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Gain-Only Calibration Skill

Official

Efficient mosaic calibration

Data & Analytics#data processing#calibration#dagster#astronomy data#radio astronomy#mosaic imaging
Authordsa110
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill streamlines the calibration process for radio astronomy mosaic observations by reusing existing bandpass solutions, significantly reducing computation time for subsequent tiles.

Core Features & Use Cases

  • Reuses Bandpass Solutions: Leverages pre-existing bandpass calibration tables, avoiding redundant calculations.
  • Multi-Source Sky Model Prediction: Builds and populates a sky model using efficient GPU-accelerated prediction with fallbacks.
  • Optimized for Mosaics: Designed specifically for scenarios where bandpass calibration is stable across multiple observations.

Quick Start

Use the gain-only calibration skill to calibrate a science field using an existing bandpass solution.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Gain-Only Calibration Skill
Download link: https://github.com/dsa110/dsa110-contimg/archive/main.zip#gain-only-calibration-skill

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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