Single Frequency CMB Foreground Removal with Inter-scale Machine Learning | Paper Citation Record

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This paper cites Notably, Ref.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Notably, Ref

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This paper cites #$%=2.13×10&' 𝑓!.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning #$%=2.13×10&' 𝑓!

Reference 2

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This paper cites This network is able to achieve statistically significant correlations between the reconstruction and the truth, in both harmonic and pixel space (see Table.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning This network is able to achieve statistically significant correlations between the reconstruction and the truth, in both harmonic and pixel space (see Table

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This paper cites These allow the UNet to leverage physical processes in the Galactic field that couple different components of the foregrounds.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning These allow the UNet to leverage physical processes in the Galactic field that couple different components of the foregrounds

Reference 4

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This paper cites We find that using just E-modes results in more accurate and consistent reconstructions than the small-scale B-modes alone.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning We find that using just E-modes results in more accurate and consistent reconstructions than the small-scale B-modes alone

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This paper cites This is reduced by a network trained on ILC foreground estimates ˆF ILC i tof resid = 1.00×10 −3 (∼2.7×lower), removing residual anisotropic power that ILC could not mitigate.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning This is reduced by a network trained on ILC foreground estimates ˆF ILC i tof resid = 1.00×10 −3 (∼2.7×lower), removing residual anisotropic power that ILC could not mitigate

Reference 6

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Unresolved cited work

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This paper cites Going forward, several important limitations must be addressed before these methods can be applied to observational data.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Going forward, several important limitations must be addressed before these methods can be applied to observational data

Reference 8

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Unresolved cited work

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This paper cites We also employ aReduceLROnPlateaulearning rate scheduler that reduces the learning rate by factor 0.5 when validation loss does not change over an interval of 10 epochs.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning We also employ aReduceLROnPlateaulearning rate scheduler that reduces the learning rate by factor 0.5 when validation loss does not change over an interval of 10 epochs

Reference 10

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Observation 3f61034e-bf3c-450b-969b-dd3e87fb0a95 · outbound

This paper cites Planck 2018 results. XI. Polarized dust foregrounds.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Planck 2018 results. XI. Polarized dust foregrounds

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Unresolved cited work

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Observation fe7b9d21-4050-4c97-8b05-6ffbdc821292 · outbound

This paper cites Synchrotron Radiation as CMB Foreground.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Synchrotron Radiation as CMB Foreground

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Observation 2226e141-90bd-4aa0-aa96-dcf895a66925 · outbound

This paper cites Towards a free-free template for CMB foregrounds.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Towards a free-free template for CMB foregrounds

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Observation a637670d-40fd-4a54-835a-e46e11d73b1d · outbound

This paper cites Planck 2015 results. X. Diffuse component separation: Foreground maps.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Planck 2015 results. X. Diffuse component separation: Foreground maps

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This paper cites Nine-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Final Maps and Results.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Nine-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Final Maps and Results

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This paper cites Signature of Gravity Waves in Polarization of the Microwave Background.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Signature of Gravity Waves in Polarization of the Microwave Background

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This paper cites A Probe of Primordial Gravity Waves and Vorticity.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning A Probe of Primordial Gravity Waves and Vorticity

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This paper cites Measuring Polarization In Cosmic Microwave Background.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Measuring Polarization In Cosmic Microwave Background

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This paper cites Improved limits on the tensor-to-scalar ratio using BICEP and Planck.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Improved limits on the tensor-to-scalar ratio using BICEP and Planck

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Weak Gravitational Lensing of the CMB

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This paper cites Planck 2015 results. XXV. Diffuse low-frequency Galactic foregrounds.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Planck 2015 results. XXV. Diffuse low-frequency Galactic foregrounds

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This paper cites Planck 2018 results. IV. Diffuse component separation.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Planck 2018 results. IV. Diffuse component separation

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Unresolved cited work

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning The Simons Observatory: Science goals and forecasts

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Abril-Cabezas, S

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This paper cites Probing Cosmic Inflation with the LiteBIRD Cosmic Microwave Background Polarization Survey.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Probing Cosmic Inflation with the LiteBIRD Cosmic Microwave Background Polarization Survey

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Unresolved cited work

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning On Foreground Removal from the Wilkinson Microwave Anisotropy Probe Data by an Internal Linear Combination Method: Limitations and Implications

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning A full sky, low foreground, high resolution CMB map from WMAP

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Advanced ACTPol Cryogenic Detector Arrays and Readout

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning The Atacama Cosmology Telescope: Component-separated maps of CMB temperature and the thermal Sunyaev-Zel'dovich effect

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning The Atacama Cosmology Telescope: High-resolution component-separated maps across one-third of the sky

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning The Simons Observatory: pipeline comparison and validation for large-scale B-modes

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning BROOM: a python package for model-independent analysis of microwave astronomical data

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning CMB/kSZ and Compton-$y$ Maps from 2500 square degrees of SPT-SZ and Planck Survey Data

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Planck intermediate results. XLVIII. Disentangling Galactic dust emission and cosmic infrared background anisotropies

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Vansyngel, F

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Dust-polarization maps for local interstellar turbulence

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Can the observed E/B ratio for dust galactic foreground be explained by sub-Alfvenic turbulence?

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Dust polarization and ISM turbulence

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Impact of Galactic dust non-Gaussianity on searches for B-modes from inflation

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Full-sky Cosmic Microwave Background Foreground Cleaning Using Machine Learning

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Improved Galactic Foreground Removal for B-Modes Detection with Clustering Methods

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Signal-preserving CMB component separation with machine learning

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Self-supervised component separation for the extragalactic submillimeter sky

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning CMBFSCNN: Cosmic Microwave Background Polarization Foreground Subtraction with Convolutional Neural Network

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Recovering Cosmic Microwave Background Polarization Signals with Machine Learning

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning A perceptron based ILC method to obtain accurate CMB B-mode angular power spectrum

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Deep Needlet: A CNN based full sky component separation method in Needlet space

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Yan, S.-Y

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Deep Learning for CMB Foreground Removal and Beam Deconvolution: A U-Net GAN Approach

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning PUREPath-B: A Tessellated Bayesian Model for Recovering CMB B-modes over Large Angular Scales of the Sky

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Gomez Bachar, C

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Single frequency CMB B-mode inference with realistic foregrounds from a single training image

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Observation a67aebf6-418b-40de-8f77-6564eddde46a · outbound

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Cleaning our own Dust: Simulating and Separating Galactic Dust Foregrounds with Neural Networks

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Cosmic ray propagation in turbulent magnetic fields

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This paper cites Statistical diagnostics to identify Galactic foregrounds in B-mode maps.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Statistical diagnostics to identify Galactic foregrounds in B-mode maps

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Borrill, S

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Electric Dipole Radiation from Spinning Dust Grains

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Observation 217c08ab-60ee-414f-965b-bf92e41628f5 · outbound

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Detection and Removal of B-mode Dust Foregrounds with Signatures of Statistical Anisotropy

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Full-sky, arcminute-scale, 3D models of Galactic microwave foreground dust emission based on filaments

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Cosmic Microwave Background Polarization

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Planck intermediate results. XLIV. The structure of the Galactic magnetic field from dust polarization maps of the southern Galactic cap

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Vacher, J

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Interstellar Turbulence I: Observations and Processes

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Observation 821ffdb6-98ca-446c-9033-5b8cbb46df97 · outbound

This paper cites Magnetic Misalignment of Interstellar Dust Filaments.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Magnetic Misalignment of Interstellar Dust Filaments

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Observation 5bb7bb50-5e83-4769-b189-5c6fbc1288ce · outbound

This paper cites The Origin of Parity Violation in Polarized Dust Emission and Implications for Cosmic Birefringence.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning The Origin of Parity Violation in Polarized Dust Emission and Implications for Cosmic Birefringence

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This paper cites Modeling parity-violating spectra in Galactic dust polarization with filaments and its applications to cosmic birefringence searches.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Modeling parity-violating spectra in Galactic dust polarization with filaments and its applications to cosmic birefringence searches

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Observation d07e2118-a5d4-4ae5-8ed0-fa4aaa56fa55 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning U-Net: Convolutional Networks for Biomedical Image Segmentation

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Observation 6258b207-e412-4ce8-8fe5-dd7ced5b7fc6 · outbound

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Adam: A Method for Stochastic Optimization

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Observation 50611201-92b4-491d-ad81-85220f776a85 · outbound

This paper cites Optuna: A Next-generation Hyperparameter Optimization Framework.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Optuna: A Next-generation Hyperparameter Optimization Framework

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Observation d4b8c6d9-6b51-47cf-b712-13d119ce0ec1 · outbound

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning The HEALPix Primer

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Observation d375b2ca-8c26-434c-a06d-f5dc51670784 · outbound

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

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning HEALPix -- a Framework for High Resolution Discretization, and Fast Analysis of Data Distributed on the Sphere

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Observation 0acb2b63-b200-44e1-96cd-40225fd03d5c · outbound

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Lewis and A

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Planck 2018 results. VI. Cosmological parameters

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Kamionkowski, A

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Tegmark, D

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This paper cites Almost all entries in the character table of the symmetric group are multiples of any given prime.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Almost all entries in the character table of the symmetric group are multiples of any given prime

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Thorne, J

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Goodfellow, Y

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Unresolved cited work

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Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Evidence for Line-of-Sight Frequency Decorrelation of Polarized Dust Emission in $Planck$ Data

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This paper cites Planck intermediate results. XXX. The angular power spectrum of polarized dust emission at intermediate and high Galactic latitudes.

Single Frequency CMB Foreground Removal with Inter-scale Machine Learning Planck intermediate results. XXX. The angular power spectrum of polarized dust emission at intermediate and high Galactic latitudes

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Observation c00bbc11-1b5f-4cbe-8db1-7e5f8a59a348 · outbound

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Observation 505a01ca-1dff-4fd3-81ca-3a55ae260402 · outbound

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