2023 September 13 at 14:00 to 17:00
2023 September 14 to 09:30 to 16:00
Fisher RoomDenis Sciama Lecture Theatre, Denys Wilkinson Building, Keble Road, Department of Physics, University of Oxford
Accommodation: University rooms website, Booking.com has many options. Area north of Denys Wilkinson toward Summertown is also good area (walk or direct and frequent short bus).
Deadline for registration has now passed and the meeting has reached capacity. A zoom link will be posted here for those who wish to attend remotely.
Remote participation :
https://zoom.us/j/93926620483?pwd=LzMzQ2dMRmEyOTVSTTlkSHZaZVdXUT09
ID: 939 2662 0483
Password: 251
There will be a dinner Christ Church on the evening of 13th. As you sign up, please add your dietary requirements. If you signed up AFTER 23rd August you must confirm your place at the dinner by sending an email to cigdem.arnison@physics.ox.ac.uk. Those who signed up before are confirmed.
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We welcome experienced users and new users at meeting and there will be plenty of opportunities for interaction, small group working and discussion and one-to-one help.
The outline timetable is below and we welcome requests or suggestions for topics and sessions. It is currently in development and very flexible.
Will the meeting be hybrid ?
Yes, we will provide a remote connection to the meeting .
First draft of the programme
Will be updated as more register, feedback from attendees welcome to shape the meeting (first draft made 2/Aug/2023- see above
Final programme (all times BST = GMT+1hr)
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Wednesday September 13th
Morning to lunchtime : arrival and informal meetings with the Lasair team (Lasair team will be available from morning for any requested discussions).
Morning to Lunch (13:00) | Lasair team available for tutorials, demos, discussions. Location : Astrophysics Data Laboratory, top floor of Tower (Level 7 of DWB) |
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13:00 - 13:50 Lunch (provided)
13:50 - 14:00 | Group Photo | |
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14:00 - 15:30 | Overview of Lasair ZTF and what changes we foresee for Lasair LSST (Chair: TBDMark Sullivan) | |
14:00 - 14:15 (10 min + 5 Q&A) | Introduction and overview : Rubin project schedule and alerts | Stephen Smartt |
14:15 - 14:45 | Roy Williams | |
14:45 - 15:00 | Q&A on Lasair | Roy and Stephen |
15:00 - 15:15 | Catalogue cross-matching and Sherlock(12min + 3 Q&A) | Dave Young |
15:15 - 15:30 | Using the Lasair API (12min + 3 Q&A) | Ken Smith |
15:30 - 16:00 Tea
All 20min talks = 15min talking and 5mins Q&A
16:00 - 17:30 | Science cases - session I (Chair: TBDMatt Nicholl) | |
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16:00 - 16:20 | Lasair + TiDES | Chris Frohmaier |
16:20 - 16:40 | Lasair and fast transients | Michael Fulton (remote) |
16:40 - 17:00 | Lasair and slow transients | Phil Wiseman |
17:00 - 17:30 | Open Discussion time or additional science cases (if needed) | (Stephen) |
Some suggested topics for discussion time : communication between Lasair and TIDES (transient classification),
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09:15 - 11:00 | Science case studies - session II (Chair: TBDIsobel Hook) | |
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09:15 - 09:30 | Faint transients, outbursts, detection efficiencies | Morgan Fraser |
09:30 - 09:45 | NEEDLE - image classifier | Xinyue ShangSheng |
09:45 - 10:00 | Searches for lensed transients with Lasair | Ana Sainz de Murieta, Mark Magee |
10:00 - 10:15 | LSST and lensing | Suhail Dhawan |
10:15 - 10:30 | Lasair user experience | Dan Ryzcanowski |
10:30 - 10:45 | Lasair user experience | Harry Addison |
10:45 - 11:00 | Links between multimessenger science and LSST | Francesca Onori |
11:00 - 11:20 Coffee
11:20 - 11:50 | Science case studies - session II (Chair: TBDJames Mullaney) | |
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11:20 - 11:35 | Stellar binaries and variables with Lasair | Sarah Casewell |
11:35 - 11:50 | What Lasair can do for solar system and Adler | Meg Schwamb |
11:50 - 12:45 | Breakout group discussions. Break into groups, more detailed discussion about science and user requirements |
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Slow and nuclear transients | Data lab |
Fast transients and GW counterparts | Fisher room |
Lensed SNe | Cafeteria |
Stars and variability - Lasair and the RSP | Bipac |
Others to be decided at meeting |
12:45 - 13:45 Lunch (provided)
13:45 - 14:45 | Reports from groups |
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14:45 - 15:15 Tea
15:15 - 16:00 | Discussions and user requirements |
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16:00 Finish
How will LSST alert data differ from ZTF ?
Alerts will be released 60 seconds after shutter closure
1 yr of history (rather than 30 days) in the first alert packet.
In the 2nd and subsequent alerts, there will be forced photometry data, over 1 yr (SJS has to check if it’s 1 yr or full history). You will get 2 plots - one will be the magnitudes for >=3 sigma detections,
Image stamps will only be 6 x 6 arcsec.
Access to large image stamps of the target data are embargoed for 80 hrs (even to those with data rights). Access to the larger stamps from the reference images is not under the 80hr embargo but they are only available to data rights holders.
Forced photometry will continue for all real objects, after they fall below the 5-sigma limit - we need to check for how long this will continue (Eric Bellm’s document and information)
Some Discussion starting points for the breakout groups
User requirements for Lasair - what’s missing that your science needs
How to alert on interesting sources early - ML for lightcurves and classification
Cross-match catalogues : from watchlists to catalogues
Do you need large cut-outs or is 6 x 6 arcsec sufficient ?
How quickly do you need forced photometry ?
Is documentation sufficient to learn how to use Lasair, and SQL and make queries ?
What are the biggest barriers to writing a filter query to find your type of object ?
What are the biggest barriers to writing a filter or query to find candidate lensed SNe within the Lasair system ?
Questions raised
Is the forced photometry 1yr or full history ?
Saturation limit - what happens with m < 16 sources, are they even flagged ?
Real time x-match against Euclid - possible ?
How will a resolved PSF, such as a lensed SN be treated in the LSST real-bogus classification and will it be rejected with a simple RB cut ?
Can we fill in the non detections without a follow-up real detection ?
Not all users are knowledgable about the Cassandra vs MySQL database difference and that the data are in the database and how to access those values.