General Remarks

Citing this Software Package

If you use this software package for any publication, please cite the paper Bittner et al. 2019 and mention this webpage in a footnote. The BibTeX entry for this publication is:

@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}
}

Citing the Analysis Techniques

We remind the user to also cite the publications of the underlying analysis techniques and models, if these are used in the analysis. These are in particular:


Warning

Although we provide this pipeline as a convenient, all-in-one framework for the analysis of IFS data, it is of fundamental importance that the user understands exactly how the involved analysis methods work. We warn that the improper use of any of these analysis methods, whether executed within the framework of the GIST pipeline or not, will likely result in spurious or erroneous results and their proper use is solely the responsibility of the user. Likewise, the user should be fully aware of the properties of the input data before intending to derive high-level data products. Therefore, this pipeline should not be simply adopted as a black-box. To this extend, we urge any user to get familiar with both the input data and analysis methods, as well as their implementation in this pipeline.