Issue |
A&A
Volume 529, May 2011
|
|
---|---|---|
Article Number | A141 | |
Number of page(s) | 10 | |
Section | Cosmology (including clusters of galaxies) | |
DOI | https://doi.org/10.1051/0004-6361/201016090 | |
Published online | 20 April 2011 |
Effect of Fourier filters in removing periodic systematic effects from CMB data
1
Max Planck Institute for Astrophysics, Karl-Schwarzschild-Str. 1, 85741
Garching, Germany
e-mail: fdg@mpa-garching.mpg.de
2
Università degli Studi di Milano, Dipartimento di
Fisica, via Celoria
16, 20133
Milano,
Italy
3
INAF-OATs Trieste, via Tiepolo 11, 34131
Trieste,
Italy
4
INAF-IASFBO, via Gobetti 101, 40129
Bologna,
Italy
Received:
6
November
2010
Accepted:
7
March
2011
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.
Key words: cosmic background radiation / cosmology: observations / methods: data analysis
© ESO, 2011
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.