Maximum Likelihood routines:
User's manual (Version 3.0)
: Play first with pair, simubis,
simu and montecarlo_lg. See later what they are
Please send your bug report and insults to one of the
TA, Last revised January 17, 2003
What's new in Version 3.0
It is timely to have a new release of the software. The last one
was about 6 years ago. New routines have been introduced and a few
(yes a few!) bugs found. This user's manual does not intend to be
complete, so it is very likely that there are oversight and features of
the software not described. In any case let me know of any problem
you have in running the software.
What's new in Version 2.0?
The previous release (1.2) allowed you to fit Fourier spectrum (the so-called
amplitude spectrum). The old release was really trimmed for the LOI use.
Now together with Laurent Gizon
we made it more portable so that the routines can be used for any instrument
making images in a much simpler manner. Now you only need to define the
leakage matrix of the mode and the covariance matrix of the noise directly
in the routines that you use. An example is given here below that you modify
to your own usage. It means that the routines are now slower but are easier
to implement for other usage. It might mean that you do not wish to fit
moderate to high degree this way!
What's new in Version 1.2?
New features have been added to the drivers.pro
For the LOI spectra ((m,nu) diagrams) you can now also fit the amplitude
: for doing that you need to know the value and
sign of the crosstalk of the mode and of the noise, in the amplitude spectra.
I have attached many examples that can help you to fit (m,nu) diagram provided
that YOU KNOW THE CROSSTALK. For both the single spectrum and the (m,nu)
diagrams, you can choose the combination of algorithm for the convergence,
with their associated tolerance.
What's new after the Davos meeting?
Now you have routines for fitting the LOI spectra, or any helioseismology
instruments making images.
In addition you can now fix parameters to given values with a
simple string such as: '1000000', where you have 7 parameters and the first
one is fixed. It works for any kind of spectra (Unresolved or resolved
How to start working with it?
First using the pointers get the following files:
Then start IDL.
You can now easily compile the procedure with compile.pro.
Just use the following command:
And that's it!
If you need more just drop me a note
1 Main routines
This package is the heart of the system. These routines are for fitting
any spectrum using Maximum Likelihood Estimators. The density probability
in the power spectrum is assumed to a chi square with 2 degrees of freedom;
in the Fourier spectra each component is assumed to be normally distributed.
The following routines are NOT to be modified without telling
the author. If you
found a bug just drop me a note and I will update the package. MLEfit.pro
is a package with various routines:
The following routines are the ones that you should input and/or modify
for your own cases. They are given for completeness as some of my demo
programs need it. routines.pro
MLEFIT with user's guide
MLEFITALIAS (specific to the LOI)
HESSIAN with user's guide
DERIVEE2XY with user's guide
contains is a package with various routines that are described in more
fitting single spectrum, you should write the routine describing the spectrum
; The syntax above must NOT be different from that
; param array describing any parameter of the spectrum
; (linewidth,amplitude, splitting, noise, etc...)
; x is the frequency
; The following 2 statements are used to know how many
; time the function is computed
Examples are given by SPECTRA, SPECTRA02, GSPECTRA
For fitting (m,nu) diagram, you should write the routine describing
the spectrum such as SPECTRALTENE (if you fit the power spectra), or CROSSTALKLG
(if you fit the amplitude spectra).
There are 4 routines:
FITPLOTSINGLE with user's guide (for single spectrum)
FITPLOT with user's guide (for m,nu diagramme)
FITPLOTNEW Not necessarily useful...
FITPLOTALIAS with user's guide (for m,nu diagramme, for 2 degrees!)
for computing rotation matrices. Needed for fitting spectra with Maximum
Likelihood Estimators. It returns for any degree and angle (in rad) a 2l
+1 matrix using Jacobi polynomials (See Edmonds, 'Angular Momentum
in Quantum Mechanics').
for computing mode crosstalk for velocity measurements. Needed for fitting
spectra with Maximum Likelihood Estimators. It is also needed by fitgong
It returns for any degree and integration diameter (in solar raiud unit)
+1 by 2l
+1 matrix. It uses a routine computing Legendre
Here are examples how to use drivers (FITPLOTSINGLE and FITPLOT).
For fitting multiplets (l
=1, 2, 3, etc...). The sensitivities are
given in PEAKIPHIR tune it to your own.
multi for fitting IPHIR data
simubis for fitting synthetic spectrum (input parameters explained in the
For pair l
=0, l=2. The sensitivities are given in PEAKIPHIR tune
it to your own. There are two routines.
pair for fitting IPHIR data
test for fitting synthetic 0-2 pair (input parameters explained in the
For fitting synthetic (m,nu) diagram in the Fourier spectra (which is not
the power spectra!). The crosstalk of the mode is that of the LOI although
you can input your own values. The covariance matrix of the noise is broken
into 3 independent matrices; this is what we use for the LOI. Some algebra
will be required if you want to adapt it to your own instrument. The covariance
matrix will depend on the masks used for combining the pixels, on the model
of the solar noise and on the type of observable (intensity or velocity).
This routines works for any degree but the covariance matrices are given
only for up l
If you want to now more just drop me a note.
For the SOHO/LOI spectra. You have to modify the parts that load the file.
It is flagged by * in the procedure. If you want to now more just drop
me a note
The crosstalk matrices are generated from our own pixel sensitivity,
you might have to input them before using it for your own case. We left
the LOI crosstalk matrices up to l for your own convenience. If
you are clever enough you may find out that fitamp.pro looks very similar
Yes! You can now fit the GONG (m,nu) diagrams in the Fourier spectra. If
you want to now more just drop me a note
warned though that the crosstalk of the noise is assumed to be the same
as for the modes.
This routine is very similar to fitamp.pro. As a matter of fact the
differences are rather tiny. I advise that you compute the mode crosstalk
and the noise covariance yourself. This is probably the only work (big
though!) that you have to do.
3 IDL operation
IDL> .run multi
% Compiled module: MULTI.
% Compiled module: SIMUBIS.
Frequency of starting points= 0.00000
Window size= 28.0000
Thu Jun 1 17:22:20 MET DST 1995
N evaluation= 1169.00
Number of iterations= 10 1
Thu Jun 1 17:22:39 MET DST 1995
N evaluation= 1213.00
For l= 2
Frequency = 0.0064327785 +/- 0.073834335
Amplitude= 1.5591076 + 0.46331763 - 0.35717614
Linewidth= 0.79765624 + 0.17840557 - 0.14579642
Splitting= 0.97748720 +/- 0.037384483
Noise= 0.10814242 +/- 0.083908733
give the amplitude of the l=2 mode= 1.
give the frequency of the l=2 mode= 0.
give the linewidth of the modes= 1.
give the splitting of the l=2 mode= 1.
give the background noise= 0.1
give the amplitude of the l=0 mode= 1.
give the frequency of the l=0 mode= 6.
Tue Jun 20 16:40:44 MET DST 1995
N evaluation= 0.00000
Number of iterations= 8 1
Tue Jun 20 16:41:31 MET DST 1995
N evaluation= 0.00000
Frequency = 0.12832522+/- 0.083315022
Amplitude= 1.0944812+ 0.27755425 - 0.22140675
Frequency = 5.8662282+/- 0.10459044
Amplitude= 1.1993053+ 0.40139761 - 0.30074180
Linewidth= 0.87070362+ 0.16165966 - 0.13634508
Splitting= 0.95102902+/- 0.048336407
Noise= 0.098365665+ 0.0091338377 - 0.0083577691