Annual Data Release Catalog is like a very well done, self-consistent, single-software, best-result Daily Catalog will reprocess all the previous data. Daily Catalog is best estimate at that time. Data Products Definition Document LSC-163. LSST provides 3 types of products to enable Solar System science: Prompt Products = Real-time (60 s) and Daily Catalog Data Release Orbit Catalog (annual). Mario Juric – “LSST Solar System Processing Product Owner” for the LSST Solar System Processing Team. Add sections to COSEP to include supporting text. COSEP is living document, but White Papers are for our best guesses now.įor us to do: be familiar with all these things and contribute. As the survey progresses, things could be re-evaluated. The Survey Strategy Committee is going to review all these and provide a recommendation for the initial survey strategy. 1x30s), Wide-Fast-Deep survey cadence? North Ecliptic Spur (NES) footprint and cadence? Pairs in same or different filters? Filter selection criteria? Other mini surveys for solar system? Survey Strategy White Papers are going to explore this in detail many questions for solar system. These metrics define performance of a given survey strategy in a quantitative way, allowing for quantitative decision making in cadence and other calculations. You can calculate metrics over H or over orbital properties, etc. Potential metrics: number of objects lost accuracy of orbital parameters as a function of time does an object receive enough observations to determine rotation period / spin pole / phase curve? Will an object need followup on any given night? Improvements on exiting metrics. All of these can be summarized as fraction of population as a function of H. likelihood of detecting activity for a given object assuming random distribution of activity times. For a discovery metric, for example, ~0.1 CPU-hours.Ĭurrent metrics (see Cahpter 3 of Community Observing Strategy Evaluation Paper ( COSEP) include: discovery (time of first discovery, number of opportunities for discovery – summarized as completeness as a function of H over population) number of observations or total arc length light curve inversion color determination. Can separate size and orbit properties, as if cloning same orbit over a range of H magnitudes can also keep H-orbit correlations if you want. Metrics Analysis Framework (MAF) analyses these observations and applies a “metric” to all observations of the same object. Generating 2000 objects (single thread) is ~4 CPU-hours. Current status: it is there and it works, but it may not be efficient. Reports SNR (including trailing losses) for a given H. Sims_movingObjects takes a set of orbits/objects and an output from OpSim to generate observations LSST would acquire (passes along OpSim results). Generating one OpSim output is ~50 CPU-hours.

Pointing history includes 5-sigma depth, seeing, filter, etc. OpSim generates simulated pointing histories under realistic conditions it will eventually be the actual LSST scheduler.

This paper focuses on the methods used to detect these objects from the ≈60,000 Y4 exposures, a process made challenging by the absence of the few-hour repeat observations employed by TNO-optimized surveys.Lynne Jones (UW/DIRAC/LSST) – OpSim Simulations & Small Body Metrics (with MAF = Metrics Analysis Framework) I find weak evidence, at the Almost-Equal-To 2 of the southern sky in the grizY optical/NIR filter set, with a typical TNO in this part of the sky being targeted by 25–30 Y4 exposures.

I present a catalog of SDSS photometry, colors, and astrometry of 388 measurements of 42 outer solar system objects. Here I describe a search for serendipitous Sloan Digital Sky Survey (SDSS) observations of known TNOs and Centaurs. Colors of trans-Neptunian objects (TNOs) are used to study the evolutionary processes of bodies in the outskirts of the solar system and to test theories regarding their origin.

Maf lsst astrometry