A CNN with attention and shared latent space recovers SFHs and metallicities from spectro-photometric data with ~0.12 dex age and ~0.03 dex metallicity dispersion while running thousands of times faster than full spectral fitting.
Title resolution pending
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
years
2026 4representative citing papers
NGC 1427A shows a complex star formation history with young (~10 Myr) and intermediate-age (100-300 Myr) clusters that trace environmental processing during its orbit in the Fornax cluster.
Joint strong-lensing plus dynamical modeling of SDSSJ1433+6007 with maximally flexible mass-sheet transformation yields H0 = 73.2^{+4.8}_{-4.7} km s^{-1} Mpc^{-1} at 6.5% precision under flat LambdaCDM with DESI Omega_m prior.
citing papers explorer
-
Determining star formation histories and age-metallicity relations with convolutional neural networks
A CNN with attention and shared latent space recovers SFHs and metallicities from spectro-photometric data with ~0.12 dex age and ~0.03 dex metallicity dispersion while running thousands of times faster than full spectral fitting.
-
The complex history of NGC 1427A revealed by its star clusters and star formation history
NGC 1427A shows a complex star formation history with young (~10 Myr) and intermediate-age (100-300 Myr) clusters that trace environmental processing during its orbit in the Fornax cluster.
-
TDCOSMO XXV: A "soup-to-nuts" 6.5% $H_0$ measurement $-$ strong lensing and dynamics with a maximally flexible mass sheet
Joint strong-lensing plus dynamical modeling of SDSSJ1433+6007 with maximally flexible mass-sheet transformation yields H0 = 73.2^{+4.8}_{-4.7} km s^{-1} Mpc^{-1} at 6.5% precision under flat LambdaCDM with DESI Omega_m prior.
- A spectroscopic map of the Galactic centre: Integrated light and dynamical modelling