From 30733df5d30e150a26d53173d14bf941f179f6f5 Mon Sep 17 00:00:00 2001
From: Mohammad Akhlaghi <mohammad@akhlaghi.org>
Date: Tue, 27 Feb 2018 14:48:02 +0100
Subject: Default PDF now uses PGFPlots and BibLaTeX

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.
---
 tex/references.tex | 45 +++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 45 insertions(+)
 create mode 100644 tex/references.tex

(limited to 'tex/references.tex')

diff --git a/tex/references.tex b/tex/references.tex
new file mode 100644
index 0000000..b3998a2
--- /dev/null
+++ b/tex/references.tex
@@ -0,0 +1,45 @@
+@ARTICLE{bacon17,
+   author = {{Bacon}, R. and {Conseil}, S. and {Mary}, D. and {Brinchmann}, J. and
+	{Shepherd}, M. and {Akhlaghi}, M. and {Weilbacher}, P.~M. and
+	{Piqueras}, L. and {Wisotzki}, L. and {Lagattuta}, D. and {Epinat}, B. and
+	{Guerou}, A. and {Inami}, H. and {Cantalupo}, S. and {Courbot}, J.~B. and
+	{Contini}, T. and {Richard}, J. and {Maseda}, M. and {Bouwens}, R. and
+	{Bouch{\'e}}, N. and {Kollatschny}, W. and {Schaye}, J. and
+	{Marino}, R.~A. and {Pello}, R. and {Herenz}, C. and {Guiderdoni}, B. and
+	{Carollo}, M.},
+    title = "{The MUSE Hubble Ultra Deep Field Survey. I. Survey description, data reduction, and source detection}",
+  journal = {A\&A},
+archivePrefix = "arXiv",
+   eprint = {1710.03002},
+ keywords = {galaxies: distances and redshifts, galaxies: high-redshift, cosmology: observations, methods: data analysis, techniques: imaging spectroscopy, galaxies: formation},
+     year = 2017,
+    month = nov,
+   volume = 608,
+      eid = {A1},
+    pages = {A1},
+      doi = {10.1051/0004-6361/201730833},
+   adsurl = {http://adsabs.harvard.edu/abs/2017A\%26A...608A...1B},
+  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
+}
+
+
+
+
+
+@ARTICLE{ai15,
+   author = {{Akhlaghi}, M. and {Ichikawa}, T.},
+    title = "{Noise-based Detection and Segmentation of Nebulous Objects}",
+  journal = {ApJS},
+archivePrefix = "arXiv",
+   eprint = {1505.01664},
+ primaryClass = "astro-ph.IM",
+ keywords = {galaxies: irregular, galaxies: photometry, galaxies: structure, methods: data analysis, techniques: image processing, techniques: photometric},
+     year = 2015,
+    month = sep,
+   volume = 220,
+      eid = {1},
+    pages = {1},
+      doi = {10.1088/0067-0049/220/1/1},
+   adsurl = {http://adsabs.harvard.edu/abs/2015ApJS..220....1A},
+  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
+}
-- 
cgit v1.2.1

