Beginning late 2022, the Large Synoptic Survey Telescope (LSST) will produce a nightly stream of ten million public alerts that will disseminate new information about transient, variable, and moving objects within 60 seconds of readout. A small number of "community brokers” will receive the full LSST alert stream, add scientific value, and provide science users the ability to identify targets of interest and trigger follow-up observations. Letters of Intent (LoI) are required from all teams who plan to propose a community alert broker, and are due by May 15, 2019 (https://ldm-682.lsst.io/). One month later, this technical workshop will bring together LSST Project personnel, representatives of the LSST Science Collaborations, and proposers of community brokers. Attendance will be by invitation only (~50 people maximum). The SOC plans to invite at least one representative from each team that submits an LoI.
The goal of this workshop is to facilitate the success of community brokers by opening lines of communication with the LSST project. The SOC will write a white paper summarizing the outcomes of this workshop that will serve as a reference for LSST community brokers going forward.
Morning Sessions: Welcome and participant introductions, followed by presentations by LSST Project personnel of LSST alert production and distribution, the Broker selection process and timeline, and information about LSST commissioning and operations.
Afternoon Sessions: Presentations from invited speakers on the science drivers for Community Brokers (use cases, needed capabilities, etc.) and "lessons learned" from previous surveys.
Morning Sessions: Presentations from the teams who have submitted a Letter of Intent. Guidelines for the format of these presentations will be provided.
Early Afternoon: Unconference
Late Afternoon Sessions: Formal presentations from invited speakers on algorithmic components of Brokers and alert stream processing, followed by a SOC-facilitated group discussion on "how it all fits together".
Morning Sessions: Presentations from invited speakers on technologies, interfaces, and implementation standards. Potentially some software/technology demos from industry representatives. SOC-facilitated discussion time.
Early Afternoon: Reports from Thursday's Unconference. Group discussion and identification of action items. A summary presentation provided by LSST Project personnel.
All sessions will be held in downtown Seattle at the Sheraton Grand Seattle hotel. A block of rooms has been reserved at a group rate, and participants will be sent information about how to book these rooms after they have registered (deadline: Fri May 24).
The venue is right in the middle of downtown, and the restaurant options are diverse in terms of costs and options.
We anticipate that most participants will arrive by air to the Seattle-Tacoma International Airport. The best way to reach the hotel is by public transit: take the Link Light Rail from Sea-Tac Airport to Westlake Station (northbound direct towards the University of Washington, no transfer). It's a 40 minute ride, and the $3 one-way tickets can be purchased by cash or credit card from automated machines at the stations. Once downtown, walk the two blocks from Westlake Station to the Sheraton Grand Seattle hotel.
The weather conditions in June should be nice, but are difficult to predict in advance! It is best to check the forecast close to the time of your visit and always pack a raincoat, just in case.
Staying for the weekend? Seattle has many wonderful options for our guests. Some of the top tourist attractions are the Pike Place Market, the Seattle Aquarium, the Museum of Popular Culture, the Living Computer Museum, and the iconic Space Needle, most within walking distance of the Sheraton. If you're more interested in a venture out onto the waterways or the wild outdoors, there is a very wide variety of options for that as well.
Leanne Guy (AURA/LSST)
Eric Bellm (LSST, UW)
Željko Ivezić (LSST, UW)
Federica Bianco (University of Delaware)
Rachel Street (Las Cumbres Observatory)
Joshua Bloom (University of California, Berkeley)
Robert Blum (AURA/LSST)
Melissa Graham (LSST, UW)