Space Telescope Science Institute (STScI)
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Baltimore, MD 21218
The observational phase of the HST Ultraviolet Legacy Library of Young Stars as Essential Standards (ULLYSES) program initiated by the STScl Director in 2019 was completed in 2023. ULLYSES provides a legacy spectroscopic UV dataset for studying star formation both locally and across the universe. The program consists of two distinct components: ultraviolet-optical-infrared spectroscopy of T Tauri stars in star-forming regions of the Milky Way, and ultraviolet spectroscopy of metal-poor OB stars in the Magellanic Clouds and other nearby low metallicity dwarf galaxies. The dataset will establish a foundation for studying the final stages of low-mass star formation, and obtaining fundamental stellar parameters as a function of metallicity for high-mass stars. Although ground-based data contain much information necessary to advance understanding of these phenomena, ultraviolet spectroscopy provides powerful diagnostic information that cannot be obtained in any other way. This ambitious, multi-faceted project used 987 HST orbits in Cycles 27-29, making it the single largest program ever executed by HST.
The ULLYSES observations are complemented by community-led, ancillary ground-based surveys that will considerably enhance the legacy value of the program. With the completion of the ULLYSES observations and ancillary programs, a variety of data products are now available, both from STScl and from the community. Initial results based on ULLYSES data are beginning to appear in the refereed literature. The time is ripe to review plans for scientific exploitation of the data, and launch new plans for research in additional areas that utilize these foundational data, e.g., interstellar medium, star and galaxy formation at high redshift, and star-planet interactions.
Consequently, this workshop is conceived as a celebration of the "end of the beginning" of ULLYSES and a forum for the community to decide next steps. Its goals are to provide:
- A review of (and an advertisement for) the data collected under the auspices of ULLYSES;
- A status update on current on-going work;
- A forum for planning a roadmap to fulfill the promised goals of ULLYSES, and for planning community involvement in the analyses, through existing collaborations or otherwise;
- A forum to discuss what other data should be collected in the near term to further enhance the legacy value of the ULLYSES dataset
Registration information will be communicated at a later time.
|November 30||Abstract Submission Opens|
|January 5||Abstract Submission Closes|
|December 20||Registration Opens|
|February 12||Registration Deadline|
Additional Event Information
The abstract submission deadline is Friday, January 5, 2024. All abstracts will be reviewed by the Science Organizing Committee.
Please submit your abstract online for the ULLYSES Workshop.
You are required to have a MyST account to login to the HST Portal. If you don’t already have a MyST Account, please click on the "Request a MyST Account" to create one.
Click on ULLYSES Workshop link under the “Abstract Submission Entry Forms” section to submit an abstract for the conference. Required fields on the Abstract Submission form are marked with a red asterisk and you are able to include attachments if needed.
From the HST portal you will be able to see your abstract submissions under “My Abstract Submission”.
To add comments or additional attachments, simply click on the abstract you need.
If you are entering more than one Abstract you will need to complete the Abstract Submission Form again.
Submitting an abstract does not register you for the conference.
- Nicole Arulanantham
- Kathleen Barger
- Joachim Bestenlehner
- Nuria Calvet
- Catherine Espaillat
- Kevin France
- Miriam Garcia
- Ana Gomez De Castro
- Uma Gorti
- Ed Jenkins
- Carlo Manara
- Lucimara Martins
- Karina Mauco
- Lida Oskinova
- James Owen
- Caeley Pittman
- Varsha Ramachandran
- Jon Sundqvist
- Dorottya Szecsi
- Thanawuth Thanathibodee
- Frank Tramper
- Eva Villaver
- Jorick Vink
- Yong Zheng
- Zhaohuan Zhu