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In most analysis situations (except for simulations), an input dataset is
necessary, but that part of the pipeline was just left out and a general
`SURVEY' variable was set and never used. So with this commit, we actually
use a sample FITS file from the FITS standard webpage, show it (as well as
its histogram) and do some basic calculations on it.
This preparation of the input datasets is done in a generic way to enable
easy addition of more datasets if necessary.
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Since the final product of the pipeline is a LaTeX-created PDF file, it was
necessary to also have LaTeX within the pipeline. With this commit, TeX
Live is also built as part of the configuration and all the necessary
packages to build the PDF are also installed and mentioned in the paper
along with their versions.
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Some minor corrections have been made in the paper's text to make things
easier to read and be more formal.
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All the used software are now acknowledged in the template paper along with
their versions. This section is also mentioned in the check list, so users
don't delete it by mistake.
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Different implementations of AWK may use different random number
generators, so even setting the seed will not ensure a reproducible
result. Because of this, the random plot may be different when the
pipeline runs on different systems and this can confuse early users
(its contrary to the exact reproducibility that is the whole purpose
of this pipeline).
The plot is just a simple X^2 plot, showing the squared value of the X
axis on the Y axis. It is very simple, but atleast it will be
identical on all systems. Also, there may be too many complicated
things in the pipeline already for an early user, and its just a
demonstration, so the easier/simpler, the better.
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The computer modern font that was designed by Donald Knuth and is the
default of LaTeX is indeed a very good, elegant and nice font in
print. However, most journals choose the roman fonts and thus the computer
modern font doesn't (subjectively) fit into the journal format nicely. So
the default font of this pipeline's paper now uses LaTeX's `newtx' package
for a roman style font.
Also, a set of preamble settings were added to allow headers in the pages
of the paper to make the result resemble more like a journal paper
(familiar to the eye), while also adding important information. A new
header was made for this job. This new header now also contains the title
and author settings (after all, these are also a type of header).
Finally, the LaTeX `authblk' package was used to organize authors and their
affiliations.
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An abstract is also something most research reports will need, so a simple
macro was defined to make it easy (not too many code lines within the text
of the main body) to implement an abstract.
The title was also moved up a little to better use the extra white space at
the top of the page.
Finally, the `\highlightchanges' along with its explanation (both as
comments and within the text with examples) was added in `paper.tex' to
demonstrate how useful the `\new' and `\tonote' macros are.
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Until now, we were using the `multicol' package which is mainly designed
for more than two columns. Instead, we are just passing a `twocolumn'
option to the article document class.
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The comments in the preambles were made more clear and elaborate.
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Making plots and including references are integral parts of a scientific
paper. Therefore to demonstrate how cleanly they can be used within the
pipeline, they are now used to produce the final PDF.
To use PGFPlots a random dataset is made (using AWK's random function) and
is plotted using PGFPlots. The minimum and maximum values of the dataset
are also included in the text to further show how such calculations can go
into the macros and text.
For the references, the NoiseChisel paper was added as a reference to cite
when using this pipeline along with the MUSE UDF paper I, which uses this
pipeline for two sections. Following this discussion, citation is also
discussed in `README.md` and the NoiseChisel paper is also added as a
published work with a reproduction pipeline.
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Until now, the copyright statement was left empty for the users of the
pipeline to fill. However, the files have already been created and have an
author (or contributing authors) before the user starts using the
pipeline. So the original authors of the files are added along with the
year. The user can add their own name to the existing files under the
"Contributing author" when they start and they will be the "Original
author" of the new files they create.
Several changes were also made to the TeX management:
- LaTeX is run within a `reproduce/build/tex/build' directory now. Not in
the top reproduction pipeline directory. This helps keep all the
auxiliary TeX files and directories in that directory and keep the top
reproduction pipeline directory clean. After the final PDF is built, a
copy is put in the top reproduction pipeline directory for easy viewing.
- The PGFPlots preamble was also made more useful, allowing the name of
the `.tex' file to also be the name of the final plot that is
produced. This is a GREAT feature, because without it, the TiKZ
externalization would be based on order of the plots within the
paper. But now, order is irrelevant and we can even delete the TiKZ
files within the processing workhorse-Makefiles so the plots are
definitly rebuilt on the next run.
- The paper is now in a two-column format to be more similar to published
papers.
A tip on debugging Make was added to `README.md'.
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The first commit didn't have an explanation on correcting the title of the
project in the final PDF or the top-level Makefile, so a pointer was added
to the list. Also, some extra dependencies were removed from `README' and
its paragraphs were scaled to the new width of 75 characters that is
defined in `.dir-locals.el' (for Emacs settings, taken from Gnuastro).
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Let's start working on this pipeline independently with this first
commit. It is based on my previous experiences, but I had never made a
skeleton of a pipeline before, it was always within a working analysis.
But now that the pipeline has a separate repository for its self, we will
be able to work on it and use it as a base for future work and modify it to
make it even better. Hopefully in time (and with the help of others), it
will grow and become much more robust and useful.
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