The four-image set worked out on Centaurus A is now generated for any target, because its value is the comparison: the same data at four levels of treatment, so a viewer can see what processing did and did not add. colour.py's assembly is driven by flags - gradient, neutralise, denoise, saturation, hdr, protect-compact - so the baseline and the fully corrected version come from ONE code path and the only differences between them are the ones named. Image 3 applies what the measurements justify rather than a house style. Each item is there because measuring the first session caught the conventional version getting something wrong: a plane fit that had absorbed 17.9 ADU/px of galaxy halo, a core flattened by a white point set by field stars, deconvolution ringing around every bright star, and denoising erasing faint compact sources that turned out to be globular clusters. Compact sources are now explicitly protected from smoothing - 2374 of them on NGC 2030. The close-up revealed a real design error, caught by its own assertion. Forcing a square crop cannot contain a target wider than the frame is tall, which is the normal case for a nebula in a wide field, and the assertion fired rather than silently cutting the subject in half. Crops are no longer square, and when a target genuinely fills the field the close-up is skipped with that said plainly - re-saving image 3 under a name claiming to be a close-up would be worse than producing nothing. science.py adds the measurements that generalise to any target: photometric calibration from the field's own Gaia stars, the limiting magnitude actually reached, a source catalogue with calibrated magnitudes, an annotated field placed by the plate solution, and a radial surface-brightness profile. Object-specific analyses stay hand-driven, because a cluster survey suits a galaxy and is meaningless for a nebula. All of it depends on astrometry, so an unsolved session gets no science and says so instead of quietly producing less. NGC 2030 calibrates to a zero point of 24.794 with 0.202 mag scatter on 917 stars, 3470 sources, limiting G of 18.2.
170 lines
6.3 KiB
Python
170 lines
6.3 KiB
Python
"""The push-button entry point: process a session, or a whole archive.
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python run.py # process $ASTRO_SESSION
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python run.py PATH # process one session
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python run.py --all PATH # find and process every session
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python run.py --stage register PATH # run one stage
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python run.py --force PATH # ignore existing outputs
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Stages run in order and each is skipped when its output already exists, so an
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interrupted run continues rather than starting again. A failure in one stage of
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one session does not stop the others: the failure is recorded and the batch
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carries on, because in a batch of twenty the useful outcome is nineteen results
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and one clear error, not nothing.
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"""
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import argparse
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import os
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import sys
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import time
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import traceback
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import layout
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import session as session_mod
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STAGES = ("ingest", "measure", "register", "solve", "colour",
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"science", "report")
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def _exists(path):
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return os.path.exists(path) and os.path.getsize(path) > 0
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def process(root, stages=STAGES, force=False, verbose=True):
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"""Run the requested stages for one session. Returns a result summary."""
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s = session_mod.Session(root)
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result = {"root": root, "stages": {}, "ok": True}
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t0 = time.time()
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if "ingest" in stages:
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s.ingest(verbose=verbose)
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s.scan(verbose=verbose)
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if not s.frames:
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print(" no light frames found - skipping")
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result["ok"] = False
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result["error"] = "no frames"
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return result
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s.save_manifest()
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result["target"] = s.target
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result["telescope"] = s.telescope
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result["palette"] = s.palette
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result["frames"] = len(s.frames)
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results = {}
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try:
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if "measure" in stages:
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import measure
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cache = os.path.join(root, layout.INTERMEDIATES, "_measure.npz")
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if force or not _exists(cache):
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print(" measure")
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measure.run(s, force=force, verbose=False)
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else:
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print(" measure (cached)")
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_, results["stats"] = measure.load(s)
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if "register" in stages:
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import measure
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import register
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masters = os.path.join(root, layout.MASTERS)
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have = _exists(os.path.join(masters, f"master-{s.filters[0]}.fit"))
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if force or not have:
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print(" register")
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_, ref = register.run(s, verbose=verbose)
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else:
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print(" register (cached)")
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_, st = measure.load(s)
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ref = measure.choose_reference(s, st)
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results["reference"] = ref
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if "solve" in stages:
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import astrometry
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print(" solve")
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try:
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results["solve"] = astrometry.run(s, verbose=verbose)
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except Exception as exc: # noqa: BLE001
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# An unsolved session still produces images; record and go on.
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print(f" solve failed: {type(exc).__name__}: {exc}")
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results["solve"] = None
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if "colour" in stages:
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import colour
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print(" colour")
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results["final"] = colour.run(s, verbose=verbose)
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if "science" in stages:
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import science
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print(" science")
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try:
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results["science"] = science.run(s, verbose=verbose)
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except Exception as exc: # noqa: BLE001
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# Measurements are a bonus on top of the images; losing them
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# must not lose the pictures too.
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print(f" science failed: {type(exc).__name__}: {exc}")
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results["science"] = None
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if "report" in stages:
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import report
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print(" report")
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report.write(s, results, verbose=verbose)
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except Exception as exc: # noqa: BLE001
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result["ok"] = False
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result["error"] = f"{type(exc).__name__}: {exc}"
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print(f" FAILED: {result['error']}")
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if verbose:
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traceback.print_exc(limit=3)
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result["solved"] = bool(results.get("solve"))
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result["seconds"] = time.time() - t0
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return result
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def main(argv=None):
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ap = argparse.ArgumentParser(description=__doc__)
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ap.add_argument("path", nargs="?", default=None,
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help="session directory, or a tree with --all")
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ap.add_argument("--all", action="store_true",
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help="find and process every session beneath PATH")
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ap.add_argument("--stage", action="append", choices=STAGES,
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help="run only this stage (repeatable)")
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ap.add_argument("--force", action="store_true",
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help="re-run stages even if their output exists")
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args = ap.parse_args(argv)
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root = args.path or layout.SESSION
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stages = tuple(args.stage) if args.stage else STAGES
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targets = session_mod.discover(root) if args.all else [root]
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if not targets:
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print(f"no sessions found under {root}")
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return 1
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print(f"{len(targets)} session(s), stages: {', '.join(stages)}\n")
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results = []
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for i, t in enumerate(targets, 1):
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print(f"[{i}/{len(targets)}] {os.path.relpath(t, root)}")
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results.append(process(t, stages=stages, force=args.force))
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print()
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print("=" * 72)
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print(f"{'target':16s} {'scope':16s} {'palette':8s} "
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f"{'frames':>6s} {'solved':>7s} {'time':>7s}")
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for r in results:
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if not r.get("ok") and "target" not in r:
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print(f"{os.path.basename(r['root']):16s} "
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f"FAILED: {r.get('error', 'unknown')}")
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continue
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print(f"{r.get('target', '?')[:16]:16s} "
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f"{r.get('telescope', '?')[:16]:16s} "
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f"{r.get('palette', '?'):8s} {r.get('frames', 0):6d} "
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f"{'yes' if r.get('solved') else 'no':>7s} "
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f"{r.get('seconds', 0):6.0f}s")
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failed = [r for r in results if not r.get("ok")]
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unsolved = [r for r in results if r.get("ok") and not r.get("solved")]
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print(f"\n{len(results) - len(failed)}/{len(results)} processed"
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+ (f", {len(unsolved)} without an astrometric solution" if unsolved
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else ""))
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return 1 if failed else 0
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if __name__ == "__main__":
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sys.exit(main())
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