themis swt august 6th-8th, 2007 meeting themis swt august 6th-8th meeting scm operations and first...
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THEMIS SWT August 6th-8th, 2007 meeting
THEMIS SWTAugust 6th-8th meeting
SCM operations and first results
SCM team (CETP-Vélizy, France) : Co-i’s: A. Roux, O. Le ContelTechnical Manager(*): C. CoillotLead Engineer: A. Bouabdellah
Technicians: D. Alison & S. RuoccoSoftware Engineer: P. Robert
THEMIS team support for software and commissioning: K. Bromund (GSFC/NASA)C. C. Chaston (SSL, UCB)
C. Cully (CU)(*) SCM team thanks Bertrand de la Porte, the first
technical manager, for his continuing support.
THEMIS SWT August 6th-8th, 2007 meeting
• The SCM 3-axis antennas are located at the end of a 1 meter SCM boom
• Magnetic components: 3 analogs signals from 0.1 Hz to 4kHz.
• Sensitivity: 0.8pT/Hz@10Hz; 0.02pT/ Hz@1kHz
• Weight: 570 g
• Pre-amplifier (in 3D technology), located inside s/c body.
• Weight: 200 g• Power: 75 mW
PA + sensors:• First vibrations, thermal cycling tests at CETP and then at UCB/JPL on the s/c.• Fully calibrated at CETP quiet facility near Chambon la Forêt.
SCM overview (I)
THEMIS SWT August 6th-8th, 2007 meeting
Calibration mode• A Triangular signal generated by the PA, is applied to the feedback
winding installed around each antenna. • Once per orbit a calibration is run for 30 seconds (default). • After 60 seconds, the calibration is automatically turned off.
Operation modes IDPU Data type # Comp. # Frequencies APID Sample rate S/s (nominal)
Slow survey (SS)
Relative allocation: 50% (12h P3,P4,P5)
DFB filter banks 1 to 2 (1) 1 to 6 (6) 440 0.0625 to 8 (0.25)
Fast survey (FS) DFB filter banks 1 to 2 (1) 1 to 6 (6) 440 0.0625 to 8 (4)
RA: 50 % (10,8h) DFB waveform 3 444 2 to 256 (8)
Particle burst (PB) DFB waveform 3 448 2 to 256 (128)
RA: 10% of FS (1,2h) DFB spectra
(Bpara & Bperp)
1 to 4 (2) 16 to 64 (32) 44D 0.25 to 8 (1)
Wave burst (WB)
RA: 1% of PB (43 s)
DFB waveform 3 44C 512 to 16384 (8192)
DFB spectra 1 to 4 (2) 16 to 64 (64) 44F 0.25 to 8 (8)
SCM overview (II)
THEMIS SWT August 6th-8th, 2007 meeting
SCM calibration process (I)
New continuous calibration method delivered by K. Bromundcalled “thm_cal_scm.pro” with support from P. Robert
Different possible ouputs (step parameter):
# 0: counts, NaN inserted into each gap for proper ‘tplotting’# 1: Volts, spinning sensor system, with DC field# 2: Volts, spinning sensor system, without DC field # 3: nTesla, spinning sensor system, without DC field# 4: nTesla, spinning SSL system, without DC field# 5: nTesla, fixed DSL system, without DC field, filtered <fmin# 6: nTesla, fixed DSL system, with xy DC field
THEMIS SWT August 6th-8th, 2007 meeting
SCM calibration process (II)
Description of calibration method steps 0-2
# 0 - TM data in counts, separated into gap-free batches of data at same sample rate.For each gap-free batch, apply the steps 1-6 :# 1 - TM data in volts. ( tplot variable with '_volt' suffix) # 2a - remove spin tone using (interpolated) spin frequency from beginning of batch. o Spin period assumed constant for batch, but not assumed constant for full day. o Sliding spin fit to N_spinfit ( 2) complete spins, using sliding Hanning window. o Bdc and misalignment angle calculated from spin fit centered around each point o DC field for data within one spin period of the edges is calculated using spin fit to first/last two spin periods of the batch. o output Bdc and misalignment angle as tplot variables with '_dc' and '_misalign‘ suffix, respectively. o subtract Bdc (in spin plane) from x, y, and z signals. b - detrend (optionally substract boxcar average by fixing the detrend frequency parameter Fdet.) c - clean spin harmonics, power current signals, (to be detailed later)
THEMIS SWT August 6th-8th, 2007 meeting
# 3 - convolve with impulse response ( converts volts -> nT ) o get impulse response by taking inverse FFT of 1/gain(f) * [optional rectangular frequency filter] then divide by nk. nk can be an input parameter or derived from sample rate of batch and
input parameter mk. o Get kernel suitable for use as FIR filter by shifting by nk/2,
applying Hanning window. o Convolve kernel with data: Note: IDL convol function assumes that
the center of the kernel is at index nk/2, so no delay is introduced. Edge behavior determined by /edge_zero, /edge_wrap, or
/edge_truncate. With no /edge keyword, set all data within nk/2 samples of the edge to zero.
# 4 - rotate from spinning sensor system to SSL# 5 - transform calibrated waveform to DSL using interpolated spin
phase, which is calculated from the derived sun pulse data.# 6 - add Bx and By DC field from step 2a.use thm_cotrans to transform step 5 output to other coordinates (GSM, GSE)
SCM calibration process (III)
Description of calibration method steps 3-6
THEMIS SWT August 6th-8th, 2007 meeting
In flight scm data are perturbed by two types of noise:1) spike at 2 f0 (f0 being the spin frequency) and its harmonics due to power ripples2) 8/32 Hz tones which correspond to numerous instrument clocks
Fortunately these noise are both constant in amplitude and phase locked1) spike at 2f0 is phase locked relative to the spin phase2) 8/32 Hz are phase locked to 1s clock (C. Cully’s report)
C. Chaston has shown that a cleanup based on a superposed epoch analysis (SEA) is very efficient
Currently two versions are available and give good results:thm_cal_ccc.pro using a cleanup routine written by C. Chastonthm_cal_ole.pro using cleanup routine written by O. Le Contel
Both routines perform successively two SEA:1) First SEA with an averaging window equal to the spin period (fixed from state file data)2) Second SEA with an averaging window equal to a multiple of 1s (keyword wind_dur_1s = 3.)
SCM calibration process (IV)
Details about cleanup process
THEMIS SWT August 6th-8th, 2007 meeting
Both routines are included in thm_cal_scm (thm_cal_scm_ccc or thm_cal_scm_ole) at step 2c and can be actived by the same keywords:a)cleanup =‘spin’ for only cleanup of 2f0 tone b)cleanup =‘full’ for full cleanup with an additional keyword wind_dur_1s fixing the duration of the second averaging windowc)commented cleanup keyword corresponds to no cleanup
Example:
SCM calibration process (V)
Details about cleanup process
thm_cal_scm_ole, probe=satname, datatype=mode+'*', out_suffix = '_cal', $ trange=trange, $; nk = 512, $; mk = 4, $; Despin=1, $; N_spinfit = 2, $ cleanup = ‘full',$
wind_dur_1s = 1.,$; Fdet = 2., $; Fcut = 0.1, $ Fmin = 0.45, $; Fmax = 0., $ step = 4, $ /edge_zero
THEMIS SWT August 6th-8th, 2007 meeting
SCM calibration process (VI)
Example of cleanup processA
B
C
D
E
F
A: raw waveform in voltsB: despinned waveform andspectrum in dBV/sqrt(Hz)C: Spin phase locked noisebuilt by SEA an spectrumD: cleaned (only power ripples)waveform and spectrum E: 1s phase locked noise (SEA)F: Fully cleaned waveform and SpectrumNote that it remains some spikes which are not phase locked
B
C
D
E
F
8 Hz32 Hz2&4 f0
tha on April 8th 2007 between 0558-0600 UT
THEMIS SWT August 6th-8th, 2007 meeting
Physical quantities (L2 data):
In SSL, DSL, GSE, GSM and other coordinates
• FS waveforms (scf) of Bx, By, Bz
[8 S/s; Allocation~ 10.8h depending on which probe]
• PB waveforms (scp) [128 S/s; All.~ 1.2h]• WB waveforms (scw) [8192 S/s; All.~ 43s]
• Filterbank data (fbk) [1comp.; 6 freq.] throughout orbit• PB spectra (ffp) [2 comp.; 32 freq.]• WB spectra (ffw) [2 comp.; 64 freq.]
SCM science data (I)
THEMIS SWT August 6th-8th, 2007 meeting
L2 subset:• Magnetic field aligned frame (MFA)• Minimum variance frame (MVA)• Polarization analysis
Using FFT and assuming .B =0 and k we can get the k direction and the directions of the axis of the polarization ellipse
SCM science data (II)
K direction
zB0k
k
Major axis directionX close Sun direction
THEMIS SWT August 6th-8th, 2007 meeting
First results: substorm event
March 23rd 2007 1358-1402 UT
Particle burst mode period on thd
Electromagnetic waves with frequencies up to 10 Hz are detected at each dipolarization associated with a changeof sign of the electron velocity and an increase of particle densityWhat about e- distribution functionsand parallel/perpendicular to B e- fluxes?
Bx
By
Bz
B
IonsBurst dataNi
Vi
Ti
e- burst data
Ne
Ve
Te
Scp data
0.45-64 Hz
THEMIS SWT August 6th-8th, 2007 meeting
First results: FTE event
May 20th 2007 2158-2207 UT
Fast survey mode period
Electromagnetic waves with frequencies up to 4 Hz are detected within the FTE
Bx
By
Bz
B
Ions reduced data
Ni
Ti
e- reduced data
Vi
Scf data
0.45-4 Hz
THEMIS SWT August 6th-8th, 2007 meeting
First results: HFA event
July 4th 2007 1024-1032 UT
Fast survey mode period
No Electromagnetic waves within HFABut EM waves with frequencies up to 4 Hz are detected at the edges
Bx
By
Bz
B
Ions reduced data
Ni
Ti
e- reduced data
Vi
Scf data
0.45-4 Hz
THEMIS SWT August 6th-8th, 2007 meeting
First results: MP crossing event
June 19th 2007 094020-0944 UT
Particle burst mode period on thc
Frequency of em waves increases as thc leaves the magnetosphere and enters in the boundary layerMaximum of waves amplitude corresponds to variations of e- velocityWhat about EFI data ?
Bx
By
Bz
B
Ions burst data
Ni
Ti
e- burst data
Vi
Scp data
0.45-64 Hz
Ne
Ve
Te