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Chromospheric reflection layer for high-frequency acoustic wave

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Title: Chromospheric reflection layer for high-frequency acoustic wave


1
Chromospheric reflection layer for high-frequency
acoustic wave
  • Takashi Sekii
  • Solar Physics Division, NAOJ

2
Outline
  • Introduction on high-frequency oscillations
  • What Jefferies et al (1997) did
  • Our attempt with MDI data
  • Ongoing effort with TON data
  • SP data revisited

3
High-frequency oscillations
  • Jefferies et al 1988 peaks in power spectra
    above the acoustic cut-off frequency
  • Cannot be eigenmodes in the normal sense of the
    word, because the sun does not provide a cavity
    in this frequency range

4
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5
What are they?
  • Balmforth Gough 1990 partial reflection at the
    transition layer
  • Kumar et al 1990 interference of the waves from
    a localized source (HIP)

6
  • Peak spacing and width better explained by
    Kumars model
  • For a quantitative account, partial reflection
    (not necessarily at the TL) is important too

7
South Pole Observation
  • Jefferies et al 1997
  • South Pole, K line intensity
  • Time-distance diagram for l125, ?6.75mHz with
    Gaussian filtering (?l33, ??0.75mHz)

8
  • Second- and third-skip features found ?
    partial reflection at the photosphere
  • Satellite features

From Jefferies et al (1997)
9
  • What makes the satellite features?

From Jefferies et al (1997)
10
Chromospheric reflection
  • Satellite features ? another reflecting layer in
    the chromosphere
  • From the travel time differences, Jefferies et al
    estimated that the layer is 1000km above the
    photosphere i.e. in the middle of the
    chromosphere
  • In fact, they are a bit more cautious about the
    actual wording and have not ruled out the TL
    solution

11
Wave reflection rates
  • Amplitude ratios between ridges give reflection
    rates
  • 1322 (photosphere)
  • 39 (chromosphere)
  • Consistent with Kumar(1993)
  • JCDs model used
  • Some version of mixing-length theory gives higher
    reflection rate due to steeper gradient

12
Atmospheric reflection
  • Why are the South Pole results important?
  • Photospheric reflection rate determined by
    thermal structure of the surface layer, which is
    (at least in part) determined by convective
    transport
  • If there is a reflection layer in the middle of
    the chromosphere, WHY?
  • Perhaps worth having another look with MDI data?

13
Analysis of MDI data
  • We had a look at MDI data
  • V, I (61d, 1564) LD (63d,1238)
  • m-averaged power spectra produced up to l200
  • calculate ACF of SHT
  • LD data seems the best suited
  • Geometrical effect observed

14
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15
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16
Geometrical factor
  • Observed signal strength depends on skip angle
  • Geometrical factor Sum of the products of
    projection factor for all the visible pairs of
    points
  • l18, ?3mHz ? skip angle 90º

17
Intensity
Velocity
18
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19
Were SP reflection rates correct?
  • Was the geometrical factor taken into account?
    Nobody remembers for sure
  • Inclusion of the geometrical factor would push up
    the reflection rates
  • Then they might become inconsistent with
    Kumar(1993)

20
MDI time-distance diagram
  • Power spectra converted to time-distance
    autocorrelation after Gaussian filtering in both
    l and ?
  • Parameters same as the SP analysis

21
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22
MDI reflection rate
  • Slices at fixed travel times made
  • Amplitudes compared and corrected by the
    geometrical factor
  • Apodization not taken into account
  • Satellite features unseparated from mains

23
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24
And the answer is
  • Reflection rate 10 in all the datasets after
    corrected for the geometrical factor
  • Lower than SP results (13-22)
  • But it was supposed to be HIGHER

V I LD
70/140 9.7 9.4 10.3
80/160 9.1 9.0 10.2
90/180 9.4 8.1 9.8
25
Implicatations?
  • Analysis simply too crude? (maybe)
  • Solar cycle effect? (unlikely)
  • SP data acquired during Dec 1994 to Jan 1995
  • MDI VI Apr to Jun 1997, LD May to Jul 1996
  • Unseparated satellite features push down the
    number (chromospheric reflection rate lower)
  • No separation due to observing different lines?
  • Can we try TON data for comparison?

26
TON data
  • Remapped images
  • remapped in solar coordinate
  • 10241024
  • image flattening done (projection, limb
    darkening)
  • 1 minute cadence
  • No merging of data strings from different
    stations

27
  • ls -1
  • tf970701
  • tf970702
  • bb970709
  • cd tf970701
  • ls -1
  • slcrem.1839380
  • slcrem.1839381

10241024 CCD image
28
Analysis procedure
  • one-day string by one-day string (about 10 hours)
  • pixel-by-pixel short time-scale detrending
  • renormalization by 15-point running mean
  • ?detrended images
  • cosine-bell apodizationSH transform
  • ?SHT (spherical harmonic time-series)

29
  • long time-scale detrendingFFT of SHT
  • ?power spectra
  • m-averagingrotational splitting correction
  • ?k-? diagram
  • Fourier-Legendre transform
  • ?time-distance autocorrelation
  • repeat the above for many other days and take the
    average

30
Apodization mask
  • A cosine-bell mask

31
Spherical-harmonic timeseries
  • Spherical harmonic transform
  • FFT in f-direction after zero-padding
  • otherwise only even-m appears
  • equivalent with the direct projection
  • (associated-)Legendre transform in ?-direction

32
Daily k-? power maps(1)
  • apodization N/A
  • long-term detrending N/A
  • rotation removal
  • N/A

33
Daily k-? power maps(2)
  • apodization cosine-bell
  • long-term detrending N/A
  • rotation removal
  • N/A

34
Daily k-? power maps(3)
  • apodization cosine-bell
  • long-term detrending Legendre
  • rotation removal
  • N/A

35
Daily k-? power maps(4)
  • apodization cosine-bell
  • long-term detrending Legendre
  • rotation removal
  • by bins

36
Daily k-? power maps(4)
  • Linear scale!

37
Problems?
  • Noise level high even in the 5-min band, and
    there is some structure
  • Broad peak in sub-1mHz region (also in SP data)

38
Whats wrong?
  • Sasha Serebryanskiy produced cleaner power
  • Should the short-term detrending be subtractive?
  • Apodization?
  • SHT?

39
Daily k-? power maps(4)
  • subtractive detrending

40
Daily k-? power maps(4)
  • different apodization

41
Spherical harmonic transform
  • Leakage for l10, m3
  • They make sense

42
  • AS says analysis without GRASP has led to a
    noisy power diagram
  • is GRASP doing something clever?
  • Welllet us do the averaging anyway

43
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44
SP data
  • The original SP data obtained
  • 18 days, 42-second cadence
  • l0-250
  • Time-distance ACF produced

45
SP t-d ACF at 6.75mHz
  • The double-ridge structure non-existent

46
SP t-d ACF at 6.125mHz
  • Voila!

47
Reflection rates?
  • 30/60-degree pair
  • requires double-gaussian fitting
  • composite rate 10

48
  • 40/80-degree pair
  • Composite reflection rate between the first the
    second ridge 12
  • But, from the second third
  • Main 40(!)
  • Satellite 75(!)

49
  • 45/90-degree pair
  • Composite reflection rate between the first the
    second ridge 14
  • But, from the second third
  • Main 26(!)
  • Satellite 50(!)

50
Then what about MDI?
  • I did look at different frequencies before
    without any success, but this time

51
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52
MDI reflection rates?
  • After geometrical correction
  • 10 for the main ridge
  • 50(!) for the satellite ridge

53
So, what is the situation now
  • Im still digesting all this myself!
  • Still no distinct double-ridge structure around
    originally reported 6.75mHz
  • We do find them around 6.125mHz (and very likely
    in other frequencies) both in SP and in MDI
  • Lower frequency implies higher rate of wave power
    leaked into chromosphere

54
  • Reflection-rate measurement still requires
    careful check
  • High reflection rate at large angular distances
    may be due to over-compensation
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