Explores the principles of reactive programming and message processing semantics in Akka, emphasizing actor encapsulation, reliable messaging, and message delivery guarantees.
Covers the analysis of gravitational lensing in galaxy clusters, focusing on the mass distribution and precision achieved in the mass model of the galaxy cluster MACSJ0416.1-2403.
Covers CNNs, RNNs, SVMs, and supervised learning methods, emphasizing the importance of tuning regularization and making informed decisions in machine learning.
Explores the 3D distribution of galaxies, galaxy clustering, and the cosmic microwave background, shedding light on the observable universe's contents and properties.