Open dbenn opened 2 years ago
Grant Foster's light curve analysis book briefly talks about uncertainty of minima/maxima when using a model, such as binned means or polynomials, but unlike his treatment of period error for which standard error of the frequency and FWHM are suggested, there is not a similar concrete suggestion for polynomials fits.
This overview of methods by Tom Richards of Variable Stars South focusses on polynomial fitting and Kwee van Woerden and on balance seems to favour polynomials, especially low order polynomials:
https://www.variablestarssouth.org/wp-content/uploads/2020/01/nl_2020-1.pdf
It emphasises the importance of estimating "...which order of polynomial fits best without over-fitting, and what does that do for the vital polynomial curve-fit to minimum" (which VStar already provides, via RMS, AIC, BIC goodness of fit measures) and minima/maxima error estimates but doesn't examine that in any detail at least for polynomial fits. It also suggests the utility of a suite of methods, as found in Bob Nelson's Minima 25
.
What's needed is equations, algorithms or source code though.
This paper (via Brad Walter, who has pointed to a number of papers including Kwee van Woerden related papers) is useful re: polynomial extrema uncertainty:
See the equation in Section 2, page 2.
It makes sense that if the extrema determination method is derivative based, the uncertainty must be in terms of this.
Question: Could the term in the numerator simply be based upon the time resolution of the first derivative based extrema determination?
See also https://www.aavso.org/tmaxmin which also provides some commentary on this, including mention of Bob Nelson's Minima software.
I also want to make note of the passing of Bob Nelson on November 2 2022 (3 days ago).
See Roy Axelson's request here: https://www.aavso.org/comment/162089#comment-162089