61 citations · 260 across the 24 of their papers we have counts for
4 papers · 1 filter
Machine learning analysis of Photometric data from the Dark Energy Survey
Elcio Abdalla, Filipe B. Abdalla, Alessandro Marins +3
In order to retrieve cosmological parameters from photometric surveys, we need to estimate the distribution of the photometric redshift in the sky with excellent accuracy. We use a…
Detectability of the 21 cm signal with BINGO through cross-correlation with photometric surveys
Gabriel A. S. Silva, Camila P. Novaes, Carlos A. Wuensche +11
21 cm intensity mapping (HI IM) can efficiently map large cosmic volumes with good redshift resolution, but systematics and foreground contamination pose major challenges for extra…
Cosmological Remapping for Efficient Generation of 21 cm Intensity Mapping Mocks
Rahima Mokeddem, Bruno B. Bizarria, Jiajun Zhang +10
We present a novel application of cosmological rescaling, or "remapping," to generate 21 cm intensity mapping mocks for different cosmologies. The remapping method allows for compu…
Investigating cross-correlations between cosmic microwave background lensing and 21 cm intensity mapping
Alessandro Marins, Chang Feng, Filipe B. Abdalla
The neutral hydrogen (HI) signal is a crucial probe for astrophysics and cosmology, but it is quite challenging to measure from raw data because of bright foreground contaminants a…