대형 쌍안 망원경과 SHARK-VIS를 사용하여 밝은 별의 어두운 동반성을 찾는 연구
이 논문은 SHARK-VIS 및 LBT(Large Binocular Telescope)를 사용하여 밝은 별의 어두운 동반성을 찾는 파일럿 연구에 대해 설명하고 있으며, 분광 관측과 직접 이미징을 결합하여 잠재적인 블랙홀을 포함한 쌍성계의 특성을 분석하는 방법을 제시합니다.
Direct Imaging Detects Stellar Companions in Binary Systems with High Mass Functions
This research leverages direct imaging techniques with the Large Binocular Telescope and SHARK-VIS to search for black holes and dark companions in binary star systems, revealing that while some systems show evidence of stellar companions, others exhibit characteristics of hierarchical triples, warranting further investigation.
A New Method for Identifying Black Hole Candidates in Photometric Microlensing Surveys Using a Bayesian Classifier
This paper introduces a new Bayesian classification method that leverages Galactic simulations and microlensing lightcurve data to identify potential black holes from photometric microlensing surveys, addressing the challenge of efficiently allocating resources for follow-up observations.
HOLESOM: A Machine Learning Tool for Identifying and Characterizing Slowly-Accreting Massive Black Holes Using Sparse Photometric Data
HOLESOM is a new machine learning tool that can identify and characterize slowly-accreting massive black holes (MBHs) using limited photometric data, addressing a key challenge in astrophysics.
Gaia18ajz: Evidence for a Candidate Black Hole Detected via Microlensing
This research paper presents compelling evidence for a candidate black hole, Gaia18ajz, discovered through gravitational microlensing and characterized using data from the Gaia mission and ground-based observatories.
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