An automated, self-calibration-based pipeline for high-fidelity solar imaging with LOFAR: SIMPL Article Swipe

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Sourav Dey , Divya Oberoi , Pietro Zucca , Mattia Mancini , Dipti Patra , Devojyoti Kansabanik · YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1051/0004-6361/202556857

Context. The LOw Frequency ARray (LOFAR) is capable of imaging spectroscopy of the Sun in the 10–240 MHz frequency range, with high spectral, temporal, and spatial resolution. However, the complex and rapidly varying nature of solar radio emission – spanning several orders of magnitude in brightness and further exacerbated by the strong ionospheric phase distortions during daytime observations, poses major challenges for calibration, imaging, and automation. Aims. We aim to develop a fully automated, high-fidelity imaging pipeline optimised for LOFAR solar observations, capable of handling the intrinsic variability of solar emission and producing science-ready images with minimal human intervention. Methods. We have built the Solar Imaging Pipeline for LOFAR (SIMPL), which integrates excision of radio-frequency interference (RFI) for the solar-specific scenarios, calibration strategies, and self-calibration. At present, SIMPL processes data from the LOFAR core stations and produces total-intensity solar images, with ongoing developments aimed at enabling full polarimetric imaging and incorporating increasingly distant antennas. The pipeline is designed to enable scalable and uniform processing of large archival datasets. Results. In terms of performance, SIMPL achieves more than an order of magnitude improvement in imaging dynamic range compared with previous efforts and reliably produces high-quality spectroscopic snapshot images. It has been tested across a wide range of solar conditions. It is currently being employed to process a decade of LOFAR solar observations, providing science-ready Flexible Image Transport System (FITS) images for the community and enabling both comprehensive and novel studies of solar radio phenomena, ranging from quiet Sun emission and faint non-thermal features to active regions and their associated dynamic events, such as transient bursts.

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article

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en

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https://doi.org/10.1051/0004-6361/202556857

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hybrid

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51

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https://openalex.org/W4415219978

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https://openalex.org/W4415219978

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https://doi.org/10.1051/0004-6361/202556857

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An automated, self-calibration-based pipeline for high-fidelity solar imaging with LOFAR: SIMPL

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article

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en

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2025

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2025-10-15

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Sourav Dey, Divya Oberoi, Pietro Zucca, Mattia Mancini, Dipti Patra, Devojyoti Kansabanik

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https://doi.org/10.1051/0004-6361/202556857

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Yes

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hybrid

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https://doi.org/10.1051/0004-6361/202556857

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1

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2025: 1

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51

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