Measuring the diffuse Galactic synchrotron spectral index and curvature between 45 and 2300 MHz
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Peer-reviewed
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Abstract
Abstract We present an all-sky map of the synchrotron spectral index and curvature between 45 and 2300 MHz at a resolution of 1○ calculated from a combination of numerous partial sky empirical measurements. We employ a least-squares parametric fit which relies on removing a free-free emission template and a component separation technique which fits for both synchrotron and free-free emission. We compare our diffuse sky model estimates against those derived from the models widely used in the community (e.g. pysm3 and GSM) employing external data sets that were not included in the estimation process. Our evaluation focuses on identifying the enhanced consistency at both the map level and in pixel-to-pixel correlations, allowing for a more robust verification of our model’s performance. We find our parametric, least-squares synchrotron estimate to be the most reliable across radio frequencies as it consistently provides sky models with average accuracies (when compared to empirical data) of around 20 per cent, whilst other model performances range on average between 10 and 70 per cent accurate. The results obtained have been made publicly accessible online and can be utilized to further develop and refine models of Galactic synchrotron emission.
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Acknowledgements: We thank Brandon Hensley, Susan Clark, Paddy Leahy, Mathieu Remazeilles, Shamik Ghosh, Jacques Delabrouille, Roke Cepeda-Arroita, and the Pan-Experiment Galactic Science group for the comments and fruitful discussion and suggestions on synchrotron modelling. GP thanks Arianna Rizzieri and Josquin Errard for useful insights and suggestions in parametric component separation. We also thank the excellent resource of the LAMBDA Legacy Archive4 which houses the majority of the sky maps used in this work. GP acknowledges financial support under the National Recovery and Resilience Plan (NRRP), Mission 4, Component 2, Investment 1.1, Call for tender No. 104 published on 2022 February 2 by the Italian Ministry of University and Research (MUR), funded by the European Union–NextGenerationEU–Project Title ‘SHIFT’–CUP 55723062008–Grant Assignment Decree No. 962 adopted on 2023 June 30 by the Italian Ministry of Ministry of University and Research (MUR). Some of the results in this paper were derived using the following healpy and HEALPix packages.
Funder: MUR; doi: https://doi.org/10.13039/501100021856
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1365-2966

