BFORE: A balloon-borne experiment to characterize large-s...

data.world2019-04-04 更新2024-07-13 收录

宇宙微波背景偏振

气球载天体物理实验

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https://data.world/us-nasa-gov/0d69947e-6308-4f94-bf00-6ce64bde5090 数据链接链接失效反馈

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资源简介：

BFORE: A balloon-borne experiment to characterize large-scale CMB polarization anisotropies and measure high frequenc...

创建时间：

2019-04-04

ACT-PLANCK DR4DR6 map healpix U survey collection

宇宙微波背景偏振

天体物理学数据

This is the U component of a low-resolution map representing a weighted average of the f090 and f150 linear polarization. For a slightly deeper map, we combined the DR4 based on...

B2FIND40

Sealed prediction: LiteBIRD inflationary tensor-to-scalar ratio

宇宙微波背景偏振

暴胀宇宙学参数预测

Sealed prediction file (plaintext) for LiteBIRD CMB B-mode polarization. Embargoed until 2031-06-01, on which date the file is automatically released by Zenodo. Predicts r = 3*sqrt(2)/N^2 ~= 0.003-0.0

Zenodo2026-05-07 更新30

Urgent whistleblower update Rotation Field of the Cosmic Microwave Background – Interior Propagation and Boundary-Driven Structure (v2.14)

宇宙微波背景偏振

电磁场生物效应

The Protocol of Silent Proteostatic Collapse Lead Researcher: Amy Condit Classification: Emergency Whistleblower Disclosure I. THE COSMIC SIGNAL The "22 Blue" signal is a verified, scale-dependent

DataCite Commons2026-05-04 更新10

BMachine 40GHz CMB Polarimeter sky maps

宇宙微波背景偏振

天文数据地图制作

Mapmaking/Destriping outputs in HEALPix format (generated using dst ) of channel 6 of the BMachine 40GHz ground polarimeter operated at White Mountain Research Station, CA. All files a

Figshare2018-01-29 更新30

MSFCM Paper IX — Cross-Correlation of the LoTSS DR2 Jet–Filament Anisotropy Tensor Q₂₂ with the Planck DR4 CMB Polarization Power Spectra: E-mode Confirmation and the B-mode Smoking Gun

宇宙微波背景偏振

宇宙学自旋记忆探测

Theoretical framework, spin-2 MASTER pseudo-C_ell estimator, and mock signal predictions for the cross-correlations C_ell^XE (Q22 x E-mode) and C_ell^XB (Q22 x B-mode) of the LoTSS DR2 jet-filament an

Zenodo2026-05-16 更新20

BFORE: A balloon-borne experiment to characterize large-s...

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