ARIEL SCIENCE ADVISORY TEAM UK ACTIVITIES

Lead Research Organisation: University College London
Department Name: Physics and Astronomy

Abstract

In November 2020 Ariel was adopted as M4, the fourth medium-sized mission in ESA's Cosmic Vision Plan. Ariel is the first space mission dedicated to measuring the chemical composition and thermal structures of a large, well-constructed sample of exoplanets, enabling planetary science far beyond the boundaries of the Solar System. Ariel will study what planets are made of and how planetary systems form and evolve by surveying a diverse sample of ~ 1000 of exoplanets.
For this ambitious scientific programme, Ariel is designed as a dedicated survey mission for transit and eclipse spectroscopy, capable of observing a large and well-defined planet sample within its 4-year mission lifetime. Transit, eclipse and phase-curve spectroscopy methods, whereby the signal from the star and planet are differentiated using knowledge of the planetary ephemerides, allow us to measure atmospheric signals from the planet at levels of 10-50 part per million (ppm) relative to the star. Given the brightness of the target host stars more sophisticated techniques, such as eclipse mapping, will also be used to give deeper insights. These observations require a specifically designed, stable payload and satellite platform with broad, instantaneous wavelength coverage to detect many molecular species, probe the thermal structure, identify clouds and monitor the stellar activity. The wavelength range covered by Ariel includes all the expected major atmospheric gases from e.g. H2O, CO2, CH4 NH3, HCN, H2S through to the more exotic metallic compounds, such as TiO, VO, and condensed species.
Ariel data and data products will be of great interest and utility for the entire exoplanet community, beyond those directly involved in the mission. In response, the data policy has been designed to embrace the astronomy community in general and the exoplanet community in particular. The intention is to provide high quality data in a timely manner and to have a continuous dialogue with the wider community, maximising the science and impact that can be achieved by the mission.
The target list will be drawn from a larger list of all potential Ariel targets. This larger list will be made public and maintained publicly. Inputs will be solicited from the general community through formal time-bounded processes such as whitepapers and meetings. Moreover the list will be presented and maintained in an interactive environment enabling direct input from members of the community. The target list will be drawn from the larger list through scientific priorities and other guidelines through scheduling exercises performed under the responsibility of the Ariel Science team. The community will be kept informed about the status of the target list, as will the ESA Advisory Bodies whose feedback will be solicited.
Beyond the science community, Ariel's mission to characterise distant worlds offers an immense opportunity to capture the public imagination and inspire the next generation of scientists and engineers. Through the provision of enquiry-based educational programmes and citizen science platforms, school students and members of the public will have the opportunity to participate directly in the analysis of Ariel.

Publications

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Al-Refaie A (2021) TauREx 3: A Fast, Dynamic, and Extendable Framework for Retrievals in The Astrophysical Journal

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Al-Refaie A. F. (2022) TauREx3: Tau Retrieval for Exoplanets in Astrophysics Source Code Library

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Anisman L (2022) Cross-sections for heavy atmospheres: H 2 O continuum in Journal of Quantitative Spectroscopy and Radiative Transfer

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Anisman L (2022) Cross-sections for heavy atmospheres: H 2 O self-broadening in Journal of Quantitative Spectroscopy and Radiative Transfer

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Anisman Lara O. (2022) Cross-sections for heavy atmospheres: H$_2$O self-broadening in arXiv e-prints

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Barstow J (2022) A retrieval challenge exercise for the Ariel mission in Experimental Astronomy

 
Description Chair of James Webb Space Telescope time allocation panel
Geographic Reach Multiple continents/international 
Policy Influence Type Participation in a guidance/advisory committee
Impact JWST results will revolutionise our understanding of many astrophysical areas.
 
Description Member of the ARIEL ESA Science Advisory Team
Geographic Reach Europe 
Policy Influence Type Participation in a guidance/advisory committee
 
Description Panel member, European Research Council (ERC) Starting Grant
Geographic Reach Europe 
Policy Influence Type Participation in a guidance/advisory committee
Impact Improvement of scientific research.
URL https://erc.europa.eu
 
Description ERC ExoAI
Amount € 1,400,000 (EUR)
Funding ID 758892 
Organisation European Research Council (ERC) 
Sector Public
Country Belgium
Start 01/2019 
End 12/2024
 
Description H2020 Compet 2017
Amount £180,000 (GBP)
Funding ID 776403 
Organisation European Commission H2020 
Sector Public
Country Belgium
Start 04/2018 
End 06/2021
 
Title Ariel target candidates web simulator 
Description This website has been developed by Dr. Ahmed Al-Refaie (UCL) and hosts a database of all confirmed exoplanets which are viable target candidates for the ESA Ariel space mission. The expected Ariel performances are dynamically generated for each planet using the ArielRad code in the website backend (Mugnai et al. 2020), following the procedure described in (Edwards et al. 2019). The website hosts a web-interface Ariel Exposure Time Calculator co-developed by Dr. Andreas Papageorgiou (U. of Cardiff). 
Type Of Material Improvements to research infrastructure 
Year Produced 2021 
Provided To Others? Yes  
Impact For the moment the website is still being tested by a small number of researchers in the Ariel consortium, but it will soon be released to the Ariel consortium and then to the external community. 
URL https://exodb.space
 
Title New AI techniques from Ariel Data Challenge 2021 and 2022 
Description The Ariel Machine Learning Data Challenge 2021 and 2022, were set to harness the expertise of the artificial intelligence community to help disentangle this unwanted noise from the light filtering through exoplanet atmospheres. These were the second and third Ariel Machine Learning Data challenges. With each competition the Ariel science team is able to work towards a programme which will enable them to get the best quality data from Ariel. 100+ teams from around the world participated. The teams represented a mix of academia and AI companies. 
Type Of Material Improvements to research infrastructure 
Year Produced 2021 
Provided To Others? Yes  
Impact The competition winners were able to achieve highly accurate solutions for even the most difficult and noisy observations of exoplanets. 
URL https://arielmission.space/index.php/data-challenges/
 
Title TauREx3 spectral retrieval 
Description TauREx 3 (Tau Retrieval for Exoplanets) is an open-source fully bayesian inverse atmospheric retrieval framework licensed under BSDv3. It aims to make exoplanetary atmosphere modelling and retrievals fast, easy and flexible. TauREx 3 offers a fully customizable framework that allows you to mix and match atmospheric parameters and add in your own to perform modelling and retrievals. For scientists, the standalone taurex program provides a wealth of parameters to build forward models, simulate instruments and perform retrievals. For developers, TauREx3 provides a rich library of classes to build your own programs and any new atmospheric parameters you create can be used in the standalone program like it was always there. 
Type Of Material Improvements to research infrastructure 
Year Produced 2021 
Provided To Others? Yes  
Impact Number of downloads of TauREx3: 200+ per/month on average, worldwide. Publications: https://iopscience.iop.org/article/10.3847/1538-4357/ac0252 https://arxiv.org/abs/2110.01271 
URL https://github.com/ucl-exoplanets/TauREx3_public
 
Description Collaboration with Canada 
Organisation McGill University
Country Canada 
Sector Academic/University 
PI Contribution We are collaborating on the science of Ariel. We will visit them in May 2022.
Collaborator Contribution Prof. Cowan and his team have started to collaborate actively on Ariel science. They are also working with the Canadian Space Agency to secure a hardware contribution to Ariel (cryo-harness)
Impact Publications, comparison of modelling tools.
Start Year 2020
 
Description Collaboration with RAL-AI, Alan Turing and Dirac 
Organisation Alan Turing Institute
Country United Kingdom 
Sector Academic/University 
PI Contribution UCL Centre for Exochemistry Data is collaborating with RAL-AI, Alan Turing Institute and Dirac to create an infrastructure to deliver Ariel level 4 Data. Ariel level 4 Data will include AI-processed data recorded with the Ariel Space Telescope and will be delivered to the open community.
Collaborator Contribution RAL-AI and Alan Turing Institute are providing experience and expertise in AI techniques. Dirac is proving expertise in computer science and access to GPU and CPU time.
Impact The collaboration has started recently, but a number of papers, workshops and activities are planned for 2022.
Start Year 2021
 
Description Collaboration with RAL-AI, Alan Turing and Dirac 
Organisation Rutherford Appleton Laboratory
Department Space Science and Technology Department
Country United Kingdom 
Sector Academic/University 
PI Contribution UCL Centre for Exochemistry Data is collaborating with RAL-AI, Alan Turing Institute and Dirac to create an infrastructure to deliver Ariel level 4 Data. Ariel level 4 Data will include AI-processed data recorded with the Ariel Space Telescope and will be delivered to the open community.
Collaborator Contribution RAL-AI and Alan Turing Institute are providing experience and expertise in AI techniques. Dirac is proving expertise in computer science and access to GPU and CPU time.
Impact The collaboration has started recently, but a number of papers, workshops and activities are planned for 2022.
Start Year 2021
 
Description Collaboration with RAL-AI, Alan Turing and Dirac 
Organisation Science and Technologies Facilities Council (STFC)
Department Distributed Research Utilising Advanced Computing
Country United Kingdom 
Sector Academic/University 
PI Contribution UCL Centre for Exochemistry Data is collaborating with RAL-AI, Alan Turing Institute and Dirac to create an infrastructure to deliver Ariel level 4 Data. Ariel level 4 Data will include AI-processed data recorded with the Ariel Space Telescope and will be delivered to the open community.
Collaborator Contribution RAL-AI and Alan Turing Institute are providing experience and expertise in AI techniques. Dirac is proving expertise in computer science and access to GPU and CPU time.
Impact The collaboration has started recently, but a number of papers, workshops and activities are planned for 2022.
Start Year 2021
 
Description NAOJ 
Organisation National Astronomical Observatory of Japan
Country Japan 
Sector Academic/University 
PI Contribution We have regular workshops and meetings involving all students and postdocs. We co-supervise students.
Collaborator Contribution Key collaborations have been established with NAOJ scientists which include Japanese participation to Ariel, but also international grants being submitted (e.g. ERC Synergy grant) and observing proposal to space and ground facilities (Hubble, JWST, Subaru, VLT etc.). Their expertise in modelling exoplanet interior and formaiton is complementary to our expertise on exoplanet atmospheres.
Impact Exchange of MSc, PhD students and postdocs, many high-impact papers. JAXA is interested in funding the coating of the Ariel-AIRS prism.
Start Year 2020
 
Title ASteRA 
Description ASteRA enhances the capabilities of TauRex retrieval framework as it enables the correction of stellar activity in transit spectra. 
Type Of Technology Software 
Year Produced 2022 
Impact ASteRA will enable the interpretation of transit spectra for atmospheres of planets orbiting active stars. 
 
Title Exodb 
Description Ariel Exoplanet Database 
Type Of Technology Webtool/Application 
Year Produced 2022 
Impact This database will be the portal to the community about the Ariel target candidates. Exodb will also allow to simulate Ariel performances through a web version of ArielRAD. Exodb is currently being tested. 
URL https://exodb.space
 
Title TauREx 3 (Tau Retrieval for Exoplanets) 
Description TauREx 3 (Tau Retrieval for Exoplanets) is an open-source fully bayesian inverse atmospheric retrieval framework licensed under BSDv3. It aims to make exoplanetary atmosphere modelling and retrievals fast, easy and flexible! 
Type Of Technology Software 
Year Produced 2021 
Open Source License? Yes  
Impact Global success: it is the most used spectral retrieval tool in the exoplanet community: 200+ download per month. 
URL https://github.com/ucl-exoplanets/TauREx3_public
 
Title YunMa 
Description The YunMa software enables the study of cloud microphysics and radiative properties in exoplanetary atmospheres. YunMa simulates the vertical distribution and sizes of cloud particles and their corresponding scattering signature in transit spectra. We validated YunMa against results from the literature. 
Type Of Technology Software 
Year Produced 2022 
Impact YunMa has been submitted for publication to the Astrophysical Journal (Ma et al., 2023; https://arxiv.org/abs/2301.13708). When published, we will release the software as open source. When coupled to the TauREx 3 platform, an open Bayesian framework for spectral retrievals, YunMa enables the retrieval of the cloud properties and parameters from transit spectra of exoplanets. 
 
Description Invited seminar ISSI Beijing 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact I gave an invited seminar to ISS-BJ, 500+ Asian scientists attended the seminar
Year(s) Of Engagement Activity 2021
URL https://www.bigmarker.com/international-space-science-/ESA-s-Ariel-Mission-with-Prof-Giovanna-Tinett...