6 papers
Scalable Bayesian data curation for next-generation radio experiments
S. A. K. Leeney, E. de Lera Acedo, W. J. Handley +42
Next-generation radio telescopes produce data volumes that preclude manual quality assessment, yet data curation remains essential for science. We present a general, fully automati…
Mapping neutral islands during end stages of reionization with photometric intergalactic medium tomography
Sambit K. Giri, Koki Kakiichi, Michele Bianco +1
During the epoch of reionization (EoR), the first generation of luminous sources in our Universe emitted ionizing photons that almost completely ionized the gas in the intergalacti…
The Simons Observatory: Science Goals and Forecasts for the Enhanced Large Aperture Telescope
The Simons Observatory Collaboration, M. Abitbol, I. Abril-Cabezas +419
We describe updated scientific goals for the wide-field, millimeter-wave survey that will be produced by the Simons Observatory (SO). Significant upgrades to the 6-meter SO Large A…
Radiometer Calibration using Machine Learning
S. A. K. Leeney, H. T. J. Bevins, E. de Lera Acedo +35
Radiometers are crucial instruments in radio astronomy, forming the primary component of nearly all radio telescopes. They measure the intensity of electromagnetic radiation, conve…
Receiver design for the REACH global 21-cm signal experiment
Ian L. V. Roque, Nima Razavi-Ghods, Steven H. Carey +35
We detail the the REACH radiometric system designed to enable measurements of the 21-cm neutral hydrogen line. Included is the radiometer architecture and end-to-end system simulat…
Towards detecting Primordial non-Gaussianity in the CMB using Spherical Convolutional Neural Networks
Jorik Melsen, Thomas Flöss, P. Daniel Meerburg
This paper explores a novel application of spherical convolutional neural networks (CNNs) to detect primordial non-Gaussianity in the cosmic microwave background (CMB), a key probe…