5 citations · 5 across the 9 of their papers we have counts for
8 papers · 1 filter
Implementation of frequency-correlated noise in CMB component separation: Method, Validation, and Early Applications
L. Zapelli, M. Bersanelli, L. P. L. Colombo +24
Parametric component separation methods used in cosmic microwave background (CMB) analyses commonly assume instrumental noise to be uncorrelated between frequency channels. This ap…
Cosmoglobe DR2. VI. Disentangling hot and cold thermal dust emission with Planck HFI
R. M. Sullivan, E. Gjerløw, M. Galloway +20
We present a four-component high-resolution model of thermal dust emission for microwave and sub-mm frequencies derived from Planck HFI, WHAM and Gaia. The resulting high-resolutio…
Cosmoglobe DR2. IV. Modelling starlight in DIRBE with Gaia and WISE
M. Galloway, E. Gjerløw, M. San +20
We present a model of starlight emission in the Diffuse Infrared Background Explorer (DIRBE) data between 1.25 and 25m based on \textit{Gaia} and WISE measurements. We include…
Cosmoglobe DR2. VII. Towards a concordance model of large-scale thermal dust emission for microwave and infrared frequencies
E. Gjerløw, R. M. Sullivan, R. Aurvik +20
We fit a four-component thermal dust model to COBE-DIRBE data between 3.5 and 240 micron within the global Bayesian end-to-end Cosmoglobe DR2 reanalysis. Following a companion anal…
Cosmoglobe DR2. V. Spatial correlations between thermal dust and ionized carbon emission in Planck HFI and COBE-DIRBE
E. Gjerløw, R. M. Sullivan, R. Aurvik +20
We fit five tracers of thermal dust emission to ten Planck HFI and COBE-DIRBE frequency maps between 353 GHz and 25 THz, aiming to map the relative importance of each physical host…
Cosmoglobe DR2. III. Improved modelling of zodiacal light with COBE-DIRBE through global Bayesian analysis
M. San, A. Bonato, M. Galloway +20
We present an improved zodiacal light (ZL) model for COBE-DIRBE derived through global Bayesian analysis within the Cosmoglobe Data Release 2 framework. The parametric form of the…