80 citations · 164 across the 12 of their papers we have counts for
4 papers · 1 filter
Characterising Solar Magnetic Reconnection in Confined and Eruptive Flares
Kanniah Balamuralikrishna, John Y. H. Soo, Norhaslinda Mohamed Tahrin +1
Magnetic reconnection is a fundamental mechanism through which energy stored in magnetic fields is released explosively on a massive scale, they could be presented as eruptive or c…
Machine learning applications in astrophysics: Photometric redshift estimation
John Y. H. Soo, Ishaq Y. K. Alshuaili, Imdad Mahmud Pathi
Machine learning has rose to become an important research tool in the past decade, its application has been expanded to almost if not all disciplines known to mankind. Particularly…
Improving Photometric Redshifts by Merging Probability Density Functions from Template-Based and Machine Learning Algorithms
Ishaq Y. K. Alshuaili, John Y. H. Soo, Mohd Zubir Mat Jafri +1
This study aims to improve the photometric redshifts (photo-s) of galaxies by integrating two contemporary methods: template-fitting and machine learning. Finding the synergy be…
The PAU Survey: a new constraint on galaxy formation models using the observed colour redshift relation
G. Manzoni, C. M. Baugh, P. Norberg +27
We use the GALFORM semi-analytical galaxy formation model implemented in the Planck Millennium N-body simulation to build a mock galaxy catalogue on an observer's past lightcone. T…