Search

What are you looking for?

  1. Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning

    Publication
    Sequential scientific data span many resolutions and domains, and unifying them into a common representation is a key step toward developing foundation models for the sciences. Astronomical spectra …

  2. AION-1: Omnimodal Foundation Model for Astronomical Sciences

    Publication
    While foundation models have shown promise across a variety of fields, astronomy still lacks a unified framework for joint modeling across its highly diverse data modalities. In this …

  3. A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors

    Publication
    A common challenge in the natural sciences is to disentangle distinct, unknown sources from observations. Examples of this source separation task include deblending galaxies in a crowded field …

  4. AION-1: Omnimodal Foundation Model for Astronomical Sciences

    Publication
    While foundation models have shown promise across a variety of fields, astronomy lacks a unified framework for joint modeling across its highly diverse data modalities. In this paper …

  5. Lens Modeling of STRIDES Strongly Lensed Quasars Using Neural Posterior Estimation

    Publication
    Strongly lensed quasars can be used to constrain cosmological parameters through time-delay cosmography. Models of the lens masses are a necessary component of this analysis. To enable …

  6. A Strong Gravitational Lens Is Worth a Thousand Dark Matter Halos: Inference on Small-scale Structure Using Sequential Methods

    Publication
    Strong gravitational lenses are a singular probe of the universe's small-scale structure \(\unicode{x2013}\) they are sensitive to the gravitational effects of low-mass …