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Exoplanet Athmosphere New Emission Transmission Spectra Analysis

Deliverables

Risk assessment procedure

Risk assessment procedure

The retreival framework

The retrieval framework (month 24) The first deliverable is the spectral retrieval framework itself. As the leading analysis software package, much value for the community can be gained by providing the framework as open-source platform. The retrieval technique developed in the context of task 1 will be made available first to the consortium. When tested within task 2 it will be made available to the exoplanet community as a whole via a dedicated website interface and stand-alone code packages hosted on public code repositories (e.g. GitHub).

Best rocky planets for JWST

For rocky planets around cool stars, climate and chemistry models, with a view to identify best possible targets for JWST observations (input to WP2), in particular those within the habitable zone.

Current Catalogs

A census and analysis of current exoplanet online catalogues and virtual observatories, their format and state-of-art online resources in order to adapt and define our knowledge base format as well as automatic query to these catalogues into our base.

SED tools

An update of VOSA, a web-based, VO-compliant tool for Spectral Energy Distribution fitting.

Parameters

For the planets expected to be analysed in WP2: prediction of the evolution of the orbital state and consequences for planetary climates. Estimate of the total energy budget: insolation and tidal heating. Estimate of the atmospheric mass loss from the planet. Range of atmospheric/surface temperature of planets from Global Climate Models. Tidal dissipation coefficients in the host star as a function of their mass, age, rotation. Tidal dissipation coefficients in planets and their different layers (rocky core, atmosphere).

3D modelling

Estimate of necessity of 3D (versus current 1D) chemical and dynamical atmospheric models in the interpretation of transit, eclipse and phase-curves observations, the outcome will be used by WP3.

Magnetic field

Using scaling law deduced from published stellar rotation & dynamo simulations, will provide (1-12 months) for star for which magnetic observations are absent or X-ray proxy from WP4.3 not yet available, rotation and magnetic field (field amplitude, possibly dominant topology) proxy for host star. Use the guessed B field to compute 1-D wind model (1-12 months) for main target list and at t=18 months using WP4.3 input into multi-D simulations computed realistic host star wind. Output: realistic wind solution. From wind simulations, will determine stellar wind characteristics such as Alfvén radius, turbulent ram pressure, magnetic pressure and particles density at planetary orbits and from pressure balance between wind and planet’s magnetosphere will assess minimal (induced or intrinsic) planetary magnetosphere size. A first release of output/parameters in year 0-1 is planned and then a more complete release at the end of the project with more accurate evaluation of the parameters.

knowledge server

Definition and production of a knowledge displayer that will display the knowledge base content to the end-user by accessing the knowledge base server. The resulting displayer will take the form of a responsive HTML5 website providing a flexible user experience to meet both the scientists and the general public needs.

VO-enabled

Improvement and development of several user-friendly tools based on Virtual Observatory (VO) protocols. They will include a web-based interface (becoming ultimately a module of the knowledge base) and will provide both data, models and some preliminary results which will feed other work packages.

SPOC on space sciences and exoplanets

Realisation of a Small Private Online Course (SPOC) on space sciences and exoplanets that will target the students in astronomy and astrophysics of Université Paris Saclay. It will be accessible through a university platform and consisting of about 10 educative vidéos.

Searching for OpenAIRE data...

Publications

ExoGAN: Retrieving Exoplanetary Atmospheres Using Deep Convolutional Generative Adversarial Networks

Author(s): Zingales, T.; Waldmann, I. P.
Published in: Astronomical Journal , 156 (6) , Article 268. (2018), Issue 1, 2018, ISSN 1538-3881

ARCiS framework for exoplanet atmospheres


Published in: ISSN 0004-6361
DOI: 10.1051/0004-6361/201833678

Exoplanet host-star properties: the active environment of exoplanets

Author(s): John P. Pye, David Barrado, Rafael A. Garcıa, Manuel Gudel, Jonathan Nichols, Simon Joyce, Nuria Huelamo, Marıa Morales-Calder´on, Mauro Lopez, Enrique Solano, Pierre-Olivier Lagage, Colin P. Johnstone, Allan Sacha Brun, Antoine Strugarek, Jeremy Ahuir
Published in: 2019