Albentosa-Ruiz, EzequielEzequielAlbentosa-RuizMARCHILI, NicolaNicolaMARCHILI2025-01-212025-01-2120240004-6280http://hdl.handle.net/20.500.12386/35683Accurate 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.STAMPAenArticle10.1088/1538-3873/ad87812-s2.0-85208388410https://iopscience.iop.org/article/10.1088/1538-3873/ad8781/pdfhttps://iopscience.iop.org/article/10.1088/1538-3873/ad87812024PASP..136k4502AFIS/05 - ASTRONOMIA E ASTROFISICA