laurence
5286a2e81b
The scripts that processed the NGC 5128 session of 2026-07-21 previously lived inside the data directory and addressed it with absolute paths. Code and data are now separated: the code lives here, and a session is located at runtime through the ASTRO_SESSION environment variable. layout.py is what makes that work. It maps a FILENAME to the subdirectory that file belongs in, using the same rules the session directories are organised with, so a script can go on asking for 'master-Red.fit' or '_stars.npz' without any call site knowing the directory structure. Anything unrecognised resolves to the session root, which is visible and correctable rather than silently wrong. restructure.py reorganises a flat session directory into that layout. It is idempotent and dry-run by default. The 50 session scripts are kept as they were run rather than tidied into a library. They were written in sequence as the work went along, several of them by parallel agents, and they show it - but they are the honest provenance of a published set of results, and the productionised pipeline should be able to reproduce those results exactly. Verified before committing: all 51 files compile without warnings, and verify_core.py, closeup.py and triptych.py were run end to end against the reorganised session, correctly finding inputs across calibrated/, stacks/masters/ and final/ and writing outputs back to the right places.
32 lines
1.4 KiB
Python
32 lines
1.4 KiB
Python
"""Gaia DR3 astrometry via the VizieR mirror I/355/gaiadr3 (the ESA Gaia archive
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was down for maintenance). Same rationale as gc-gaia-astrom.py."""
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import os, numpy as np
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from astroquery.vizier import Vizier
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from astropy.coordinates import SkyCoord
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import astropy.units as u
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import layout
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S = layout.SESSION
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c = SkyCoord(201.36404, -43.01969, unit="deg")
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cols = ["RA_ICRS", "DE_ICRS", "Source", "Gmag", "BPmag", "RPmag", "BP-RP",
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"Plx", "e_Plx", "pmRA", "e_pmRA", "pmDE", "e_pmDE", "RUWE"]
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v = Vizier(columns=cols, row_limit=-1, column_filters={"Gmag": "<21.0"})
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t = v.query_region(c, radius=0.42 * u.deg, catalog="I/355/gaiadr3")[0]
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print("rows:", len(t), t.colnames)
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d = {}
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for k, name in [("ra", "RA_ICRS"), ("dec", "DE_ICRS"), ("g", "Gmag"),
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("bp", "BPmag"), ("rp", "RPmag"), ("bprp", "BP-RP"),
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("plx", "Plx"), ("eplx", "e_Plx"), ("pmra", "pmRA"),
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("epmra", "e_pmRA"), ("pmdec", "pmDE"), ("epmdec", "e_pmDE"),
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("ruwe", "RUWE")]:
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if name in t.colnames:
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col = t[name]
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d[k] = np.array(col.filled(np.nan) if hasattr(col, "filled") else col, dtype=float)
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np.savez(layout.path("_gaia_astrom.npz"), **d)
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g = d["g"]
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print("saved. G<18 %d | 18-20 %d | >=20 %d" %
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((g < 18).sum(), ((g >= 18) & (g < 20)).sum(), (g >= 20).sum()))
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print("finite plx %d, finite pm %d" % (np.isfinite(d["plx"]).sum(), np.isfinite(d["pmra"]).sum()))
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