AstroAI Lunch Talks - August 5, 2024 - Nicolò Pinciroli & Ningyue Fan
29 Jul 2024 - Joshua Wing
The video can be found here: https://www.youtube.com/watch?v=IW00tdzebo4
Speaker 1: Nicolò Pinciroli (Polytechnic of Milan)
Title: Gravitational Lensing with DeepGravLens
Abstract: Gravitational lensing is the relativistic effect generated by massive bodies, which bend the space-time surrounding them. In recent years, machine learning methods have been used to detect lensing effects in datasets containing single images or combinations of images and brightness time series. Most works considered only single images, neglecting transient phenomena such as gravitationally lensed supernovae. This talk introduces DeepGraviLens, a multi-modal network that classifies spatio-temporal data formed by a single image and 4 brightness time series. The goal is to classify data into 4 classes: no lens, lens, lensed SNIa and lensed SNCC. This approach surpasses the previous state-of-the-art accuracy results on 4 simulated data sets by 3% to 11%. Such an improvement will accelerate the analysis of lensed objects in upcoming surveys, exploiting the petabytes of data collected, e.g., from the Vera C. Rubin Observatory. However, finding gravitational lenses is only a preliminary step towards a deeper analysis of their characteristics. My current research focuses also on the analytical description of gravitational lenses using the Roulette formalism, which approximates them using a 2D Taylor expansion in polar coordinates. Multi-output regression deep learning can estimate the expansion coefficients from the images of gravitational lenses.
Speaker 2: Ningyue Fan
Title: ForkEoR: A Novel Machine Learning Algorithm for Image Deconvolution and Foreground Removal of EoR Signal
Watch the talk below!