IOP4, the Interactive Optical Photo-Polarimetric Python Pipeline

TL;DR

IOP4 is a comprehensive Python pipeline that streamlines optical photometry and polarimetry data analysis, integrating database management, web interface, and multi-instrument support to facilitate research and data inspection.

Contribution

It introduces a modular, database-driven pipeline with a web interface for optical data reduction and analysis, supporting multiple instruments and observatories.

Findings

Supports five different instruments from two observatories.

Features an integrated web interface for data browsing and pipeline supervision.

Has been used in several high-impact publications.

Abstract

IOP4 is a pipeline to perform photometry and polarimetry analysis of optical data from Calar Alto (CAHA) and Sierra Nevada (OSN) observatories. IOP4 implements Object Relational Mapping (ORM) to seamlessly integrate all information about the reduction and results in a database which can be used to query and plot results, flag data and inspect the reduction process in an integrated fashion with the whole pipeline. It also ships with an already built-in web interface which can be used out of the box to browse the database and supervise all pipeline processes. It is built to ease debugging and inspection of data. Reduction from five different instruments are already implemented: RoperT90, AndorT90 and DIPOL (at OSN 0.9m telescope), AndorT150 (OSN 1.5m telescope) and CAFOS (CAHA 2.2m telescope). IOP4's modular design allows for easy integration of new observatories and instruments, and its results have already featured in several high-impact refereed publications. In this paper we describe the implementation and characteristics of IOP4.