Guides#

Getting Started#

Eager to start using CRISPy? See Quick Start to begin.

Statistical Methods#

CRISPy’s underlying methodology, its implementation, and its application on 3D astrophysical images are described in:

  • Chen, M. C.-Y., et al. “Velocity-Coherent Filaments in NGC 1333: Evidence for Accretion Flow?” ApJ (2020).

The generalized statistical framework behind CRISPy and its specialized application on structured (non-image) astrophysical data are respectively presented in:

  • Chen, Y.-C., et al. “Generalized Mode and Ridge Estimation.” (2014).

  • Chen, Y.-C., et al. “Cosmic Web Reconstruction through Density Ridges: Method and Algorithm.” MNRAS (2015).

For the initial development of SCMS in statistics, please see:

  • Ozertem, U., and Erdogmus, D. “Locally Defined Principal Curves and Surfaces.” JMLR (2011).

API Reference#

For detailed information on all available modules, classes, and methods, refer to API Reference.