ERIM 2023 – Europlanet VA Virtual Services Track

ERIM 2023 – Europlanet VA Virtual Services

Europlanet 2024 RI provides open access to online data services and tools tailored to planetary science.

ERIM 2023 is an opportunity to bring together the developers and user communities (established and new) of Europlanet VA virtual services and tools to provide training for new users, foster collaborations and cross-fertilisation of activities, and define a clear roadmap for sustainable access to the services to support the Europlanet Community in the next decades.

Europlanet VA Virtual Services activities at ERIM 2023 include (full details on the ERIM Programme):

  • Introduction to VESPA virtual observatory for planetary data (Monday 19 June, 11:00-3:30)
    • This workshop will give a short introduction to service implementation on the VESPA Portal, and some tutorials on use of VO tools and reference documents and resources available on the VESPA support site.
  • GMAP geological and planetary mapping community workshop (Thursday 21 June, 9:00-12:30)
    • Part 1 – Introduction to GMAP (Presentations)
      • Winter School 2021-2023 summary & participant feedback
      • GMAP Tools – Jupyter & base mapping
      • GMAP Tools – Data Portal
    • Part 2 – GMAP Community Mapping Workshop – Hands on Session
  • SPIDER planetary space weather workshop (Wednesday 20 June, 9:00-12:30)
    • A two part session on the SPIDER Planetary Space Weather Services will include a set of introductory presentations, followed by a hands-on tutorial.
    • SPIDER (Sun Planet Interactions Digital Environment on Request) is a unique infrastructure that gives contextual information including predictions and alerts for science data analysis and payload/spacecraft operations. SPIDER provides European planetary scientists, space agencies and industries access to state of the art services to model planetary environments and solar wind interactions through the deployment of a dedicated run-on-request infrastructure and associated databases. The runs are archived and shared to the scientific community online and through VESPA.
  • Machine Learning workshop (Thursday 21 June, 9:00-12:30)
    • This workshop will introduce machine learning tools developed through the Europlanet 2024 RI project to support activities including:
      • An ML pipeline for the localisation and characterisation of specific geomorphological features (mounds) that are present on the surface of Mars in collaboration with GMAP).
      • A Deep Learning object-detection algorithm to detect pit craters on the surface of Mars from images obtained by the HiRISE instrument onboard the Mars Reconnaissance Orbiter (in collaboration with GMAP).
      • The automatic identification and classification of interplanetary coronal mass ejections in in-situ solar wind data, with the aim of improving early detection and ultimately forecasting. 
      • The automatic identification of magnetopause/bow shock crossings on Mercury through MESSENGER data, with the aim of improving our understanding of Mercury’s magnetosphere and its dynamics.
      • The automatic identification of magnetospheric boundary crossings around Earth in Cluster and THEMIS data, to improve our understanding of planetary magnetospheres.
      • The automatic search for asteroids (main belt as well as near Earth asteroids) in STEREO images.
      • The classification of surface regions on Mercury based on MESSENGER data. 
    • Scientific Data Applications developed through the EXPLORE project will also be introduced.
      • L-Explo and L-Hex allow users to explore the Moon in a 2.5/3D environment visualize provided datasets and perform spectral profile extraction on selected hyperspectral data.
      • The G-Arch allows users to run the stellar modelling tool “Matisse” on Gaia RVS spectra and inspect the results (the parameter table and input/output spectra).
      • G-Tomo allows users to extract 1d profiles and 2d maps from the latest 3d dust extinction maps based on Gaia eDR3 and 2MASS data
      • S-Phot allows users to combine photometric and parallax data from Gaia and other relevant databases to reveal properties of stars in the Milky Way, such as their temperature, luminosity or evidence of circumstellar dust.
      • S-Disco applies Machine Learning and Deep Learning to discover anomalies, such as unusal stars or unexpected populations or patterns, within large datasets such as those of Gaia.

Co-organised VA Virtual Services sessions (led by other tracks, but relevant to VA Virtual Services attendees) include:

  • Interactive introduction
  • The role of the Regional Hubs
  • Europlanet Telescope Network Science Workshop
  • The ecological footprint of research in planetary sciences
  • The Europlanet General Assembly
  • Roadmapping for Europlanet
  • Europlanet 2024 RI Council Meeting (by invitation)

For more details, go to the ERIM programme and look out for sessions tagged in magenta.

Find out about the other ERIM 2023 programme tracks: