Casa6

• 

  Hendrik Muller <hmuller@smurf.aoc.nrao.edu> 31 May 2026 9bb9f1a94ea1f1033fc0f9833623fe3b96256e5d

  Copy over CG-CLEAN method from ARDG-LibRA to CASA Method is described in detail in: https://ui.adsabs.harvard.edu/abs/2026A%26A...706A...77M/abstract (Mueller, Genie, Bhatnagar 2026: Accelerating the CLEAN algorithm of radio interferometry with convex optimization) For now, only the CG option is implemented, with momentum acceleration to follow later. Implementation is done by adding a new keyword to tclean (majorcycle) detailing which major loop heuristics is used, i.e. CS (Cotton-Schwab) or CG (conjugate gradients) The algorithm and its improvements are tested for continuum, polarization and cube imaging, with a variety of gridders including mosaics,w/a/aw-projection, TBD: validation for mvc A shallow set of examples to reproduce the improvements is linked to the Jira ticket

  • casatasks/src/private/imagerhelpers/input_parameters.py (version 9bb9f1a94ea1f1033fc0f9833623fe3b96256e5d) (diffs)
  • casatasks/src/private/task_tclean.py (version 9bb9f1a94ea1f1033fc0f9833623fe3b96256e5d) (diffs)
  • casatasks/xml/tclean.xml (version 9bb9f1a94ea1f1033fc0f9833623fe3b96256e5d) (diffs)