v0.1.14 - PHOTfun v0.1.14 "Masterframe Ascension” release!

PHOTfun v0.1.14 “Masterframe Ascension” Release + hotfix

Release Date: June 2025

Overview

This release marks a major step forward in enabling full, classic PSF photometry pipelines.
PHOTfun now supports DAOMASTER and ALLFRAME, allowing users to align and refine multi-image photometry using the same trusted tools used in crowded-field analysis for decades.

What’s New

• 🧩 DAOMASTER Integration
  Automate star matching across multiple .als files to generate a consistent reference frame and transformation file (.mch). Fully integrated into the PHOTfun interface.

• 🧵 ALLFRAME Support
  Perform simultaneous PSF photometry across multiple aligned frames using the .mch and .mag inputs. Easily launch ALLFRAME directly from the GUI with minimal setup.

• 🔧 Quality-of-Life Improvements

  • Cleaner logging of external commands (DAOPHOT/ALLSTAR/ALLFRAME)
  • More informative error messages and input validation
  • New options for controlling DAOPHOT parameters from within the GUI
  • Improved UI responsiveness and layout scaling
  • Updated pillow package version (vulnerability bug)

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Enhancements

• Full support for the DAOPHOT-II photometry cycle: FIND → PHOT → PSF → ALLSTAR → DAOMASTER → ALLFRAME
• Smarter file naming and output folder structure to avoid overwriting results
• Docker integration extended to support DAOMASTER and ALLFRAME seamlessly inside the container

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Known Limitations

• Requires consistent .als file formatting for DAOMASTER to function properly
• ALLFRAME execution assumes precomputed .psf, .als, .mch, and .mag consistency—no automatic checking yet
• ALLFRAME and DAOMATCH executions are slow and without progression feedback
• Docker backend must have access to all relevant image and photometry files in a shared volume

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How to Upgrade

pip install --upgrade photfun

Or to get the latest development version:

git clone https://github.com/ciquezada/photfun.git
cd photfun
pip install -e .

Full Changelog: v0.1.12...v0.1.13