507 citations · 942 across the 5 of their papers we have counts for
5 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…
Planck 2015 results. XVII. Constraints on primordial non-Gaussianity
Planck Collaboration, P. A. R. Ade, N. Aghanim +239
The Planck full mission cosmic microwave background(CMB) temperature and E-mode polarization maps are analysed to obtain constraints on primordial non-Gaussianity(NG). Using three…