Column 1 float64 0.6 4.75 | Column 2 float64 2.11 3.45 | Column 3 float64 0.05 0.78 | Column 4 stringlengths 18 33 |
|---|---|---|---|
0.6 | 2.685 | 0.054 | TRIS (open square) |
0.82 | 2.772 | 0.266 | TRIS (open square) |
1.28 | 3.45 | 0.78 | Raghunathan & Subrahmanyan (2000) |
1.41 | 2.11 | 0.38 | Levin et al. (1988) |
1.425 | 2.65 | 0.33 | Staggs & al. (1996) |
1.47 | 2.26 | 0.19 | Bensadoun et al. (1993) |
2 | 2.55 | 0.14 | Bersanelli et al. (1994) |
2.5 | 2.62 | 0.25 | Sironi et al. (1984) |
2.5 | 2.518 | 0.395 | TRIS (open square) |
2.5 | 2.79 | 0.15 | Sironi & Bonelli (1986) |
2.5 | 2.5 | 0.25 | Sironi et al. (1991) |
3.7 | 2.59 | 0.13 | De Amici et al. (1988) |
3.8 | 2.56 | 0.08 | De Amici et al. (1990) |
3.8 | 2.71 | 0.07 | De Amici et al. (1990) |
3.8 | 2.64 | 0.07 | De Amici et al. (1991) |
4.75 | 2.71 | 0.2 | Mandolesi et al. (1984) |
4.75 | 2.7 | 0.07 | Mandolesi et al. (1986) |
TRIS low-frequency CMB temperature compilation
Regenerate the preview from the published Parquet data with
python tools/render_hub_preview.py tris datasets/tris/preview.png.
This dataset contains the 17-row CMB-temperature compilation served by LAMBDA
on its TRIS experiment page. Three rows are TRIS measurements, marked TRIS (open square) by the source. The remaining fourteen rows retain the literature
attributions written in the source table.
How to use
python -m venv .venv && .venv/bin/pip install datasets huggingface_hub pyarrow
from datasets import load_dataset
dataset = load_dataset("astro-legacy-archive/tris", "T_CMB-vs-Freq_CAPTION", split="train[:1]", columns=["Column 1", "Column 2", "Column 3", "Column 4"])
row = dataset[0]
print(row["Column 1"], row["Column 2"], row["Column 3"], row["Column 4"])
0.6 2.685 0.054 TRIS (open square)
import json
from huggingface_hub import hf_hub_download
import pyarrow.parquet as pq
path = hf_hub_download("astro-legacy-archive/tris", "T_CMB-vs-Freq_CAPTION.parquet", repo_type="dataset")
print(json.loads(pq.read_schema(path).metadata[b"statistical_product"])["schema"])
astro-legacy-archive/statistical-product
Dataset structure
The source has no column header, so its four logical fields use the numbered
labels Column 1 through Column 4.
| source column | type | unit | meaning |
|---|---|---|---|
Column 1 |
float64 | GHz | Observing frequency |
Column 2 |
float64 | K | CMB temperature |
Column 3 |
float64 | K | Published plus-or-minus temperature uncertainty |
Column 4 |
string | — | Measurement attribution as written in the source row |
Rows remain in source order. Column 4 preserves the complete attribution,
including punctuation and the source's TRIS (open square) marker. No
experiment code or TRIS-selection flag is added.
Provenance
LAMBDA supplies the compilation from the TRIS experiment page.
The source file, T_CMB-vs-Freq_CAPTION.txt,
is 1,034 bytes with SHA-256
2b526b1d466393d5e851caec9257c25182ee070972ab81650caaec9b3c99b691.
The first three source lines describe the compilation and state that TRIS data are marked as open squares.
Considerations for use
- This is the comparison compilation served on the TRIS page, not a table containing only TRIS measurements.
- The measurements come from multiple experiments and publications; use
Column 4to retain that provenance when selecting or comparing rows. - The source supplies symmetric plus-or-minus values in
Column 3. Consult the cited publications for experiment-specific error models.
Licensing and credit
HEASARC states verbatim:
HEASARC materials are all available freely for your use.
This is a free-use statement rather than a named formal licence.
No explicit licence or requested credit line is published on the checked TRIS page.
Citation
The TRIS experiment and its temperature results are described by Zannoni et al. (2008), The Astrophysical Journal, 688, 12–23, doi:10.1086/592133, arXiv:0806.1415.
Errata and requests
To report an erratum, propose a correction, or ask a question about this
dataset, open a Discussion or Pull Request in its Community tab; posting
requires a free Hugging Face account. Dataset requests and archive-wide
questions may be posted in the
README space's Community tab
or the Community tab of any dataset. Confirmed corrections are made in the
source conversion tools and published by rebuilding the dataset.
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