skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

This content will become publicly available on December 6, 2020

Title: Predicting dust emission using galactic 21 cm data

Abstract

Understanding large-angular-scale galactic foregrounds is crucial for future CMB experiments aiming to detect B-mode polarization from primordial gravitational waves. Traditionally, the dust component has been separated using its different frequency dependence. However, using non-CMB observations has potential to increase fidelity and decrease the re-construction noise. In this exploratory paper we investigate the capability of galactic 21 cm observations to predict the dust foreground in intensity. We train a neural network to predict the dust foreground as measured by the Planck Satellite from the full velocity data-cube of galactic 21 cm emission as measured by the HI4PI survey. We demonstrate that information in the velocity structure clearly improves the predictive power over both a simple integrated emission model and a simple linear model. The improvement is significant at arc-minute scales but more modest at degree scales. Finally, this proof of principle on temperature data indicates that it might also be possible to improve foreground polarization templates from the same input data.

Authors:
 [1];  [2];  [2];  [2];  [3]
  1. Univ. of Science and Technology of China, Hefei (China); Brookhaven National Lab. (BNL), Upton, NY (United States)
  2. Brookhaven National Lab. (BNL), Upton, NY (United States)
  3. Univ. of Science and Technology of China, Hefei (China)
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
OSTI Identifier:
1598489
Report Number(s):
BNL-213612-2020-JAAM
Journal ID: ISSN 1475-7516
Grant/Contract Number:  
SC0012704
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Cosmology and Astroparticle Physics
Additional Journal Information:
Journal Volume: 2019; Journal Issue: 12; Journal ID: ISSN 1475-7516
Publisher:
Institute of Physics (IOP)
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; CMBR experiments; cosmological parameters from CMBR

Citation Formats

Zhang, Guangyu, Chiang, Chi-Ting, Sheehy, Chris, Slosar, Anže, and Wang, Jian. Predicting dust emission using galactic 21 cm data. United States: N. p., 2019. Web. doi:10.1088/1475-7516/2019/12/022.
Zhang, Guangyu, Chiang, Chi-Ting, Sheehy, Chris, Slosar, Anže, & Wang, Jian. Predicting dust emission using galactic 21 cm data. United States. doi:10.1088/1475-7516/2019/12/022.
Zhang, Guangyu, Chiang, Chi-Ting, Sheehy, Chris, Slosar, Anže, and Wang, Jian. Fri . "Predicting dust emission using galactic 21 cm data". United States. doi:10.1088/1475-7516/2019/12/022.
@article{osti_1598489,
title = {Predicting dust emission using galactic 21 cm data},
author = {Zhang, Guangyu and Chiang, Chi-Ting and Sheehy, Chris and Slosar, Anže and Wang, Jian},
abstractNote = {Understanding large-angular-scale galactic foregrounds is crucial for future CMB experiments aiming to detect B-mode polarization from primordial gravitational waves. Traditionally, the dust component has been separated using its different frequency dependence. However, using non-CMB observations has potential to increase fidelity and decrease the re-construction noise. In this exploratory paper we investigate the capability of galactic 21 cm observations to predict the dust foreground in intensity. We train a neural network to predict the dust foreground as measured by the Planck Satellite from the full velocity data-cube of galactic 21 cm emission as measured by the HI4PI survey. We demonstrate that information in the velocity structure clearly improves the predictive power over both a simple integrated emission model and a simple linear model. The improvement is significant at arc-minute scales but more modest at degree scales. Finally, this proof of principle on temperature data indicates that it might also be possible to improve foreground polarization templates from the same input data.},
doi = {10.1088/1475-7516/2019/12/022},
journal = {Journal of Cosmology and Astroparticle Physics},
number = 12,
volume = 2019,
place = {United States},
year = {2019},
month = {12}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on December 6, 2020
Publisher's Version of Record

Save / Share:

Works referenced in this record:

LiteBIRD: A Satellite for the Studies of B-Mode Polarization and Inflation from Cosmic Background Radiation Detection
journal, February 2019


No evidence for dust B -mode decorrelation in Planck data
journal, February 2018


A Measurement of the Cosmic Microwave Background B-Mode Polarization with Polarbear
journal, September 2015

  • Ade, P. A. R.; Akiba, Y.; Anthony, A. E.
  • Publications of The Korean Astronomical Society, Vol. 30, Issue 2
  • DOI: 10.5303/PKAS.2015.30.2.625

Unbiased pseudo- C power spectrum estimation with mode projection
journal, October 2016

  • Elsner, Franz; Leistedt, Boris; Peiris, Hiranya V.
  • Monthly Notices of the Royal Astronomical Society, Vol. 465, Issue 2
  • DOI: 10.1093/mnras/stw2752

A unified pseudo- C ℓ framework
journal, January 2019

  • Alonso, David; Sanchez, Javier; Slosar, Anže
  • Monthly Notices of the Royal Astronomical Society, Vol. 484, Issue 3
  • DOI: 10.1093/mnras/stz093

The Association of Gas and Dust from 21-CM Hydrogen Radio Observations.
journal, March 1955

  • Lilley, A. E.
  • The Astrophysical Journal, Vol. 121
  • DOI: 10.1086/146022

Neutral Hydrogen Structures Trace Dust Polarization Angle: Implications for Cosmic Microwave Background Foregrounds
journal, December 2015


A New Probe of Line-of-sight Magnetic Field Tangling
journal, April 2018


The Physical Nature of Neutral Hydrogen Intensity Structure
journal, April 2019

  • Clark, S. E.; Peek, J. E. G.; Miville-Deschênes, M. -A.
  • The Astrophysical Journal, Vol. 874, Issue 2
  • DOI: 10.3847/1538-4357/ab0b3b

HI4PI: a full-sky H i survey based on EBHIS and GASS
journal, October 2016


The Effelsberg-Bonn H i Survey: Milky Way gas: First data release
journal, December 2015


The Leiden/Argentine/Bonn (LAB) Survey of Galactic HI: Final data release of the combined LDS and IAR surveys with improved stray-radiation corrections
journal, September 2005


HEALPix: A Framework for High‐Resolution Discretization and Fast Analysis of Data Distributed on the Sphere
journal, April 2005

  • Gorski, K. M.; Hivon, E.; Banday, A. J.
  • The Astrophysical Journal, Vol. 622, Issue 2
  • DOI: 10.1086/427976

CMB spectra and bispectra calculations: making the flat-sky approximation rigorous
journal, February 2011

  • Bernardeau, Francis; Pitrou, Cyril; Uzan, Jean-Philippe
  • Journal of Cosmology and Astroparticle Physics, Vol. 2011, Issue 02
  • DOI: 10.1088/1475-7516/2011/02/015

Deep learning
journal, May 2015

  • LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey
  • Nature, Vol. 521, Issue 7553
  • DOI: 10.1038/nature14539

Deconvolution and Checkerboard Artifacts
journal, October 2016