activity
19972025
most citedMaps of Dust IR Emission for Use in Estimation of Reddening and CMBR Foregrounds

15.2k citations · 68.5k across the 177 of their papers we have counts for

collaborators
Showing 2020Show all

9 papers · 1 filter

astro-ph.GA2020★ 43 cited

Classification of Magnetohydrodynamic Simulations using Wavelet Scattering Transforms

Andrew K. Saydjari, Stephen K. N. Portillo, Zachary Slepian +3

The complex interplay of magnetohydrodynamics, gravity, and supersonic turbulence in the interstellar medium (ISM) introduces non-Gaussian structure that can complicate comparison…

astro-ph.GA2020★ 18 cited

The Catalogue for Astrophysical Turbulence Simulations (CATS)

B. Burkhart, S. Appel, S. Bialy +18

Turbulence is a key process in many fields of astrophysics. Advances in numerical simulations of fluids over the last several decades have revolutionized our understanding of turbu…

astro-ph.CO2020★ 10 cited

Impact of Dust on Spectral Distortion Measurements of the Cosmic Microwave Background

Ioana A. Zelko, Douglas P. Finkbeiner

Spectral distortions of the cosmic microwave background (CMB) are sensitive to energy injection by exotic physics in the early universe. The proposed Primordial Inflation Explorer…

astro-ph.GA2020★ 11 cited

Implications of Grain Size Distribution and Composition for the Correlation Between Dust Extinction and Emissivity

Ioana A. Zelko, Douglas P. Finkbeiner

We study the effect of variations in dust size distribution and composition on the correlation between the spectral shape of extinction (parameterized by ) and far-…

astro-ph.IM2020★ 1 cited

A Prospective ISRO-CfA Himalayan Sub-millimeter-wave Observatory Initiative

T. K. Sridharan, Shmuel Bialy, Raymond Blundell +20

The Smithsonian Astrophysical Observatory (SAO), a member of the Center for Astrophysics | Harvard and Smithsonian, is in discussions with the Space Applications Centre (SAC) of th…

astro-ph.GA2020★ 13 cited

Data-Driven Stellar Models

Gregory M. Green, Hans-Walter Rix, Leon Tschesche +7

We develop a data-driven model to map stellar parameters (effective temperature, surface gravity and metallicity) accurately and precisely to broad-band stellar photometry. This mo…