A virtual observatory for photoionized nebulae: the Mexican Million Models database (3MdB)
Christophe Morisset, Gloria Delgado-Inglada, Nahiely Flores-Fajardo

TL;DR
The paper introduces the Mexican Million Models database (3MdB), a comprehensive, user-friendly online repository of photoionization models that facilitates access to extensive model outputs for studying photoionized nebulae.
Contribution
It provides a publicly accessible, well-organized database of photoionization models with detailed outputs, addressing accessibility and usability issues in the field.
Findings
The database includes 178 emission line intensities.
It contains ionic fractions for all ions in the models.
Examples demonstrate its utility for research.
Abstract
Photoionization models obtained with numerical codes are widely used to study the physics of the interstellar medium (Planetary Nebulae, H II regions, etc). Grid of models are performed to understand what are the effects of the different parameters used to describe the regions on the observables (mainly emission line intensities). Most of the time, only a small part of the computed results of such grids are published, and they are sometimes hard to obtain in a user-friendly format. We present here the Mexican Million Models dataBase (3MdB), an effort of resolving both of these issues in the form of a database of photoionization models, easily accessible throught the MySQL protocol, and containing a lot of usefull outputs from the models, such as the intensities of 178 emission lines, the ionic fractions of all the ions, etc. Some examples of the use of the 3MdB are also presented.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSpectroscopy and Laser Applications · Atmospheric Ozone and Climate · Scientific Measurement and Uncertainty Evaluation
