6.6k citations · 15.4k across the 73 of their papers we have counts for
38 papers · 1 filter
CHEX-MATE: A non-parametric deep learning technique to deproject and deconvolve galaxy cluster X-ray temperature profiles
A. Iqbal, G. W. Pratt, J. Bobin +21
Temperature profiles of the hot galaxy cluster intracluster medium (ICM) have a complex non-linear structure that traditional parametric modelling may fail to fully approximate. Fo…
Retrieving the 21-cm signal from the Epoch of Reionization with learnt Gaussian process kernels
Florent G. Mertens, Jérôme Bobin, Isabella P. Carucci
Direct detection of the Cosmic Dawn and Epoch of Reionization via the redshifted 21-cm line of neutral Hydrogen will have unprecedented implications for studying structure formatio…
21cm foregrounds and polarization leakage: a user's guide on cleaning and mitigation strategies
Steven Cunnington, Melis O. Irfan, Isabella P. Carucci +2
The success of HI intensity mapping is largely dependent on how well 21cm foreground contamination can be controlled. In order to progress our understanding further, we present a r…
Shear measurement bias II: a fast machine learning calibration method
Arnau Pujol, Jerome Bobin, Florent Sureau +2
We present a new shear calibration method based on machine learning. The method estimates the individual shear responses of the objects from the combination of several measured pro…
Recovery of 21 cm intensity maps with sparse component separation
Isabella P. Carucci, Melis O. Irfan, Jérôme Bobin
21 cm intensity mapping has emerged as a promising technique to map the large-scale structure of the Universe. However, the presence of foregrounds with amplitudes orders of magnit…
Determining thermal dust emission from Planck HFI data using a sparse, parametric technique
Melis O. Irfan, Jérôme Bobin, Marc-Antoine Miville-Deschênes +1
Context: The Planck data releases have provided the community with sub-millimetre and radio observations of the full-sky at unprecedented resolutions. We make use of the Planck 353…