Build: #1 was successful First build for this plan

Stages & jobs

  1. Default Stage

  2. Test

Build result summary

Details

Completed
Queue duration
1 minute
Duration
76 minutes
Labels
None
Revision
9bb9f1a94ea1f1033fc0f9833623fe3b96256e5d
Total tests
696

Tests

Code commits

Author Commit Message Commit date
Hendrik Muller <hmuller@smurf.aoc.nrao.edu> Hendrik Muller <hmuller@smurf.aoc.nrao.edu> 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

Shared artifacts

Artifact File size
ManyLinux228 Casatestutils 157 KB
ManyLinux228 Python 3.12 Tool wheel 75 MB