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asarina

Operational tooling for the pyrt photometry pipeline: calibration frame creation and real-time image processing. Depends on pyrt being installed.

Components

asarina.chip_id

Camera identification registry. Maps FITS header fields (CCD_SER, CCD_TYPE, etc.) to short camera IDs (e.g. mi6166, andor46, fli534). Used by both calib and pipeline. Single source of truth for all camera identification.

asarina.calib

Creates master dark and flat-field frames from raw calibration images.

  • make_calib.py — main orchestrator: scans an archive for raw frames by year and camera, filters by quality, pairs darks with flats, produces master calibration frames. Uses a SQLite cache for frame statistics to avoid recomputation.
  • mixdark.py / mixflat.py — combine sets of dark/flat frames into masters.
  • iraf_combine_dark.sh / iraf_combine_flat.sh — IRAF-based frame combination scripts.

Output structure: ~/calib/{camera_id}/{year}/

asarina.pipeline

Real-time image processing pipeline for automated nightly observations.

  • imgproc.py — single-image processor: dark/flat → astrometry → dophot → ECSV/PNG + corrwerr to stdout for RTS2. Called directly by the RTS2 imgproc daemon.
  • watch.py — file-watching daemon: polls for new FITS images from a camera, hands each to PhotometryPipeline, uploads results. Integrates with systemd (watchdog, journal logging).
  • ingest.pyPhotometryPipeline class: dark/flat → astrometry → dophot → ECSV + DB upload. CLI entry point (asarina-ingest) for batch photometry on a list of files.
  • image.pyImageProcessor class: dark/flat correction + optional solve/photometry. CLI entry point (asarina-image) for producing calibrated FITS files.
  • pipeline_utils.py — shared utilities: HealthChecker, PngCleaner, setup_logging.
  • transient_daemon.py — monitors ECSV output for transient events and triggers follow-up.

Installation

pip install -e /home/mates/asarina

pyrt must be installed first:

pip install -e /home/mates/pyrt

CLI entry points

Command Entry point
asarina-make-calib asarina.calib.make_calib:main
asarina-image asarina.pipeline.image:main
asarina-ingest asarina.pipeline.ingest:main
asarina-watch asarina.pipeline.watch:main
asarina-imgproc asarina.pipeline.imgproc:main

systemd

Service unit files are in systemd/:

  • c0-pipeline.service — runs asarina-watch, restarts on failure, 2 GB RAM / 80% CPU limits, watchdog every 120 s.

Copy to /etc/systemd/system/ and run systemctl enable --now <service>.

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