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Open AccessJournal ArticleDOI

A Perturbative Analysis of Synchrotron Spectral Index Variation over the Microwave Sky

TLDR
In this paper, a perturbative approach was proposed to estimate the spectral index variation map of synchrotron Stokes Q signal over a region of sky dominated by the synchroron signal.
Abstract
In this paper, we implement a perturbative approach, first proposed by Bouchet & Gispert (1999), to estimate variation of spectral index of galactic polarized synchrotron emission, using linear combination of simulated Stokes Q polarization maps of selected frequency bands from WMAP and Planck observations on a region of sky dominated by the synchrotron Stokes Q signal. We find that, a first order perturbative analysis recovers input spectral index map well. Along with the spectral index variation map our method provides a fixed reference index, ^ 0s, over the sky portion being analyzed. Using Monte Carlo simulations we find that,h ^ 0si = -2:84 0:01, which matches very closely with position of a peak at s(p) = -2:85, of empirical probability density function of input synchrotron indices, obtained from the same sky region. For thermal dust, mean recovered spectral index,h ^ di = 2:00 0:004, from simulations, matches very well with spatially fixed input thermal dust spectral index d = 2:00. As accompanying results of the method we also reconstruct CMB, thermal dust and a synchrotron template component with fixed spectral indices over the entire sky region. We use full pixel-pixel noise covariance matrices of all frequency bands, estimated from the sky region being analyzed, to obtain reference spectral indices for synchrotron and thermal dust, spectral index variation map, CMB map, thermal dust and synchrotron template components. The perturbative technique as implemented in this work has the interesting property that it can build a model to describe the data with an arbitrary but enough degree of accuracy (and precession) as allowed by the data. We argue that, our method of reference spectral index determination, CMB map, thermal dust and synchrotron template component reconstruction is a maximum likelihood method. Subject headings: cosmic background radiation — cosmology: observations — diffuse radiation

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Journal ArticleDOI

An Improved Diffuse Foreground Subtraction by ILC method: CMB Map and Angular Power Spectrum using Planck and WMAP Observations

TL;DR: In this article, a multi-phase iterative internal-linear-combination (ILC) approach was proposed for diffuse foreground minimization from Cosmic Microwave Background (CMB) maps.
Journal ArticleDOI

Delta-map method of removing CMB foregrounds with spatially varying spectra

TL;DR: In this paper, the authors extended the internal template foreground removal method by accounting for spatially varying spectral parameters such as the spectral indices of synchrotron and dust emission and the dust temperature.
Journal ArticleDOI

A Global ILC Approach in Pixel Space over Large Angular Scales of the Sky using CMB Covariance Matrix

TL;DR: In this paper, a new internal linear combination (ILC) method was proposed to estimate a foreground minimized Cosmic Microwave Background (CMB) temperature anisotropy map by incorporating prior knowledge about the theoretical CMB covariance matrix.
References
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Journal ArticleDOI

Planck 2015 results - XIII. Cosmological parameters

Peter A. R. Ade, +337 more
TL;DR: In this article, the authors present a cosmological analysis based on full-mission Planck observations of temperature and polarization anisotropies of the cosmic microwave background (CMB) radiation.
Journal ArticleDOI

HEALPix: A Framework for High-Resolution Discretization and Fast Analysis of Data Distributed on the Sphere

TL;DR: This paper considers the requirements and implementation constraints on a framework that simultaneously enables an efficient discretization with associated hierarchical indexation and fast analysis/synthesis of functions defined on the sphere and demonstrates how these are explicitly satisfied by HEALPix.
Journal ArticleDOI

HEALPix -- a Framework for High Resolution Discretization, and Fast Analysis of Data Distributed on the Sphere

TL;DR: The Hierarchical Equal Area iso-Latitude Pixelization (HEALPix) as discussed by the authors is a data structure with an associated library of computational algorithms and visualization software that supports fast scientific applications executable directly on very large volumes of astronomical data and large area surveys in the form of discretized spherical maps.
Journal ArticleDOI

A Generalized inverse for matrices

TL;DR: A generalization of the inverse of a non-singular matrix is described in this paper as the unique solution of a certain set of equations, which is used here for solving linear matrix equations, and for finding an expression for the principal idempotent elements of a matrix.
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