From 7ddcde3ddb3ebc289924a6d3aefad695f1a98b6b Mon Sep 17 00:00:00 2001
From: Amelia Fraser-McKelvie <40415417+ameliafm612@users.noreply.github.com>
Date: Tue, 12 Nov 2024 17:07:03 +0100
Subject: [PATCH] Update CITATION

---
 CITATION | 38 ++++++++++----------------------------
 1 file changed, 10 insertions(+), 28 deletions(-)

diff --git a/CITATION b/CITATION
index 376734a..9914a0b 100644
--- a/CITATION
+++ b/CITATION
@@ -2,36 +2,18 @@
 #                                      C I T A T I O N   I N S T R U C T I O N S                                       #
 # ==================================================================================================================== #
 
-This code is made available under the license enclose with the software. 
+This code is made available under the standard MIT license enclosed with the software. 
 
 Over and above the legal restrictions imposed by this license, if you use this software or a modification of this
-software for an academic publication you are obliged to provide proper attribution. This must be done by citing the
-paper that describes this software (Bittner et al. 2020, A&A, 628, 117; ui.adsabs.harvard.edu/abs/2019A%26A...628A.117B)
-and including a link to the ASCL entry of the code in a footnote (http://ascl.net/1907.025). The bibtex entry for this
-paper is the following: 
-
-    @ARTICLE{2019A&A...628A.117B,
-           author = {{Bittner}, A. and {Falc{\'o}n-Barroso}, J. and {Nedelchev}, B. and {Dorta}, A. and {Gadotti}, D.~A. and {Sarzi}, M. and {Molaeinezhad}, A. and {Iodice}, E. and {Rosado-Belza}, D. and {de Lorenzo-C{\'a}ceres}, A. and {Fragkoudi}, F. and {Gal{\'a}n-de Anta}, P.~M. and {Husemann}, B. and {M{\'e}ndez-Abreu}, J. and {Neumann}, J. and {Pinna}, F. and {Querejeta}, M. and {S{\'a}nchez-Bl{\'a}zquez}, P. and {Seidel}, M.~K.},
-            title = "{The GIST pipeline: A multi-purpose tool for the analysis and visualisation of (integral-field) spectroscopic data}",
-          journal = {\aap},
-         keywords = {methods: data analysis, techniques: spectroscopic, galaxies: individual: NGC 1433, galaxies: stellar content, galaxies: kinematics and dynamics, galaxies: structure, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics},
-             year = 2019,
-            month = aug,
-           volume = {628},
-              eid = {A117},
-            pages = {A117},
-              doi = {10.1051/0004-6361/201935829},
-    archivePrefix = {arXiv},
-           eprint = {1906.04746},
-     primaryClass = {astro-ph.GA},
-           adsurl = {https://ui.adsabs.harvard.edu/abs/2019A&A...628A.117B},
-          adsnote = {Provided by the SAO/NASA Astrophysics Data System}
-    }
-
+software for an academic publication we ask that you provide proper attribution. This must be done by citing the
+paper that describes this software: Fraser-McKelvie et al., submitted http://arxiv.org/abs/2411.03430 (reference to be 
+updated upon acceptance).
 
+In addition, please consider citing the GIST pipeline, the code for which nGIST is based upon: 
+Bittner et al. 2020, A&A, 628, 117; ui.adsabs.harvard.edu/abs/2019A%26A...628A.117B.
 
 We remind the user to also cite the papers of the underlying analysis techniques and models, if these are used in the
-analysis. In the default GIST implementation, these are the adaptive Voronoi tesselation routine (Cappellari & Copin
-2003), the penalised pixel-fitting method (pPXF; Cappellari & Emsellem 2004; Cappellari 2017), the pyGandALF routine
-(Sarzi et al. 2006; Falcon-Barroso et al. 2006; Bittner et al. 2019), the line-strength measurement routines (Kuntschner
-et al. 2006; Martin-Navarro et al. 2018), and the MILES models included in the tutorial (Vazdekis et al. 2010). 
+analysis. In the default nGIST implementation, these are the adaptive Voronoi tesselation routine (Cappellari & Copin
+2003), the penalised pixel-fitting method (pPXF; Cappellari & Emsellem 2004; Cappellari 2017, Cappellari 2023), 
+the line-strength measurement routines (Kuntschner et al. 2006; Martin-Navarro et al. 2018), and the MILES models 
+included in the tutorial (Vazdekis et al. 2010).