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October 8, 2025The Astrophysical Journal6 citationsOpen Access

47 Tuc in Rubin Data Preview 1. Exploring Early LSST Data and Science Potential

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YCYumi ChoiKOKnut OlsenJCJeffrey L. Carlin

Key Points

  • Improved star–galaxy separation was achieved using advanced fitting methods in color-color diagrams.
  • A catalog of 3576 probable member stars of 47 Tuc was compiled through various filtering techniques.
  • Three known variable stars were accurately recovered, demonstrating the capability of the DP1 data.
  • The DP1 dataset shows promising potential for future scientific applications despite initial data limitations.

Abstract

Abstract We present analyses of the early data from Rubin Observatory’s Data Preview 1 (DP1) for the field of the globular cluster 47 Tuc. The DP1 data set for 47 Tuc includes four nights of observations from the Rubin Commissioning Camera (LSSTComCam), covering multiple bands ( ugriy ). We address challenges of crowding in the inner region of the cluster and toward the SMC in DP1, and demonstrate improved star–galaxy separation by fitting fifth-degree polynomials to the stellar loci in color–color diagrams and applying multidimensional sigma clipping. We compile a catalog of 3576 probable 47 Tuc member stars selected via a combination of isochrone, Gaia proper-motion, and color–color space matched filtering. We explore the sources of photometric scatter in the 47 Tuc color–color sequence, evaluating contributions from various potential sources, including differential extinction within the cluster. Finally, of the 72 well-characterized variables in the field, we recover three known variable stars, including two RR Lyrae and one eclipsing binary, in the coadd-based object catalog, and identify 62 in the difference image-based object catalog. Although the DP1 lightcurves have sparse temporal sampling, they appear to follow the patterns of densely sampled literature lightcurves well. Despite some data limitations for crowded-field stellar analysis, DP1 demonstrates the promising scientific potential for future LSST data releases.

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Cite This Study

Choi et al. (2025) studied this question.

synapsesocial.com/papers/68e5c1ba6950a706b22b558dhttps://doi.org/10.3847/1538-4357/adfb70
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