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

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

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.

Xehetasun bibliografikoak
Egile Nagusiak: Prunet, S, Ade, P, Bock, J, Bond, JR, Borrill, J, Boscaleri, A, Coble, K, Crill, B, Bernardis, P, Gasperis, G, Troia, G, Farese, P, Ferreira, P, Ganga, K, Giacometti, M, Hivon, E, Hristov, V, Iacoangeli, A, Jaffe, A, Lange, A, Martinis, L, Masi, S, Mason, P, Mauskopf, P, Melchiorri, A, Miglio, L, Montroy, T, Netterfield, C, Pascale, E, Piacentini, F, Pogosyan, D, Pongetti, F, Rao, S, Romeo, G, Ruhl, J, Scaramuzzi, F, Sforna, D, Vittorio, N
Formatua: Working paper
Argitaratua: 2001
Deskribapena
Gaia: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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