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

Authors :
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
Source :
The Astronomical Journal, Vol 167, Iss 3, p 134 (2024)
Publication Year :
2024
Publisher :
IOP Publishing, 2024.

Abstract

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.

Details

Language :
English
ISSN :
15383881
Volume :
167
Issue :
3
Database :
Directory of Open Access Journals
Journal :
The Astronomical Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.33977b8101346c9a9be8492cfe72646
Document Type :
article
Full Text :
https://doi.org/10.3847/1538-3881/ad1527