From Dark Matter to Machine Learning: A collection of EAS 2022 proceedings from the S3 and S11 symposia

Volume 94, n. 3, 2023

	Foreword
S. Cebrián	Direct Detection of Dark Matter
Raghuveer Garani	Stellar probes of dark matter
Sisk-Reynes et al.	Current and Future constraints on Very-Light Axion-Like Particles from X-ray observations of cluster-hosted Active Galaxies
Gauri Sharma and Jonathan Freundlich	Dark Matter Halos of Disk-like Galaxies at z ∼ 1
L. Ciotti	Rotation curves of galaxies in General Relativity
B´ılek et al.	Imprint of the galactic acceleration scale on globular cluster systems: Galaxies in the Fornax Cluster
Lucas M. Valenzuela	Lights in the Dark: Globular clusters as dark matter tracers
Oliver Manzanilla Carretero, Adriana Bariego-Quintana, and Felipe J. Llanes-Estrada	Dark Matter Cigars
Lucas C. Kimmig	And Yet There is Mass: How Projection Effects Can Solve the Apparent Lack of Mass in Substructures of Simulated Galaxy Clusters
G. Granata et al.	Investigating the discrepancy in sub-halo compactness between observed and simulated galaxy clusters with improved strong lensing modelling
M. Meneghetti et al.	Too many galaxy-galaxy strong lenses observed in galaxy clusters

	Foreword
Yun Cheng et al.	CNN Lesson Learned from Two Largest Galaxy Morphological Classification Catalogues
Domínguez Sánchez et al.	Revisiting the SFR-Mass relation at z = 0 with detailed deep learning based morphologies
Tohill et al.	Exploring the Morphologies of High Redshift Galaxies with Machine Learning
Buitrago et al.	Machine Learning disclosing the edges of galaxies
Pearson et al.	Pitfalls of AI classification of rare objects Galaxy Mergers
A. Lavrukhina and K. Malanchev	Performant feature extraction for photometric time series
Sheng et al.	Stochastic Recurrent Neural Networks for Modelling Astronomical Time Series: Advantages and Limitations
Nemani et al.	Reconstructing blended galaxies with Machine Learning
Diego-Palazuelos et al.	Machine learning approach to the detection of point sources in maps of the CMB temperature anisotropies
C. Heneka	Learning the Radio 21cm Signal – From Dawn till Dusk, from Tomography to Sources
Yun Cheng et al.	Harvesting the Lyman alpha forest with convolutional neural networks
Dubois et al.	Clustering of galaxy spectra: an unsupervised approach with Fisher-EM
Kyritsis et al.	A versatile classification tool for galactic activity using optical and infrared colors
Awad et al.	Swarm Intelligence-based Extraction and Manifold Crawling along the Large Scale Structure