ArXiv TLDR

Phase-Space Crystallization in Galactic Globular Clusters: A Gaia-Based Metric and Implications for Technosignature Searches

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2605.06072

Bo-Lun Huang, Zhen-Zhao Tao, Tong-Jie Zhang

astro-ph.GAastro-ph.SR

TLDR

Researchers developed a Gaia-based metric (C_index) to quantify phase-space crystallization in globular clusters, identifying complex systems and aiding technosignature searches.

Key contributions

  • Introduced C_index, a Gaia-based metric quantifying phase-space crystallization in globular clusters.
  • Applied C_index to 79 clusters, identifying a non-Gaussian distribution and complex systems.
  • Ruled out single-shell kinematic components comprising >10-20% of core stars in control clusters.
  • C_index serves as a tool to rank clusters for follow-up dynamical or technosignature searches.

Why it matters

This paper introduces a novel, model-independent metric to quantify substructure in globular clusters, offering new insights into their dynamical complexity. It provides a valuable tool for astronomers to prioritize clusters for detailed study and for technosignature searches, enhancing the efficiency of future observations.

Original Abstract

We develop a model-independent framework to quantify phase-space "crystallization", the degree of ordered radial and kinematic substructure, in 79 Galactic globular clusters using the Gaia EDR3-based membership catalogue of E. Vasiliev & H. Baumgardt (2021a). We construct a scalar crystallization index, C_index, by combining a radial inhomogeneity metric (z_rad) and a local, cluster-centric tangential-velocity metric (z_vel) standardized against empirical nulls. The population distribution is strongly non-Gaussian: most clusters are consistent with smooth, equilibrium expectations, while a small high-C tail (C_index >= 2) identifies dynamically complex systems, including NGC 5139 (ωCen) and NGC 104 (47 Tuc). Correlation and fixed-N tests show that sample size affects detectability, but does not by itself explain all high-rank objects. Through synthetic injection tests in dynamically "quiet" control clusters, we demonstrate sensitivity to ultra-cold, shell-confined kinematic components, ruling out single-shell structures comprising more than a few to ~ 10-20% of core stars in the best-sampled control clusters. We find no evidence, within the sensitivity of the adopted diagnostics, for phase-space structures that require explanations beyond known dynamical processes. However, C_index provides a useful tool for ranking clusters by dynamical extremeness, serving both as a diagnostic for internal complexity and as a quantitative metric for prioritizing follow-up dynamical or technosignature-oriented observations.

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