Abstract
The goal of this white paper is to provide a snapshot of the data availability and data needs primarily for the Ariel space mission, but also for related atmospheric studies of exoplanets and cool stars. It covers the following data-related topics: molecular and atomic line lists, line profiles, computed cross-sections and opacities, collision-induced absorption and other continuum data, optical properties of aerosols and surfaces, atmospheric chemistry, UV photodissociation and photoabsorption cross-sections, and standards in the description and format of such data. These data aspects are discussed by addressing the following questions for each topic, based on the experience of the ‘data-provider’ and ‘data-user’ communities: (1) what are the types and sources of currently available data, (2) what work is currently in progress, and (3) what are the current and anticipated data needs. We present a GitHub platform for Ariel-related data, with the goal to provide a go-to place for both data-users and data-providers, for the users to make requests for their data needs and for the data-providers to link to their available data. Our aim throughout the paper is to provide practical information on existing sources of data whether in data bases, theoretical, or literature sources.
| Original language | English |
|---|---|
| Pages (from-to) | 636-690 |
| Number of pages | 55 |
| Journal | RAS Techniques and Instruments |
| Volume | 3 |
| Issue number | 1 |
| Early online date | 19 Sept 2024 |
| DOIs | |
| Publication status | E-pub ahead of print - 19 Sept 2024 |
Bibliographical note
Publisher Copyright:© 2024 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society.
Keywords
- Data Methods
- Data needs
- Numerical methods
- Algorithms
- Ariel
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