Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12386/35683
Title: | High-pass Filter Periodogram: An Improved Power Spectral Density Estimator for Unevenly Sampled Data | Authors: | Albentosa-Ruiz, Ezequiel MARCHILI, Nicola |
Issue Date: | 2024 | Journal: | PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC | Number: | 136 | Issue: | 11 | First Page: | 114502 | Abstract: | Accurate time series analysis is essential for studying variable astronomical sources, where detecting periodicities and characterizing power spectral density (PSD) are crucial. The Lomb-Scargle periodogram, commonly used in astronomy for analyzing unevenly sampled time series data, often suffers from noise introduced by irregular sampling. This paper presents a new high-pass filter (HPF) periodogram, a novel implementation designed to mitigate this sampling-induced noise. By applying a frequency-dependent HPF before computing the periodogram, the HPF method enhances the precision of PSD estimates and periodicity detection across a wide range of signal characteristics. Simulations and comparisons with the Lomb-Scargle periodogram demonstrate that the HPF periodogram improves accuracy and reliability under challenging sampling conditions, making it a valuable complementary tool for more robust time series analysis in astronomy and other fields dealing with unevenly sampled data. | URI: | http://hdl.handle.net/20.500.12386/35683 | URL: | https://iopscience.iop.org/article/10.1088/1538-3873/ad8781/pdf https://iopscience.iop.org/article/10.1088/1538-3873/ad8781 |
ISSN: | 0004-6280 | DOI: | 10.1088/1538-3873/ad8781 | Bibcode ADS: | 2024PASP..136k4502A | Fulltext: | open |
Appears in Collections: | 1.01 Articoli in rivista |
Files in This Item:
File | Description | Size | Format | |
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HPFperiodogram2024.pdf | Pdf editoriale | 1.33 MB | Adobe PDF | View/Open |
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