A& A Supplement series, Vol. 127, February I 1998, 555-567
Received March 20; accepted May 9, 1997
J. Delabrouille
Send offprint request: J. Delabrouille (jacques@ias.fr)
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