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The SOFIA Imager Pipeline | Synapse

February 27, 2026Open Access

The SOFIA Imager Pipeline

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Key Points

To create a systematic analysis tool for processing SOFIA's archival data into usable research products.
Developed a Python-based pipeline at the SOFIA Data Center.
Processed approximately 150 TB of data from multiple infrared cameras during nearly 800 science flights.
Conducted systematic pointing analysis to enhance data usability.
Transformed millions of images into research-grade products.
Improved metadata accessibility for enhanced analysis of astronomical data.

Abstract

The Stratospheric Observatory for Infrared Astronomy (SOFIA) captured millions of images with its three tracking cameras (WFI, FFI and FPI) across nearly 800 science flights. However, this data was stored in archival formats with only rudimentary metadata. In order to perform a systematic pointing analysis, we developed a robust, Python-based pipeline at the SOFIA Data Center to process this ~ 150 TB large data set into research-grade products.

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Cite this study

Wiedemann et al. (Mon,) studied this question.

synapsesocial.com/papers/69a13571ed1d949a99abf4c2 — DOI: https://doi.org/10.5281/zenodo.18768927

Authors

M

Manuel Wiedemann

University of Stuttgart

O

Oliver Zeile

University of Stuttgart

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Institutions

University of Stuttgart

References and Citations

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