Thank you Mohammad. I looked at your web page and you do exciting stuff!
Your assessment of GSL is what I needed. I think the manual is well
written and tells me what I can do with it--as you mention the higher
level details applied to a specific area of science probably require
another added package- or at least writing the software "in house". I
probably will proceed that way. One difficulty is that this code will
probably eventually get handed off to a biologist and a software
engineer--so I need to try to keep it on terms that they can maintain.
I also need to be sure that a language (e.g. GSL) will stay around
long term---seems like that is a problem these days. In addition I find
that a lot of the "post C" languages can get very cluttered in the wrong
hands and tend so stick with C as a science language especially for code
destined to other people (perhaps I am showing my age!).
Regarding AI and Machine Learning it is rather new to me and I
probably will not be involved other than using openCV for
image processing. I just want to track if any of it has been
accommodated by existing routines, but I guess it is rather broad and
subject to its own packages-
Cheers
Fritz
On Tue, Mar 16, 2021 at 9:55 AM Mohammad Akhlaghi <mohammad@akhlaghi.org
<mailto:mohammad@akhlaghi.org>> wrote:
Hi Fritz,
GSL is a low-level/fundamental/core numeric analysis library providing
the low-level tools for numeric operations that are common in many
different science applications.
So for example in GNU Astronomy Utilities (that I am maintaining), we
heavily rely on many of GSL's low-level tools and use them extensively
for astronomical data analysis. It is the same for many other
scientific
software (they use GSL for low-level computationally hard operations).
So if you want to write a high-level spectral analysis library/program
many of the computational tools you'll need are in GSL (for example for
fitting emission lines or the continuum, or convolving/smoothing data
and many more things), but you have to write the wrapper functions to
use them in the special context you need in your spectral analysis.
About AI, I think its out of GSL's scope (similar to the logic above:
GSL is a low-level/fundamental library)! I am not a GSL maintainer, but
this is just what I feel given the current set of tools it provides.
Cheers,
Mohammad
On 3/16/21 1:25 PM, Mike Marchywka wrote:
> Can you comment on how you compare spectra? Just for my own
> personal interest, not sure if will further the thread here however..
> Not sure a "dot product" in the conventional sense would help much.
> You could imagine comparing peak positions and relative heights
> or a fit to a continuum for example. Peaks plus black body in some
> vector comparison?
>
> note new address
> Mike Marchywka 306 Charles Cox Drive Canton, GA 30115
> 2295 Collinworth Drive Marietta GA 30062. formerly 487 Salem
Woods Drive Marietta GA 30067 404-788-1216 (C)<- leave message
989-348-4796 (P)<- emergency
>
>
> ________________________________________
> From: Help-gsl <help-gsl-bounces+marchywka=hotmail.com@gnu.org
<mailto:hotmail.com@gnu.org>> on behalf of Fritz Sonnichsen
<sonnichs@gmail.com <mailto:sonnichs@gmail.com>>
> Sent: Tuesday, March 16, 2021 9:15 AM
> To: help-gsl@gnu.org <mailto:help-gsl@gnu.org>
> Subject: Checking GSL for Spectroscopy
>
> I am preparing to convert MATLAB code to something more general.
The new
> code will run on LInux and ARM processors.
> For a lot of reasons I am not going to use Python. We also
want to
> keep this project "close" to scientists and do not want to turn
it into a
> full time computer programming job. So the final word is that I
am looking
> for something that can be called by (and hopefully is written) in
C. Worse
> case I will just write the code myself but would prefer to start
> integrating our systems into something with a lot of pre-written
and vetted
> routines.
>
> GSL looks like a good choice. Maybe R comes next. We have a mix
of needs
> but I will point out a few:
> 1) Baselining a spectrum
> 2) Finding peaks in that spectrum
> 3) using Pearson correlation to compare the spectrum QUICKLY to
> about 50,000 recorded examples.
>
> We also have some uses with basic statistics and we do some image
> processing.
>
> So my question is--does GSL position itself in these areas?
MATLAB (with
> packages) does them all.
> I am not sure how active GSL, if it is keeping up with AI,
imaging and
> spectroscopy--or is it fading or giving way to popular languages for
> example. I was surprised that the 600+ page manual did not seem
to show
> anything relating to the simple spectral analysis described above for
> example. Certainly I can search the web for others' code but at
some point
> if I cannot attach to a well established product I will just write it
> myself.
>
> Any comments appreciated
> thanks
> Fritz
>