44 citations · 62 across the 6 of their papers we have counts for
3 papers · 1 filter
Exploring Machine Learning Regression Models for Advancing Foreground Mitigation and Global 21cm Signal Parameter Extraction
Anshuman Tripathi, Abhirup Datta, Gursharanjit Kaur
Extracting parameters from the global 21cm signal is crucial for understanding the early Universe. However, detecting the 21cm signal is challenging due to the brighter foreground…
Wide Area VISTA Extragalactic Survey (WAVES): Selection of targets for the Wide survey using decision-tree classification
G. Kaur, M. Bilicki, S. Bellstedt +11
The Wide-Area VISTA Extragalactic Survey (WAVES) on the 4-metre Multi-Object Spectroscopic Telescope (4MOST) includes two flux-limited subsurveys with very high (95\%) completeness…
Target Selection for the Redshift-Limited WAVES-Wide with Machine Learning
Gursharanjit Kaur, Maciej Bilicki, Wojciech Hellwing +1
The forthcoming Wide Area Vista Extragalactic Survey (WAVES) on the 4-metre Multi-Object Spectroscopic Telescope (4MOST) has a key science goal of probing the halo mass function to…