# The Data Processing Pipeline for the Herschel-HIFI Instrument

## TL;DR

The paper describes the development and implementation of a modular, flexible data processing pipeline for the Herschel-HIFI instrument, enabling efficient processing of diverse observational data and supporting astronomers in analysis.

## Contribution

It introduces a highly modular and adaptable data processing pipeline tailored for the Herschel-HIFI instrument, incorporating lessons learned for future projects.

## Key findings

- Successfully processed all HIFI observing modes
- Enhanced data quality and processing efficiency
- Provided a flexible framework for interactive analysis

## Abstract

The HIFI data processing pipeline was developed to systematically process diagnostic, calibration and astronomical observations taken with the HIFI science instrumentas part of the Herschel mission. The HIFI pipeline processed data from all HIFI observing modes within the Herschel automated processing environment, as well as, within an interactive environment. A common software framework was developed to best support the use cases required by the instrument teams and by the general astronomers. The HIFI pipeline was built on top of that and was designed with a high degree of modularity. This modular design provided the necessary flexibility and extensibility to deal with the complexity of batch-processing eighteen different observing modes, to support the astronomers in the interactive analysis and to cope with adjustments necessary to improve the pipeline and the quality of the end-products. This approach to the software development and data processing effort was arrived at by coalescing the lessons learned from similar research based projects with the understanding that a degree of foresight was required given the overall length of the project. In this article, both the successes and challenges of the HIFI software development process are presented. To support future similar projects and retain experience gained lessons learned are extracted.