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path: root/reproduce/src/make/delete-me.mk
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2019-01-02Copyright year updated to 2019Mohammad Akhlaghi-1/+1
Since the current implementation of this pipeline officially started in 2018, all the files only had 2018 in their copyright years. This has now been corrected to 2018-2019.
2018-11-25More generic naming conventionMohammad Akhlaghi-18/+12
Until now, we were keeping the input file within the reproduction pipeline's directories using the same name as the database/server. Now, we are using a short/summarized filename convention for the input dataset.
2018-11-25Pipeline now downloads and uses an input datasetMohammad Akhlaghi-4/+67
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.
2018-11-12Dependencies built at the start of the pipelineMohammad Akhlaghi-6/+6
To enable easy/proper reproduction of results, all the high-level dependencies are now built within the pipeline and installed in a fixed directory that is added to the PATH of the Makefile. This includes GNU Bash and GNU Make, which are then used to run the pipeline. The `./configure' script will first build Bash and Make within itself, then it will build All the dependencies are also built to be static. So after they are built, changing of the system's low-level libraries (like C library) won't change the tarballs. Currently the C library and C compiler aren't built within the pipeline, but we'll hopefully add them to the build process also. With this change, we now have full control of the shell and Make that will be used in the pipeline, so we can safely remove some of the generalities we had before.
2018-08-11Not using random distribution in demonstration plotMohammad Akhlaghi-2/+1
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.
2018-02-27Default PDF now uses PGFPlots and BibLaTeXMohammad Akhlaghi-0/+73
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.