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juliensimon/first-radio-catalog

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Hugging Face2026-04-10 更新2026-03-29 收录
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--- license: cc-by-4.0 pretty_name: "FIRST Radio Survey Catalog" language: - en description: "The Faint Images of the Radio Sky at Twenty-cm (FIRST) survey catalog, covering 10,575 square degrees at 1.4 GHz with 5 arcsecond resolution using the NRAO VLA. The FIRST survey used the VLA in its B" task_categories: - tabular-classification - tabular-regression tags: - space - radio - first - vla - astronomy - 1400mhz - open-data - tabular-data - parquet size_categories: - 100K<n<1M configs: - config_name: default data_files: - split: train path: data/first_radio_sources.parquet default: true --- # FIRST Radio Survey Catalog <div align="center"> <img src="banner.jpg" alt="Deep Space Network antenna at Goldstone" width="400"> <p><em>Credit: NASA/JPL-Caltech</em></p> </div> *Part of a [dataset collection](https://huggingface.co/collections/juliensimon/astronomy-datasets-69c24caf2f17e36128946743) on Hugging Face.* ## Dataset description The Faint Images of the Radio Sky at Twenty-cm (FIRST) survey catalog, covering 10,575 square degrees at 1.4 GHz with 5 arcsecond resolution using the NRAO VLA. The FIRST survey used the VLA in its B-configuration to produce a map of the radio sky at 1.4 GHz with ~5" resolution and a typical rms of 0.15 mJy/beam. The catalog includes source positions, peak and integrated flux densities, and fitted source sizes. The FIRST survey was designed as a radio counterpart to the Palomar Observatory Sky Survey, targeting the north and south Galactic caps where optical and infrared surveys provide the richest multi-wavelength context. Its combination of sub-arcsecond positional accuracy and milliJansky sensitivity makes it ideally suited for identifying the radio counterparts of optically selected quasars, galaxies, and other extragalactic objects. Unlike the broader but lower-resolution NVSS, FIRST resolves the internal structure of extended radio sources, revealing jets, lobes, and hotspots in radio galaxies. The survey's 5-arcsecond beam allows morphological classification of sources and reliable separation of core-dominated and lobe-dominated radio AGN. ## Schema | Column | Type | Description | Sample | Null % | |--------|------|-------------|--------|--------| | `source_name` | object | FIRST source identifier in the format "JHHMMSS.s+DDMMSS" derived from J2000 position | J030004.5+000946 | 0.0% | | `ra_deg` | float64 | ICRS J2000.0 right ascension in degrees (0-360); positional accuracy ~0.5 arcsec | 45.01904166666666 | 0.0% | | `dec_deg` | float64 | ICRS J2000.0 declination in degrees; survey covers ~-10 to +62 deg | 0.1630138888888888 | 0.0% | | `peak_flux_mjy` | float64 | Peak surface brightness at 1.4 GHz in mJy/beam; detection threshold ~0.75 mJy/beam | 1.04 | 0.0% | | `integrated_flux_mjy` | float64 | Total integrated flux density from Gaussian fit in mJy; use for luminosity calculations | 0.97 | 0.0% | | `rms_mjy` | float64 | Local rms noise at source position in mJy/beam; typically ~0.15 mJy/beam | 0.104 | 0.0% | | `major_axis_arcsec` | float64 | Fitted (convolved) major-axis FWHM in arcsec; includes 5-arcsec beam | 0.39 | 0.0% | | `minor_axis_arcsec` | float64 | Fitted (convolved) minor-axis FWHM in arcsec | 0.0 | 0.0% | | `position_angle_deg` | float64 | Fitted position angle of major axis in degrees east from north (0-180) | 119.1 | 0.0% | | `deconv_major_arcsec` | float64 | Deconvolved major axis in arcsec; 0 for unresolved point sources | 6.17 | 0.0% | | `deconv_minor_arcsec` | float64 | Deconvolved minor axis in arcsec; 0 for unresolved sources | 5.28 | 0.0% | | `deconv_pa_deg` | float64 | Deconvolved position angle in degrees; meaningful only when deconv_major_arcsec > 0 | 169.1 | 0.0% | | `is_resolved` | bool | Derived: True if deconv_major_arcsec > 0 (source resolved above 5-arcsec beam) | True | 0.0% | ## Quick stats - **946,432** radio sources at 1.4 GHz - **946,432** resolved sources (100.0% of catalog) - Median peak flux: **2.09** mJy/beam - Sky coverage: 10,575 square degrees (north + south Galactic caps) - Angular resolution: 5 arcsec (VLA B-configuration) ## Usage ```python from datasets import load_dataset ds = load_dataset("juliensimon/first-radio-catalog", split="train") df = ds.to_pandas() # Flux distribution (log scale — most sources are faint) import matplotlib.pyplot as plt fig, axes = plt.subplots(1, 2, figsize=(14, 5)) df["peak_flux_mjy"].clip(upper=100).hist(bins=200, log=True, ax=axes[0]) axes[0].set_xlabel("Peak flux (mJy/beam)") axes[0].set_ylabel("Count") axes[0].set_title("FIRST Source Flux Distribution") # Sky coverage map axes[1].scatter(df["ra_deg"], df["dec_deg"], s=0.01, alpha=0.1) axes[1].set_xlabel("RA (deg)") axes[1].set_ylabel("Dec (deg)") axes[1].set_title("FIRST Survey Sky Coverage") plt.tight_layout() plt.show() # Resolved vs unresolved statistics print(f"Resolved: {df['is_resolved'].sum():,}") print(f"Unresolved: {(~df['is_resolved']).sum():,}") ``` ## Data source https://vizier.cds.unistra.fr/viz-bin/VizieR-3?-source=VIII/92 ## Citation ```bibtex @dataset{first_radio_catalog, title = {FIRST Radio Survey Catalog}, author = {juliensimon}, year = {2026}, url = {https://huggingface.co/datasets/juliensimon/first-radio-catalog}, publisher = {Hugging Face} } ``` ## License [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
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