Noise estimation in CMB time-streams and fast map-making. Application to the BOOMERanG98 data

A. Boscaleri; A.E. Lange; A.H. Jaffe; A. Iacoangeli; A. Melchiorri; B.P. Crill; C.B. Netterfield; D. Pogosyan; D. Sforna; E. Hivon

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Noise estimation in CMB time-streams and fast map-making. Application to the BOOMERanG98 data

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arxiv astro-ph/0101073 v1 submitted 2001-01-04 astro-ph

S. Prunet , P.A.R. Ade , J.J. Bock , J.R. Bond , J. Borrill , A. Boscaleri , K. Coble , B.P. Crill

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P. De Bernardis G. De Gasperis G. De Troia P.C. Farese P.G. Ferreira K. Ganga M. Giacometti E. Hivon V.V. Hristov A. Iacoangeli A.H. Jaffe A.E. Lange L. Martinis S. Masi P. Mason P.D. Mauskopf A. Melchiorri L. Miglio T. Montroy C.B. Netterfield E. Pascale F. Piacentini D. Pogosyan F. Pongetti S. Rao G. Romeo J.E. Ruhl F. Scaramuzzi D. Sforna N. Vittorio

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keywords noisedatamethodapplicationboomerangboomerang98datasetsdescribe

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We describe here an iterative method for jointly estimating the noise power spectrum from a CMB experiment's time-ordered data, together with the maximum-likelihood map. We test the robustness of this method on simulated Boomerang datasets with realistic noise.

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