9 papers · 1 filter
Neural networks as a tool for parameter estimation in astrophysical data
Nicholas G. Phillips, A. Kogut
We present a neural net algorithm for parameter estimation in the context of large cosmological data sets. Cosmological data sets present a particular challenge to pattern-recognit…
Neural Networks as a tool for parameter estimation in mega-pixel data sets
Nicholas G. Phillips, A. Kogut
We present a neural net algorithm for parameter estimation in the context of large cosmological data sets. Cosmological data sets present a particular challenge to pattern-recognit…
Simulations of Foreground Effects for CMB Polarization
A. Kogut, G. Hinshaw
We use a simple model to investigate the effect of polarized Galactic foreground emission on the ability of planned CMB missions to detect and model CMB polarization. Emission from…
Anomalous Microwave Emission
A. Kogut
Improved knowledge of diffuse Galactic emission is important to maximize the scientific return from scheduled CMB anisotropy missions. Cross-correlation of microwave maps with maps…
Foreground contamination around the North Celestial Pole
Angelica de Oliveira-Costa, A. Kogut, Mark J. Devlin +3
We cross-correlate the Saskatoon Q-Band data with different spatial template maps to quantify possible foreground contamination. We detect a correlation with the Diffuse Infrared B…
Diffuse Microwave Emission Survey
Al Kogut
The Diffuse Microwave Emission Survey (DIMES) has been selected for a mission concept study for NASA's New Mission Concepts for Astrophysics program. DIMES will measure the frequen…