Deconstructing a galaxy: colour distributions of point sources in Messier 83
A. Kiar, P. Barmby, A. Hidalgo

TL;DR
This study analyzes the colour distributions of nearly 70,000 point sources in Messier 83 using multiband photometry, exploring clustering methods and their effectiveness in classifying different stellar objects.
Contribution
It evaluates the effectiveness of clustering algorithms on multiband colour data to classify sources in a nearby galaxy, providing insights for future galaxy surveys.
Findings
K-Means identified likely star clusters.
Mean Shift detected outliers at colour distribution edges.
Combining narrow-band data offers limited benefit for spectral line source identification.
Abstract
What do we see when we look at a nearby, well-resolved galaxy? Thousands of individual sources are detected in multiband imaging observations of even a fraction of a nearby galaxy, and characterizing those sources is a complex process. This work analyses a ten-band photometric catalogue of nearly 70 000 point sources in a 7.3 square arcmin region of the nearby spiral galaxy Messier 83, made as part of the Early Release Science programme with the Hubble Space Telescope's Wide Field Camera 3. Colour distributions were measured for both broad-band and broad-and-narrow-band colours; colours made from broad-bands with large wavelength differences generally had broader distributions although B - V was an exception. Two- and three-dimensional colour spaces were generated using various combinations of four bands and clustered with the K-Means and Mean Shift algorithms. Neither algorithm was…
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