Towards sub-milliarcsecond astrometric precision using high-cadence seeing-limited imaging

ABSTRACT The Earth’s atmospheric turbulence degrades the precision of ground-based astrometry. Here, we discuss these limitations and propose that, with proper treatment of systematics and by leveraging the many epochs available from the Korean Microlensing Telescope Network (KMTNet), seeing-limited observations can reach sub-milliarcsecond precision. Such observations may be instrumental for the detection of Galactic black holes via microlensing. We present our methodology and pipeline for precise astrometric measurements using seeing-limited observations. The method is a variant of Gaia’s Astrometric Global Iterative Solution that include several detrending steps. Tests on 6500 images of the same field, obtained by KMTNet with typical seeing condition of 1 arcsec and pixel scale of 0.4 arcsec, suggest that we can achieve, at the bright end (mag $\lesssim$ 17), per-epoch relative astrometric precision of ${\sim }$5 mas and relative proper motion precision of 0.1–0.2 mas yr$^{-1}$ over a baseline of approximately five years, using data from the Cerro Tololo Inter-American Observatory (CTIO) site. Time binning on 5–20 d cadences improves the bright-source precision to $\sim$2 mas per coordinate on astrometric microlensing-relevant time-scales. The precision is estimated using bootstrap simulations and further validated by comparing results from two independent KMTNet telescopes.

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Publication Details

Journal
Monthly Notices of the Royal Astronomical Society
Published
2026-01-08
DOI
https://doi.org/10.1093/mnras/staf2234
Primary Topic
Adaptive optics and wavefront sensing
Type
article
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article

Towards sub-milliarcsecond astrometric precision using high-cadence seeing-limited imaging

Yongseok Lee, Hongjing Yang, Yoon-Hyun Ryu, Noam Segev et al.
Monthly Notices of the Royal Astronomical Society
Adaptive optics and wavefront sensing
article

Towards sub-milliarcsecond astrometric precision using high-cadence seeing-limited imaging

Yongseok Lee, Hongjing Yang, Yoon-Hyun Ryu, Noam Segev, E. O. Ofek, D.-J. Kim, Dong-Jin Kim, Cheongho Han, Sang-Mok Cha, D. J. Lee, Sun-Ju Chung, Kyu-Ha Hwang, Andrew Gould, Hyoun-Woo Kim, Krzysztof A Rybicki, Richard W Pogge, Yossi Shvartzvald, Seung-Lee Kim, In-Gu Shin, Byeong-Gon Park, Chung-Uk Lee, Weicheng Zang
article en

Abstract

ABSTRACT The Earth’s atmospheric turbulence degrades the precision of ground-based astrometry. Here, we discuss these limitations and propose that, with proper treatment of systematics and by leveraging the many epochs available from the Korean Microlensing Telescope Network (KMTNet), seeing-limited observations can reach sub-milliarcsecond precision. Such observations may be instrumental for the detection of Galactic black holes via microlensing. We present our methodology and pipeline for precise astrometric measurements using seeing-limited observations. The method is a variant of Gaia’s Astrometric Global Iterative Solution that include several detrending steps. Tests on 6500 images of the same field, obtained by KMTNet with typical seeing condition of 1 arcsec and pixel scale of 0.4 arcsec, suggest that we can achieve, at the bright end (mag $\lesssim$ 17), per-epoch relative astrometric precision of ${\sim }$5 mas and relative proper motion precision of 0.1–0.2 mas yr$^{-1}$ over a baseline of approximately five years, using data from the Cerro Tololo Inter-American Observatory (CTIO) site. Time binning on 5–20 d cadences improves the bright-source precision to $\sim$2 mas per coordinate on astrometric microlensing-relevant time-scales. The precision is estimated using bootstrap simulations and further validated by comparing results from two independent KMTNet telescopes.

Monthly Notices of the Royal Astronomical SocietyVol. 546(1)
Chungbuk National University (KR), University of Canterbury (NZ), Korea Astronomy and Space Science Institute (KR), Westlake University (CN), Kyung Hee University (KR), American Committee for the Weizmann Institute of Science (US), Center for Astrophysics Harvard & Smithsonian (US), The Ohio State University (US), Weizmann Institute of Science (IL), Korea University of Science and Technology (KR), Tsinghua University (CN)
Openalex Percentile: Top 89%
Adaptive optics and wavefront sensing
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