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Found 9 papers, 5 papers with code
Towards Understanding How Machines Can Learn Causal Overhypotheses
Recent work in machine learning and cognitive science has suggested that understanding causal information is essential to the development of intelligence.
Learning Causal Overhypotheses through Exploration in Children and Computational Models
Despite recent progress in reinforcement learning (RL), RL algorithms for exploration still remain an active area of research.
DAYENU: A Simple Filter of Smooth Foregrounds for Intensity Mapping Power Spectra
We introduce DAYENU, a linear, spectral filter for HI intensity mapping that achieves the desirable foreground mitigation and error minimization properties of inverse co-variance weighting with minimal modeling of the underlying data.
Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
Foreground modelling via Gaussian process regression: an application to HERA data
The key challenge in the observation of the redshifted 21-cm signal from cosmic reionization is its separation from the much brighter foreground emission.
Cosmology and Nongalactic Astrophysics
Inflation and Early Dark Energy with a Stage II Hydrogen Intensity Mapping Experiment
This white paper envisions a revolutionary post-DESI, post-LSST dark energy program based on intensity mapping of the redshifted 21cm emission line from neutral hydrogen at radio frequencies.
Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics High Energy Physics - Experiment
Identifying Reionization Sources from 21cm Maps using Convolutional Neural Networks
We create a Convolutional Neural Network (CNN) that is efficiently able to distinguish between 21cm maps that are produced by AGN versus galaxies scenarios with an accuracy of 92-100%, depending on redshift and neutral fraction range.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
Deep learning from 21-cm images of the Cosmic Dawn
The 21-cm power spectrum (PS) has been shown to be a powerful discriminant of reionization and cosmic dawn astrophysical parameters.
Cosmology and Nongalactic Astrophysics
Reionization Models Classifier using 21cm Map Deep Learning
Next-generation 21cm observations will enable imaging of reionization on very large scales.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
An Improved Model of Diffuse Galactic Radio Emission from 10 MHz to 5 THz
We present an improved Global Sky Model (GSM) of diffuse galactic radio emission from 10 MHz to 5 THz, whose uses include foreground modeling for CMB and 21 cm cosmology.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
