maria goes NIFTy: Gaussian Process-Based Reconstruction and Denoising of Simulated (Sub-)Millimetre Single-Dish Telescope Data

Fuente: arXiv
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Main Authors: Würzinger, Jonas, van Marrewijk, Joshiwa, Morris, Thomas W., Fuchs, Richard, Mroczkowski, Tony, Heinrich, Lukas
Format: Preprint
Published: 2025
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author Würzinger, Jonas
van Marrewijk, Joshiwa
Morris, Thomas W.
Fuchs, Richard
Mroczkowski, Tony
Heinrich, Lukas
author_facet Würzinger, Jonas
van Marrewijk, Joshiwa
Morris, Thomas W.
Fuchs, Richard
Mroczkowski, Tony
Heinrich, Lukas
contents (Sub-)millimetre single-dish telescopes feature faster mapping speeds and access larger spatial scales than their interferometric counterparts. However, atmospheric fluctuations tend to dominate their signals and complicate recovery of the astronomical sky. Here we develop a framework for Gaussian process-based sky reconstruction and separation of the atmospheric emission from the astronomical signal based on Numerical Information Field Theory (NIFTy). To validate this novel approach, we use the maria software to generate synthetic time-ordered observational data mimicking the MUSTANG-2 bolometric array. This approach leads to significantly improved sky reconstructions versus traditional methods.
format Preprint
id arxiv_https___arxiv_org_abs_2509_01600
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle maria goes NIFTy: Gaussian Process-Based Reconstruction and Denoising of Simulated (Sub-)Millimetre Single-Dish Telescope Data
Würzinger, Jonas
van Marrewijk, Joshiwa
Morris, Thomas W.
Fuchs, Richard
Mroczkowski, Tony
Heinrich, Lukas
Instrumentation and Methods for Astrophysics
(Sub-)millimetre single-dish telescopes feature faster mapping speeds and access larger spatial scales than their interferometric counterparts. However, atmospheric fluctuations tend to dominate their signals and complicate recovery of the astronomical sky. Here we develop a framework for Gaussian process-based sky reconstruction and separation of the atmospheric emission from the astronomical signal based on Numerical Information Field Theory (NIFTy). To validate this novel approach, we use the maria software to generate synthetic time-ordered observational data mimicking the MUSTANG-2 bolometric array. This approach leads to significantly improved sky reconstructions versus traditional methods.
title maria goes NIFTy: Gaussian Process-Based Reconstruction and Denoising of Simulated (Sub-)Millimetre Single-Dish Telescope Data
topic Instrumentation and Methods for Astrophysics
url https://arxiv.org/abs/2509.01600