1 citations · 1 across the 1 of their papers we have counts for
5 papers
The subtlety of Ly-a photons: changing the expected range of the 21-cm signal
Itamar Reis, Anastasia Fialkov, Rennan Barkana
We present the evolution of the 21-cm signal from cosmic dawn and the epoch of reionization (EoR) in an upgraded model including three subtle effects of Ly-a radiation: Ly-a heatin…
High-redshift radio galaxies: a potential new source of 21-cm fluctuations
Itamar Reis, Anastasia Fialkov, Rennan Barkana
Radio sources are expected to have formed at high redshifts, producing an excess radiation background above the cosmic microwave background (CMB) at low frequencies. Their effect o…
Effectively using unsupervised machine learning in next generation astronomical surveys
Itamar Reis, Michael Rotman, Dovi Poznanski +2
In recent years many works have shown that unsupervised Machine Learning (ML) can help detect unusual objects and uncover trends in large astronomical datasets, but a few challenge…
Probabilistic Random Forest: A machine learning algorithm for noisy datasets
Itamar Reis, Dalya Baron, Sahar Shahaf
Machine learning (ML) algorithms become increasingly important in the analysis of astronomical data. However, since most ML algorithms are not designed to take data uncertainties i…
Redshifted broad absorption line quasars found via machine-learned spectral similarity
Itamar Reis, Dovi Poznanski, Patrick B. Hall
We report the discovery of 31 new redshifted broad absorption line quasars (RSBALs) from the Sloan Digital Sky Survey (SDSS). The number of previously known such objects is 19. The…