Skip to main content

Curated cargo of TART radio astronomy packages for stimela 2.0

Project description

tart_cargo

Curated cargo of TART radio astronomy packages for stimela 2.0. This allows the use of TART telescope tools as part of the stimela 2.0 radio astronomy pipeline.

Author: Tim Molteno

Based on the tart_tools package which does most of the heavy lifting.

Installation and Use

You will need a Linux or Windoes computer with apptainer, and python installed.

Linux

Most linux has python preinstalled.. Packages are available for download from apptainer.org.

Windows

install the Windows Subsystem for Linux (WSL), open PowerShell as an administrator and run the command wsl --install. This will enable the necessary features and install the default Linux distribution, which is usually Ubuntu.

To install pip on WSL, first ensure that Python is installed by running sudo apt install python3. Then, install pip using the command ```sudo apt install python3-pip``.

Use of tart_cargo

then create a python virtual environment

python3 -m venv myvenv
source myvenv/bin/activate
pip install tart_cargo

This should install all the necessary dependencies (including stimela).

Then create a stimela recipe. An example is shown below...

#!/usr/bin/env -S stimela run -l
# This basic TART Stimela 2.0 processing pipeline
opts:
    log:
        dir: logs/log-{config.run.datetime}
        name: log-{info.fqname}
        nest: 2
        symlink: log

_include:
    - (tartcargo):
        - tart2ms.yml
        - tart-download-data.yml
        - disko.yml
        - disko-draw.yml

tart-image:
    info: TART imaging using stimela

    inputs:
        tart:
            dtype: str
            required: true
            info: "TART name (e.g. mu-udm)"

    outputs:
        ms:
            dtype: MS
            default:  '{current.tart}.ms'
        hdf:
            dtype: File
            default: =STRIPEXT(current.ms) + '-vis.hdf'
        svg:
            dtype: File
            default: =STRIPEXT(current.ms) + '.svg'

    assign:
        api: 'https://api.elec.ac.nz/tart/{recipe.tart}'


    steps:

        download-hdf:
            cab: tart-download-data
            params:
                api: =recipe.api
                vis: true
                file: =recipe.hdf

        create-ms:
            cab: tart2ms
            params:
                hdf: =steps.download-hdf.file
                ms: =recipe.ms
                clobber: true
                single-field: true
                rephase: obs-midpoint

        disko-image:
            cab: disko
            params:
                ms: =recipe.ms
                HDF: '{recipe.tart}.h5'
                healpix: true
                fov: 170deg
                res: 0.5deg
                lasso: true
                alpha: 0.006
                l1-ratio: 0.02

        project-image:
            cab: disko-draw
            params:
                hdf: '{recipe.tart}.h5'
                show-sources: true
                SVG: =recipe.svg

You can run this recipe as follows:

stimela run example_recipe.yml tart=mu-udm

This will download data, and form an image from the specified TART telescope.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tart_cargo-0.3.2.tar.gz (6.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tart_cargo-0.3.2-py3-none-any.whl (9.6 kB view details)

Uploaded Python 3

File details

Details for the file tart_cargo-0.3.2.tar.gz.

File metadata

  • Download URL: tart_cargo-0.3.2.tar.gz
  • Upload date:
  • Size: 6.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for tart_cargo-0.3.2.tar.gz
Algorithm Hash digest
SHA256 59550d50779c23e28c70f5e34478aa646c3731a06b81e7e21c5ed10ab2d6feec
MD5 269af8cf48454228b02d41ff41b39eac
BLAKE2b-256 cf7cb644b067c226bb9292f4906604dd95bf908ed4a4ff4521b2050d9436c71d

See more details on using hashes here.

Provenance

The following attestation bundles were made for tart_cargo-0.3.2.tar.gz:

Publisher: deploy_module.yaml on tart-telescope/tart_cargo

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file tart_cargo-0.3.2-py3-none-any.whl.

File metadata

  • Download URL: tart_cargo-0.3.2-py3-none-any.whl
  • Upload date:
  • Size: 9.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for tart_cargo-0.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 ca63a13f0f057b6fba603c029437ea44bf51fa2dfc3cd7a9d1890d1f3a3c3bef
MD5 4e7aea02433cba43047f1a335605e2ec
BLAKE2b-256 686663871f785e964359affcf63b8d778398568341dcae2ebcc9edb64f737f09

See more details on using hashes here.

Provenance

The following attestation bundles were made for tart_cargo-0.3.2-py3-none-any.whl:

Publisher: deploy_module.yaml on tart-telescope/tart_cargo

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page