A& A Supplement series, Vol. 127, February I 1998, 555-567
Received March 20; accepted May 9, 1997
Send offprint request: J. Delabrouille (firstname.lastname@example.org)
Institut d'Astrophysique Spatiale, CNRS & Université Paris XI, Bât. 121, 91405 Orsay Cedex, France
Enrico Fermi Institute, University of Chicago, 5460 South Ellis Avenue, Chicago, IL 60510, U.S.A.
A major problem in cosmic microwave background radiation (CMBR) anisotropy measurements is the presence of low-frequency noise in the data streams. This noise arises from thermal instabilities of optical elements or of the thermal bath, gain instabilities and 1/f noise in the electronics, and other poorly understood processes. If improperly monitored or processed, this excess low-frequency noise might lead to striping in the maps, compromising the success of the experiment. In this paper, we show that a simple destriping method will clean the maps obtained with the High Frequency Instrument of the PLANCK SURVEYOR mission of any significant additional noise from low-frequency drifts, provided that the knee frequency of the low frequency noise is less than the spinning frequency of the satellite, i.e. . For the High Frequency Instrument of PLANCK, the nominal knee frequency of the noise is or less, and thus no significant striping nor increase of the noise rms is expected due to low-frequency drifts. In addition, we show that even if the knee frequency of the low frequency noise were somewhat higher than the spinning frequency of the satellite one could estimate and remove the striping with a excellent accuracy.
keywords: methods: data analysis -- cosmology: cosmic microwave background -- space vehicles