English

Enabling Deep All-Sky Searches of Outer Solar System Objects

Earth and Planetary Astrophysics 2019-01-25 v1 Instrumentation and Methods for Astrophysics

Abstract

A foundational goal of the Large Synoptic Survey Telescope (LSST) is to map the Solar System small body populations that provide key windows into understanding of its formation and evolution. This is especially true of the populations of the Outer Solar System -- objects at the orbit of Neptune r>30r > 30AU and beyond. In this whitepaper, we propose a minimal change to the LSST cadence that can greatly enhance LSST's ability to discover faint distant Solar System objects across the entire wide-fast-deep (WFD) survey area. Specifically, we propose that the WFD cadence be constrained so as to deliver least one sequence of 10\gtrsim 10 visits per year taken in a 10\sim 10 day period in any combination of g,rg, r, and ii bands. Combined with advanced shift-and-stack algorithms (Whidden et al. 2019) this modification would enable a nearly complete census of the outer Solar System to 25.5\sim 25.5 magnitude, yielding 484-8x more KBO discoveries than with single-epoch baseline, and enabling rapid identification and follow-up of unusual distant Solar System objects in 5\gtrsim 5x greater volume of space. These increases would enhance the science cases discussed in Schwamb et al. (2018) whitepaper, including probing Neptune's past migration history as well as discovering hypothesized planet(s) beyond the orbit of Neptune (or at least placing significant constraints on their existence).

Keywords

Cite

@article{arxiv.1901.08549,
  title  = {Enabling Deep All-Sky Searches of Outer Solar System Objects},
  author = {Mario Jurić and R. Lynne Jones and J. Bryce Kalmbach and Peter Whidden and Dino Bektešević and Hayden Smotherman and Joachim Moeyens and Andrew J. Connolly and Michele T. Bannister and Wesley Fraser and David Gerdes and Michael Mommert and Darin Ragozzine and Megan E. Schwamb and David Trilling},
  journal= {arXiv preprint arXiv:1901.08549},
  year   = {2019}
}

Comments

White Paper submitted in response to the Call for LSST Cadence Optimization White Papers

R2 v1 2026-06-23T07:21:28.864Z