juliensimon commited on
Commit
853a9c5
·
verified ·
1 Parent(s): b8e06a7

Update ICRF3 reference frame: 3,417 sources

Browse files
Files changed (3) hide show
  1. README.md +68 -34
  2. banner.jpg +3 -0
  3. data/icrf3_reference_frame.parquet +2 -2
README.md CHANGED
@@ -3,7 +3,7 @@ license: cc-by-4.0
3
  pretty_name: "ICRF3 Celestial Reference Frame"
4
  language:
5
  - en
6
- description: "The third International Celestial Reference Frame (ICRF3) the fundamental coordinate reference frame for astronomy, defined by extragalactic radio sources observed by VLBI."
7
  task_categories:
8
  - tabular-classification
9
  tags:
@@ -14,39 +14,66 @@ tags:
14
  - quasar
15
  - vlbi
16
  - open-data
 
 
17
  size_categories:
18
  - 1K<n<10K
 
 
 
 
 
 
19
  ---
20
 
21
  # ICRF3 Celestial Reference Frame
22
 
23
- The third International Celestial Reference Frame (ICRF3) is **the** fundamental coordinate
24
- reference frame for astronomy, adopted by the International Astronomical Union in 2018.
25
- It is defined by **4,588** extragalactic radio sources (primarily quasars) observed by
26
- Very Long Baseline Interferometry (VLBI). This dataset contains **3,417** sources
27
- with variability and structure parameters from the defining catalog.
 
 
 
28
 
29
  ## Dataset description
30
 
31
- The ICRF is the realization of the International Celestial Reference System (ICRS) at
32
- radio wavelengths. ICRF3 is based on nearly 40 years of VLBI observations and provides
33
- the most accurate positions of extragalactic objects, with median positional uncertainties
34
- of ~30 microarcseconds for the defining sources. These sources serve as the fixed reference
35
- points against which all other celestial positions are measured.
36
 
37
- ## Schema
38
 
39
- | Column | Type | Description |
40
- |--------|------|-------------|
41
- | `iers_name` | string | IERS designation of the source |
42
- | `ra_deg` | float64 | Right ascension (degrees, ICRS) |
43
- | `dec_deg` | float64 | Declination (degrees, ICRS) |
44
 
45
- Additional columns from the catalog are included with snake_case names.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
46
 
47
  ## Quick stats
48
 
49
- - **3,417** ICRF3 sources
 
 
 
 
50
 
51
  ## Usage
52
 
@@ -56,37 +83,44 @@ from datasets import load_dataset
56
  ds = load_dataset("juliensimon/icrf3-reference-frame", split="train")
57
  df = ds.to_pandas()
58
 
59
- # All-sky distribution
60
- print(f"{len(df):,} ICRF3 reference sources")
61
- print(f"RA range: {df['ra_deg'].min():.2f} to {df['ra_deg'].max():.2f} deg")
62
- print(f"Dec range: {df['dec_deg'].min():.2f} to {df['dec_deg'].max():.2f} deg")
 
 
 
 
 
 
 
 
 
 
 
 
 
63
  ```
64
 
65
  ## Data source
66
 
67
- Xu, M.H., Anderson, J.M., Heinkelmann, R., et al. (2019), "Structure Effects for
68
- 3417 Celestial Reference Frame Radio Sources", ApJS, 242, 5.
69
- Accessed via [VizieR](https://vizier.cds.unistra.fr/), CDS Strasbourg.
70
 
71
  ## Related datasets
72
 
73
- - [pulsar-catalog](https://huggingface.co/datasets/juliensimon/pulsar-catalog) -- ATNF Pulsar Catalogue
74
- - [open-star-clusters](https://huggingface.co/datasets/juliensimon/open-star-clusters) -- Open Star Clusters
75
-
76
- ## Pipeline
77
 
78
- Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets)
79
 
80
  ## Citation
81
 
82
  ```bibtex
83
  @dataset{icrf3_reference_frame,
84
- author = {Simon, Julien},
85
  title = {ICRF3 Celestial Reference Frame},
 
86
  year = {2026},
87
- publisher = {Hugging Face},
88
  url = {https://huggingface.co/datasets/juliensimon/icrf3-reference-frame},
89
- note = {Based on Xu et al. (2019), ApJS, 242, 5 via VizieR CDS Strasbourg}
90
  }
91
  ```
92
 
 
3
  pretty_name: "ICRF3 Celestial Reference Frame"
4
  language:
5
  - en
6
+ description: "The third International Celestial Reference Frame (ICRF3) is the fundamental coordinate reference frame for astronomy, adopted by the International Astronomical Union in 2018. It is defined by extraga"
7
  task_categories:
8
  - tabular-classification
9
  tags:
 
14
  - quasar
15
  - vlbi
16
  - open-data
17
+ - tabular-data
18
+ - parquet
19
  size_categories:
20
  - 1K<n<10K
21
+ configs:
22
+ - config_name: default
23
+ data_files:
24
+ - split: train
25
+ path: data/icrf3_reference_frame.parquet
26
+ default: true
27
  ---
28
 
29
  # ICRF3 Celestial Reference Frame
30
 
31
+
32
+ <div align="center">
33
+ <img src="banner.jpg" alt="The gamma-ray sky as seen by NASA's Fermi telescope" width="400">
34
+ <p><em>Credit: NASA/DOE/Fermi LAT Collaboration</em></p>
35
+ </div>
36
+
37
+
38
+ *Part of a [dataset collection](https://huggingface.co/collections/juliensimon/astronomy-datasets-69c24caf2f17e36128946743) on Hugging Face.*
39
 
40
  ## Dataset description
41
 
42
+ The third International Celestial Reference Frame (ICRF3) is the fundamental coordinate reference frame for astronomy, adopted by the International Astronomical Union in 2018. It is defined by extragalactic radio sources (primarily quasars) observed by Very Long Baseline Interferometry (VLBI). This dataset contains structure parameters from Xu et al. (2019) that quantify each source's compactness and positional stability.
 
 
 
 
43
 
44
+ The ICRF is the realization of the International Celestial Reference System (ICRS) at radio wavelengths. ICRF3 is based on nearly 40 years of VLBI observations and provides the most accurate positions of extragalactic objects, with median positional uncertainties of ~30 microarcseconds for the defining sources.
45
 
46
+ The ICRF is conceptually the modern replacement for the FK5 optical fundamental star catalog. While FK5 was limited by the proper motions and parallaxes of nearby stars, the ICRF uses extremely distant quasars whose apparent motions are negligible, providing a quasi-inertial reference frame tied to the large-scale structure of the universe. Source structure — the extended radio jets that cause apparent position shifts — is the dominant systematic error in VLBI astrometry. This dataset includes structure index parameters that quantify each source's compactness, which is critical for selecting calibrators for VLBI observations and for space geodesy applications.
 
 
 
 
47
 
48
+
49
+ ## Schema
50
+
51
+ | Column | Type | Description | Sample | Null % |
52
+ |--------|------|-------------|--------|--------|
53
+ | `iers_name` | object | Official IERS source designation in B1950 sexagesimal format (HHMM+DDd, e.g. '0002-478'); this is the authoritative name used in geodetic VLBI scheduling, Earth orientation monitoring, and spacecraft navigation | 0305+039 | 0.0% |
54
+ | `closure_amplitude_rms_n` | float64 | RMS of closure amplitude residuals for narrow-field VLBI imaging (dimensionless); measures source compactness — lower values indicate more point-like sources with more stable astrometric positions | 0.41 | 0.0% |
55
+ | `closure_amplitude_rms_b` | float64 | RMS of closure amplitude residuals for broad-field imaging (dimensionless); sensitive to extended jet structure on longer baselines | 0.44 | 0.0% |
56
+ | `closure_amplitude_rms_u` | float64 | RMS of closure amplitude residuals for uniform weighting (dimensionless); intermediate sensitivity between narrow and broad-field | 0.47 | 0.0% |
57
+ | `n_closure_amplitude` | Int64 | Number of closure amplitude measurements used in the structure analysis; more measurements yield more reliable structure diagnostics | 8110 | 0.0% |
58
+ | `closure_phase_rms_n_deg` | float64 | RMS of closure phase residuals for narrow-field imaging in degrees; closure phase is immune to antenna-based errors, making it a robust measure of source asymmetry | 18.8 | 0.0% |
59
+ | `closure_phase_rms_b_deg` | float64 | RMS of closure phase residuals for broad-field imaging in degrees; elevated values indicate resolved jet structure | 19.4 | 0.0% |
60
+ | `closure_phase_rms_u_deg` | float64 | RMS of closure phase residuals for uniform weighting in degrees | 22.8 | 0.0% |
61
+ | `n_closure_phase` | Int64 | Number of closure phase measurements used in the structure analysis | 1639 | 0.0% |
62
+ | `n_sessions` | Int64 | Number of VLBI observing sessions in which this source was observed; well-observed sources have hundreds of sessions over decades | 36 | 0.0% |
63
+ | `n_observations` | Int64 | Total number of individual VLBI observations (delay measurements) across all sessions; high counts indicate heavily-used calibrator sources | 1072 | 0.0% |
64
+ | `flag_icrf2` | object | Source classification flag in ICRF2: 'D' = defining, 'N' = non-defining, 'S' = special handling; null if not in ICRF2 | O | 0.0% |
65
+ | `flag_icrf3` | object | Source classification flag in ICRF3: 'D' = defining (303 sources with the most stable positions), 'S' = special handling (688 sources with extended structure); null for non-defining sources | D | 0.0% |
66
+ | `icrf2_structure_index` | Int64 | Source structure index from ICRF2 (1-4 scale); 1 = very compact, 4 = highly extended; used for calibrator selection in VLBI observations | 1 | 0.0% |
67
+ | `ra_deg` | float64 | Right ascension of the extragalactic radio source in degrees, ICRS J2000.0 epoch; range 0-360; defining sources carry positional accuracies of ~30 microarcseconds | 47.109265834 | 0.0% |
68
+ | `dec_deg` | float64 | Declination of the extragalactic radio source in degrees, ICRS J2000.0; range -90 to +90; southern hemisphere coverage is sparser due to fewer southern VLBI stations | 4.110916884 | 0.0% |
69
 
70
  ## Quick stats
71
 
72
+ - **3,417** ICRF3 radio sources
73
+ - **283** defining sources (highest positional stability)
74
+ - **0** special-handling sources (extended jet structure)
75
+ - Median observing sessions per source: **4**
76
+ - Most-observed source: **439,113** individual VLBI measurements
77
 
78
  ## Usage
79
 
 
83
  ds = load_dataset("juliensimon/icrf3-reference-frame", split="train")
84
  df = ds.to_pandas()
85
 
86
+ # Defining sources — the foundation of the celestial reference frame
87
+ defining = df[df["flag_icrf3"] == "D"]
88
+ print(f"{len(defining)} ICRF3 defining sources")
89
+
90
+ # Sky distribution of defining vs. non-defining sources
91
+ import matplotlib.pyplot as plt
92
+ fig, ax = plt.subplots(figsize=(12, 6))
93
+ other = df[df["flag_icrf3"] != "D"]
94
+ ax.scatter(other["ra_deg"], other["dec_deg"], s=1, alpha=0.3, label="Non-defining")
95
+ ax.scatter(defining["ra_deg"], defining["dec_deg"], s=5, c="red", label="Defining")
96
+ ax.set_xlabel("RA (deg)")
97
+ ax.set_ylabel("Dec (deg)")
98
+ ax.invert_xaxis()
99
+ ax.legend()
100
+ ax.set_title("ICRF3 All-Sky Distribution")
101
+ plt.tight_layout()
102
+ plt.show()
103
  ```
104
 
105
  ## Data source
106
 
107
+ https://vizier.cds.unistra.fr/viz-bin/VizieR-3?-source=J/ApJS/242/5
 
 
108
 
109
  ## Related datasets
110
 
111
+ - [juliensimon/pulsar-catalog](https://huggingface.co/datasets/juliensimon/pulsar-catalog)
 
 
 
112
 
113
+ - [juliensimon/open-star-clusters](https://huggingface.co/datasets/juliensimon/open-star-clusters)
114
 
115
  ## Citation
116
 
117
  ```bibtex
118
  @dataset{icrf3_reference_frame,
 
119
  title = {ICRF3 Celestial Reference Frame},
120
+ author = {juliensimon},
121
  year = {2026},
 
122
  url = {https://huggingface.co/datasets/juliensimon/icrf3-reference-frame},
123
+ publisher = {Hugging Face}
124
  }
125
  ```
126
 
banner.jpg ADDED

Git LFS Details

  • SHA256: d6fb662edbb2eecb382acdb0f2a75ed4481ae598f54c8bdaf68e53025c78a47e
  • Pointer size: 131 Bytes
  • Size of remote file: 157 kB
data/icrf3_reference_frame.parquet CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e687b06eaf435ff0f9f5adbfa3e32a539e6ad0ac41c3140b6418e6fbc7eff168
3
- size 188499
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9688e110c83d5cd26f7b751129ab7b64d14e71222145443c7b46e6e9e859ec56
3
+ size 146975