Towards sub-milliarcsecond astrometric precision using seeing-limited imaging
Noam Segev, Eran O. Ofek, Yossi Shvartzvald, Krzysztof A. Rybicki, Chung-Uk Lee, Dong-Jin Kim, Jennifer C. Yee, Michael D. Albrow, Sun-Ju Chung, Andrew Gould, Cheongho Han, Kyu-Ha Hwang, Youn Kil Jung, In-Gu Shin, Hongjing Yang, Weicheng Zang, Sang-Mok Cha, Hyoun-Woo Kim, Seung-Lee Kim, Yoon-Hyun Ryu, Dong-Joo Lee, Yongseok Lee, Byeong-Gon Park, Richard W. Pogge
TL;DR
This work evaluates the feasibility of sub-milliarcsecond astrometry using seeing-limited ground-based data by leveraging the Korea Microlensing Telescope Network (KMTNet). It introduces a Gaia-like AGIS-inspired reduction pipeline with detrending to control systematics (chromatic, annual, intra-pixel, SYSREM) and demonstrates performance on KMTNet fields BLG17K0103 and BLG15M0306. The results show per-epoch precision of ~5 mas for bright sources, with time-binned gains to ~2 mas per coordinate, and a bootstrap-based proper-motion precision near 0.1 mas/yr; Gaia DR3 comparisons yield ~0.3 mas/yr, highlighting both opportunities and frame-related systematics. The study confirms the viability of ground-based astrometric microlensing to detect isolated stellar-mass black holes and underscores the value of cross-telescope combinations for improved precision. Overall, the methodology provides a practical path to high-precision, seeing-limited astrometry in crowded bulge fields, complementing space-based surveys like Roman/WFIRST.
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 (AGIS) that includes several detrending steps. Tests on 6,500 images of the same field, obtained by KMTNet with typical seeing condition of 1 arcsecond and pixel scale of 0.4 arcsecond, suggest that we can achieve, at the bright end (mag<17), per-epoch relative astrometric precision of ~5 and relative proper motion precision of 0.1-0.2 mas/yr over a baseline of approximately five years, using data from the Cerro Tololo Inter-American Observatory (CTIO) site. Time binning on 5--20 day cadences improves the bright-source precision to ~2 mas per coordinate on astrometric microlensing-relevant timescales. The precision is estimated using bootstrap simulations and further validated by comparing results from two independent KMTNet telescopes.
