Ciao Nico, Paolo,
come anticipato ho contatto Ernst Pollmann con il quale siamo rimasti in accordo di aprire un simile post anche in ARAS. Aprirò il post domani in modo che Ernst possa agganciarsi e di conseguenza raccogliere anche i pareri di altri esperti sull'argomento "calcolo velocità radiale" e considerazioni sui diversi metodi utilizzati.
Nell'email di Ernst viene chiarito come certi parametri vengano selezionati in funzione della dispersione del ns spettro e del potere risolutivo. Si capisce che la curva (function of CC) idealmente debba essere una gaussiana, questo particolare guida tutto. Incollo qui sotto la risposta che mi ha inviato e che mi sembra chiara. Comunque ditemi la vostra opinione/dubbi.
Un abbraccio !
Marco Leonardi
Dear Marco,
I am very pleased of your attempts, to calculate the RV by use of the PDM method.
I will try it too with your last pi Aqr spectrum. In case of that spectrum, I would prefer not to use selected sections of the profile, but to use the entire profile (see picture "spectrum").
You can recognize the corresponding parameter for that process as "advanced parameters of spectral region": high level = 2.3, low level = 0.
Corresponding your spectral parameters, like dispersion and spectral resolution power, you have to select certain values for "correlated spectral region" (I did choose 30 Angstr.) and for "velocity range of correlation" (I did choose 110 pixel). Laboratory wavelength = 6562.852 Angstr. With this pre-settings you can start the measurement "correlated line" (see picture "correlated line") and function of CC (see picture "function of CC"). Sometimes you have to "play" with this settings, depending on the line profile, in order to find out the best result of the CC.
The CC determines the size of the shift of the spectrum and/or the comparison (mirrored) spectrum (both leads to the same results, if one considers the direction of the shift), which is necessary, in order to obtain a maximum agreement of the correlated spectra (the measure of the agreement is defined by the coefficient of correlation).
An indicator for a "best result" is the CC curve itself. It has to be (as good as it possible) a symetrical distributed Gaussian function (curve).
Unfortunately there is no reference of a certain correlation coefficient in that program, so the only possibility you have is to judge only the CC curve.
I hope that this helps to understand the evaluation process and the CC a bit better.
Best wishes, Ernst
----------------------------------------------
International Working Group ASPA
Active Spectroscopy in Astronomy
http://www.astrospectroscopy.de
http://www.astronomie.de/astronomische- ... troskopie/