International Conference on Machine Learning for Astrophysics 2nd Ed. - ML4ASTRO2

Session

Time Domain / Multi-wavelength All-Sky Surveys

10 Jul 2024, 09:40

Aula Magna (Catania)

Conveners

Time Domain / Multi-wavelength All-Sky Surveys

• Francisco Förster Burón

228. Unsupervised learning for GRBs classification

Nicolò Cibrario

10/07/2024, 09:40

Gamma-Ray Bursts (GRBs) are among the most energetic events in the universe. They can last from a few milliseconds to hours, and their multiwavelength and multimessenger observations allow us to probe physics beyond extremes that can be achieved in terrestrial laboratories. While huge progress has been made in the last decades, much remains to be uncovered regarding the origins and underlying...

233. A worthwhile detour via artificial spectra: galaxy properties from photometric images with diffusion models

Lars Doorenbos

10/07/2024, 10:00

Modern spectroscopic surveys can only target a small fraction of the vast amount of photometrically cataloged sources in wide-field surveys. Here, we report the development of a machine-learning framework capable of predicting optical galaxy spectra from photometric broad-band images alone. This method draws from the latest advances in diffusion models in combination with a contrastive...

235. The TransformerPayne: Toward a Foundation Model for Stellar Spectra

Tomasz Różański

10/07/2024, 10:20

Current and upcoming large-scale spectroscopic surveys are delivering an ever-increasing volume of high-quality stellar spectra. This wealth of data presents both opportunities and challenges in inferring the parameters of stellar atmospheres. Inference initially relied on polynomial interpolation across a regular spectral grid. This approach was later largely replaced by the use of emulators...