Application of Advanced Spectral Techniques to EMFISIS Burst Mode Waveform Data Chris Crabtree Erik Tejero CL Enloe Guru Ganguli Naval Research Laboratory.

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Presentation transcript:

Application of Advanced Spectral Techniques to EMFISIS Burst Mode Waveform Data Chris Crabtree Erik Tejero CL Enloe Guru Ganguli Naval Research Laboratory George Hospodarsky Craig Kletzing University of Iowa

Outline Sub-packet Structure of Whistler Mode Chorus –Understanding sub-packet structure could lead to understanding the saturation mechanism. –Data reveals multiple waves are present. –Data is complex, further laboratory experiments, and theory are necessary to clarify VLF Whistler Waves driven by Plasma Boundary Layers –Malaspina et al found “Electric Field Structures” at plasma boundaries consistent with waves generated by velocity shear [Ganguli 1988, 2014] (EMEIH). –Current laboratory experiments confirm generation of whistlers by electric field inhomogeneity and similar nonlinear frequency-time structures. 2

Van Allen Probe A in morning sector at L~5.5 in Equatorial Plane on Oct 14, 2012 Whistler Mode Chorus 3

Particle Data 4

Time after :00: square window-70% overlap One Chorus Element Recorded in Burst Mode 5

Advanced Spectral Techniques Thomas Bayes ( ) Assume a model for the time series, i.e. Assume least informative model for noise, i.e. Gaussian Assume least informative prior and integrate over Nuisance parameters. Bayesian Analysis Techniques ushered in the era of precision cosmology and astrophysics: Benitez ApJ 2000; Hobson et al. MNRAS 2003; Scargle et al. ApJ

Extension of Fourier Methods If you assume a single stationary frequency, and integrate over amplitudes If you don’t know : Most of plasma theory can be captured by: You can still integrate over amplitude and phase analytically! …in special numerically generated coordinates [Bretthorst 1988, Jaynes 1996] 7

One Time Interval at beginning of Element Hz Time window = S, f~34 Hz 8

Find the Parameters that Maximize the Probability Function We can then calculate, expected amplitude and phases of waves. and from that get: Wave Normal angle: 155 degrees Azimuthal Angle: 77 degrees Wave Energy Density: 1.5E-14 Etc. 9

Take the one wave model and calculate the residual signal Original Data Data with first wave subtracted There is still Wave Power! 10

Add another Wave to the Model First wave parameters remain the same. Second wave has, Wave Normal angle: 144 degrees Azimuthal Angle: 82 degrees Wave Energy Density: 1.4E-14 Bimodal Distribution indicative of third wave 11

How many waves are present? After about 8 waves have been included in the model the Signal to Noise and the estimate of the error in the detector have leveled off. 12

Apply this with a sliding window 13

14

15

16

Triggered Emissions Experimental Setup BzBz 20 G mirror point helical antenna hollow cathode 420 G SPSC Source Chamber SPSC Main Chamber Plasma Source 17

Triggered Emissions Triggered emissions observed in laboratory experiments. Launched Whistler Triggered Emission 18

Whistler Chorus-like Emissions Chorus-like emissions observed in laboratory experiments. Whistler Chorus-like Emission Beam Generated Mode 19

Boundary Layers due to Plasma Compression Whistler branch waves ( e  > i  due to plasma compression Plasmasheet Lobe NASA/ISEE-1 data Boundary Layer Driven Whistlers V p ~ V bias V p ~ 0 V filament supply grid bias discharge supply discharge supply Laboratory simulation of the stressed boundary layer with localized radial electric field and axial magnetic field E(r) B Solar wind compression on plasma sheet generates boundary layer with transverse dc E fields [Romero et al. GRL, 1990] - The scale size of the E field can be smaller than a local ion gyroradius Spatial gradient in dc electric field triggers the electron-ion-hybrid (EIH) instability [Ganguli et al., Phys of Fluids, 1988; PoP, 2014] -ES and EM emissions in the whistler branch -Can be around lower hybrid frequency or different depending on parameters -Eigenvalue condition for ES waves (  =  pe /   : Boundary layers are being generated and analyzed in the SPSC -Existence of ES and EM EIH emissions verified -Signatures of triggered emissions observed -Magnetron effect can nonlinearly lead to secondary emissions displaying frequency chirping [Palmadesso et al., Geophys Mgr, 1986] 20

Transition to Electromagnetic Waves driven by Velocity Shear 21

Van Allen Probe Evidence for Whistlers near Boundary Layers Malaspina et al – Electric field structures and waves at plasma boundaries in the inner magnetosphere Identified plasma boundaries with particle data. Found waves near boundary 22

Seconds after :40: RBSP-B EMFISIS Burst Mode Waveform data of Driven Whistlers: Showing Burstiness and Chirping 23

Laboratory data of Driven Whistlers: Showing Burstiness and Chirping 24

Conclusions Advanced spectral techniques reveal –Chorus is composed of multiple waves which is not considered in current NL theories –New Nonlinear wave physics necessary to explain chorus saturation –Laboratory techniques combined with theory and satellite observations necessary to unravel new physics Generation of Electromagnetic Whistlers by boundary layers generated in laboratory –Consistent with observations in space near boundary layers –Burstiness and chirping found in these waves too 25