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

Title: Predicting dust emission using galactic 21 cm data

Journal Article · · Journal of Cosmology and Astroparticle Physics
 [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)

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.

Research Organization:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP)
Grant/Contract Number:
SC0012704
OSTI ID:
1598489
Report Number(s):
BNL-213612-2020-JAAM; TRN: US2103289
Journal Information:
Journal of Cosmology and Astroparticle Physics, Vol. 2019, Issue 12; ISSN 1475-7516
Publisher:
Institute of Physics (IOP)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 2 works
Citation information provided by
Web of Science

References (17)

The Physical Nature of Neutral Hydrogen Intensity Structure journal April 2019
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
Deep learning journal May 2015
A New Probe of Line-of-sight Magnetic Field Tangling journal April 2018
GASS: The Parkes Galactic All-Sky Survey: Update: improved correction for instrumental effects and new data release journal June 2015
CMB spectra and bispectra calculations: making the flat-sky approximation rigorous journal February 2011
LiteBIRD: A Satellite for the Studies of B-Mode Polarization and Inflation from Cosmic Background Radiation Detection journal February 2019
The Effelsberg-Bonn H i Survey: Milky Way gas: First data release journal December 2015
Neutral Hydrogen Structures Trace Dust Polarization Angle: Implications for Cosmic Microwave Background Foregrounds journal December 2015
Unbiased pseudo- C power spectrum estimation with mode projection journal October 2016
A unified pseudo- C ℓ framework journal January 2019
Deconvolution and Checkerboard Artifacts journal October 2016
No evidence for dust B -mode decorrelation in Planck data journal February 2018
HEALPix: A Framework for High‐Resolution Discretization and Fast Analysis of Data Distributed on the Sphere journal April 2005
The Association of Gas and Dust from 21-CM Hydrogen Radio Observations. journal March 1955
HI4PI: a full-sky H i survey based on EBHIS and GASS journal October 2016
A Measurement of the Cosmic Microwave Background B-Mode Polarization with Polarbear journal September 2015