Techniques for Compact Source Extraction in CMB Maps

Barreiro, R. B.

doi:10.1007/978-3-540-44767-2_7

Cited by 5 publications

(2 citation statements)

References 85 publications

(108 reference statements)

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“…As most of the emission comes from compact regions towards clusters of galaxies (at arcminute scales), most of the present-day CMB experiments do not resolve clusters individually (apart for a few known extended clusters). For this reason, it seems natural to use point source detection methods for cluster detection (see review by Barreiro [Barreiro (2005)]). However, the very specific spectral signature, the presence of a possibly large background of clusters with emission too weak for individual cluster detection, and the interesting possibility to detect larger scale diffuse SZ emission, makes looking for SZ effect with diffuse component separation methods an interesting option.…”

Section: Diffuse Component or Point Source Methods For Sz Effect Sepa...mentioning

confidence: 99%

Diffuse Source Separation in CMB Observations

Delabrouille

Cardoso

2008

Data Analysis in Cosmology

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ISBN: 978-3-540-23972-7Spectacular advances in the understanding of the Big-Bang model of cosmology have been due to increasingly accurate observations of the properties of the cosmic microwave background (CMB). The detector sensitivities of modern experiments have permitted to measure fluctuations of the CMB temperature with such a sensitivity that the contamination of the data by astrophysical foreground radiations, rather than by instrumental noise, is becoming the major source of limitation. This will be the case, in particular, for the upcoming observations by the Planck mission, to be launched by ESA in 2008 (Lamarre et al. [36], Mandolesi et al. [41], Lamarre et al. [35]), as well as for next-generation instruments dedicated to the observation of CMB polarization

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Section: Diffuse Component or Point Source Methods For Sz Effect Sepa...mentioning

confidence: 99%

Diffuse Source Separation in CMB Observations

Delabrouille

Cardoso

2008

Data Analysis in Cosmology

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“…In the other limit, there are cases where the signal of interest is some type of diffuse structured emission and point sources are the contaminants. A common approach is to mask out known or suspected point-source contaminants (e.g., Barreiro 2009), but such approaches can be problematic when the spatial density of point sources and/or beam size necessitates removing a significant fraction of the image (e.g., Zemcov et al 2014). Crucially, such removal is always to a finite detection limit, and the remaining point sources contaminate the estimate for the diffuse emission.…”

Section: Introductionmentioning

confidence: 99%

PCAT-DE: Reconstructing Pointlike and Diffuse Signals in Astronomical Images Using Spatial and Spectral Information

Feder

Butler

Daylan

et al. 2023

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Observational data from astronomical imaging surveys contain information about a variety of source populations and environments, and their complexity will increase substantially as telescopes become more sensitive. Even for existing observations, measuring the correlations between pointlike and diffuse emission can be crucial to correctly inferring the properties of any individual component. For this task, information is typically lost, because of conservative data cuts, aggressive filtering, or incomplete treatment of contaminated data. We present the code PCAT-DE, an extension of probabilistic cataloging, designed to simultaneously model pointlike and diffuse signals. This work incorporates both explicit spatial templates and a set of nonparametric Fourier component templates into a forward model of astronomical images, reducing the number of processing steps applied to the observed data. Using synthetic Herschel-SPIRE multiband observations, we demonstrate that point-source and diffuse emission can be reliably separated and measured. We present two applications of this model. For the first, we perform point-source detection/photometry in the presence of galactic cirrus and demonstrate that cosmic infrared background galaxy counts can be recovered in cases of significant contamination. In the second, we show that the spatially extended thermal Sunyaev–Zel’dovich effect signal can be reliably measured even when it is subdominant to the pointlike emission from individual galaxies.

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Anomalous diffusion of cosmic rays: A geometric approach

Buonocore

Sen

2021

AIP Advances

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In this work, we analyze the process leading to the occurrence of anomalous transport phenomena associated with galactic cosmic rays propagating through the interstellar space. The origin of non-conventional transport is found in the dynamics of cosmic rays dominated by long uninterrupted flights interspersed with interactions with magnetized scattering clouds. The process is analyzed via a geometric Monte Carlo model that is able to mimic the intrinsic non-local character of the investigated transport phenomena. Numerical results show the existence of ranges of density and re-emission strengths of the interstellar magnetic clouds leading to heavy-tailed (Lévy α-stable) distributions of the propagating cosmic rays denoting a marked superdiffusive character. The correspondence between the geometric Monte Carlo integration method proposed in this work and the fractional Green’s functions suggests a novel approach to efficiently performing integration in higher dimensional spaces.

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Techniques for Compact Source Extraction in CMB Maps

Cited by 5 publications

References 85 publications

Diffuse Source Separation in CMB Observations

Diffuse Source Separation in CMB Observations

PCAT-DE: Reconstructing Pointlike and Diffuse Signals in Astronomical Images Using Spatial and Spectral Information

Anomalous diffusion of cosmic rays: A geometric approach

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