PReBeaM for Planck: A Polarized Regularized Beam Deconvolution Map-Making Method

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

12 pages, 8 figures, submitted to ApJS. Full paper with high resolution figures is available at http://www.astro.uiuc.edu/~c

Scientific paper

10.1088/0067-0049/181/2/533

We describe a maximum likelihood regularized beam deconvolution map-making algorithm for data from high resolution, polarization sensitive instruments, such as the Planck data set. The resulting algorithm, which we call PReBeaM, is pixel-free and solves for the map directly in spherical harmonic space, avoiding pixelization artifacts. While Fourier methods like ours are expected to work best when applied to smooth, large-scale asymmetric beam systematics (such as far-side lobe effects) we show that our m-truncated spherical harmonic representation of the beam results in negligible reconstruction error -- even for m as small as 4 for a polarized elliptically asymmetric beam. We describe a hybrid OpenMP/MPI parallelization scheme which allows us to store and manipulate the time-ordered data from instruments with arbitrary scanning strategy. Finally, we apply our technique to noisy data and show that it succeeds in removing visible power spectrum artifacts without generating excess noise on small scales.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

PReBeaM for Planck: A Polarized Regularized Beam Deconvolution Map-Making Method does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with PReBeaM for Planck: A Polarized Regularized Beam Deconvolution Map-Making Method, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and PReBeaM for Planck: A Polarized Regularized Beam Deconvolution Map-Making Method will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-312417

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.