A Bayesian Approach to Locating the Red Giant Branch Tip Magnitude (Part II); Distances to the Satellites of M31
Anthony R. Conn, Rodrigo A. Ibata, Geraint F. Lewis, Quentin A., Parker, Daniel B. Zucker, Nicolas F. Martin, Alan W. McConnachie, Mike J., Irwin, Nial Tanvir, Mark A. Fardal, Annette M. N. Ferguson, Scott C. Chapman,, David Valls-Gabaud

TL;DR
This paper enhances a Bayesian method for measuring galaxy distances using the TRGB standard candle by incorporating a matched-filter weighting scheme, applying it to M31 satellites, and deriving new distances for several dwarf galaxies.
Contribution
It introduces a matched-filter weighting scheme to improve TRGB distance measurements and applies it comprehensively to M31 satellite galaxies, including new distance estimates.
Findings
Distances to several M31 satellites were determined for the first time.
The method successfully reduces uncertainties in distance measurements.
A comprehensive 3D view of the M31 satellite system was produced.
Abstract
In `A Bayesian Approach to Locating the Red Giant Branch Tip Magnitude (PART I),' a new technique was introduced for obtaining distances using the TRGB standard candle. Here we describe a useful complement to the technique with the potential to further reduce the uncertainty in our distance measurements by incorporating a matched-filter weighting scheme into the model likelihood calculations. In this scheme, stars are weighted according to their probability of being true object members. We then re-test our modified algorithm using random-realization artificial data to verify the validity of the generated posterior probability distributions (PPDs) and proceed to apply the algorithm to the satellite system of M31, culminating in a 3D view of the system. Further to the distributions thus obtained, we apply a satellite-specific prior on the satellite distances to weight the resulting…
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