018 LECTURES 1.
By Team Funky Beams (+ Chuck)
Force on an Electric Charge Moving in a Magnetic Field
Matrices Definition: A matrix is a rectangular array of numbers or symbolic elements In many applications, the rows of a matrix will represent individuals.
AP Physics Section 11-7 to 11-9 Wave Properties
Introduction to Shear Wave Splitting
Linear Regression.
Bin Sort, Radix Sort, Sparse Arrays, and Stack-based Depth-First Search CSE 373, Copyright S. Tanimoto, 2002 Bin Sort, Radix.
Kinematics Acceleration
SVD: Physical Interpretation and Applications
Telecommunications Engineering Topic 2: Modulation and FDMA
Lect. 06 phase & group velocities
Does AVO Inversion Really Reveal Rock Properties?
Bin Sort, Radix Sort, Sparse Arrays, and Stack-based Depth-First Search CSE 373, Copyright S. Tanimoto, 2001 Bin Sort, Radix.
Learning Theory Reza Shadmehr
Phased Array Radars Naval Weapons Systems.
Ken Creager, Wendy McClausland and Steve Malone
State-Space Searches.
Mathematical Foundations of BME
State-Space Searches.
State-Space Searches.
Presentation transcript:

3D Array Processing Sept 8, 2016, DUGL telecon Gary Pavlis

Motivation Getting back to catalog preparation wanted to process the array like an array Locate events using array phase velocity as an observable instead of 24 to 48 picks of P and S phases In an anisotropic medium the measured phase velocity will NOT always be the direction of the great circle path to the source – can we observe this? For our planned work on particle motions it is essential to measure phase velocity in 3D for comparision.

Issues: Free surface effect alters the pulse shape at different depths Frequency dependent coherence variations with station spacing mostly an issue for surface sites where the aperture is quite large for the band mining explosion light up (Known since the 1960s)

Example: surface array

2000 subarray I did not expect to see that variation underground

4000s subarray Better here, but still large variations in signal details

Array Processing Approach Dbxcor – aligns signals by cross-correlation Determine slowness vector from measured lags Full array Does not stack very well due to signal variation with depth Correlations were unstable due to secondary peaks from free surface interaction Sorry I don’t have graphics to show this

Alternative approach Run dbxcor in subarray mode Examples earlier were gathers from that approach Correlate and stack (beamform) from each subarray independently Pick arrival time on each subarray beam independently Estimating phase velocity Simple linear inverse problem: t=t_0 + u*x Lightening fast least squares solution by QR algorithm Problem: awful residuals and absurd answers fitting full array Reason: static shifts between subarrays created by independent picks

Static shift solution: grid search subarray shifts and minimize residuals TEXT output for mining explosion in Wyoming located southwest of array: evid=1 orid=1 Best fit solution found at row=15 and column=57 Minimum rms=0.600137 Best fit arrival time shifted to origin= 5/28/2015 19:04:26.207 Best fit slowness vector=(0.146715 0.0645722 0.292438 ) Azimuth=66.2447 Inclination angle=28.7288 Surface phase velocity=6.23845 Total slowness=0.333489 which is a velocity of 2.9986

Residual surface Minimum residual point