Difference between revisions of "Workshop2026:main"
From Gaia Science Alerts Working Group
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The main topics: | The main topics: | ||
| − | * | + | * Eleven Years of Gaia Science Alerts: overview of the Gaia Alerts system, statistics, major discoveries and scientific highlights. |
| − | * | + | |
| − | * | + | * Lessons Learned from Alerts from Space: operational experience from Gaia, alert detection pipelines |
| − | * | + | |
| − | + | * Future Space Transient Missions: SVOM, UltraSAT, PhotSAT, Einstein Probe, Roman Space Telescope, PLATO, Ariel. | |
| − | * | + | |
| − | * | + | * Preparing for the LSST Era: alert stream, broker systems, alert filtering and coordination of follow-up observations. |
| − | * | + | |
| − | * | + | * Follow-up Infrastructure and Telescope Networks: robotic telescope networks, scheduling systems and coordinated follow-up of transient events across the globe. |
| − | * | + | |
| + | * BHTOM System: a platform for automated coordination of follow-up observations, data collection and management of time-domain observations | ||
| + | |||
| + | * Citizen Science and Amateur Astronomy: contributions of amateur astronomers and small telescopes, observing campaigns through the EASST community. | ||
| + | |||
| + | * Alert Brokers and Machine Learning: real-time alert processing, classification and filtering using machine learning techniques and broker systems. | ||
| + | |||
| + | * Multi-Messenger Astronomy: optical counterparts of gravitational wave events, neutrino alerts and gamma-ray bursts, and the role of Gaia alerts in identifying and monitoring these sources. | ||
| + | |||
| + | * Solar System Alerts: detection and follow-up of asteroids, comets and other moving objects, and the role of time-domain surveys in planetary defense and solar system science. | ||
| + | |||
| + | * Rare and Exotic Transients: unusual and poorly understood phenomena such as tidal disruption events, luminous red novae and other rare classes of transients. | ||
| + | |||
| + | * Legacy and Archival Science: long-term value of the Gaia Alerts dataset for variability studies, precursor activity of transients and training datasets for machine learning. | ||
Revision as of 13:44, 10 March 2026
Welcome!
The 17th Gaia Science Alerts workshop and the ACME Time-Domain Workshop will take place in in Frejus, France, and online 31 Aug - 4 Sep 2026
The main topics:
- Eleven Years of Gaia Science Alerts: overview of the Gaia Alerts system, statistics, major discoveries and scientific highlights.
- Lessons Learned from Alerts from Space: operational experience from Gaia, alert detection pipelines
- Future Space Transient Missions: SVOM, UltraSAT, PhotSAT, Einstein Probe, Roman Space Telescope, PLATO, Ariel.
- Preparing for the LSST Era: alert stream, broker systems, alert filtering and coordination of follow-up observations.
- Follow-up Infrastructure and Telescope Networks: robotic telescope networks, scheduling systems and coordinated follow-up of transient events across the globe.
- BHTOM System: a platform for automated coordination of follow-up observations, data collection and management of time-domain observations
- Citizen Science and Amateur Astronomy: contributions of amateur astronomers and small telescopes, observing campaigns through the EASST community.
- Alert Brokers and Machine Learning: real-time alert processing, classification and filtering using machine learning techniques and broker systems.
- Multi-Messenger Astronomy: optical counterparts of gravitational wave events, neutrino alerts and gamma-ray bursts, and the role of Gaia alerts in identifying and monitoring these sources.
- Solar System Alerts: detection and follow-up of asteroids, comets and other moving objects, and the role of time-domain surveys in planetary defense and solar system science.
- Rare and Exotic Transients: unusual and poorly understood phenomena such as tidal disruption events, luminous red novae and other rare classes of transients.
- Legacy and Archival Science: long-term value of the Gaia Alerts dataset for variability studies, precursor activity of transients and training datasets for machine learning.
- Registration - opens soon
Workshop Organising Committee
Workshop Organising Committee:
- Lukasz Wyrzykowski (Warsaw)
- Simon Hodgkin (Cambridge)
- Stephane Basa (LAM)
- Fraser Gillan (NCBJ, Warsaw)
- Priscila Pessi (NCBJ, Warsaw)
The workshop is supported by the EC Horizon Europe ACME grant no 101131928.
