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Joint deconvolution and unsupervised source separation for data on the sphere
Rémi Carloni Gertosio, Jérôme Bobin
Tackling unsupervised source separation jointly with an additional inverse problem such as deconvolution is central for the analysis of multi-wavelength data. This becomes highly c…
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…
Joint deconvolution and blind source separation on the sphere with an application to radio-astronomy
R. Carloni Gertosio, J. Bobin
Blind source separation is one of the major analysis tool to extract relevant information from multichannel data. While being central, joint deconvolution and blind source separati…
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…