Making Maps Of The Cosmic Microwave Background: The MAXIMA Example

Abstract

This work describes Cosmic Microwave Background (CMB) data analysis algorithms and their implementations, developed to produce a pixelized map of the sky and a corresponding pixel-pixel noise correlation matrix from time ordered data for a CMB mapping experiment. We discuss in turn algorithms for estimating noise properties from the time ordered data, techniques for manipulating the time ordered data, and a number of variants of the maximum likelihood map-making procedure. We pay particular attention to issues pertinent to real CMB data, and present ways of incorporating them within the framework of maximum likelihood map-making. Making a map of the sky is shown to be not only an intermediate step rendering an image of the sky, but also an important diagnostic stage, when tests for and/or removal of systematic effects can efficiently be performed. The case under study is the MAXIMA data set. However, the methods discussed are expected to be applicable to the analysis of other current and forthcoming CMB experiments.

Replaced to match the published version, only minor changes

References in corpus (7)

• A High Spatial Resolution Analysis of the MAXIMA-1 Cosmic Microwave Background Anisotropy Data
• Cosmological implications of the MAXIMA-I high resolution Cosmic Microwave Background anisotropy measurement
• Tests for Gaussianity of the MAXIMA-1 CMB Map
• A Map-Making Algorithm for the Planck Surveyor
• MAPCUMBA : a fast iterative multi-grid map-making algorithm for CMB experiments
• Spherical Mexican Hat wavelet: an application to detect non-Gaussianity in the COBE-DMR maps
• CMB Power Spectrum Estimation via Hierarchical Decomposition

Cited by in corpus (47)

• SCUBA-2: iterative map-making with the Sub-Millimetre User Reduction Facility
• Improved measurements of the temperature and polarization of the CMB from QUaD
• The Cosmic Microwave Background Anisotropy Power Spectrum measured by Archeops
• First Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Data Processing Methods and Systematic Errors Limits
• Information field theory for cosmological perturbation reconstruction and non-linear signal analysis
• Clustering of Sloan Digital Sky Survey III Photometric Luminous Galaxies: The Measurement, Systematics and Cosmological Implications
• The data reduction pipeline for the Hi-GAL survey
• Application of Monte Carlo Algorithms to the Bayesian Analysis of the Cosmic Microwave Background
• Bayesian reconstruction of the cosmological large-scale structure: methodology, inverse algorithms and numerical optimization
• Maximum Likelihood algorithm for parametric component separation in CMB experiments
• SANEPIC: A Map-Making Method for Timestream Data From Large Arrays
• MADmap: A Massively Parallel Maximum-Likelihood Cosmic Microwave Background Map-Maker
• Simulations for single-dish intensity mapping experiments
• ROMA: a map-making algorithm for polarised CMB data sets
• The nature of a gravitationally lensed sub-millimetre arc in MS0451.6-0305: two interacting galaxies at z~2.9?
• MAXIPOL: Data Analysis and Results
• Phase-Space Spectral Line De-confusion in Intensity Mapping
• Genus Topology of the Cosmic Microwave Background from WMAP
• 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
• Fast and precise map-making for massively multi-detector CMB experiments
• Observational Strategies of CMB Temperature and Polarization Interferometry Experiments
• MAXIMA: A Balloon-Borne Cosmic Microwave Background Anisotropy Experiment
• Exploring cosmic origins with CORE: mitigation of systematic effects
• Designs for next generation CMB survey strategies from Chile
• Instrumental systematics biases in CMB lensing reconstruction: a simulation-based assessment
• Making maps of Cosmic Microwave Background polarization for B-mode studies: the POLARBEAR example
• Residual noise covariance for Planck low-resolution data analysis
• Correlations Between the WMAP and MAXIMA Cosmic Microwave Background Anisotropy Maps
• Data analysis methods for the cosmic microwave background
• A hybrid map-$C_{\ell }$ component separation method for primordial CMB $B$-mode searches
• Determining Foreground Contamination in CMB Observations: Diffuse Galactic Emission in the MAXIMA-I Field
• CMB Polarization at Large Angular Scales: Data Analysis of the POLAR Experiment
• Iterative map-making with two-level preconditioning for polarized Cosmic Microwave Background data sets
• Accelerating Cosmic Microwave Background map-making procedure through preconditioning
• Cosmic Microwave Background Mapmaking with a Messenger Field
• CMB Power Spectrum Estimation for the Planck Surveyor
• Digital Deblurring of CMB Maps: Performance and Efficient Implementation
• MAPPRAISER: A massively parallel map-making framework for multi-kilo pixel CMB experiments
• The White Mountain Polarimeter Telescope and an Upper Limit on CMB Polarization
• How accurately can suborbital experiments measure the CMB?
• ARKCoS: Artifact-Suppressed Accelerated Radial Kernel Convolution on the Sphere
• The impact of beam deconvolution on noise properties in CMB measurements: Application to Planck LFI
• Effect of Fourier filters in removing periodic systematic effects from CMB data
• BrahMap: A scalable and modular map-making framework for the CMB experiments
• Using hybrid GPU/CPU kernel splitting to accelerate spherical convolutions
• Optimal map-making with singularities