Deep Needlet: A CNN based full sky component separation method in Needlet space | Paper Citation Record

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Deep Needlet: A CNN based full sky component separation method in Needlet space Unresolved cited work

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This paper cites Measurements of the Intensity and Polarization of the Anomalous Microwave Emission in the Perseus molecular complex with QUIJOTE.

Deep Needlet: A CNN based full sky component separation method in Needlet space Measurements of the Intensity and Polarization of the Anomalous Microwave Emission in the Perseus molecular complex with QUIJOTE

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This paper cites The Simons Observatory: Project Overview.

Deep Needlet: A CNN based full sky component separation method in Needlet space The Simons Observatory: Project Overview

Reference 3

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Observation 3c33e855-4cba-43c0-84ca-c93193ea3e6d · outbound

This paper cites Gualtieri, J.

Deep Needlet: A CNN based full sky component separation method in Needlet space Gualtieri, J

Reference 4

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This paper cites 2017 upgrade and performance of BICEP3: a 95GHz refracting telescope for degree-scale CMB polarization.

Deep Needlet: A CNN based full sky component separation method in Needlet space 2017 upgrade and performance of BICEP3: a 95GHz refracting telescope for degree-scale CMB polarization

Reference 5

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Observation 24a71871-0454-488b-96a6-28d6106ea693 · outbound

This paper cites The Atacama Cosmology Telescope: A Measurement of the Cosmic Microwave Background Power Spectra at 98 and 150 GHz.

Deep Needlet: A CNN based full sky component separation method in Needlet space The Atacama Cosmology Telescope: A Measurement of the Cosmic Microwave Background Power Spectra at 98 and 150 GHz

Reference 6

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Deep Needlet: A CNN based full sky component separation method in Needlet space Unresolved cited work

Reference 7

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Observation 99e2b372-45d5-4668-88fb-37a53bf9c4df · outbound

This paper cites Planck 2018 results. I. Overview and the cosmological legacy of Planck.

Deep Needlet: A CNN based full sky component separation method in Needlet space Planck 2018 results. I. Overview and the cosmological legacy of Planck

Reference 8

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Observation 0cc5fe93-61bc-4524-85c6-90aecc2121a2 · outbound

This paper cites PICO: Probe of Inflation and Cosmic Origins.

Deep Needlet: A CNN based full sky component separation method in Needlet space PICO: Probe of Inflation and Cosmic Origins

Reference 9

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This paper cites Hazumi et al., LiteBIRD: A Satellite for the Studies of B-Mode Polarization and Inflation from Cosmic Background Radiation Detection , J.

Deep Needlet: A CNN based full sky component separation method in Needlet space Hazumi et al., LiteBIRD: A Satellite for the Studies of B-Mode Polarization and Inflation from Cosmic Background Radiation Detection , J

Reference 10

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Observation 501597c2-8027-4cff-aa66-c16e105bbecc · outbound

This paper cites $B$-mode forecast of CMB-Bh$\overline{a}$rat.

Deep Needlet: A CNN based full sky component separation method in Needlet space $B$-mode forecast of CMB-Bh$\overline{a}$rat

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:48:15.294756Z

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Observation 02fe5598-59f0-4e9c-a865-e80a96797723 · outbound

This paper cites Ichiki, CMB foreground: A concise review , Progress of Theoretical and Experimental Physics 2014 (2014) 06B109.

Deep Needlet: A CNN based full sky component separation method in Needlet space Ichiki, CMB foreground: A concise review , Progress of Theoretical and Experimental Physics 2014 (2014) 06B109

Reference 12

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Observation a56875a7-1548-43aa-b6c4-9d3062c2987b · outbound

This paper cites Tegmark, How to measure cmb power spectra without losing information , Phys.

Deep Needlet: A CNN based full sky component separation method in Needlet space Tegmark, How to measure cmb power spectra without losing information , Phys

Reference 13

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Observation 237ce9f8-a189-4af7-9412-9ccbc584d6ec · outbound

This paper cites Delabrouille, J.-F.

Deep Needlet: A CNN based full sky component separation method in Needlet space Delabrouille, J.-F

Reference 14

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Observation a4dbbb9b-3965-4fcb-b886-c4c099047d60 · outbound

This paper cites Joint Bayesian component separation and CMB power spectrum estimation.

Deep Needlet: A CNN based full sky component separation method in Needlet space Joint Bayesian component separation and CMB power spectrum estimation

Reference 15

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This paper cites A full sky, low foreground, high resolution CMB map from WMAP.

Deep Needlet: A CNN based full sky component separation method in Needlet space A full sky, low foreground, high resolution CMB map from WMAP

Reference 16

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Observation bfc3392b-d5ae-4811-be4f-3d7b44143be0 · outbound

This paper cites Basak and J.

Deep Needlet: A CNN based full sky component separation method in Needlet space Basak and J

Reference 17

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Observation 8b8557de-7e98-42bb-ae87-a4a42512f8ba · outbound

This paper cites Fern´ andez-Cobos, P.

Deep Needlet: A CNN based full sky component separation method in Needlet space Fern´ andez-Cobos, P

Reference 18

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Observation 1e311113-4164-417a-a4ad-a41652d37fb5 · outbound

This paper cites SILC: a new Planck Internal Linear Combination CMB temperature map using directional wavelets.

Deep Needlet: A CNN based full sky component separation method in Needlet space SILC: a new Planck Internal Linear Combination CMB temperature map using directional wavelets

Reference 19

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Observation 73ce60f9-6dda-41a8-9aee-0f94298b17b6 · outbound

This paper cites Peeling off foregrounds with the constrained moment ILC method to unveil primordial CMB $B$-modes.

Deep Needlet: A CNN based full sky component separation method in Needlet space Peeling off foregrounds with the constrained moment ILC method to unveil primordial CMB $B$-modes

Reference 20

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Deep Needlet: A CNN based full sky component separation method in Needlet space Unresolved cited work

Reference 21

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Observation bc71d8e4-1ac7-4e11-802f-e626af4725ad · outbound

This paper cites Optimization of foreground moment deprojection for semi-blind CMB polarization reconstruction.

Deep Needlet: A CNN based full sky component separation method in Needlet space Optimization of foreground moment deprojection for semi-blind CMB polarization reconstruction

Reference 22

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Observation 420f6397-0ac4-42b9-83f1-cd354ba4e360 · outbound

This paper cites Stompor, S.

Deep Needlet: A CNN based full sky component separation method in Needlet space Stompor, S

Reference 23

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Observation 6f2f22f3-8328-48ab-866f-ac9dd3d312eb · outbound

This paper cites Basak and J.

Deep Needlet: A CNN based full sky component separation method in Needlet space Basak and J

Reference 24

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Observation b2bfe81d-be57-4479-9ffc-19bc982c041d · outbound

This paper cites CMB map derived from the WMAP data through Harmonic Internal Linear Combination.

Deep Needlet: A CNN based full sky component separation method in Needlet space CMB map derived from the WMAP data through Harmonic Internal Linear Combination

Reference 25

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Deep Needlet: A CNN based full sky component separation method in Needlet space Unresolved cited work

Reference 26

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Observation ffdf5f07-0878-4d99-b1bc-2829bde7dbc5 · outbound

This paper cites Russell and P.

Deep Needlet: A CNN based full sky component separation method in Needlet space Russell and P

Reference 27

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Observation fee83045-9ea1-4ab3-8d55-d3e10cef8e64 · outbound

This paper cites Foreground removal from WMAP 5yr temperature maps using an MLP neural network.

Deep Needlet: A CNN based full sky component separation method in Needlet space Foreground removal from WMAP 5yr temperature maps using an MLP neural network

Reference 28

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This paper cites Estimating Cosmological Parameters from the Dark Matter Distribution.

Deep Needlet: A CNN based full sky component separation method in Needlet space Estimating Cosmological Parameters from the Dark Matter Distribution

Reference 29

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This paper cites A Generative Model of Galactic Dust Emission Using Variational Inference.

Deep Needlet: A CNN based full sky component separation method in Needlet space A Generative Model of Galactic Dust Emission Using Variational Inference

Reference 30

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This paper cites A deep learning model to emulate simulations of cosmic reionization.

Deep Needlet: A CNN based full sky component separation method in Needlet space A deep learning model to emulate simulations of cosmic reionization

Reference 31

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This paper cites DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks.

Deep Needlet: A CNN based full sky component separation method in Needlet space DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks

Reference 32

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Observation a32017c5-da5f-43b3-a422-36d55f5c53a0 · outbound

This paper cites Choudhury, A.

Deep Needlet: A CNN based full sky component separation method in Needlet space Choudhury, A

Reference 33

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This paper cites Constraining the astrophysics and cosmology from 21cm tomography using deep learning with the SKA.

Deep Needlet: A CNN based full sky component separation method in Needlet space Constraining the astrophysics and cosmology from 21cm tomography using deep learning with the SKA

Reference 34

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This paper cites Deep Learning the Intergalactic Medium using Lyman-alpha Forest at $ 4 \leq z \leq 5$.

Deep Needlet: A CNN based full sky component separation method in Needlet space Deep Learning the Intergalactic Medium using Lyman-alpha Forest at $ 4 \leq z \leq 5$

Reference 35

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This paper cites Reconstructing Patchy Reionization with Deep Learning.

Deep Needlet: A CNN based full sky component separation method in Needlet space Reconstructing Patchy Reionization with Deep Learning

Reference 36

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This paper cites An Unbiased Estimator of the Full-sky CMB Angular Power Spectrum at Large Scales using Neural Networks.

Deep Needlet: A CNN based full sky component separation method in Needlet space An Unbiased Estimator of the Full-sky CMB Angular Power Spectrum at Large Scales using Neural Networks

Reference 37

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This paper cites Single frequency CMB B-mode inference with realistic foregrounds from a single training image.

Deep Needlet: A CNN based full sky component separation method in Needlet space Single frequency CMB B-mode inference with realistic foregrounds from a single training image

Reference 38

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Observation ab825f8e-e9cd-45b8-9904-8d8b94d0e79d · outbound

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Deep Needlet: A CNN based full sky component separation method in Needlet space Signal-preserving CMB component separation with machine learning

Reference 39

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This paper cites Neural network prediction of model parameters for strong lensing samples from Hyper Suprime-Cam Survey.

Deep Needlet: A CNN based full sky component separation method in Needlet space Neural network prediction of model parameters for strong lensing samples from Hyper Suprime-Cam Survey

Reference 40

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This paper cites Accurate and Unbiased Reconstruction of CMB B Mode using Deep Learning.

Deep Needlet: A CNN based full sky component separation method in Needlet space Accurate and Unbiased Reconstruction of CMB B Mode using Deep Learning

Reference 41

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Observation 54020038-ab70-482c-a9d4-9ba901064337 · outbound

This paper cites Recovering Cosmic Microwave Background Polarization Signals with Machine Learning.

Deep Needlet: A CNN based full sky component separation method in Needlet space Recovering Cosmic Microwave Background Polarization Signals with Machine Learning

Reference 42

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This paper cites Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction.

Deep Needlet: A CNN based full sky component separation method in Needlet space Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction

Reference 43

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Observation c4c9e1fa-a5e6-45ba-af20-91da0ba5af03 · outbound

This paper cites Spherical Needlets for CMB Data Analysis.

Deep Needlet: A CNN based full sky component separation method in Needlet space Spherical Needlets for CMB Data Analysis

Reference 44

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This paper cites Spherical CNNs.

Deep Needlet: A CNN based full sky component separation method in Needlet space Spherical CNNs

Reference 45

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Observation f82dad22-a95d-4708-a6b3-4f5b3e4bac4b · outbound

This paper cites Spherical CNNs on Unstructured Grids.

Deep Needlet: A CNN based full sky component separation method in Needlet space Spherical CNNs on Unstructured Grids

Reference 46

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This paper cites Convolutional Neural Networks on the HEALPix sphere: a pixel-based algorithm and its application to CMB data analysis.

Deep Needlet: A CNN based full sky component separation method in Needlet space Convolutional Neural Networks on the HEALPix sphere: a pixel-based algorithm and its application to CMB data analysis

Reference 47

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Observation 7d0b84be-d679-4d2e-8205-1f8f1029e3a8 · outbound

This paper cites Approximate Equivariance SO(3) Needlet Convolution.

Deep Needlet: A CNN based full sky component separation method in Needlet space Approximate Equivariance SO(3) Needlet Convolution

Reference 48

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Observation b1e12303-d4b4-4e7a-b992-988f2d20c39c · outbound

This paper cites DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications.

Deep Needlet: A CNN based full sky component separation method in Needlet space DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications

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Resolution: verified exact; local_arxiv, observed 2026-08-10T20:48:11.864745Z

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Observation 67c2095c-53ed-4fa6-a8fa-0a7f50ffb6f0 · outbound

This paper cites Full-sky Cosmic Microwave Background Foreground Cleaning Using Machine Learning.

Deep Needlet: A CNN based full sky component separation method in Needlet space Full-sky Cosmic Microwave Background Foreground Cleaning Using Machine Learning

Reference 50

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This paper cites Recovering the CMB Signal with Machine Learning.

Deep Needlet: A CNN based full sky component separation method in Needlet space Recovering the CMB Signal with Machine Learning

Reference 51

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

Deep Needlet: A CNN based full sky component separation method in Needlet space U-Net: Convolutional Networks for Biomedical Image Segmentation

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This paper cites Component-separated, CIB-cleaned thermal Sunyaev--Zel'dovich maps from $\textit{Planck}$ PR4 data with a flexible public needlet ILC pipeline.

Deep Needlet: A CNN based full sky component separation method in Needlet space Component-separated, CIB-cleaned thermal Sunyaev--Zel'dovich maps from $\textit{Planck}$ PR4 data with a flexible public needlet ILC pipeline

Reference 53

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This paper cites Deep Residual Learning for Image Recognition.

Deep Needlet: A CNN based full sky component separation method in Needlet space Deep Residual Learning for Image Recognition

Reference 54

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Observation a4f51680-c8a3-400e-bab8-ee85f6e8d707 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Deep Needlet: A CNN based full sky component separation method in Needlet space Adam: A Method for Stochastic Optimization

Reference 55

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Observation 4e96580d-6b64-4092-881c-738f8f97b12c · outbound

This paper cites Planck 2018 results. VI. Cosmological parameters.

Deep Needlet: A CNN based full sky component separation method in Needlet space Planck 2018 results. VI. Cosmological parameters

Reference 56

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Observation 9ce5190f-9d80-428f-8de2-8ee238561f86 · outbound

This paper cites The Python Sky Model: software for simulating the Galactic microwave sky.

Deep Needlet: A CNN based full sky component separation method in Needlet space The Python Sky Model: software for simulating the Galactic microwave sky

Reference 57

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Observation 955976b8-a414-4717-ad05-d32d6a8b7a5b · outbound

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

Deep Needlet: A CNN based full sky component separation method in Needlet space Planck 2015 results. X. Diffuse component separation: Foreground maps

Reference 58

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Observation 0cd7e08b-e303-4197-9f5b-6ced099955a9 · outbound

This paper cites Remazeilles, C.

Deep Needlet: A CNN based full sky component separation method in Needlet space Remazeilles, C

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:15.991659Z

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Observation 27d324f9-bec9-4591-ad65-504df9bcf2ae · outbound

This paper cites Separation of anomalous and synchrotron emissions using WMAP polarization data.

Deep Needlet: A CNN based full sky component separation method in Needlet space Separation of anomalous and synchrotron emissions using WMAP polarization data

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T20:48:08.364754Z

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Observation 832207a3-0872-466e-ad3c-367b8c2496de · outbound

This paper cites A refined model for spinning dust radiation.

Deep Needlet: A CNN based full sky component separation method in Needlet space A refined model for spinning dust radiation

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Resolution: verified exact; local_arxiv, observed 2026-08-10T20:48:10.664188Z

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Observation 1fd34f86-b385-46fa-933c-7551d67e015c · outbound

This paper cites Quantum Suppression of Alignment in Ultrasmall Grains: Microwave Emission from Spinning Dust will be Negligibly Polarized.

Deep Needlet: A CNN based full sky component separation method in Needlet space Quantum Suppression of Alignment in Ultrasmall Grains: Microwave Emission from Spinning Dust will be Negligibly Polarized

Reference 62

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Observation ae190a53-ed2d-47d3-9183-ad4a1c242f41 · outbound

This paper cites Planck 2013 results. XI. All-sky model of thermal dust emission.

Deep Needlet: A CNN based full sky component separation method in Needlet space Planck 2013 results. XI. All-sky model of thermal dust emission

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T20:48:08.504876Z

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Observation f5442af5-464f-4a96-b2b8-053cfacdadde · outbound

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

Deep Needlet: A CNN based full sky component separation method in Needlet space Planck 2015 results. XXV. Diffuse low-frequency Galactic foregrounds

Reference 64

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Observation dbf15ece-1132-4538-82de-2b84f9914b43 · outbound

This paper cites QUIJOTE scientific results -- IV. A northern sky survey in intensity and polarization at 10-20GHz with the Multi-Frequency Instrument.

Deep Needlet: A CNN based full sky component separation method in Needlet space QUIJOTE scientific results -- IV. A northern sky survey in intensity and polarization at 10-20GHz with the Multi-Frequency Instrument

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:48:10.134632Z

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Observation 475bff8a-8f0f-4f5b-9252-326e870ea1f9 · outbound

This paper cites MILCA, a Modified Internal Linear Combination Algorithm to extract astrophysical emissions from multi-frequency sky maps.

Deep Needlet: A CNN based full sky component separation method in Needlet space MILCA, a Modified Internal Linear Combination Algorithm to extract astrophysical emissions from multi-frequency sky maps

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T20:48:08.654994Z

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Observation 1e44bd17-b240-4d46-b80f-1e4e5bcb305e · outbound

This paper cites The Websky Extragalactic CMB Simulations.

Deep Needlet: A CNN based full sky component separation method in Needlet space The Websky Extragalactic CMB Simulations

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T20:48:08.714760Z

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Observation 9b1d83f5-a944-46c5-8e20-4250c7e6ed08 · outbound

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

Deep Needlet: A CNN based full sky component separation method in Needlet space HEALPix -- a Framework for High Resolution Discretization, and Fast Analysis of Data Distributed on the Sphere

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T20:48:08.754759Z

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Observation 5f729e03-9919-4db2-82eb-0c91e9275175 · outbound

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

Deep Needlet: A CNN based full sky component separation method in Needlet space Planck 2018 results. IV. Diffuse component separation

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T20:48:08.804989Z

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Observation 0fd5aaab-c433-4fa5-bb80-7ce1d5017f90 · outbound

This paper cites Planck 2015 results. XXVI. The Second Planck Catalogue of Compact Sources.

Deep Needlet: A CNN based full sky component separation method in Needlet space Planck 2015 results. XXVI. The Second Planck Catalogue of Compact Sources

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Resolution: unresolved; no resolver link, observed 2026-08-10T20:48:08.854036Z

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Observation b3344b9a-85e9-4960-a812-cb6fbb9ac3c6 · outbound

This paper cites Xspect, estimation of the angular power spectrum by computing cross-power spectra with analytical error bars.

Deep Needlet: A CNN based full sky component separation method in Needlet space Xspect, estimation of the angular power spectrum by computing cross-power spectra with analytical error bars

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:48:09.281253Z

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Observation d773d6eb-e83d-45db-953d-32d878e153aa · outbound

This paper cites Planck 2018 results. III. High Frequency Instrument data processing and frequency maps.

Deep Needlet: A CNN based full sky component separation method in Needlet space Planck 2018 results. III. High Frequency Instrument data processing and frequency maps

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T20:48:08.934742Z

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Observation 76b09e5a-fec1-4857-aae8-af67a7b87e08 · outbound

This paper cites Hybrid summary statistics: neural weak lensing inference beyond the power spectrum.

Deep Needlet: A CNN based full sky component separation method in Needlet space Hybrid summary statistics: neural weak lensing inference beyond the power spectrum

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-10T20:48:08.979867Z

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