Image Details

Choose export citation format:

Benchmarking Dimensionality Reduction Methods for High-dimensional ALMA Image Cubes

  • Authors: Haley N. Scolati, Ryan A. Loomis, Anthony J. Remijan, Kin Long Kelvin Lee

Haley N. Scolati et al 2026 The Astronomical Journal 171 .

  • Provider: AAS Journals

Caption: Figure 9.

Hyperparameter tuning of the regularization parameter α across varying numbers of components, n, for the sparse PCA algorithm. Reconstructions shown correspond to a selected channel from the G34.30 (top) and LkCa 15 (bottom) datasets. Nonconvergent results are labeled “DNC” (did not converge).

Other Images in This Article

Show More

Copyright and Terms & Conditions

Additional terms of reuse