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CMB lensing reconstruction with point source masks

Cosmology and Nongalactic Astrophysics · Submitted 11 Mar 2011

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim We recover the lensing signal without significant loss of power or addition of spurious correlations, thus showing that masking defected pixels does not affect the reconstruction of the weak lensing convergence in real space.

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arXiv ID1103.2305 (version 1)
Pith IDU6XL7GPZ, Pith's permanent record of this paper and its review
CitationC. Sofia Carvalho, Ismael Tereno. "CMB lensing reconstruction with point source masks." arXiv:1103.2305 (2011). https://pith.science/paper/U6XL7GPZ
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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,543 input tokens, $0.0001 reported.

What the abstract itself states, as probabilities: claims first 0.02 · states limitation 0.31 · human participants 0.01 · controlled comparison 0.20 · randomized assignment 0.02 · states quantitative result 0.07 · compares with prior results 0.15 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

An incomplete sky coverage poses difficulties in the extraction of the weak lensing information from the CMB. We test the reconstruction of the weak lensing convergence from CMB maps to which masks of point sources have been applied. We use the quadratic estimator with a kernel with finite support acting in real space for a Planck simulation. We recover the lensing signal without significant loss of power or addition of spurious correlations, thus showing that masking defected pixels does not affect the reconstruction of the weak lensing convergence in real space.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 An incomplete sky coverage poses difficulties in the extraction of the weak lensing information from the CMB. background 1.00 0.05 0.02 asserted 0.99
s1 We test the reconstruction of the weak lensing convergence from CMB maps to which masks of point sources have been applied. contribution 0.95 0.92 0.04 asserted 0.64
s2 We use the quadratic estimator with a kernel with finite support acting in real space for a Planck simulation. method 1.00 0.90 0.02 asserted 0.93
s3 We recover the lensing signal without significant loss of power or addition of spurious correlations, thus showing that masking defected pixels does not affect the reconstruction of the weak lensing convergence in real space. result 0.90 0.94 0.93 asserted 1.00

What kind of paper the classifier reports this is: simulation study 0.97 · evidence from simulation or computation 1.00.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

An incomplete sky coverage poses difficulties in the extraction of the weak lensing information from the CMB. We test the reconstruction of the weak lensing convergence from CMB maps to which masks of point sources have been applied. We use the quadratic estimator with a kernel with finite support acting in real space for a Planck simulation. We recover the lensing signal without significant loss of power or addition of spurious correlations, thus showing that masking defected pixels does not affect the reconstruction of the weak lensing convergence in real space.

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How the literature uses it

3 arXiv papers cite this in 7 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 4 sentences without a confident label

Uses its method or tool 1 paper
  • Here we base our measurement on an estimator with demonstrated insensitivity to uncorrelated noise [ref] and good handling of excision of points [ref] , which makes it a reliable tool for the extraction of the lensing signal from the WMAP data.

    CMB lensing reconstruction from the WMAP 7-year data · Introduction · 0.90

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What it cites · 21 sentences without a confident label

Uses the method or tool of 3 papers
  • Here we will use the real-space estimator introduced in Ref. [ref] , which is a real-space analog of the optimal estimator based on the convolution of the square of the lensed temperature map with a local kernel as follows κ̂_0(θ) =∫d^2θ^' T̃(θ^') ∫d^2θ^'' T̃(θ^'') Q(θ,θ^',θ^'').

    Real space estimator for the weak lensing convergence from the CMB · Estimator of the weak lensing convergence · 1.00

  • In summary, we first compute the TT and the $ψψ$ power spectra generated by CAMB [ref] , on scales $ℓ≤4000$, for a fiducial flat $Λ$CDM cosmology consisting of $h=0.7, Ω_cdmh^2=0.112, Ω_bh^2=0.0226, n_s=0.96, σ_8=0.85, τ_rei=0.09, T_0=2.725 K$.

    Efficient Computation of CMB anisotropies in closed FRW models · The point source mask · 0.98

  • In order to have the same noise amplitude in the maps, we adopt the so-called active incomplete sky-coverage strategy [ref] , which assumes the smaller coverage is compensated by longer observation times, reducing the noise per pixel as $=^fid(/^fid)^1/2.$ Alternatively, this can be seen as scaling the pixel size such as to cover the fiducial fraction of the sky.

    Ideal scales for weighing the Universe · The estimated map · 0.96

Uses data or values from 2 papers
Cites as background 7 papers

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