Papers › AtomNeb: IDL Library and Python Package for Atomic Data of Ionized Nebulae
AtomNeb: IDL Library and Python Package for Atomic Data of Ionized Nebulae
A. Danehkar
The archive published only this paper's code-link row. Authors, date and abstract are from arXiv's metadata (CC0), read from the Kaggle arXiv metadata snapshot of 2026-09-12 where its title matched the archive's; the title is the archive's.
Spectra emitted from ionized nebulae typically contain collisionally excited and recombination lines, which can be used to trace physical conditions and chemical abundances of the interstellar medium in our Galaxy and other galaxies. "AtomNeb" is a database containing atomic data stored in the Flexible Image Transport System (FITS) file format, including the data for collisionally excited and recombination lines often observed in nebular astrophysics. The AtomNeb interface library is equipped with several application programming interface (API) functions developed in the Interactive Data Language (IDL), also usable in the GNU Data Language (GDL), and in the high-level, general-purpose programming language Python. The IDL library relies on the FITS file-related IDL procedures from the IDL Astronomy User's library, while the Python package depends on the Python packages Astropy and NumPy. The AtomNeb IDL library and the corresponding Python package, in conjunction with the "proEQUIB" IDL library and "pyEQUIB" Python package, respectively, can be used to perform plasma diagnostics and abundance analysis of emission lines from ionized gaseous nebulae.
Code
Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Results from the paper archive 2025-07-28
No leaderboard rows for this paper in the archive.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections