Conveners
Deep Learning: Session 2
- Andrea DeMarco (University of Malta)
Galaxy-galaxy strong lensing events occur when the light emitted by a background source is highly deflected by a foreground galaxy's gravitational potential. Studying these systems allows to tackle several problems, that include the reconstruction of the mass distribution of the lens galaxies and the estimation of the Hubble constant. Thousands of new events are expected to be detected in...
Mergers between galaxies can be drivers of morphological transformation and various physical phenomena, including star-formation, black-hole accretion, and chemical redistribution. These effects are seen clearly among galaxies that are currently interacting (pairs) -- which can be selected with high purity spectroscopically with correctable completeness. Galaxies in the merger remnant phase...
In recent years, the amount and quality of galaxy survey data have increased, requiring more precise and efficient methods for data analysis. Imaging galaxy surveys require precise photometry and photometric redshifts measurements, which are crucial for an extensive set of science applications.
In previous work, we developed Lumos, a deep learning-based algorithm to predict the flux...
Galaxy-galaxy strong lensing events occur when the light emitted by a background source is highly deflected by a foreground galaxy's gravitational potential. Studying these systems allows to tackle several problems, that include the reconstruction of the mass distribution of the lens galaxies and the estimation of the Hubble constant. Thousands of new events are expected to be detected in...
With the upcoming of next-generation large and data-intensive surveys, the development of methods able to automatically extract information from the vast amount of data has exponentially grown up in the last decade. In this work, we explore the classification capabilities of Convolutional Neural Networks to identify galaxy Cluster Members, by disentangling them from foreground and background...
In recent years, the amount and quality of galaxy survey data have increased, requiring more precise and efficient methods for data analysis. Imaging galaxy surveys require precise photometry and photometric redshifts measurements, which are crucial for an extensive set of science applications.
In previous work, we developed Lumos, a deep learning-based algorithm to predict the flux...
Planet-induced sub-structures, like annular gaps, observed in dust emission from protoplanetary disks provide a unique probe to characterize unseen young exoplanets. Fitting a model of planetary gaps to these observed features using customized simulations or empirical relations can reveal the characteristics of the hidden planets. However, customized fitting is often impractical owing to the...
Mergers between galaxies can be drivers of morphological transformation and various physical phenomena, including star-formation, black-hole accretion, and chemical redistribution. These effects are seen clearly among galaxies that are currently interacting (pairs) -- which can be selected with high purity spectroscopically with correctable completeness. Galaxies in the merger remnant phase...
