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Mosaic Skill

Orchestrate radio astronomy continuum mosaics from observation tiles with quality assessment.

Updated Aug 27, 2026
Search Tags:#pipeline#data processing#astronomy#imaging#radio astronomy#mosaic
One-click install
npx skills add https://github.com/dsa110/dsa110-contimg --skill mosaic-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Mosaic Skill
Source: https://github.com/dsa110/dsa110-contimg/tree/main/backend/.github/skills/mosaic
Command: npx skills add https://github.com/dsa110/dsa110-contimg --skill mosaic-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the complex process of combining multiple radio telescope observations (tiles) into larger, contiguous mosaic images, essential for astronomical surveys and analysis.

Core Features & Use Cases

  • Automated Mosaicking: Combines individual observation tiles into daily mosaics.
  • Quality Assessment: Performs checks on astrometry and photometry to ensure data quality.
  • Tiered Processing: Offers different processing levels (Quick, Standard, Deep) for balancing speed and depth.
  • Use Case: A radio astronomer needs to create a wide-field image of a celestial region. This Skill can take dozens of individual observation files and stitch them together into a single, high-resolution mosaic, ready for scientific analysis.

Quick Start

Use the mosaic skill to create a mosaic from the provided tile files.

Frequently Asked Questions about Mosaic Skill

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

FAQPage Schema
How do I combine multiple radio astronomy tiles into a single mosaic image?▼

To build a radio astronomy mosaic, this Skill orchestrates multi-tile aggregation, merging individual observation files into contiguous, high-resolution mosaic images ready for scientific analysis.

What is primary beam correction in radio astronomy mosaicking?▼

Primary beam correction is a processing step managed by this Skill to normalize sensitivity variations across observation tiles, ensuring accurate photometry and astrometry in the final constructed continuum mosaics.

Can I perform astrometry and photometry checks on radio continuum mosaics?▼

Yes, you can perform scientific validation on radio continuum mosaics. This Skill executes quality assessment checks on astrometry and photometry to ensure data integrity after combining observation tiles.

What's the best way to balance processing speed and depth for astronomical survey data reduction?▼

To balance speed and depth, this Skill offers tiered processing strategies—Quick, Standard, and Deep—allowing you to select the optimal processing level for your astronomical survey data reduction workflow.

Does this mosaic construction tool support automated pipeline workflows?▼

Yes, this mosaic construction tool integrates with pipeline workflows for automated data reduction, orchestrating the combination of observation tiles and executing quality assessment without manual intervention.

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