60 citations · 98 across the 8 of their papers we have counts for
8 papers
Growth from KiDS: Stellar mass assembly of galaxies since z=2 in the light of Kilo-Degree Survey
Qingshan Wang, Antonios Katsianis, Nicola R. Napolitano +10
We measure the galaxy stellar mass function at using 28M galaxies from the KiDS DR4 which spans an effective survey area of 676.9 deg. Combining nine-band photometry…
Optical+NIR analysis of a Newly Confirmed Einstein ring at z1 from the Kilo-Degree Survey: Dark matter fraction, total and dark matter density slope and IMF
Rui Li, Nicola R. Napolitano, Giuseppe D Ago +16
We report the spectroscopic confirmation of a bright blue Einstein ring in the Kilo Degree Survey (KiDS) footprint: the Einstein ``blue eye''. Spectroscopic data from X-Shooter at…
Morpho-Photometric Classification of KiDS DR5 Sources Based on Neural Networks: A Comprehensive Star-Quasar-Galaxy Catalog
Hai-Cheng Feng, Rui Li, Nicola R. Napolitano +14
We present a novel multimodal neural network (MNN) for classifying astronomical sources in multiband ground-based observations, from optical to near infrared, to separate sources i…
Multi-band analysis of strong gravitationally lensed post-blue nugget candidates from the Kilo-Degree Survey
Rui Li, Nicola R. Napolitano, Linghua Xie +7
During the early stages of galaxy evolution, a significant fraction of galaxies undergo a transitional phase between the ``blue nugget" systems, which arise from the compaction of…
Toward a stellar population catalog in the Kilo Degree Survey: the impact of stellar recipes on stellar masses and star formation rates
Linghua Xie, Nicola R. Napolitano, Xiaotong Guo +11
The Kilo Degree Survey (KiDS) is currently the only sky survey providing optical () plus near-infrared (NIR, ) seeing matched photometry over an area larger than 100…
Galaxy-galaxy lensing in the VOICE deep survey
Ruibiao Luo, Liping Fu, Wentao Luo +11
The multi-band photometry of the VOICE imaging data, overlapping with 4.9 deg of the Chandra Deep Field South (CDFS) area, enables both shape measurement and photometric redshi…
Galaxy morphoto-Z with neural Networks (GaZNets). I. Optimized accuracy and outlier fraction from Imaging and Photometry
Rui Li, Nicola R. Napolitano, Haicheng Feng +8
In the era of large sky surveys, photometric redshifts (photo-z) represent crucial information for galaxy evolution and cosmology studies. In this work, we propose a new Machine Le…
Constraining the Hubble constant to a precision of about 1% using multi-band dark standard siren detections
Liang-Gui Zhu, Ling-Hua Xie, Yi-Ming Hu +6
Gravitational wave signal from the inspiral of stellar-mass binary black hole can be used as standard sirens to perform cosmological inference. This inspiral covers a wide range of…