94 citations · 106 across the 7 of their papers we have counts for
4 papers · 1 filter
The Atacama Cosmology Telescope: Machine Learning Driven Tools for Detecting Millimeter Sources in Timestream Pre-processing
Simran K. Nerval, Erika Hornecker, Yilun Guan +14
We present a new pipeline utilizing machine learning for classifying short-duration features in raw time-ordered data (TOD) of cosmic microwave background survey observations. The…
PROTOCALC, A W-band polarized calibrator for CMB Telescopes: application to Simons Observatory and CLASS
Gabriele Coppi, Nadia Dachlythra, Federico Nati +11
Current- and next-generation Cosmic Microwave Background (CMB) experiments will measure polarization anisotropies with unprecedented sensitivities. The need for high precision in t…
PROTOCALC: an artificial calibrator source for CMB telescopes
Gabriele Coppi, Giulia Conenna, Sofia Savorgnano +5
Cosmic Microwave Background experiments need to measure polarization properties of the incoming radiation very accurately to achieve their scientific goals. As a result of that, it…
Classifying CMB time-ordered data through deep neural networks
Felipe Rojas, Loïc Maurin, Rolando Dünner +1
The Cosmic Microwave Background (CMB) has been measured over a wide range of multipoles. Experiments with arc-minute resolution like the Atacama Cosmology Telescope (ACT) have cont…