Skip to content
Review Open access

phoptic - a Python package for reducing astronomical images

Jul 2026 · RAS Techniques and Instruments · Vol 5 · 1 citation · 67 references
Physics

Abstract

Publicly-available photometry pipelines make astronomical data reduction accessible to non-experts, reduce the margin for human error, and enable reproducible reduction. In many cases, bespoke reduction software is written on a per-instrument basis; this results in rigid pipelines that cannot be straightforwardly applied to data from other instruments. To alleviate this problem, we present phoptic, an open source photometry pipeline written in Python. phoptic began as a dedicated pipeline for the the OPtical TIming CAMera (OPTICAM), a triple-camera system mounted on the 2.1 m telescope at the Observatorio Astronómico Nacional in San Pedro Mártir, México. However, phoptic now serves as a generic photometry pipeline with a simple interface to reduce data from other instruments. At its core, phoptic leverages the astropy Python package, and affiliated packages thereof, to provide a flexible, modern, and interoperable reduction pipeline. In particular, phoptic uses photutils for background estimation, source detection, and performing aperture photometry. Additionally, phoptic implements optimal photometry, improving the signal-to-noise ratio over aperture photometry by up to ~10 per cent. We describe phoptic’s functionality, discuss its default behaviour, and demonstrate its flexible interface by reducing data from the HiPERCAM, MEXMAN, OPTICAM, and ULTRACAM instruments. We also review the performance of phoptic, and show that it is highly scalable on multi-core CPUs.

Read PDF

Similar papers

Review Open access Jul 2026

PhoPS: An automated photometric pipeline for survey-era astronomy

(Photometry and Astrometry of Point Sources), a fully automated Python-based pipeline for photometric reduction with integrated astrometric calibration, is introduced, supporting the homogeneous reduction of stellar and moving Solar System objects, independent of telescope aperture or detector type.

Orhan Erece, Yücel Kılıç · 1 citation
Review Aug 2026

Py7DT: data reduction pipeline of the 7-Dimensional Telescope

Current operational tests show that Py7DT can process a typical nightly survey volume within the daily time budget while producing prompt ToO products on an approximately one-hour end-to-end timescale when the target is immediately observable.

Donghwan Hyun, D. Tak, G. Paek et al. · 0 citations
Preprint Sep 2026

NEO-BENCH: A New Multi-Source Benchmark for Generalizable Astronomical Streak Detection

Near-Earth Objects (NEOs) can appear as faint streaks in long-exposure astronomical images. Detecting these streaks across diverse observatories requires methods that remain reliable despite differences in image quality, orientation, sky background, and noise. However, existing detectors are commonly evaluated using da...

Jia-You He, Jessica Yao · 0 citations
Open access Aug 2026

Astro+ database. I. Description and first results

The vast amounts of spectroscopic data for massive stars provided by previous and existing instruments on ground-based and space-based telescopes have saturated our capability to process them by human inspection routines. Consequently, there is a pressing need for fully automatic machine-assisted tools to help handle i...

K. Rübke, A. Marco, I. Negueruela et al. · 0 citations
Aug 2026

Introducing the data-reduction pipeline for the Nordic Optical Telescope Transient Explorer spectrograph

The Nordic Optical Telescope Transient Explorer (NTE) is a new multiarm imaging and spectroscopic instrument being developed for the Nordic Optical Telescope (NOT). In spectroscopic mode, NTE provides simultaneous wavelength coverage from 320nm to 2440nm through three independent arms. To support the time-critical scie...

K. Valeckas, Arthur M. Kadela, J. Viuho et al. · 1 citation
Open access Aug 2026

ADORA: a differentiable optical modeling and astrometric retrieval framework for SHERA

ADORA provides a flexible framework for studying astrometric extraction, calibration-bias diagnosis, and future SHERA requirements, and Pixel-position errors across the tested range remain near the matched-model recovery scale indicating robustness to certain detector calibration errors.

Dylan M. McKeithen, S. Shaklan, G. Vasisht et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.