2019-2020 TVS task forces
Metrics (MAFs) were not generally available with the submitted TVS white papers and without them the cadences cannot be evaluated. This means the requested cadences may actually not be simulated, unless a MAF is provided or easily generated by the project members. This TF should
1 - Learn the MAF
2 - Review the TVS White Paper submissions for cadence proposals
3 - Design and code MAFs for all TVS submissions
4 - Create TVS specific (video) tutorials for MAF
Members will get involved in the LSST “stack club” and this gain access to the LSST Science Platform. This TF should:
1 - Gain familiarity with the LSST Science Platform and share it with the rest of TVS,
2 - Understand what TVS users need from the Science Platform and evaluate whether the current design will provide it.
3 - Report on Stack Club by a member of the club (possibly also member of TVS)
Deep and accurate PSF photometry in crowded fields, and search for variable stars TF
This TF will follow the success of the deblending TF that analyzed DECAM very crowded fields with DAOPhot with the aim to refine parameters in the LSST Stack to optimize crowded field photometry for variable stars and stacks. This TF should:
1 - Perform a full test of the DECam Bulge dataset (2013A-0721) with Scarlet
2 - Publish the results of our tests in a refereed paper
3 - Publish any scientific result which could arise from our analysis.
The LSST commissioning is planned to start in a year and LSST Project has solicited the involvement of the SCs. This TF should:
1 - Design potential on-sky observations which could be done during the commissioning phase in order to test the feasibility of our science cases within TVS.
2 - Define minimum requirements useful for the proposed (respective) science cases.
3 - Maybe even design tools/metrics to test feasibility.