This page details completed, ongoing and future planned science studies to be carried out by the Data Management Subsystem Science Team.
Current and Past SST projects:
Crowded Field Photometry
Detection efficiencies for Difference Images
Alerts “Key Numbers”
Options for Alert Production in Year 1
Variability Characterization Parameters in the DIA/Object Catalog
User-Facing Photometric Calibrations Documentation
Feasibility and implications of single 30s snaps vs 2 * 15s snaps
Algorithms workshop- Pre-Meeting Planning
Report on "LSB Universe with LSST" meeting
DM Requirements Gap Analysis
CalilbPalooza Workshop
- CalibPalooza - Meeting Agenda and Minutes
- Calibpalooza - Pre-workshop suggestions for topics and breakouts
Uniformity of coadds
Suggestions for future SST projects:
What | Suggested by | Description |
---|---|---|
variability characterization parameters | At some point, DM will have to select which variability characterization parameters (VCP) are included in the source catalogs (Prompt and DRP). This is JIRA issue - DM-11962Getting issue details... STATUS . This will depend on what is needed by the science community and by the mini-brokers, and what can be computationally supported by the DM system. Regarding the former, the TVS has a task force to evaluate which VCPs are needed for their science goals which should conclude around the end of 2018. It is anticipated that a similar selection process for VCPs as e.g., photo-z, will be needed. This project will also address PST-31 | |
documentation of photometric calibration | Produce user-facing documentation for LSST's photometric calibrations that are derived from Robert Lupton's documents: easy and hard. | |
Moving variable star | Moving variable star: a bias in motion due to flux=const.? (see science case for moving variable stars above) This topic comes from Zeljko Ivezic (note in the DPDD) | |
Review and overhaul of science pipelines documentation | The LSST Science Pipelines documentation at needs to be reviewed and overhauled. | |
(re-)Review of the number alerts/objects that LSST expect to observe | ||
Target of Opportunity policies and implementation | Are there special considerations DM needs to take into account to support ToO science? Collecting our understanding of ToOs in one tech note would be helpful. |