361 citations · 1.2k across the 40 of their papers we have counts for
6 papers · 1 filter
Emulator-Based Inference of Cosmological Subgrid Models
Nesar Ramachandra, Nicholas Frontiere, Michael Buehlmann +4
The formation of structure in the Universe at large scales is dominated by gravity, with baryonic physics becoming significant at scales. To capture the impact of b…
Multi-modal Foundation Model for Cosmological Simulation Data
Bin Xia, Nesar Ramachandra, Azton I. Wells +2
We present a multi-modal foundation model for astrophysical galaxy data, designed to map between simulation- and observation-based galactic features. Our encoder-only transformer f…
Carbon-Enhanced Metal-Poor star candidates from BP/RP Spectra in DR3
Madeline Lucey, Nariman Al Kharusi, Keith Hawkins +6
Carbon-enhanced metal-poor (CEMP) stars comprise almost a third of stars with [Fe/H] < --2, although their origins are still poorly understood. It is highly likely that one sub-cla…
Anomaly detection in Hyper Suprime-Cam galaxy images with generative adversarial networks
Kate Storey-Fisher, Marc Huertas-Company, Nesar Ramachandra +5
The problem of anomaly detection in astronomical surveys is becoming increasingly important as data sets grow in size. We present the results of an unsupervised anomaly detection m…
Anomaly Detection in Astronomical Images with Generative Adversarial Networks
Kate Storey-Fisher, Marc Huertas-Company, Nesar Ramachandra +4
We present an anomaly detection method using Wasserstein generative adversarial networks (WGANs) on optical galaxy images from the wide-field survey conducted with the Hyper Suprim…
Beyond the Hubble Sequence -- Exploring Galaxy Morphology with Unsupervised Machine Learning
Ting-Yun Cheng, Marc Huertas-Company, Christopher J. Conselice +3
We explore unsupervised machine learning for galaxy morphology analyses using a combination of feature extraction with a vector-quantised variational autoencoder (VQ-VAE) and hiera…