profe 0.1.1

Reduction Pipeline for OPTICAM Photometry of Exoplanets (PROFE in spanish)

PROFE: Pipeline de Reducción de OPTICAM para Fotometría de Exoplanetas

Reduction pipeline for OPTICAM photometry of exoplanets.

A Python-based pipeline to automate preprocessing and postprocessing of data acquired with the OPTICAM instrument on the 2.1 m telescope at OAN‑SPM, aimed at producing calibrated light curves and centroid analyses for transiting exoplanets implementing the data reduction methods proposed by Paez et. al (in prep.).

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Features

• Preprocessing (profe_pre):

  • Organize and standardize FITS files.
  • Update headers and compute Julian Dates.
  • Apply median filter

• Postprocessing (profe_out):

  • Altitude-Azimuth trajectory and centroids and movement in pixels .
  • Generate binned light curves with RMS measurements.
  • Time-averaging curves to see the red noise in the time-series.
  • Radial profile
  • Field of View with apertures for targat and comparison stars

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Requirements

• Python ≥ 3.8.20

• Dependencies defined in pyproject.toml:

  • numpy$\geq$ 1.24.4
  • pandas$\geq$ 2.0.3
  • astropy$\geq$ 5.2.2
  • matplotlib$\geq$ 3.7.5
  • tqdm$\geq$ 4.67.1
  • mc3$\geq$ 3.1.5

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Installation

Install from the project root:

pip install profe

For a development environment (include testing and linting tools):

git clone https://github.com/s-paez/profe.git
cd profe
pip install .[dev]

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Usage

Preprocessing

Organize raw data from data/ directory into the organized_data/ directory, update time headers, perform median filter correction:

profe_pre

Outputs

Generate light curves (plots and files), centroid movement plots, Alt-Az trajectory, Field of View apertures, radial profile and time-averaging curves for measurements.tbl files:

profe_out

License

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