APLpy: Astronomical Plotting Library in Python
By Thomas Robitaille, E. Bressert. 2012
741 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/6f7d840522460bdc3b2f6a23a30ef47e72269ae2
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Citations in the corpus
- astroquery: An Astronomical Web-querying Package in Python (2019, unknown): “…(Astropy Collaboration et al. 2018), numpy (Van der Walt et al. 2011), requests, keyring, beautifulsoup4, html5lib, matplotlib (Hunter 2007), APLpy (Robitaille & Bressert 2012), pyregions (pyregions developers 2018), regions (regions developers 2018) REFERENCES Astropy Collaboration, Robitaille,…”
- The VLA/ALMA Nascent Disk and Multiplicity (VANDAM) Survey of Orion Protostars. II. A Statistical Characterization of Class 0 and Class I Protostellar Disks (2020, methodology): “4 Tobin et al. Also, Enoch et al. (2011) examined a sample of 9 candidate protostellar disks in Serpens, including a possible disk toward the Class 0 protostar Serpens FIRS1 (Enoch et al. 2009). Despite the improved sensitivity of these instruments, most studies were limited to characterizing disks ”
- The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package (2018, unknown): “This subpackage differs from APLpy (Robitaille & Bressert 2012), in that the latter focuses on providing a very high-level interface to plotting that requires very few lines of code to get a good result, whereas wcsaxes defines an interface that is much closer to that of matplotlib (Hunter 2007).”
- Diffuse Radio Emission from Galaxy Clusters (2019, methodology): “This research made use of APLpy, an open-source plotting package for Python (Robitaille & Bressert 2012).”