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EHT M87 2017 calibrated visibilities
These are the Event Horizon Telescope Collaboration's low- and high-band EHT-HOPS network-calibrated Stokes I visibility products for M87 on days 095, 096, 100, and 101 of the April 2017 campaign. They are the calibrated-data release 2019-D01-01, derived from Science Release 1 and used as the primary dataset for the First M87 EHT Results. Each source file is represented by a primary configuration named verbatim from its filename stem and queryable companion configurations for its AIPS AN and AIPS FQ extensions. The primary has one row per UVFITS random group in source order.
| Target | M87, J2000, RA 187.7059307575226 deg, Dec 12.39112323919932 deg |
| Products | Four observing days, low and high band |
| Publisher averaging | βThe data are time averaged to 10 seconds and frequency averaged over all 32 intermediate frequencies (IFs).β |
| Contents | One frequency channel, four FITS polarization slots, complex data and weights |
| Random groups | 51,119 across eight configurations |
| Parquet downloads | 21,270β429,656 bytes each; 24 configurations |
The publisher reports 10-second time averaging and averaging over all 32 IFs.
Across the 51,119 source rows, stored INTTIM is 10.0 s
in 3,785 rows and shorter than 10.0 s in 47,334 rows; 10.0 s is the maximum in
every configuration.
| product | rows | INTTIM == 10.0 |
INTTIM < 10.0 |
minimum (s) | maximum (s) |
|---|---|---|---|---|---|
| 095 lo | 6,453 | 375 | 6,078 | 3.0203950405 | 10.0 |
| 095 hi | 6,458 | 540 | 5,918 | 4.3981542587 | 10.0 |
| 096 lo | 8,645 | 414 | 8,231 | 0.0642828420 | 10.0 |
| 096 hi | 9,081 | 673 | 8,408 | 1.2000000477 | 10.0 |
| 100 lo | 2,367 | 182 | 2,185 | 0.8000000119 | 10.0 |
| 100 hi | 2,610 | 251 | 2,359 | 1.2000000477 | 10.0 |
| 101 lo | 7,447 | 523 | 6,924 | 0.8000000119 | 10.0 |
| 101 hi | 8,058 | 827 | 7,231 | 1.1968640089 | 10.0 |
The quoted processing statement is from the pinned 2019-D01-01 release README.
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/eht-m87-2017", "SR1_M87_2017_095_lo_hops_netcal_StokesI", split="train[:1]", columns=["BASELINE", "DATE"])
row = dataset[0]
print(row["BASELINE"], row["DATE"])
262.0 [2457848.5, 0.03200231492519379]
import json
from huggingface_hub import hf_hub_download
import pyarrow.parquet as pq
path = hf_hub_download("astro-legacy-archive/eht-m87-2017", "SR1_M87_2017_095_lo_hops_netcal_StokesI.parquet", repo_type="dataset")
print(json.loads(pq.read_metadata(path).metadata[b"visibility"])["schema"])
astro-legacy-archive/visibility
Embedded BASELINE metadata quotes Memo 117's source rule 256 * antenna_1 + antenna_2 + 0.01 * (subarray_number - 1). Embedded DATE metadata records that its two scaled occurrences sum to Julian Date. Rows use zero-based source position: Parquet row i is random group i in source order, and the source has no row-key column. DATA retains the declared DEC β RA β unnamed length-one axis β FREQ β STOKES β COMPLEX shape, and each COMPLEX triple is real part, imaginary part, and source weight; non-positive weight denotes a flagged slot.
Dataset structure
| column | type | meaning |
|---|---|---|
UU---SIN, VV---SIN, WW---SIN |
float32 | Raw source projected-baseline coordinates; resolve physical light-travel seconds as stored * pscal + pzero using the matching visibility.random_groups.parameters record |
BASELINE |
float32 | Source AIPS baseline number |
DATE |
list[float32, 2] | Both source parameters named DATE, in PTYPE order |
INTTIM |
float32 | Integration duration in seconds |
TAU1, TAU2 |
float32 | Source parameters retained under their opaque identifiers; the checked release and AIPS memo do not define them |
DATA |
six nested fixed-size lists, lengths 1 Γ 1 Γ 1 Γ 1 Γ 4 Γ 3 | Source DEC β RA β unnamed length-one axis β FREQ β STOKES β COMPLEX array; real and imaginary are in source BUNIT JY, followed by the source weight |
Each primary configuration links, in source HDU order, to an __AIPS AN
antenna-table configuration and an __AIPS FQ frequency-table configuration.
The companion configurations preserve the source column names, FITS forms,
units, row order, values, and extension headers as ordinary queryable columns.
Their field descriptions cite
AIPS Memo 117 revised.
The AIPS AN companion contains antenna identity, station coordinates, orbital
parameters, antenna number, mount type, axis offset, feed polarization and
position-angle records, feed-calibration arrays, and the non-standard served
SEFD field. The AIPS FQ companion contains the frequency-setup identifier,
IF offset, channel separation, spectral-window width, and sideband code. Memo
117 defines SIDEBAND=-1 as lower sideband and SIDEBAND=+1 as upper
sideband. It does not define the extra SEFD column in these files.
The source PTYPE order is UU---SIN, VV---SIN, WW---SIN, BASELINE,
DATE, DATE, INTTIM, TAU1, TAU2. The two identically named source
parameters are stored unchanged, in PTYPE order, in one length-2 DATE list.
Their sum is the visibility Julian Date.
For these files, antenna numbers are floor(BASELINE / 256) and
BASELINE modulo 256. The 21 baselines use antennas 1β7. The preserved AIPS
AN table has eight records; NOSTA 8, SR, participates in no baseline. The
source-provided lo- and hi-band centre frequencies are respectively
227070703125 Hz and 229070703125 Hz. The source GROUPS axes are COMPLEX,
STOKES, FREQ, an unnamed length-one axis, RA, and DEC. Arrow nesting reads all six in reverse,
outermost-first order. A one-based axis
element j has value CRVAL + (j - CRPIX) * CDELT. For STOKES this gives the
four FITS codes -1, -2, -3, and -4. FREQ additionally uses the AIPS FQ IF
offset preserved in the linked AIPS FQ companion configuration.
The AIPS FQ header's NO_IF=1 independently records one spectral window; it
does not supply a CTYPE name for the unnamed GROUPS axis.
| config suffix | random groups | timestamps | baselines | flagged slots | Parquet bytes |
|---|---|---|---|---|---|
095_lo_hops_netcal_StokesI |
6,453 | 701 | 21 | 3,530 | 328,664 |
095_hi_hops_netcal_StokesI |
6,458 | 701 | 21 | 3,540 | 322,296 |
096_lo_hops_netcal_StokesI |
8,645 | 900 | 21 | 4,262 | 420,347 |
096_hi_hops_netcal_StokesI |
9,081 | 900 | 21 | 4,428 | 429,656 |
100_lo_hops_netcal_StokesI |
2,367 | 186 | 21 | 1,106 | 166,323 |
100_hi_hops_netcal_StokesI |
2,610 | 186 | 21 | 1,200 | 172,817 |
101_lo_hops_netcal_StokesI |
7,447 | 781 | 21 | 3,142 | 367,022 |
101_hi_hops_netcal_StokesI |
8,058 | 801 | 21 | 3,414 | 383,958 |
For every source file, its AIPS AN companion is 45,910 bytes and its AIPS FQ companion is 21,270 bytes.
Across the eight AIPS AN tables, all 64 rows have SEFD=0.0, ORBPARM=0.0,
MNTSTA=0, POLTYA=R, POLTYB=L, POLAA=0.0, and POLAB=90.0. All eight
AIPS FQ rows have SIDEBAND=1. These are measured source values. Memo 117
defines mount code 0 as alt-azimuth, R and L as the feed polarization
codes, POLAA and POLAB in degrees, and sideband code +1 as upper
sideband. ORBPARM is the source orbital-parameter field. The checked memo and
release sources supply no definition or zero-value interpretation for SEFD.
The source represents an estimated Stokes I product in all four polarization slots. RR and LL both carry an estimated Stokes I value; RL and LR and their errors were deliberately set to zero by the publisher. The slots are not four independent polarization measurements. RR and LL measurement errors are each sqrt(2) times the statistical error for Stokes I. A non-positive source weight marks a flagged value. Infinite weights are source values, not nulls.
Memo 117 defines the weight component in Jyβ2. In the publisher's pinned
day-095 low-band text product,
all 6,453 reported Isigma values satisfy
Isigma = 1 / sqrt(2 * RR_weight) when compared with the positive source
weights. The maximum absolute difference is 1.1186823023479064e-08 Jy and the
maximum relative difference is 2.4738604812023641e-06. No derived uncertainty
is stored in this dataset.
The publisher says independent flux calibration used estimated station
sensitivities during the campaign. Paper III describes validation and estimated
systematic errors, with additional details in Wielgus et al. (2019).
The pinned
2019-D01-02 imaging release
also cautions that these single-precision Stokes-I products differ slightly
from the dual-polarization data used in Paper IV.
The same pinned repository provides sibling derived
csv/
and
txt/
forms, their conversion scripts, the top-level
run.sh,
and three convenience tarballs for UVFITS, CSV and text.
Provenance
The eight UVFITS files total 4,495,680 bytes and are pinned to release commit
27ae76aacb9067a83388395c3826012b97aac371.
| source file | bytes | SHA-256 |
|---|---|---|
SR1_M87_2017_095_lo_hops_netcal_StokesI.uvfits |
567,360 | 97492ee1146b05e12b1783e6c9a8253a0f50d789835286ffcc3ed5d248d51a8e |
SR1_M87_2017_095_hi_hops_netcal_StokesI.uvfits |
567,360 | a11a874bdbf205089192b5270abc5894ad85e4ab54f0f677e3280c5639ea3e0d |
SR1_M87_2017_096_lo_hops_netcal_StokesI.uvfits |
751,680 | f3394b2c272ba92980c21e3522987344f9175a78c333648a36458c917216c365 |
SR1_M87_2017_096_hi_hops_netcal_StokesI.uvfits |
786,240 | 5bc42247ccd01b58460d95e8c17f91e337c79ffe99a0718aacf0a91c77ad24ec |
SR1_M87_2017_100_lo_hops_netcal_StokesI.uvfits |
224,640 | ee90ca5aec0bd8ed27f5ea13c941ae3f24c188d5c8a9aa87ab4b5606f57334be |
SR1_M87_2017_100_hi_hops_netcal_StokesI.uvfits |
244,800 | 76104537313cd6879c497901f313bad667f4608c48df961e67ac5615d84b2c00 |
SR1_M87_2017_101_lo_hops_netcal_StokesI.uvfits |
650,880 | 697af2bb3bbf732115108ffefacd3e59e307f38fe685c3c4579146b0bd661298 |
SR1_M87_2017_101_hi_hops_netcal_StokesI.uvfits |
702,720 | 618c3019f60e88268980267a9db68f638b379a85842d83c06003d28550d191f5 |
Rebuild from the repository root at conversion commit
9ed9f9568026b7901f1a89102a6cfa08f3444e08:
python tools/make_eht_m87_visibility.py --out /var/tmp/will/eht-m87-2017/build --source /var/tmp/will/eht-m87-2017/source --provenance-commit 9ed9f9568026b7901f1a89102a6cfa08f3444e08
Each file carries a versioned visibility metadata document containing field
and axis definitions, the ordered random-group parameter definitions, complete
FITS headers, the ordered companion-configuration manifest, source provenance,
credit, and regeneration command. PyArrow schema inspection exposes field
descriptions and their structured definition, unit and decode records;
load_dataset retains types but strips field metadata. The loaded
primary table contains the raw, unscaled random parameters, both source DATE
occurrences in one length-2 field, and DATA with every declared source axis at
its declared length. Reconstruction joins the complete three-configuration set
and restores the source parameter definitions and array shape, every random
parameter occurrence, the full group array, and each auxiliary bintable with
identical dtype, shape, order, headers, and values. FITS container serialisation
and padding are outside that comparison.
Licensing and credit
The pinned release states:
The data files in this data set are licensed under the ODC-PDDL license https://www.opendatacommons.org/licenses/pddl/1.0/index.html.
The release publishes this credit line and no separately worded requested acknowledgement:
Authors: The Event Horizon Telescope Collaboration et al.
Citations
The release names First M87 EHT Results III: Data Processing and Calibration as its primary reference. It also cites the complete First M87 EHT Results series: I, II, IV, V, and VI.
The release also cites the reduction and calibration papers Blackburn et al. (2019), arXiv:1903.08832 and Janssen et al. (2019), arXiv:1902.01749. The same pinned release reference list includes Issaoun et al. (2017), EHT Memo 2017-CE-02, Janssen et al. (2019), EHT Memo 2019-CE-01, and Wielgus et al. (2019), EHT Memo 2019-CE-02.
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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