Comparison of map-making algorithms for CMB experiments
arXiv:astro-ph/0501504 · doi:10.1051/0004-6361:20052845
Abstract
We have compared the cosmic microwave background (CMB) temperature anisotropy maps made from one-year time ordered data (TOD) streams that simulated observations of the originally planned 100 GHz Planck Low Frequency Instrument (LFI). The maps were made with three different codes. Two of these, ROMA and MapCUMBA, were implementations of maximum-likelihood (ML) map-making, whereas the third was an implementation of the destriping algorithm. The purpose of this paper is to compare these two methods, ML and destriping, in terms of the maps they produce and the angular power spectrum estimates derived from these maps. The difference in the maps produced by the two ML codes was found to be negligible. As expected, ML was found to produce maps with lower residual noise than destriping. In addition to residual noise, the maps also contain an error which is due to the effect of subpixel structure in the signal on the map-making method. This error is larger for ML than for destriping. If this error is not corrected a bias will be introduced in the power spectrum estimates. This study is related to Planck activities.
16 pages, 16 figures. To be published in A&A. For a version with better-quality figures, see http://www.physics.helsinki.fi/~tfo_cosm/tfo_planck.html
References in corpus (25)
- HEALPix -- a Framework for High Resolution Discretization, and Fast Analysis of Data Distributed on the Sphere
- A Line of Sight Approach to Cosmic Microwave Background Anisotropies
- MASTER of the CMB Anisotropy Power Spectrum: A Fast Method for Statistical Analysis of Large and Complex CMB Data Sets
- How to measure CMB power spectra without losing information
- How to make maps from CMB data without losing information
- Myths and Truths Concerning Estimation of Power Spectra
- Fast Convolution on the Sphere
- A Map-Making Algorithm for the Planck Surveyor
- MAPCUMBA : a fast iterative multi-grid map-making algorithm for CMB experiments
- The Planck-LFI instrument: analysis of the 1/f noise and implications for the scanning strategy
- A simulation pipeline for the Planck mission
- ROMA: a map-making algorithm for polarised CMB data sets
- Madam - a map-making method for CMB experiments
- "Sample Variance" in Small-Scale CMB Anisotropy Experiments
- Removing 1/f noise stripes in cosmic microwave background anisotropy observations
- Observability of secondary Doppler peaks in the CMBR power spectrum by experiments with small fields
- A maximum likelihood approach to the destriping technique
- Scanning strategy for mapping the Cosmic Microwave Background anisotropies with Planck
- Destriping of Polarized Data in a CMB Mission with a Circular Scanning Strategy
- Deconvolution Map-Making for Cosmic Microwave Background Observations
- PLANCK: systematic effects induced by periodic fluctuations of arbitrary shape
- Non-iterative methods to estimate the in-flight noise properties of CMB detectors
- Effects of Destriping Errors on Estimates of the CMB Power Spectrum
- Cosmic microwave background power spectrum estimation with the destriping technique
- CMB Power Spectrum Estimation for the Planck Surveyor
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- MADmap: A Massively Parallel Maximum-Likelihood Cosmic Microwave Background Map-Maker
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- Map-making in small field modulated CMB polarisation experiments: approximating the maximum-likelihood method
- Iterative destriping and photometric calibration for Planck-HFI, polarized, multi-detector map-making
- ArtDeco: A beam deconvolution code for absolute CMB measurements
- Residual noise covariance for Planck low-resolution data analysis
- Data analysis methods for the cosmic microwave background
- Markov Chain Beam Randomization: a study of the impact of PLANCK beam measurement errors on cosmological parameter estimation
- Towards efficient and optimal analysis of CMB anisotropies on a masked sky
- BeyondPlanck II. CMB map-making through Gibbs sampling
- A deconvolution map-making method for experiments with circular scanning strategies
- Pixel space convolution for cosmic microwave background experiments
- The impact of beam deconvolution on noise properties in CMB measurements: Application to Planck LFI
- SRoll3: A neural network approach to reduce large-scale systematic effects in the Planck High Frequency Instrument maps
- Modeling optical systematics for the Taurus CMB experiment
- Making Maps from Planck LFI 30GHz Data with Asymmetric Beams and Cooler Noise
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