Imaging Skill

Generate continuum images from calibrated Measurement Sets using WSClean or CASA tclean.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/dsa110/dsa110-contimg --skill imaging-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Imaging Skill
Source: https://github.com/dsa110/dsa110-contimg/tree/main/backend/.github/skills/imaging
Command: npx skills add https://github.com/dsa110/dsa110-contimg --skill imaging-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of generating continuum images from calibrated radio astronomy data, enabling scientific analysis of celestial sources.

Core Features & Use Cases

  • Image Generation: Produces continuum images using WSClean or CASA tclean.
  • Parameter Optimization: Offers defaults for survey mode, optimized for point source detection and photometric repeatability.
  • Flexible Configuration: Allows customization of image size, cell size, weighting, and deconvolution parameters.
  • Use Case: Generate a high-resolution image of a target field from a calibrated Measurement Set to identify and study radio sources.

Quick Start

Use the imaging skill to create a continuum image from the calibrated measurement set located at /data/calibrated.ms.

Frequently Asked Questions about Imaging Skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create continuum images from calibrated radio astronomy Measurement Sets?

Create continuum images from calibrated radio astronomy Measurement Sets by running this Skill, which generates scientific outputs using WSClean or CASA tclean.

What is the best way to generate high-resolution images of a target field for point source detection?

Generate high-resolution images of a target field by using the automated survey mode defaults, which are specifically optimized for point source detection and photometric repeatability.

Can I customize imaging parameters like image size, cell size, and weighting in WSClean or CASA tclean?

Customize imaging parameters like imsize, cell_arcsec, weighting, and deconvolver in both WSClean and CASA tclean through flexible configuration options supported by this Skill.

How do I select the right gridder for CPU or GPU acceleration during continuum imaging?

Select the right gridder for CPU or GPU acceleration during continuum imaging by following the built-in guidance provided for optimizing computational performance based on available hardware.

Does this continuum imaging process require calibrated data as input?

Yes, the continuum imaging process requires calibrated data as input, specifically utilizing calibrated Measurement Sets to produce accurate scientific images of celestial sources.