[daip] (no subject)

[Leonia Kogan]

Hi Lincoln,

I have looked at the codes and do not see emmidiately the difference 
at the fitting routine for different degree of the polinom.

So I have the questions:

1. You exclude the source spectrum feature from the fitting using BPARM(CPARM)
   Do you?

2. How many points at the spectrum do you have after the exclusion?

3. Send me the list of input parameters you use in ACFIT.

If we'll not find solution after this message i'll ask to send me a piece 
of your data.


Leonia
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>From daip-admin at donar.cv.nrao.edu Thu Sep 27 11:56 MDT 2001
From: Lincoln Greenhill <lincoln at rgalp8.harvard.edu>
To: aipgripe at zia.aoc.NRAO.EDU, aipsmail at cv3.cv.nrao.edu, daip at cv3.cv.nrao.edu,
        egreisen at cv3.cv.nrao.edu, pmurphy at cv3.cv.nrao.edu
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Subject: aips_gripe
{27-SEP-2001 13:50:27}
{rgalp8       UN-REGISTERED!!!!!!!}
{   24  31DEC01  DEC}
{lincoln greenhill}
{cfa}
{617 495 7194}
{I have 512 channel VLBA autocorrelation spectra.  ACFIT baseline
 solutions diverge from the data for polynomial orders >= 4.  The baselined
 spectra written out by ACFIT and displayed by POSSM exhibit sawtooth
 patterns and steeply increasing or decreasing baselines in the upper half
 of each spectrum, for all stations.
  
 High order polynomials are important options to have because the station
 Y1 at Q band (16 MHz BW) has a pseudo-sinusoidal bandpass response.
  }
{ACFIT polynomial baselines >=4 seem not to work. They are needed for Y1 @ Q band}
{greenhill at cfa.harvard.eduy}
{ }
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