The Astronomical Journal (Jan 2024)

The DECam Ecliptic Exploration Project (DEEP). III. Survey Characterization and Simulation Methods

  • Pedro H. Bernardinelli,
  • Hayden Smotherman,
  • Zachary Langford,
  • Stephen K. N. Portillo,
  • Andrew J. Connolly,
  • J. Bryce Kalmbach,
  • Steven Stetzler,
  • Mario Jurić,
  • William J. Oldroyd,
  • Hsing Wen Lin,
  • Fred C. Adams,
  • Colin Orion Chandler,
  • Cesar Fuentes,
  • David W. Gerdes,
  • Matthew J. Holman,
  • Larissa Markwardt,
  • Andrew McNeill,
  • Michael Mommert,
  • Kevin J. Napier,
  • Matthew J. Payne,
  • Darin Ragozzine,
  • Andrew S. Rivkin,
  • Hilke Schlichting,
  • Scott S. Sheppard,
  • Ryder Strauss,
  • David E. Trilling,
  • Chadwick A. Trujillo

DOI
https://doi.org/10.3847/1538-3881/ad1527
Journal volume & issue
Vol. 167, no. 3
p. 134

Abstract

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We present a detailed study of the observational biases of the DECam Ecliptic Exploration Project’s B1 data release and survey simulation software that enables direct statistical comparisons between models and our data. We inject a synthetic population of objects into the images, and then subsequently recover them in the same processing as our real detections. This enables us to characterize the survey’s completeness as a function of apparent magnitudes and on-sky rates of motion. We study the statistically optimal functional form for the magnitude, and develop a methodology that can estimate the magnitude and rate efficiencies for all survey’s pointing groups simultaneously. We have determined that our peak completeness is on average 80% in each pointing group, and our magnitude drops to 25% of this value at m _25 = 26.22. We describe the freely available survey simulation software and its methodology. We conclude by using it to infer that our effective search area for objects at 40 au is 14.8 deg ^2 , and that our lack of dynamically cold distant objects means that there at most 8 × 10 ^3 objects with 60 < a < 80 au and absolute magnitudes H ≤ 8.

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