orca.tasks.peel_experiment

Experimental peeling pipeline tasks.

Provides Celery tasks for testing and developing peeling workflows including: - TTCal peeling with configurable source lists - RFI source peeling - Multiple peeling iterations with different maxiter settings - Diagnostic image generation

This is an experimental module for peeling algorithm development.

Attributes

`WORKDIR`
`BASE_73`
`SOURCES_JSON`
`RFI_JSON`
`JULIA060_ENV_NAME`
`TTCAL_DEV_ENV_PREFIX`
`CAL_TABLE`
`DEFAULT_MAXITER`
`OVRO`
`CYG_A`
`CAS_A`
`R_MASK`

Functions

`run_ttcal_with_conda`(env_type, ms_name, json_path, maxiter)	env_type: 'sources' or 'rfi'
`run_wsclean_stage`(ms_name, suffix)
`run_applycal_pre_peel`(ms_name, caltable_path)
`parse_utc_from_tag`(→ astropy.time.Time)	tag example: '2025-05-06_05_20250506_050008_73MHz_averaged_maxiter05'
`compute_lst_and_alts`(t)
`lst_to_hms_str`(lst_angle)
`load_masked_image`(fits_path[, r_mask])
`robust_rms`(vals[, nsig, max_iter])
`compute_rms_from_fits`(fits_path)
`make_three_panel_png`(run_dir, tag, rms_pre, ...)
`make_diff_image`(run_dir, tag)
`peel_experiment_task`(ms_rel_path[, maxiter])	Big experiment task:

Module Contents

orca.tasks.peel_experiment.WORKDIR[source]

orca.tasks.peel_experiment.BASE_73[source]

orca.tasks.peel_experiment.SOURCES_JSON[source]

orca.tasks.peel_experiment.RFI_JSON[source]

orca.tasks.peel_experiment.JULIA060_ENV_NAME = 'julia060'[source]

orca.tasks.peel_experiment.TTCAL_DEV_ENV_PREFIX = '/opt/devel/pipeline/envs/ttcal_dev'[source]

orca.tasks.peel_experiment.CAL_TABLE[source]

orca.tasks.peel_experiment.DEFAULT_MAXITER = 5[source]

orca.tasks.peel_experiment.OVRO[source]

orca.tasks.peel_experiment.CYG_A[source]

orca.tasks.peel_experiment.CAS_A[source]

orca.tasks.peel_experiment.R_MASK = 1833[source]

orca.tasks.peel_experiment.run_ttcal_with_conda(env_type: str, ms_name: str, json_path: pathlib.Path, maxiter: int)[source]: env_type: ‘sources’ or ‘rfi’

orca.tasks.peel_experiment.run_wsclean_stage(ms_name: str, suffix: str)[source]

orca.tasks.peel_experiment.run_applycal_pre_peel(ms_name: str, caltable_path: pathlib.Path)[source]

orca.tasks.peel_experiment.parse_utc_from_tag(tag: str) → astropy.time.Time[source]: tag example: ‘2025-05-06_05_20250506_050008_73MHz_averaged_maxiter05’ or without the _maxiterXX suffix.

orca.tasks.peel_experiment.compute_lst_and_alts(t: astropy.time.Time)[source]

orca.tasks.peel_experiment.lst_to_hms_str(lst_angle)[source]

orca.tasks.peel_experiment.load_masked_image(fits_path, r_mask=R_MASK)[source]

orca.tasks.peel_experiment.robust_rms(vals, nsig=5.0, max_iter=5)[source]

orca.tasks.peel_experiment.compute_rms_from_fits(fits_path)[source]

orca.tasks.peel_experiment.make_three_panel_png(run_dir: pathlib.Path, tag: str, rms_pre: float, rms_after1: float, rms_after2: float)[source]

orca.tasks.peel_experiment.make_diff_image(run_dir: pathlib.Path, tag: str)[source]

orca.tasks.peel_experiment.peel_experiment_task(ms_rel_path: str, maxiter: int = DEFAULT_MAXITER)[source]

Big experiment task:

copy MS to WORKDIR/tag_maxiterXX
applycal
image pre-peel -> RMS_pre
ttcal (sources, maxiter=…) + image -> RMS_after1
ttcal (RFI, maxiter=…) + image -> RMS_after2
make 3-panel PNG
make pre-minus-after2 difference image

ms_rel_path is relative to BASE_73, e.g.

‘2025-05-06/05/20250506_050008_73MHz_averaged.ms’