Astrophysics Colloquium

This colloquium will be given by Farida Farsian from Bologna Observatory at our regular timeslot in Lundmarksalen.

Title:  The perspective of Machine Learning and Quantum Machine Learning in Astrophysics

Abstract: 

Astrophysics faces a significant challenge in managing the vast amounts of data generated by current and future cosmological and astrophysical surveys. To address this challenge, innovative methodologies, including Artificial Intelligence (AI) and Machine Learning (ML), must be employed to handle computationally expensive operations, automate processes, and extract unexplored data features and statistics.

In this presentation, I will share my experiences highlighting the imperative role of ML methods in specific fields I have worked on. These include the detection of primordial gravitational waves from the Cosmic Microwave Background and clustering information extraction from the Large Scale Structure. Subsequently, I will delve into a forward-looking perspective, emphasizing the futuristic application of ML methods with Quantum computers. I will discuss their potential and possible applications in astrophysics.

Note that the colloquia are open to all members of the Division of Astrophysics, and we especially encourage master and Ph.D. students to participate.