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arXiv · 2209.02751

HubPUG: Proper Motions for Local Group Dwarfs observed with HST utilizing Gaia as a Reference Frame

Jack T. Warfield·Nitya Kallivayalil·Paul Zivick·Tobias Fritz·Hannah Richstein·Sangmo Tony Sohn·Andrés del Pino·Alessandro Savino·Daniel R. Weisz
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Abstract

We present the method behind HubPUG, a software tool built for recovering systemic proper motions (PMs) of Hubble Space Telescope (HST) fields with two epochs of observations by utilizing stars observed by Gaia as a foreground frame of reference. HST PM experiments have typically relied on the use of distant background galaxies or quasi-stellar objects (QSOs) as stationary sources against which to measure PMs. Without consistent profiles, background galaxies are more difficult to centroid, but benefit on-aggregate from their large numbers. QSOs, though they can be fit with stellar point-spread functions, are sparse, with most fields containing none. Historically, the use of stars as references against which to measure PMs would have been difficult because they have individual PMs of their own. However, Gaia has now provided positions and PMs for over 1.4 billion stars, which are much more likely to be well-imaged in the fields around targets versus background sources, have predictable stellar profiles, and require less observing time per-image for good signal-to-noise. This technique allows us to utilize the power of Gaia to measure the PM of targets too faint for Gaia to observe itself. We have recovered PMs for the Milky Way satellites Sculptor and Draco with comparable uncertainties over HST-only and Gaia-only measurements, limited primarily by the current capabilities of the Gaia data. We also show the promise of this method for satellites of M31 with a new PM measurement for Andromeda VII.

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Jack T. Warfield, Nitya Kallivayalil, Paul Zivick, Tobias Fritz, Hannah Richstein, Sangmo Tony Sohn, Andrés del Pino, Alessandro Savino, Daniel R. Weisz. 2022-09-06. HubPUG: Proper Motions for Local Group Dwarfs observed with HST utilizing Gaia as a Reference Frame. https://doi.org/10.1093/mnras%2Fstac3647

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