Towards Realistic Modeling of the Astrometric Capabilities of MCAO Systems: Detecting an Intermediate Mass Black Hole with MAVIS
Stephanie Monty, Francois Rigaut, Richard McDermid, Holger Baumgardt,, Jesse Cranney, Guido Agapito, J. Trevor Mendel, Cedric Plantet, Davide, Greggio, Peter B. Stetson, Giuliana Fiorentino, Dionne Haynes

TL;DR
This paper presents MAVISIM, a simulation tool for the MAVIS MCAO system, demonstrating 50 μas astrometric accuracy and exploring its potential to detect an intermediate mass black hole in a globular cluster.
Contribution
It introduces MAVISIM, a comprehensive simulation tool for MAVIS, and assesses MAVIS's capability to achieve high-precision astrometry and detect intermediate mass black holes.
Findings
Achieves 50 μas astrometric accuracy for stars brighter than m=19 in 30s
Detects the dynamical signature of an IMBH with ~0.20 km/s precision
Demonstrates MAVIS's potential for high-precision astrometry and black hole detection
Abstract
Accurate astrometry is a key deliverable for the next generation of multi-conjugate adaptive optics (MCAO) systems. The MCAO Visible Imager and Spectrograph (MAVIS) is being designed for the Very Large Telescope Adaptive Optics Facility and must achieve 150 as astrometric precision (50 as goal). To test this before going on-sky, we have created MAVISIM, a tool to simulate MAVIS images. MAVISIM accounts for three major sources of astrometric error, high- and low-order point spread function (PSF) spatial variability, tip-tilt residual error and static field distortion. When exploring the impact of these three error terms alone, we recover an astrometric accuracy of 50 as for all stars brighter than in a 30s integration using PSF-fitting photometry. We also assess the feasibility of MAVIS detecting an intermediate mass black hole (IMBH) in a Milky Way globular…
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