2011/03/29 by F. de Gasperin, A. Mennella, D. Maino +8 · 1 citation
Earth and Planetary Sciences · Environmental Science · Mathematics · Physics and Astronomy · #Algorithm #Artificial intelligence #Astrophysics #Background noise #Climate variability and models #Computer science #Cosmic microwave background #Cosmology and Gravitation Theories #Filter (signal processing) #Fourier series #Fourier transform #Mathematics #Meteorological Phenomena and Simulations #Noise (video) #Optics #Physics #Planck #Residual #Sky #Spurious relationship #Statistics #Telecommunications #Timeline #astro-ph.CO #astro-ph.IM
paper · pdf · doi:10.1051/0004-6361/201016090
published in Astronomy and Astrophysics 529, A141 (EDP Sciences) · 10 pages, 8 figures, published in Astronomy & Astrophysics
openalex publication_date 2011/03/29 · arxiv created 2011/04/04 · arxiv updated 2015/05/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
We consider the application of high-pass Fourier filters to remove periodic systematic fluctuations from full-sky survey CMB datasets. We compare the filter performance with destriping codes commonly used to remove the effect of residual 1/f noise from timelines. As a realistic working case, we use simulations of the typical Planck scanning strategy and Planck Low Frequency Instrument noise performance, with spurious periodic fluctuations that mimic a typical thermal disturbance. We show that the application of Fourier high-pass filters in chunks always requires subsequent normalisation of induced offsets by means of destriping. For a complex signal containing all the astrophysical and instrumental components, the result obtained by applying filter and destriping in series is comparable to the result obtained by destriping only, which makes the usefulness of Fourier filters questionable for removing this kind of effects.