PERRY: A Human-in-the-Loop GUI for Precision Alignment of MUSE Data
Abstract
The Multi Unit Spectroscopic Explorer (MUSE) on the Very Large Telescope produces high-dimensional data-cubes where even minor astrometric misalignments between multiple exposures can introduce severe artifacts and compromise data quality. While automated pipelines provide a crucial baseline, subtle offsets require human intervention. To address this, we introduce PERRY, an interactive, Python-based Graphical User Interface (GUI) explicitly designed for the visual inspection and manual fine-tuning of MUSE image alignments. Playing an essential role of finding manual offset adjustments for data-cubes within the Pythonic AAO Reduction Environment (PARE), PERRY ingests automatically pre-aligned data, provides synchronized visual and quantitative diagnostics, and enables real-time coordinate translation and rotation updates. The resulting precise adjustments are preserved in reproducible configuration files, maximizing the scientific return and efficiency of advanced data reduction pipelines.
Versions
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BibTeX
@misc{bazkiaei2026perry,
title = {{PERRY: A Human-in-the-Loop GUI for Precision Alignment of MUSE Data}},
author = {Amir E. Bazkiaei and Brent Miszalski and Jesse van de Sande and Nuria P. F. Lorente and Simon O'Toole and Kate Sheng},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.06400},
eprint = {2609.06400},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.06400},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - PERRY: A Human-in-the-Loop GUI for Precision Alignment of MUSE Data
AU - Amir E. Bazkiaei
AU - Brent Miszalski
AU - Jesse van de Sande
AU - Nuria P. F. Lorente
AU - Simon O'Toole
AU - Kate Sheng
PY - 2026
DA - 2026/09/06
PB - arXiv
DO - 10.48550/arxiv.2609.06400
UR - https://arxiv.org/abs/2609.06400
AB - The Multi Unit Spectroscopic Explorer (MUSE) on the Very Large Telescope produces high-dimensional data-cubes where even minor astrometric misalignments between multiple exposures can introduce severe artifacts and compromise data quality. While automated pipelines provide a crucial baseline, subtle offsets require human intervention. To address this, we introduce PERRY, an interactive, Python-based Graphical User Interface (GUI) explicitly designed for the visual inspection and manual fine-tuning of MUSE image alignments. Playing an essential role of finding manual offset adjustments for data-cubes within the Pythonic AAO Reduction Environment (PARE), PERRY ingests automatically pre-aligned data, provides synchronized visual and quantitative diagnostics, and enables real-time coordinate translation and rotation updates. The resulting precise adjustments are preserved in reproducible configuration files, maximizing the scientific return and efficiency of advanced data reduction pipelines.
ER -