3 citations · 3 across the 2 of their papers we have counts for
4 papers
Cosmology with galaxy clusters using machine learning. Application to eROSITA Data
Fucheng Zhong, Nicola R. Napolitano, Johan Comparat +8
Context: We present the first Cosmological Parameter inferences from eROSITA X-ray observations of galaxy clusters using a Machine Learning algorithm. Methods: We train a Random Fo…
Anti-Interference Diffractive Deep Neural Networks for Multi-Object Recognition
Zhiqi Huang, Yufei Liu, Nan Zhang +11
Optical neural networks (ONNs) are emerging as a promising neuromorphic computing paradigm for object recognition, offering unprecedented advantages in light-speed computation, ult…
Planck intermediate results. LV. Reliability and thermal properties of high-frequency sources in the Second Planck Catalogue of Compact Sources
Planck Collaboration, Y. Akrami, M. Ashdown +117
We describe an extension of the most recent version of the Planck Catalogue of Compact Sources (PCCS2), produced using a new multi-band Bayesian Extraction and Estimation Package (…
Planck 2018 results. IV. Diffuse component separation
Planck Collaboration, Y. Akrami, M. Ashdown +150
We present full-sky maps of the cosmic microwave background (CMB) and polarized synchrotron and thermal dust emission, derived from the third set of Planck frequency maps. These pr…