ARIEL SCIENCE ADVISORY TEAM UK ACTIVITIES
Lead Research Organisation:
UNIVERSITY COLLEGE LONDON
Department Name: Physics and Astronomy
Abstract
ARIEL (the Atmospheric Remote-sensing Infrared Exoplanet Large-survey) has been selected by ESA as the next medium class science mission (M4), expected to be launched in 2028. The mission will be devoted to observing spectroscopically in the optical and infrared a large and diverse population of transiting exoplanets in our nearby Galactic neighborhood, opening a new discovery space in the field of extrasolar planets and enabling the understanding of the physics and chemistry of these far away worlds.
ARIEL is based on a 1 m class telescope feeding two instruments: a moderate resolution spectrometer covering the wavelengths from 1.95 to 7.8 microns; and a three channel photometer (which also acts as a fine guidance sensor) with bands between 0.5 and 1.2 microns combined with a low resolution spectrometer covering 1.2 to 1.95 microns. During its four years of operation from an L2 orbit, ARIEL will continuously observe exoplanets transiting their host star. The target sample will include rocky and gaseous planets around a range of host star types. ARIEL will focus on warm and hot planets to take advantage of their well-mixed atmospheres which should show minimal condensation and sequestration of high-Z materials and thus reveal their bulk and elemental composition (especially C, O, N, S, Si). Observations of these warm/hot exoplanets will allow the understanding of the early stages of planetary and atmospheric formation during the nebular phase and the following few million years. ARIEL will thus provide a representative picture of the chemical nature of the exoplanets and relate this directly to the type and chemical environment of the host star.
The ARIEL Phase-B study is currently ongoing and will end in the autumn 2020. The adoption is expected in November 2020. This proposal will enable the UK science team, led by UCL and OU (Prof. Tinetti and Prof. Haswell, appointed members of the ESA-SAT) to complete the Phase B study, being adopted in 2020 and maintaining the scientific leadership in the ARIEL international consortium.
ARIEL is based on a 1 m class telescope feeding two instruments: a moderate resolution spectrometer covering the wavelengths from 1.95 to 7.8 microns; and a three channel photometer (which also acts as a fine guidance sensor) with bands between 0.5 and 1.2 microns combined with a low resolution spectrometer covering 1.2 to 1.95 microns. During its four years of operation from an L2 orbit, ARIEL will continuously observe exoplanets transiting their host star. The target sample will include rocky and gaseous planets around a range of host star types. ARIEL will focus on warm and hot planets to take advantage of their well-mixed atmospheres which should show minimal condensation and sequestration of high-Z materials and thus reveal their bulk and elemental composition (especially C, O, N, S, Si). Observations of these warm/hot exoplanets will allow the understanding of the early stages of planetary and atmospheric formation during the nebular phase and the following few million years. ARIEL will thus provide a representative picture of the chemical nature of the exoplanets and relate this directly to the type and chemical environment of the host star.
The ARIEL Phase-B study is currently ongoing and will end in the autumn 2020. The adoption is expected in November 2020. This proposal will enable the UK science team, led by UCL and OU (Prof. Tinetti and Prof. Haswell, appointed members of the ESA-SAT) to complete the Phase B study, being adopted in 2020 and maintaining the scientific leadership in the ARIEL international consortium.
Planned Impact
Industrial return - There are a number of items for which the UK ARIEL team is already engaged with UK industry teams. The items that are already within our planning are:
* Industrialisation and space qualification of tactical cooler compressors (e.g Hymatic, Exotec)
* One of our key goals is to get UK industry (e.g. Airbus, TAS-UK) as prime contractor for ARIEL or to provide a significant part of the spacecraft system
Discussions will continue in Phase B to iterate on possible workpackages for UK industry as a way to leverage UKSA investment in the payload in order to maximize the UK industrial return from the S/C contract.
Outreach - The discovery of over 4000 extrasolar planets in the last couple of decades is probably one of the most exciting developments of modern astronomy. It resonates enormously with a public that has already been shown to have high interest levels in the exploration of the diverse worlds of our own Solar System, and an insatiable hunger for news about space exploration. It directly addresses deep philosophical issues that concern our fellow citizens: what are other worlds like? how do they form and evolve? Are we alone in the universe?. So that means that public outreach that aims to engage our fellow citizens with the excitement of ARIEL and its science objectives will be at the forefront of our planning. An excellent way to engage and motivate the public is to provide access to data. The public will be invited to participate in the science exploitation of the ARIEL mission through access to data sets, taking advantage of the networks developed by very successful citizen science programs such as the Zooniverse/Planet Hunters team using Kepler data [Zooniverse website], and Solar Stormwatch [Solar Stormwatch website].
Attracting the Next Generation of Scientists, Engineers, forming future leaders - the UK future economy and competitiveness depends on strong science and engineering sectors. The promotion of observational and space sciences is crucial to inspire development of the next generation of scientists and engineers. Extrasolar planets are today one of the most trendy subjects, inspiring young people to take up the (physical) sciences in later studies and in their careers. The number of students choosing this field of research is increasing almost exponentially. The ARIEL team will work actively at promoting gender-balance in science and engineering, inspiring young female students to choose STEM subjects at A-level and higher education and to widen participation at universities from underrepresented communities.
* Industrialisation and space qualification of tactical cooler compressors (e.g Hymatic, Exotec)
* One of our key goals is to get UK industry (e.g. Airbus, TAS-UK) as prime contractor for ARIEL or to provide a significant part of the spacecraft system
Discussions will continue in Phase B to iterate on possible workpackages for UK industry as a way to leverage UKSA investment in the payload in order to maximize the UK industrial return from the S/C contract.
Outreach - The discovery of over 4000 extrasolar planets in the last couple of decades is probably one of the most exciting developments of modern astronomy. It resonates enormously with a public that has already been shown to have high interest levels in the exploration of the diverse worlds of our own Solar System, and an insatiable hunger for news about space exploration. It directly addresses deep philosophical issues that concern our fellow citizens: what are other worlds like? how do they form and evolve? Are we alone in the universe?. So that means that public outreach that aims to engage our fellow citizens with the excitement of ARIEL and its science objectives will be at the forefront of our planning. An excellent way to engage and motivate the public is to provide access to data. The public will be invited to participate in the science exploitation of the ARIEL mission through access to data sets, taking advantage of the networks developed by very successful citizen science programs such as the Zooniverse/Planet Hunters team using Kepler data [Zooniverse website], and Solar Stormwatch [Solar Stormwatch website].
Attracting the Next Generation of Scientists, Engineers, forming future leaders - the UK future economy and competitiveness depends on strong science and engineering sectors. The promotion of observational and space sciences is crucial to inspire development of the next generation of scientists and engineers. Extrasolar planets are today one of the most trendy subjects, inspiring young people to take up the (physical) sciences in later studies and in their careers. The number of students choosing this field of research is increasing almost exponentially. The ARIEL team will work actively at promoting gender-balance in science and engineering, inspiring young female students to choose STEM subjects at A-level and higher education and to widen participation at universities from underrepresented communities.
Organisations
- UNIVERSITY COLLEGE LONDON (Lead Research Organisation)
- Alan Turing Institute (Collaboration)
- Rutherford Appleton Laboratory (Collaboration)
- Tartu Observatory (Collaboration)
- Austrian Academy of Sciences (Collaboration)
- Uppsala University (Collaboration)
- Science and Technologies Facilities Council (STFC) (Collaboration)
- ECHO (Collaboration)
- Ludwig Maximilian University of Munich (LMU Munich) (Collaboration)
- National Astronomical Observatory of Japan (Collaboration)
- CEA Saclay (Collaboration)
- McGill University (Collaboration)
Publications
Al-Refaie A
(2024)
TauREx 3.1 - Extending atmospheric retrieval with plugins.
Al-Refaie A
(2024)
FRECKLL: Full and Reduced Exoplanet Chemical Kinetics DistiLLed
in The Astrophysical Journal
Al-Refaie A
(2022)
A Comparison of Chemical Models of Exoplanet Atmospheres Enabled by TauREx 3.1
in The Astrophysical Journal
Al-Refaie A
(2022)
FRECKLL: Full and Reduced Exoplanet Chemical Kinetics distiLLed
Al-Refaie A
(2021)
TauREx 3: A Fast, Dynamic, and Extendable Framework for Retrievals
in The Astrophysical Journal
Al-Refaie A. F.
(2022)
TauREx3: Tau Retrieval for Exoplanets
in Astrophysics Source Code Library
Al-Refaie Ahmed F.
(2019)
TauREx III: A fast, dynamic and extendable framework for retrievals
in arXiv e-prints
Anastasia Kokori
(2023)
ExoClock Project. III. 450 New Exoplanet Ephemerides from Ground and Space Observations
Anastasia Kokori
(2023)
ExoClock Project. III. 450 New Exoplanet Ephemerides from Ground and Space Observations
| Title | AI-generated images of exoplanets |
| Description | As part of the Ariel engagement and communication campaign, a number of AI-generated images of exoplanetary worlds and posters were created. |
| Type Of Art | Artefact (including digital) |
| Year Produced | 2023 |
| Impact | Many of these images were used for presentations and to attract public attention to events Ariel or exoplanetary-related. |
| Title | Ariel YouTube channel |
| Description | Videos and communications Ariel related. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| Impact | Communicating what Ariel is, and advertising Ariel-related activities to a broader, international public. |
| URL | https://www.youtube.com/@ArielTelescope |
| Title | Ariel animations |
| Description | Brief professional movies about Ariel space mission |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2020 |
| Impact | Many scientists and the public liked the movie |
| URL | https://www.youtube.com/watch?v=38YfVgAVUVs&list=PL7nlYuIpjicaxp36LxZwkXOH72Otf-rgY |
| Title | Original images of exoplanets were produced by Léa Changeat as part of Ariel Outreach activities |
| Description | Painted images of exoplanets and stars |
| Type Of Art | Artwork |
| Year Produced | 2020 |
| Impact | One of the images was used as front cover of Ariel ESA assessment report |
| Description | We have started to develop an infrastructure of open-source tools to analyse and interpret large data-sets of exoplanets. This infrastructure is pivotal to the success of Ariel and other astrophysical facilities able to record exoplanetary data. |
| Exploitation Route | All our tools are open source and available to all the community. All our results have been published in open-access, peer-reviewed journals and presented at many national and international conferences. |
| Sectors | Digital/Communication/Information Technologies (including Software) Education Culture Heritage Museums and Collections |
| Description | As part of the program, we have developed citizen science activities and new software tools which have applications well beyond exoplanets. We have developed new original public engagement platforms and activities. These have been very impactful and successful (e.g. Ariel Data Challenge, ORBYTS, Ariel Hackathon, Exoclock). We have created new, very successful start-ups in the sector of AI and space. |
| Sector | Digital/Communication/Information Technologies (including Software),Education,Culture, Heritage, Museums and Collections |
| Impact Types | Cultural Societal Economic |
| Description | "Brave New Worlds II" International school |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The summer school was sponsored by the Alessandro Volta Foundation, through the "Lake Como School for Advanced studies". About 50 Master and PhD international students were trained for one week by a number of highly influential international scientists working in the filed of exoplanetary science. |
| Description | Chair of Hubble and Spitzer space telescope panels |
| Geographic Reach | North America |
| Policy Influence Type | Participation in a guidance/advisory committee |
| 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 | ESA support for Ariel science activities |
| Amount | £120,000 (GBP) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 03/2025 |
| End | 02/2026 |
| Description | European Research Council Consolidator grant |
| Amount | £2,000,000 (GBP) |
| Organisation | European Research Council (ERC) |
| Sector | Public |
| Country | Belgium |
| Start | 04/2014 |
| End | 04/2019 |
| Description | H2020 Compet 2017 |
| Amount | £180,000 (GBP) |
| Funding ID | 776403 |
| Organisation | European Commission H2020 |
| Sector | Public |
| Country | Belgium |
| Start | 03/2018 |
| End | 06/2021 |
| Description | Knowledge Exchange grant - UCL-CSED Ariel Hackathon |
| Amount | £30,000 (GBP) |
| Organisation | University College London |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 01/2024 |
| End | 12/2024 |
| Description | Machine Learning Quality Assurance in Ariel and beyond |
| Amount | € 100,000 (EUR) |
| Organisation | ESA - ESTEC |
| Sector | Public |
| Country | Netherlands |
| Start | 06/2024 |
| End | 06/2025 |
| Description | Royal Society URF renewal |
| Amount | £311,507 (GBP) |
| Organisation | The Royal Society |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2013 |
| End | 09/2016 |
| Description | Twinning (HORIZON-WIDERA-2021-ACCESS-03) |
| Amount | £1,500,000 (GBP) |
| Funding ID | GAP-101079231 |
| Organisation | European Commission |
| Sector | Public |
| Country | Belgium |
| Start | 01/2023 |
| End | 12/2025 |
| Title | ARIELSIM instrument simulator |
| Description | Instrument simulator to quantify the performances of a dedicated space instrument for exoplanet spectroscopy. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | Ability to study mission concepts similar to ARIEL and evaluate their performances. |
| Title | Alfnoor |
| Description | Alfnoor is a dedicated tool optimised for population studies of exoplanet atmospheres. Alfnoor combines the latest version of the retrieval algorithm TauREx 3, with the instrument noise simulator ArielRad and enables the simultaneous retrieval analysis of a large sample of exo-atmospheres |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | First population analysis of exoplanetary atmospheres enabled. |
| URL | https://arxiv.org/pdf/2003.01839.pdf |
| 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 Challenges |
| Description | The Ariel Machine Learning Data Challenge 2019, 2021, 2022, 2023 and 2024, were set to harness the expertise of the artificial intelligence community to help disentangle this unwanted noise from the light filtering through exoplanet atmospheres. 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. Hundreds of participants from around the world competed in each of these events. 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. These solutions are being used to inform the Ariel ground-segment activities and create Ariel highly-processed data. |
| URL | https://www.ariel-datachallenge.space |
| Title | New Ariel instrument simulator: ARIELRad |
| Description | The new simulator for ARIEL will substitute previous static radiometric models implemented in Phase B. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Better simulations of systematics, improved ARIEL design, noise-floor added. |
| Title | New spectral retrieval techniques |
| Description | Implemented the use of Deep Convolutional Generative Adversarial Networks to speed up traditional spectral retrieval models. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Dramatic increase in speed of retrieval of atmospheric parameters from observed spectra. |
| URL | https://github.com/ucl-exoplanets/ExoGAN_public |
| Title | New, non parametric statistical methods to detrend and interpret exoplanet spectra |
| Description | Blind source separation algorithms and machine learning applied to exoplanet spectroscopy data, instrument simulators. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Improvements of the tools used in the exoplanet spectroscopy field. All codes are open-source on GitHub. A number of papers were published to describe these algorithms, in particular: Tsiaras, A., I. P. Waldmann, T. Zingales, M. Rocchetto, G. Morello, M. Damiano, K. Karpouzas, G. Tinetti, L. K. McKemmish, J. Tennyson, S. N. Yurchenko; A Population Study of Gaseous Exoplanets, The Astrophysical Journal, 155, 156, 2018. Varley, R; Tsiaras, A; Karpouzas, K; (2017) Wayne-A Simulator for HST WFC3 IR Grism Spectroscopy. The Astrophysical Journal Supplement Series , 231 (1). |
| URL | https://github.com/ucl-exoplanets/ |
| Title | Research infrastructure to interpret exoplanet spectra |
| Description | Inverse model to interpret exoplanet spectra, using Bayesian statistics. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | The TauREx model (Waldmann et al., 2015) is currently use internationally. The codes are open-source available on GitHub. |
| URL | https://github.com/ucl-exoplanets/TauREx_public |
| Title | TauREx3 spectral retrieval: new version 3.2 |
| 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: 25,000 worldwide (https://www.pepy.tech/projects/taurex). Publications: 250+ obtained using Tau-REx see: https://ui.adsabs.harvard.edu/public-libraries/VEUCReQaSFykrJJeXV_1Lg Key ones include: https://iopscience.iop.org/article/10.3847/1538-4357/ad3dee/pdf https://iopscience.iop.org/article/10.3847/1538-4357/ac0252 https://iopscience.iop.org/article/10.3847/1538-4357/ac6dcd https://doi.org/10.48550/arXiv.2209.11203 https://iopscience.iop.org/article/10.3847/1538-4357/ab9b82 |
| URL | https://github.com/ucl-exoplanets/TauREx3_public |
| Title | Ariel Data Challenges |
| Description | Ariel Data Challenge Series launched in 2019 to build global community for exoplanet data solutions. Ariel, has launched a global competition series to find innovative solutions for the interpretation and analysis of exoplanet data. The Ariel Data Challenge series was announced in April at the UK Exoplanet Community Meeting (EXOM) 2019 in London. The first ARIEL Data Challenge invited professional and amateur data scientists around the world to use Machine Learning (ML) to remove noise from exoplanet observations caused by star-spots and by instrumentation. A second Ariel Data Challenge that focuses on the retrieval of spectra from simulations of cloudy and cloud-free super-Earth and hot-Jupiter data was also launched in April. A further data analysis challenge to create pipelines for faster, more effective processing of the raw data gathered by the mission has been launched in June at the EWASS conference in Lyon. An Ariel Machine Learning Data Challenge was launched on April 1st 2021: Machine vs Stellar and Instrument Noise The results were discussed at the Machine Learning and Principles and Practice of Knowledge Discovery in Databases ECML PKDD 2021. A new Ariel Machine Learning Data Challenge is preparation, and will be launched in summer 2022. |
| Type Of Material | Data analysis technique |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | The Ariel ML contest has been selected as a Discovery Challenge by the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD). Over 100 international teams participated to the challenge. The winners were awarded at ECMLPKDD and EPSC-DPS 2019. Outcomes from all three Ariel Data Challenges have been discussed at the ECMLPKDD in Würzburg 16-20 September 2019 and at the EPSC-DPS Joint Meeting 2019, which took place in Geneva during the same week. In the Ariel Data Challenge 2021 over 110 teams from around the world participated with 35 teams submitting viable solutions. The teams represented a mix of academia and AI companies. The competition winners, ML Analytics, an artificial intelligence company in Portugal, and a team from TU Dortmund University in Germany were able to achieve highly accurate solutions for even the most difficult data-sets. |
| URL | https://arielmission.space/index.php/data-challenges/ |
| Title | Ariel Data GitHub platform |
| Description | The goal of this platform is to provide a go-to place both for the data users and data providers, for the users to tell about their data needs and make requests and for the data providers to link to the available data. As an open access tool, github and provides huge advantages of forming direct dialogues between the sides of the community, whether the modelers can make their shopping-lists for the data producers to start planning their calculations or experiment, even for those who are currently not directly involved in the Ariel consortium or in the exoplanetary science in general. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | Available chemical and spectroscopic data to open community of users. |
| URL | https://github.com/Ariel-data |
| Title | Ariel Mission Candidate Sample |
| Description | Repository for the Ariel Mission Candidate Sample (MCS). Lists of potential targets for the Ariel mission, derived from the currently known exoplanets and the TESS Planet Candidates (TPCs), are provided in the target_list folder. The MCS will be updated on a regular basis and, in general, it is advisable to use the most recent version of the MCS in each case. In the notebooks folder, one can find a jupyter notebook which contains a few plotting scripts which may be of use as well as a simple function which can be used to automatically load the most recent version of the MCS. The codes used to model the capabilities of Ariel's instrumentation, as well as assumptions on the instrument performance, are also evolving. Therefore, the code and payload versions utilised for each target list are provided in the code_versions.txt file. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | Public access of the Ariel candidate list |
| URL | https://github.com/arielmission-space/Mission_Candidate_Sample |
| Title | ExoClock |
| Description | Ariel will observe known exoplanets to obtain their spectra and characterise their chemical consistency. For this technique to be as efficient as possible and to organise large-scale surveys we need to have a good knowledge of each exoplanet's expected transit time and also monitor the stellar variability of the host stars. The Ariel Ephemerides Working Group is responsible for keeping this informations up-to-date and this is where small and medium-scale telescopes can contribute significantly and make a difference, through the ExoClock project. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Everyone that has some basic equipment including a telescope and a CCD camera can participate in the effort of monitoring the planets' host stars. Users are asked to create a free ExoClock account, where they will be able to set up an observatory profile (or more than one!), with their equipment and geographical coordinates. In this way, they will get personalised information on the transits that fit best to your equipment and your location. They will be receiving also relevant updates, and notifications for special observations. Finally, they will have the chance to interact with the ExoClock team for any questions they might have and get feedback on their observations. Over 500 participants around the world are currently contributing to ExoClock, the results have been published in high-impact journals. |
| URL | https://www.exoclock.space |
| Title | ExoClock project. II. New exoplanet ephemerides |
| Description | VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'ExoClock project. II. A large-scale integrated study with 180 updated exoplanet ephemerides.' (bibcode: 2022ApJS..258...40K) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Improved ephemerides data for a large number of transiting exoplanets |
| URL | https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJS/258/40 |
| Title | ExoClock project. III. 450 exoplanet ephemerides |
| Description | VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'ExoClock project. III. 450 new exoplanet ephemerides from ground and space observations.' (bibcode: 2023ApJS..265....4K) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Improved ephemerides for a large number of exoplanets |
| URL | https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJS/265/4 |
| Title | ExoGAN |
| Description | ExoGAN (Exoplanets Generative Adversarial Network) The first DCGAN able to analyse exoplanetary atmospheres. ExoGAN is open source. Inputs: The input file can be either a python dictionary or a .dat file Training phase: The training set is available at this link: https://osf.io/6dxps/ The parameter bounds used to generate the training set are shown in Table 1 of Zingales & Waldmann, 2018 (https://arxiv.org/abs/1806.02906) |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | The first DCGAN able to analyse exoplanetary atmospheres. |
| URL | https://github.com/ucl-exoplanets/ExoGAN_public |
| Title | ExoTETHyS |
| Description | ExoTETHyS is an open-source package for modeling exoplanetary transits, eclipsing binaries and related phenomena. If you use this code for your research, please consider citing Morello et al. 2019, ... (arXiv:1908.09599) |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Extensively used by transit exoplanet community |
| URL | https://github.com/ucl-exoplanets/ExoTETHyS |
| Title | Iraclis |
| Description | Open-source, analysis pipeline for HST/WFC3 spectroscopic observations of exoplanet transits and eclipses A complete package to analyse single-object spatially scanned spectroscopic observations of extrasolar planets obtained with the near-infrared grisms (G102, G141) of the Wide Field Camera 3 on-board the Hubble Space Telescope. Includes: Reduction of the raw frames. Calibration of the position of the total spectrum and the different spectral elements. Extraction of the total flux and the flux per spectral element. Fitting of the white and the spectral light-curves. Currently, fitting can be applied only on single-visit light-curves but in the next version it will be updated to fit also multiple visits of the same target simultaneously. |
| Type Of Material | Data analysis technique |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | First (and only) open-source pipeline for HST/WFC3 spectroscopic observations of exoplanet transits and eclipses |
| URL | https://github.com/ucl-exoplanets/Iraclis |
| Title | PyLightcurve |
| Description | An open-source python package for modelling and analysing transit light-curves. Easy search for parameters of current exoplanets. Calculation of limb darkening coefficients. Calculation of exoplanetary orbits. Calculation of transit models. Flexible fitting of transit light-curves. This module makes use of: exodata, Varley (2016) emcee, Foreman-Mackey et al. (2013) |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | Used extensively by transit exoplanet community |
| URL | https://github.com/ucl-exoplanets/pylightcurve |
| Title | Tau-Rex 3 |
| 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! - More information available here: https://arxiv.org/abs/1912.07759 |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Currently used by scientists worldwide: UK, Europe, US, Japan, India and China. |
| URL | https://github.com/ucl-exoplanets/TauREx3_public |
| Title | TauRex and Robert |
| Description | Tau-Rex is a next gen retrieval code for exoplanetary atmospheres. It strongly builds on UCL's expertise in ab-initio molecular line-list calculations as well as machine learning and pattern recoginition algorithms. Unlike other codes of its kind, Tau-Rex requires no prior knowledge or constraint on the type, number of molecules, abundances or tempearutres in an exoplanetary atmosphere. It uses custom built pattern recognition software to estimate the molecular signatures present before providing these estimates to a full Bayesian analysis using paralllelised Nested Sampling and MCMC algorithms. These allow for the full retrieval of the Bayesian partion function and enable us to perform Bayesian model selection on the retrieval result. We are planning to provide a web-interface in the software section of this homepage in due time. Machine-learning techniques that mimic human recognition and dreaming processes are being deployed in the search for habitable worlds beyond our solar system. A deep belief neural network, called RobERt (Robotic Exoplanet Recognition), has been developed by our team to sift through detections of light emanating from distant planetary systems and retrieve spectral information about the gases present in the exoplanet atmospheres. https://www.ucl.ac.uk/mathematical-physical-sciences/maps-news-publication/detective-exoplanet-atmospheres |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Impact | Improvements of methods used in the exoplanet spectroscopy field, more objectivity and precision obtained. |
| URL | http://zuserver2.star.ucl.ac.uk/~ingo/projects.html |
| Title | Wayne |
| Description | Wayne is a telescope simulator used to generate realistic data with all noise sources, reductions and systematics. Currently it is applied to the HST WFC IR instrument which uses two grisms, G102 and G141 for spectroscopy. The project has a particular focus on transmission spectroscopy of exoplanets. For WFC3 IR, Wayne currently simulates: Staring Mode Spatial Scan Mode Scan Speed Variations Ramp or hook trend X and Y positional shifts Cosmic Rays Flat Field, Bias, Gain etc Read noise, stellar noise, sky background etc Wayne is designed to be adapted to more instruments and systematics. |
| Type Of Material | Data analysis technique |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | Used in many papers to simulate WGC3 camera performances and systematics. |
| URL | https://github.com/ucl-exoplanets/wayne |
| 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 NAOJ, Japan |
| Organisation | National Astronomical Observatory of Japan |
| Country | Japan |
| Sector | Academic/University |
| PI Contribution | Expertise in exoplanet space observations and interpretation, AI techniques. |
| Collaborator Contribution | Expertise in exoplanet ground-based observations and theoretical models (planet formation, interior, atmosphere). |
| Impact | Multidisciplinary collaboration, involving Ariel, Exoclock, exoplanetary modelling and observations. We have hosted and trained PhD students and research fellows, submitted large grant proposals together. |
| 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 | EChO consortium |
| Organisation | ECHO |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Prof. Giovanna Tinetti (UCL) was the PI of the EChO mission candidate during the assessment study phase. Members of the UK-led instrument study consortium were France, Italy, Spain, MPS-Germany, Ireland, Denmark, Poland, Belgium, Austria, NL, US. The UK has demonstrated world-leading expertise in the modelling of planetary and exoplanetary atmospheres and is well-placed to lead the spectroscopic characterisation of exoplanets. By taking the PI role we could direct the specification and design of the mission to ensure that UK scientific interests remain at the forefront of the mission goals. Concerning the payload, the UK were in charge of the management, AIV, coolers, IR detectors characterisation, and goal channel 11-16 micron. |
| Collaborator Contribution | France: 5-11 micron channel, detectors characterisation, scheduling, spectroscopy Italy: 0.5-2.5 micron channel, stellar activity, targets Spain: 0.25-5 micron channel, stellar activity and targets Germany & NL: read out electronics Poland, Belgium, Austria: FGS |
| Impact | Multidisciplinary: exoplanets, spectroscopy, atmospheric science, planet formation, space instruments, stellar physics |
| Start Year | 2010 |
| Description | ExoHost |
| Organisation | Austrian Academy of Sciences |
| Country | Austria |
| Sector | Academic/University |
| PI Contribution | This collaboration is funded by the European Commission through the program Twinning (HORIZON-WIDERA-2021-ACCESS-03). |
| Collaborator Contribution | The collaboration will allow to improve our knowledge of stellar hosts for exoplanets through models and observations. The collaboration includes the University of Tartu, Estonia; the Austrian Academies of Science; the University of Uppsala, Sweden. |
| Impact | The collaboration has just started |
| Start Year | 2023 |
| Description | ExoHost |
| Organisation | Tartu Observatory |
| Country | Estonia |
| Sector | Public |
| PI Contribution | This collaboration is funded by the European Commission through the program Twinning (HORIZON-WIDERA-2021-ACCESS-03). |
| Collaborator Contribution | The collaboration will allow to improve our knowledge of stellar hosts for exoplanets through models and observations. The collaboration includes the University of Tartu, Estonia; the Austrian Academies of Science; the University of Uppsala, Sweden. |
| Impact | The collaboration has just started |
| Start Year | 2023 |
| Description | ExoHost |
| Organisation | Uppsala University |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | This collaboration is funded by the European Commission through the program Twinning (HORIZON-WIDERA-2021-ACCESS-03). |
| Collaborator Contribution | The collaboration will allow to improve our knowledge of stellar hosts for exoplanets through models and observations. The collaboration includes the University of Tartu, Estonia; the Austrian Academies of Science; the University of Uppsala, Sweden. |
| Impact | The collaboration has just started |
| Start Year | 2023 |
| Description | H2020 program ExoplanetsA |
| Organisation | CEA Saclay |
| Country | France |
| Sector | Public |
| PI Contribution | I am co-I of the H2020 program ExoplanetsA. UCL is one of the nodes. I coordinate the science return work package. My team participate to a number of tasks and work packages. |
| Collaborator Contribution | CEA Saclay is PI of the collaboration. SRON, UN. of Vienna, Un. of Leicester, INTA and Max Planck MPIA are co-Is. |
| Impact | In the ExoplANETS_A project, we will develop novel data calibration and spectral extraction tools, as well as novel retrieval tools, based on 3D models of exoplanet atmospheres, to exploit archival data from ESA Space Science archives (HST) combined with NASA Space Archives (Spitzer, Kepler) and produce a homogeneous and reliable characterization of exoplanet atmospheres Additionally, to model successfully the atmosphere of an exoplanet, it is necessary to have a sound knowledge of the host star. To this end, we will collect a coherent and uniform database of the relevant properties of host stars from ESA Space Science archives (XMM, Gaia), combined with international space mission and ground-based data. These exoplanet and host star catalogues will be accompanied/interpreted with models to assess the importance of star - planet interactions. The knowledge gained from this project will be disseminated through peer- review publications and modelling tools will be publicly released. In addition to the delivery of high level data products, state of the art tools, models and scientific publications, the project will ready us to rapidly exploit data from the James Webb Space Telescope, which is a highly competitive. It is also an excellent preparation to the exploitation of the ARIEL mission, an ESA mission dedicated to a statistical survey of exoplanet atmosphere, with about 1000 exoplanets to be observed. |
| Start Year | 2018 |
| 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 |
| Description | Partnership with LMU |
| Organisation | Ludwig Maximilian University of Munich (LMU Munich) |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Participation to the Ariel consortium scientific activities |
| Collaborator Contribution | LMU has contributed to the costs of CILAS manufacturing of Ariel dichroics in exchange of scientific participation to the Ariel consortium. LMU is also providing light-curve modelling and spectral retrieval expertise to the Ariel collaboration. |
| Impact | Purchase of CILAS dichroics coating |
| Start Year | 2023 |
| Title | New diagnostic tool |
| Description | The diagnostic tool was designed by Dr. Ahmed Al-Refaie. He is working with UCL at obtaining a patent. |
| Type | Diagnostic Tool - Non-Imaging |
| Current Stage Of Development | Initial development |
| Year Development Stage Completed | 2025 |
| Development Status | Actively seeking support |
| Impact | See achievements listed above |
| 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 | Alfnoor |
| Description | First retrieval algorithm of a large population of planets |
| Type Of Technology | Software |
| Year Produced | 2020 |
| Impact | It was used to produce Ariel simulations on a large sample of planets |
| URL | https://iopscience.iop.org/article/10.3847/1538-3881/ab9a53 |
| Title | Ariel payload |
| Description | The Ariel payload consists of a Cassigrain telescope with a 0.7 x 1.1 m elliptical primary mirror feeding both a moderate resolution spectrometer covering the wavelengths from 1.1 to 7.8 microns, and a multi-channel photometer and low resolution spectrometer (which also acts as a Fine Guidance Sensor) with bands between 0.5 and 1.1 microns. The various payload elements are functionally tightly integrated in order to allow the exacting photometric stability requirements of the mission to be met. The key performance improvement that Ariel will allow over other existing facilities and data-sets is to provide extremely high photometric stability data simultaneously across a very broad wavelength range for a large number of exoplanet targets. The UK has consortium science and technical leadership & management; payload systems engineering coordination; PLM AIV and calibration; active cooler system; optics bench (if separate from telescope OB); on-board calibration source; detector system calibration coordination; Science Ground segment participation. |
| Type Of Technology | New/Improved Technique/Technology |
| Year Produced | 2019 |
| Impact | A number of new cutting edge technology / systems will be used by Ariel: - Newly space qualified J-T cooler powered by Hymatic tactical cooler compressors. - The use of the National Space Integration Facility in R100 at RAL as the integrated payload test and calibration facility. - UK leadership in exoplanet spectroscopy (9 European Research Council projects awarded in the UK, national and international recognitions, awards and medals) - UK leadership in planetary atmospheres modelling - Integration of technical and programmatic leadership as PI nation - Infrastructure available to handle analysis of data intensive science - AIV capabilities for cryogenic testing and calibration of high precision payloads - Infra Red detector testing and characterization |
| URL | https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11180/2536033/an-integrated-payloa... |
| Title | ArielRAD |
| Description | It has been developed to simulate Ariel performances |
| Type Of Technology | Software |
| Year Produced | 2020 |
| Impact | Ariel performances were assessed using this tool. |
| URL | https://link.springer.com/article/10.1007%2Fs10686-020-09676-7 |
| Title | Data analysis tools for exoplanet spectroscopy |
| Description | Reduce exoplanet spectroscopy data |
| Type Of Technology | Software |
| Year Produced | 2018 |
| Open Source License? | Yes |
| Impact | Biggest catalog of exoplanets analysed so far, including highly cited Tsiaras et al., 2018, AJ; and Tsiaras et al. 2019; Nature Astronomy, DOI: 10.1038/s41550-019-0924-7, which had the highest Altimetric score of any physical sciences paper in 2019 |
| URL | https://github.com/ucl-exoplanets/ |
| Title | ExoGAN |
| Description | New spectral retrieval technique |
| Type Of Technology | Software |
| Year Produced | 2018 |
| Open Source License? | Yes |
| Impact | New spectral retrieval technique |
| URL | https://github.com/ucl-exoplanets/ExoGAN_public |
| 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 | Iraclis 2.0 |
| Description | Analysis pipeline for HST/WFC3 spectroscopic observations of exoplanet transits and eclipses A complete package to analyse single-object spatially scanned spectroscopic observations of extrasolar planets obtained with the near-infrared grisms (G102, G141) of the Wide Field Camera 3 on-board the Hubble Space Telescope. Includes: Reduction of the raw frames. Calibration of the position of the total spectrum and the different spectral elements. Extraction of the total flux and the flux per spectral element. Fitting of the white and the spectral light-curves. Currently, fitting can be applied only on single-visit light-curves but in the next version it will be updated to fit also multiple visits of the same target simultaneously. |
| Type Of Technology | Software |
| Year Produced | 2018 |
| Open Source License? | Yes |
| Impact | Used by many scientists worldwide to analyse HST data. |
| Title | Tau Rex 3 |
| 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 Technology | Software |
| Year Produced | 2019 |
| Open Source License? | Yes |
| Impact | Used by an increasing number of scientists worldwide. |
| URL | https://taurex3-public.readthedocs.io/en/latest/ |
| 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 | TauREx algorithm |
| Description | Spectral Retrieval algorithm for exoplanets, i.e. inverse model to interpret exoplanet spectra |
| Type Of Technology | Software |
| Year Produced | 2016 |
| Open Source License? | Yes |
| Impact | Received the attention of the international scientific community |
| URL | https://github.com/ucl-exoplanets/TauREx_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. |
| Company Name | Blue Skies Space |
| Description | Blue Skies Space builds satellites designed to collect data on planets, orbiting asteroids and stars, and operates the Twinkle space science mission. |
| Year Established | 2014 |
| Impact | A new branch of the company was opened in 2023 (Blue Skies Space Italia SRL). We are currently building two low-orbit satellites: "Twinkle" and "Mauve". We are studying new concepts for astrophysical missions (funded). The company is growing: we have closed in early March a very successful funding round with investments from private investors, we are planning a press release in April. |
| Website | http://www.blueskiesspace.co.uk |
| Description | Academic seminars and conference talks (G. Tinetti) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | Yes |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | http://giotin.org/pages/conferences.html http://www.ucl.ac.uk/~ucapgti/seminar/ |
| Year(s) Of Engagement Activity | 2019,2020,2021,2022,2023,2024 |
| URL | http://giotin.org/pages/conferences.html |
| Description | Altmetric Attention Score for Water vapour in the atmosphere of the habitable-zone eight-Earth-mass planet K2-18 b |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Had the highest Altimetric score of any physical sciences paper in 2019 |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.altmetric.com/details/66442583/citations |
| Description | Ariel Data Challenges |
| 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 | Ariel, has launched a global competition series to find innovative solutions for the interpretation and analysis of exoplanet data. The Ariel Data Challenge invite every year professional and amateur data scientists around the world to help solving a problem of Ariel interest. The engagement and success of the programme was beyond expectations. In the 2024 and 2025 editions, the first prize was/will be sponsored by Kaggle: $50,000 (see info below for the 2024). NeurIPS - Ariel Data Challenge 2024 - https://www.kaggle.com/competitions/ariel-data-challenge-2024 Competition Host: University College London Prizes & Awards: $50,000 Participation: 6,909 Entrants 1,414 Participants 1,151 Teams 23,024 Submissions |
| Year(s) Of Engagement Activity | 2019,2020,2021,2022,2023,2024,2025 |
| URL | https://www.ariel-datachallenge.space |
| Description | Ariel Hackathon |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Undergraduate students |
| Results and Impact | The UCL Centre for Space Exochemistry Data, in collaboration with the UCL-Centre for Doctoral Training-Data Intensive Science Institute, have launched an Ariel Hackathon Event on April 19, 2024. This event was free and open to undergraduate, postgraduate, and professionals with a background and interest in learning about exoplanets and machine learning. Following the successful event, another one was hosted at ESA ESAC in Feb. 2025 in partnership with ESADataLabs: https://www.ariel-datachallenge.space/esa-datalabs25/ |
| Year(s) Of Engagement Activity | 2024,2025 |
| URL | https://www.ariel-datachallenge.space/esa-datalabs25/ |
| Description | BBC Radio 4 - Today programme |
| Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | The participation to BBC Radio 4 - Today programme as invited guest increased the visibility of the ARIEL space mission and the UK leadership in ARIEL. |
| Year(s) Of Engagement Activity | 2018 |
| Description | BBC Radio Wales |
| Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Public/other audiences |
| Results and Impact | The participation to BBC Radio Wales as invited guest, increased the visibility of the ARIEL space mission and the welsh participation in ARIEL. |
| Year(s) Of Engagement Activity | 2018 |
| Description | BBC World Service's World Update programme |
| Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | The participation to the BBC World Service's World Update programme as invited guest, increased the visibility of the ARIEL space mission and the UK leadership in ARIEL. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Cattedra Fermi lecture series |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | Series of public outreach talks on exoplanets |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.phys.uniroma1.it/fisica/node/9852 |
| Description | Evening talk at the Royal Institution |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Public/other audiences |
| Results and Impact | Talk at the Royal Institution in London |
| Year(s) Of Engagement Activity | 2016 |
| URL | http://www.rigb.org/whats-on/events-2017/january/public-brave-new-worlds |
| Description | ExoWorlds Spies |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Guidelines for amateur astronomers/general public about how to observe transiting planets. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.exoworldsspies.com/en/ |
| Description | Exoclock |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Study participants or study members |
| Results and Impact | Ariel will observe thousands of transits, and to increase the mission efficiency, it is required to have precise ephemerides. Proper planning is important to avoid wasting the precious observing time of Ariel and other future space missions. ExoClock, a citizen science program to monitor transiting exoplanets in order to keep their ephemerides up-to-date. Everyone with some basic equipment, including a telescope and a CCD camera, can participate in the effort of monitoring the planets' host stars. Currently, the ExoClock network consists of 540 participants - 80% of whom are amateur astronomers - and 450 telescopes with sizes ranging between 6 and 40 inches - of which 80% are smaller than 17 inches. The ExoClock network is organised in a way to maximise the coverage of the planets and to ensure the high quality and homogeneity of the results. |
| Year(s) Of Engagement Activity | 2019,2020,2021,2022,2023,2024 |
| URL | https://www.exoclock.space/project |
| Description | Invited Plenary talk, Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | I was invited to give a plenary talk about exoplanet missions at the Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency |
| Year(s) Of Engagement Activity | 2019 |
| Description | Invited Public talk in Dublin |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Public talk about exoplanets in Dublin, the event received a lot of interest from the local media and public. |
| Year(s) Of Engagement Activity | 2017 |
| URL | https://www.dias.ie/2017/09/04/19th-october-school-of-cosmic-physics-statutory-public-lecture-2017/ |
| Description | Invited Talk at World Science Forum |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | World Science Forum in Budapest |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://worldscienceforum.org |
| Description | Invited plenary talk at Portuguese Science Summit Ciência |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Policymakers/politicians |
| Results and Impact | The Portuguese Science Summit Ciência was a UK-Portugual bilateral conference organised in Lisbon in July 2019. The Portuguese Prime Minister and Science Minister were present, the UK Science Minister joined remotely part of the conference. |
| Year(s) Of Engagement Activity | 2019 |
| URL | http://www.encontrociencia.pt/home/en.asp |
| Description | Invited plenary talk to the British Astronomical Association Summer Meeting |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Study participants or study members |
| Results and Impact | Invited plenary talk at the British Astronomical Association Summer Meeting |
| Year(s) Of Engagement Activity | 2018 |
| 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... |
| Description | Invited talk Flamsteed Society, Greenwich |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Study participants or study members |
| Results and Impact | Invited talk to amateur astronomers Flamsteed Society, Greenwich |
| Year(s) Of Engagement Activity | 2016 |
| Description | Invited talk Pietro Baracchi III conference |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The Pietro Baracchi III conference was organised by Australian and Italian astrophysics community |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://indico.ict.inaf.it/event/1582/page/618-invited-speakers |
| Description | Invited talk at Bristol Astronomical Society |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Public/other audiences |
| Results and Impact | The Bristol Astronomical Society (BAS) is based in the South West of the UK, BAS is run by amateur astronomers as a non-profit making educational charity. With over 120 members and weekly meetings, they are one of the most active Societies in the UK, supporting a variety of interests ranging from observing, imaging, sketching. |
| Year(s) Of Engagement Activity | 2019 |
| URL | http://www.bristolastrosoc.org.uk/www/index.php |
| Description | Invited talk at Marlborough College |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | The students showed a strong interest in the field of exoplanets and space missions |
| Year(s) Of Engagement Activity | 2018 |
| Description | Invited talk at Science Festival in Genova |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Increased the interest of general public to exoplanets |
| Year(s) Of Engagement Activity | 2017 |
| Description | ORBYTS |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Schools |
| Results and Impact | ORBYTS is an education programme in which secondary school pupils work on original research projects under the tuition of PhD students, Post-Docs and other young scientists. |
| Year(s) Of Engagement Activity | 2015 |
| URL | https://www.ucl.ac.uk/astrophysics/outreach/orbyts |
| Description | Public evening talk at the Division for Planetary Science, October 2016, Pasadena US |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Public evening talk during the week of the AAS-DPS meeting in Pasadena, US. Over 1000 participants form the general public |
| Year(s) Of Engagement Activity | 2016 |
| URL | http://www.cityofastronomy.org/events/2016/10/20/dps-public-night |
| Description | Public talk at RAS National Astronomy Meeting in Liverpool |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | Public talk at RAS National Astronomy Meeting in Liverpool, April 2018. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Public talks and outreach activities (G. Tinetti) |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | Yes |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | All the information is available on this website: http://giotin.org/pages/outreach.html - |
| Year(s) Of Engagement Activity | 2019,2020,2021,2022,2023,2024 |
| URL | http://giotin.org/pages/outreach.html |
| Description | Public talks and outreach activities (I. Waldmann) |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | Yes |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | All information is available here: http://www.ingowaldmann.com/static/waldmann_cv_jan2020.pdf All information is available here: http://zuserver2.star.ucl.ac.uk/~ingo/Talks.html |
| Year(s) Of Engagement Activity | 2012,2013,2014,2015,2016,2017,2018,2019,2020 |
| URL | http://www.ingowaldmann.com/static/waldmann_cv_jan2020.pdf |
| Description | Royal Astronomical Society public talks |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Public/other audiences |
| Results and Impact | 2 public talks delivered on the same day at the Royal Astronomical Society |
| Year(s) Of Engagement Activity | 2016 |
| URL | https://www.ras.org.uk/component/gem/?id=438 |
