Open data
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MeerKAT radio telescope visibility data for the radio galaxy ESO 137-006, located in the
Norma galaxy cluster (Abell 3627) at a distance of approximately 70 megaparsecs. The
observations cover two frequency bands (980-1080 MHz and 1356-1440 MHz) and comprise
14 hours of on-target integration time taken in May 2019 using all 64 MeerKAT antennas.
These data led to the discovery of multiple collimated synchrotron threads (CSTs) - narrow,
thread-like structures of radio emission connecting the galaxy's radio lobes - a configuration
not previously observed in radio galaxies (Ramatsoku et al. 2020, A&A 636, L1).
The data are stored in Zarr format, implementing the CASA Measurement Set v2 data model.
They are cloud-native and can be accessed directly from S3 using the dask-ms Python library
without prior download. The dataset consists of three Measurement Sets: one primary
calibrator and two target-field observations. Each target dataset is about 1.1TB compressed
(~3TB uncompressed).
A[...]
Overview
MeerKAT radio telescope visibility data for the radio galaxy ESO 137-006, located in the Norma galaxy cluster (Abell 3627) at a distance of approximately 70 megaparsecs. The observations cover two frequency bands (980–1080 MHz and 1356–1440 MHz) and comprise 14 hours of on-target integration time taken in May 2019 using all 64 MeerKAT antennas. These data led to the discovery of multiple collimated synchrotron threads (CSTs) — narrow, thread-like structures of radio emission connecting the galaxy's radio lobes — a configuration not previously observed in radio galaxies (Ramatsoku et al. 2020, A&A 636, L1).
The data are stored in Zarr format, implementing the CASA Measurement Set v2 data model. They are cloud-native and can be accessed directly from S3 using the dask-ms Python library without prior download. The dataset consists of three Measurement Sets: one primary calibrator and two target-field observations. Each target dataset is about 1.1TB compressed (~3TB uncompressed).
A key community challenge associated with this dataset is performing distributed radio interferometric imaging (gridding, FFT, deconvolution) at scale directly on cloud storage — a workflow directly relevant to future Square Kilometre Array (SKA) pipelines.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- MeerKAT Measurement Sets for ESO 137-006 in Zarr format. Includes one primary calibrator dataset (ms1_primary.zarr) and two target-field datasets (ms1_target.zarr, ms2_target.zarr). Each Measurement Set contains raw and calibrated visibilities, flags, weights, UVW coordinates, and antenna/timing metadata, stored as chunked Zarr arrays accessible via dask-ms.
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::ratt-public-data/ESO137
- AWS region
- af-south-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://ratt-public-data/ESO137/
- Description
- Update notifications for s3://ratt-public-data. Users can subscribe to this SNS topic with [AWS Lambda](https://aws.amazon.com/lambda/) or [AWS Simple Queue Service](https://aws.amazon.com/sqs/).
- Resource type
- SNS topic
- Amazon Resource Name (ARN)
- arn:aws:sns:af-south-1:666850927229:ratt-public-data-object_created
- AWS region
- af-south-1
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How to cite
MeerKAT Radio Observations of ESO 137-006 was accessed on DATE from https://registry.opendata.aws/meerkat-eso137-006 .
License
Creative Commons Attribution 4.0 International (CC BY 4.0). Attribution required for refereed scientific publications — please cite Ramatsoku et al. (2020), A&A 636, L1, https://doi.org/10.1051/0004-6361/202037800 .
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