Tasking Citizen Scientists from Galaxy Zoo to Model Galaxy Collisions

GALAXY WARS: STELLAR POPULATIONS AND STAR FORMATION IN INTERACTING GALAXIES 423 (2010) 217-+

Authors:

John Wallin, Anthony Holincheck, Kirk Borne, Chris Lintott, Arfon Smith, Steven Bamford, Lucy Fortson

Tasking Citizen Scientists from Galaxy Zoo to Model Galaxy Collisions: Preliminary Results, Interface, Analysis

GALAXY WARS: STELLAR POPULATIONS AND STAR FORMATION IN INTERACTING GALAXIES 423 (2010) 223-+

Authors:

Anthony Holincheck, John Wallin, Kirk Borne, Chris Lintott, Arfon Smith, Steven Bamford, Lucy Fortson

The Grand Design

SCIENCE 330:6001 (2010) 179-180

Fast and precise map-making for massively multi-detector CMB experiments

(2009)

Authors:

D Sutton, JA Zuntz, PG Ferreira, ML Brown, HK Eriksen, BR Johnson, A Kusaka, SK Naess, IK Wehus

Fast and precise map-making for massively multi-detector CMB experiments

ArXiv 0912.2738 (2009)

Authors:

D Sutton, JA Zuntz, PG Ferreira, ML Brown, HK Eriksen, BR Johnson, A Kusaka, SK Naess, IK Wehus

Abstract:

Future cosmic microwave background (CMB) polarisation experiments aim to measure an unprecedentedly small signal - the primordial gravity wave component of the polarisation field B-mode. To achieve this, they will analyse huge datasets, involving years worth of time-ordered data (TOD) from massively multi-detector focal planes. This creates the need for fast and precise methods to complement the M-L approach in analysis pipelines. In this paper, we investigate fast map-making methods as applied to long duration, massively multi-detector, ground-based experiments, in the context of the search for B-modes. We focus on two alternative map-making approaches: destriping and TOD filtering, comparing their performance on simulated multi-detector polarisation data. We have written an optimised, parallel destriping code, the DEStriping CARTographer DESCART, that is generalised for massive focal planes, including the potential effect of cross-correlated TOD 1/f noise. We also determine the scaling of computing time for destriping as applied to a simulated full-season data-set for a realistic experiment. We find that destriping can out-perform filtering in estimating both the large-scale E and B-mode angular power spectra. In particular, filtering can produce significant spurious B-mode power via EB mixing. Whilst this can be removed, it contributes to the variance of B-mode bandpower estimates at scales near the primordial B-mode peak. For the experimental configuration we simulate, this has an effect on the possible detection significance for primordial B-modes. Destriping is a viable alternative fast method to the full M-L approach that does not cause the problems associated with filtering, and is flexible enough to fit into both M-L and Monte-Carlo pseudo-Cl pipelines.