Skip to main content

PHOTfun is an interactive adaptation of the DAOPHOT

Project description

PHOTfun - PSF Photometry and IFU Spectral Extraction Toolkit

Description

PHOTfun is a Python package designed to simplify PSF photometry workflows using the DAOPHOT-II and ALLSTAR suite. It provides an intuitive graphical interface for executing essential photometric tasks and includes a dedicated extension, PHOTcube, for extracting stellar spectra from IFU datacubes. The GUI is built using the Shiny web framework for Python, allowing users to interactively manage every step of the process, from source detection to photometric analysis.

In crowded stellar fields, PHOTcube enables efficient and accurate spectral extraction via monochromatic slicing and PSF photometry, reconstructing high-fidelity stellar spectra.

Key Features

  • Shiny-based graphical interface for running DAOPHOT-II routines interactively.
  • Executes FIND, PICK, PHOT, PSF, SUBTRACT, and DAOMATCH for full PSF photometry workflows.
  • PHOTcube extension for IFU datacube slicing and spectral extraction.
  • Visual inspection and rejection of PSF stars via GUI.
  • Interoperability with external tools like TOPCAT and DS9 through SAMP.

Credits

  • Developer: Carlos Quezada
  • Inspired by the work of Alvaro Valenzuela
  • Built upon DAOPHOT-II and ALLSTAR by Peter Stetson

Installation

  1. Clone this repository.
  2. Make sure the dependencies listed in setup.py are installed.
  3. Install the package:
    pip install .
    
  4. Run the GUI using the command:
    photfun
    

Dependencies

The package depends on the following libraries:

  • astropy==7.0.1
  • faicons==0.2.2
  • imageio==2.37.0
  • joblib==1.4.2
  • matplotlib==3.10.1
  • nest_asyncio==1.6.0
  • numpy==2.2.5
  • pandas==2.2.3
  • Pillow==11.2.1
  • scipy==1.15.2
  • shiny==1.4.0
  • tqdm==4.67.1

Usage Instructions

PHOTfun GUI (Photometry)

  1. Run photfun from the command line.
  2. Select a .fits file or set of images to process.
  3. Use the interface to execute FIND, PICK, PHOT, PSF modeling, and photometry steps.
  4. Interactively inspect PSF stars and reject outliers.

PHOTcube (IFU Spectra Extraction)

  1. Load a datacube in PHOTfun.
  2. Automatically slice the datacube into monochromatic images.
  3. Apply PSF photometry on each slice using previously defined source lists.
  4. Extract and concatenate monochromatic fluxes into 1D spectra for each target.

Contributions

Contributions are welcome! To contribute:

  1. Fork the repository.
  2. Create a new branch:
    git checkout -b feature/my-feature
    
  3. Make your changes and commit them:
    git commit -am 'Add my feature'
    
  4. Push to your branch:
    git push origin feature/my-feature
    
  5. Open a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.


(SPANISH) PHOTfun - Fotometría PSF y Extracción Espectral desde Cubos IFU

Descripción

PHOTfun es un paquete en Python que facilita la realización de fotometría PSF usando DAOPHOT-II y ALLSTAR, con una interfaz gráfica intuitiva desarrollada con Shiny. Incluye una extensión llamada PHOTcube, especialmente diseñada para la extracción espectral desde cubos de datos IFU.

PHOTcube permite realizar una fotometría por PSF sobre imágenes monocromáticas obtenidas a partir de un cubo IFU, y luego reconstruir los espectros para cada fuente detectada, optimizando la separación de objetos en campos estelares densos.

Características principales

  • Interfaz gráfica basada en Shiny para ejecutar comandos de DAOPHOT-II.
  • Incluye rutinas FIND, PICK, PHOT, PSF, SUBTRACT y DAOMATCH.
  • Herramienta visual para inspección y rechazo de estrellas PSF.
  • Soporte SAMP para interoperabilidad con herramientas como TOPCAT y DS9.
  • PHOTcube para corte del cubo IFU y extracción espectral automatizada.

Créditos

  • Desarrollador: Carlos Quezada
  • Inspirado en el trabajo de Alvaro Valenzuela
  • Basado en DAOPHOT-II y ALLSTAR, software de Peter Stetson

Instalación

  1. Clona este repositorio.
  2. Asegúrate de tener las dependencias de setup.py instaladas.
  3. Instala el paquete con:
    pip install .
    
  4. Ejecuta la interfaz con:
    photfun
    

Dependencias

El paquete requiere las siguientes librerías:

  • astropy==7.0.1
  • faicons==0.2.2
  • imageio==2.37.0
  • joblib==1.4.2
  • matplotlib==3.10.1
  • nest_asyncio==1.6.0
  • numpy==2.2.5
  • pandas==2.2.3
  • Pillow==11.2.1
  • scipy==1.15.2
  • shiny==1.4.0
  • tqdm==4.67.1

Instrucciones de uso

Interfaz PHOTfun (Fotometría)

  1. Ejecuta photfun desde la terminal.
  2. Selecciona archivos .fits o conjuntos de imágenes para procesar.
  3. Ejecuta FIND, PICK, PHOT, PSF y otros pasos desde la interfaz.
  4. Revisa visualmente las estrellas PSF y descarta las inadecuadas.

PHOTcube (Extracción Espectral desde Cubos IFU)

  1. Carga un cubo en la interfaz PHOTfun.
  2. El cubo será dividido automáticamente en imágenes monocromáticas.
  3. Aplica fotometría PSF usando listas maestras de fuentes.
  4. Los flujos monocromáticos se concatenan para formar los espectros de cada estrella.

Contribuciones

¡Las contribuciones son bienvenidas! Para contribuir:

  1. Haz un fork del repositorio.
  2. Crea una nueva rama:
    git checkout -b feature/nueva-funcionalidad
    
  3. Realiza tus cambios y haz commit:
    git commit -am 'Agrega nueva funcionalidad'
    
  4. Haz push de tu rama:
    git push origin feature/nueva-funcionalidad
    
  5. Abre un pull request.

Licencia

Este proyecto está bajo la Licencia MIT. Consulta el archivo LICENSE para más detalles.

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

photfun-0.1.4.tar.gz (56.1 kB view details)

Uploaded Source

Built Distribution

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

photfun-0.1.4-py3-none-any.whl (82.9 kB view details)

Uploaded Python 3

File details

Details for the file photfun-0.1.4.tar.gz.

File metadata

  • Download URL: photfun-0.1.4.tar.gz
  • Upload date:
  • Size: 56.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for photfun-0.1.4.tar.gz
Algorithm Hash digest
SHA256 2c0ba39e5be06b7450b0fb18fdb9bf437b37d22ea8bc1586ee34f58e4ac60963
MD5 9a69bee1b82a7c338cf3b6b2ae48a725
BLAKE2b-256 d064532f4a702d1405f72e75bfdf2dc3d47ffbd5c4d0ebdf42e719cc8cbdeb12

See more details on using hashes here.

Provenance

The following attestation bundles were made for photfun-0.1.4.tar.gz:

Publisher: publish.yml on ciquezada/photfun

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

File details

Details for the file photfun-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: photfun-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 82.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for photfun-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 f352043c9547b0889d30575a895c0991123a822d61b1888698148149ae5b593c
MD5 21c8db77023cc6c83f52fb9a372dc21e
BLAKE2b-256 b0d5f1d044341d818d5f586e28e5cf8af114b6f6e42ce4828ed54b4a4818a44c

See more details on using hashes here.

Provenance

The following attestation bundles were made for photfun-0.1.4-py3-none-any.whl:

Publisher: publish.yml on ciquezada/photfun

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