ATOMIS is a web application that aims to search for observations in the ALMA archive for a given list of
sources and species.
The users can specify different filters on observations (angular and spectral resolutions, sensitivity, ...)
and on species (minimum and maximum Eup, Aij, maximum frequency uncertainty).
The user can either choose species on the CASSIS spectroscopic database (JPL[1], CDMS[2] and VASTEL) or
upload spectroscopic files. It also allows the users to download the corresponding ALMA data products
such as fits files and to visualize them with ALADIN[3] and CASSIS[4].
In order to search for ALMA observations, ATOMIS uses the Astropy package[5] and some features of the
Alminer tool[6] (ALMA Archive Mining & Visualization Toolkit).
1. Pickett, H. M., Poynter, R. L., et al. 1998, JQSRT, 60, 883.
2. Müller, H. S. P., Schlöder, F., et al. 2005, Journal of Molecular Structure, 742, 215.
3. Bonnarel, F., Fernique, P., et al. (2000). The ALADIN interactive sky atlas-a reference tool for
identification of astronomical sources. Astronomy and Astrophysics Supplement Series, 143(1), 33-40.
4. Vastel, C., Bottinelli, S., et al. (2015). CASSIS: A tool to visualize and analyse instrumental and
synthetic spectra. In SF2A-2015: Proceedings of the Annual meeting of the French Society of Astronomy and
Astrophysics (pp. 313-316). (http://cassis.irap.omp.eu/)
5. Robitaille, T. P., Tollerud, et al. (2013). Astropy: A community Python package for astronomy.
Astronomy & Astrophysics, 558, A33.
6. Ahmadi, A., Hacar, A. ALminer: ALMA archive mining and visualization toolkit. Astrophysics Source
Code Library. (https://ascl.net/code/v/2971).
This project has received funding from the European Research Council (ERC) under the European Union's
Horizon 2020 research and innovation programme (grant agreement 949278).
If the ATOMIS was helpful for your research work, the following citation would be appreciated:
This research has made use of "ATOMIS" developed at IRAP-UPS, Toulouse, France in the framework of
the ERC Starting Grant Chemtrip (grant agreement 949278, PI: A. Coutens).
Audrey Coutens (IRAP, Project Scientist), audrey.coutens@irap.omp.eu
Jean-Michel Glorian (IRAP, CNRS Project Manager), jean-michel.glorian@irap.omp.eu
Mickaël Boiziot (IRAP, CNRS Engineer), mickael.bioziot@irap.omp.eu
Sahar Ben Hmida (IRAP, Research Engineer), sahar.ben-hmida@irap.omp.eu