Empirical Globular Cluster Ridgeline Construction on Gaia Data
Anett Simon-Zs\'ok, L\'aszl\'o Moln\'ar, Csilla Kalup, Meridith Joyce

TL;DR
This paper introduces a new empirical method and software for constructing globular cluster ridgelines from Gaia data, enabling better comparison with models while preserving key physical properties of the clusters.
Contribution
The paper presents a novel empirical approach and code for compressing globular cluster CMDs into ridgelines that retain physical and morphological information.
Findings
Effective preservation of cluster morphology
Enhanced comparison with isochrone models
Applicable to Gaia data for globular clusters
Abstract
We present a new method and a corresponding code to compress the color magnitude diagram of a globular cluster into a representative curve, called a ridgeline, that can be more readily compared to isochrone models, among other applications. This compression method preserves the physical properties of the cluster, including the morphology of the CMD.
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Taxonomy
TopicsGeological Modeling and Analysis · Image Processing and 3D Reconstruction · Time Series Analysis and Forecasting
