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FINKER: Frequency Identification through Nonparametric KErnel Regression in astronomical time series

Astronomy & Astrophysics EDP Sciences 686 (2024) A158-A158

Authors:

F Stoppa, C Johnston, E Cator, G Nelemans, PJ Groot

Abstract:

Context. Optimal frequency identification in astronomical datasets is crucial for variable star studies, exoplanet detection, and astero-seismology. Traditional period-finding methods often rely on specific parametric assumptions, employ binning procedures, or overlook the regression nature of the problem, limiting their applicability and precision. Aims. We introduce a universal- nonparametric kernel regression method for optimal frequency determination that is generalizable, efficient, and robust across various astronomical data types. Methods. FINKER uses nonparametric kernel regression on folded datasets at different frequencies, selecting the optimal frequency by minimising squared residuals. This technique inherently incorporates a weighting system that accounts for measurement uncertainties and facilitates multi-band data analysis. We evaluated our method’s performance across a range of frequencies pertinent to diverse data types and compared it with an established period-finding algorithm, conditional entropy. Results. The method demonstrates superior performance in accuracy and robustness compared to existing algorithms, requiring fewer observations to reliably identify significant frequencies. It exhibits resilience against noise and adapts well to datasets with varying complexity.
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SN 2020pvb: A Type IIn-P supernova with a precursor outburst

Astronomy & Astrophysics EDP Sciences 686 (2024) a13

Authors:

N Elias-Rosa, SJ Brennan, S Benetti, E Cappellaro, A Pastorello, A Kozyreva, P Lundqvist, M Fraser, JP Anderson, Y-Z Cai, T-W Chen, M Dennefeld, M Gromadzki, CP Gutiérrez, N Ihanec, C Inserra, E Kankare, R Kotak, S Mattila, S Moran, TE Müller-Bravo, PJ Pessi, G Pignata, A Reguitti, TM Reynolds, SJ Smartt, K Smith, L Tartaglia, G Valerin, T de Boer, K Chambers, A Gal-Yam, H Gao, S Geier, PA Mazzali, M Nicholl, F Ragosta, A Rest, O Yaron, DR Young
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The dense and non-homogeneous circumstellar medium revealed in radio wavelengths around the Type Ib SN 2019oys★

Astronomy & Astrophysics EDP Sciences 686 (2024) a129

Authors:

I Sfaradi, A Horesh, J Sollerman, R Fender, L Rhodes, DRA Williams, J Bright, DA Green, S Schulze, A Gal-Yam
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Cosmology from LOFAR Two-metre Sky Survey Data Release 2: Cross-correlation with the cosmic microwave background (Corrigendum)

Astronomy & Astrophysics EDP Sciences 686 (2024) ARTN C2

Authors:

Sj Nakoneczny, D Alonso, M Bilicki, Dj Schwarz, Cl Hale, A Pollo, C Heneka, P Tiwari, J Zheng, M Brüggen, Mj Jarvis, Tw Shimwell
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WISDOM Project -- XXI. Giant molecular clouds in the central region of the barred spiral galaxy NGC 613: a steep size -- linewidth relation

(2024)

Authors:

Woorak Choi, Martin Bureau, Lijie Liu, Michele Cappellari, Timothy A Davis, Jindra Gensior, Fu-Heng Liang, Anan Lu, Sanghyuk Moon, Ilaria Ruffa, Thomas G Williams, Aeree Chung
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