Compressing SN Ia distance-redshift data to eleven Gaussian log r_p(z) points with covariance is shown to be operationally lossless for cosmological inference across multiple models and datasets.
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DES supernova data alone give Omega_M = 0.352 +/- 0.017 in flat LambdaCDM and confirm acceleration at >5 sigma, with dark energy consistent with a cosmological constant to within ~2 sigma when combined with other probes.
Hyrax is a GPU-enabled open-source framework for the full ML lifecycle in astronomy, with demonstrations of unsupervised discovery and classification on real survey data from Rubin, ZTF, and other projects.
Calibration uncertainties during supernova light-curve fitting cause roughly 50% degradation in dark energy figure of merit for Stage IV surveys, dominating over 13% degradation from model training errors and showing near-degeneracy with cosmology.
A coordinated Rubin-DESI supernova survey could distinguish dynamical dark energy from Lambda CDM at over 5 sigma in one year using 2300 spectroscopically confirmed SNe Ia at low redshift.
A hyperbolic secant profile with standard deviation 0.328 pixels best fits charge diffusion in the Roman detector across 850-2000 nm with no detectable wavelength dependence.
Effective PSF models on OpenUniverse Roman simulations recover stellar fluxes to 0.6-1.2% precision, with up to 20% improvement from dividing chips into sub-SCAs and measured non-linearity exceeding some requirements.
Union3 compilation of 2087 SNe Ia with UNITY1.5 framework shows 1.7-2.6 sigma tension with LambdaCDM and possible thawing dark energy.
citing papers explorer
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Lossless Compression of Cosmological Information from Type Ia Supernova Distance Measurements
Compressing SN Ia distance-redshift data to eleven Gaussian log r_p(z) points with covariance is shown to be operationally lossless for cosmological inference across multiple models and datasets.
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The Dark Energy Survey: Cosmology Results With ~1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset
DES supernova data alone give Omega_M = 0.352 +/- 0.017 in flat LambdaCDM and confirm acceleration at >5 sigma, with dark energy consistent with a cosmological constant to within ~2 sigma when combined with other probes.
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Hyrax: An Extensible Framework for Rapid ML Experimentation and Unsupervised Discovery in the Era of Rubin, Roman, and Euclid
Hyrax is a GPU-enabled open-source framework for the full ML lifecycle in astronomy, with demonstrations of unsupervised discovery and classification on real survey data from Rubin, ZTF, and other projects.
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Calibration-Induced Systematics in SALT3 Training and Their Impact on Dark Energy Constraints from Stage IV Supernova Surveys
Calibration uncertainties during supernova light-curve fitting cause roughly 50% degradation in dark energy figure of merit for Stage IV surveys, dominating over 13% degradation from model training errors and showing near-degeneracy with cosmology.
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Testing $\Lambda$CDM versus dynamical dark energy in one year: A DESI spectroscopic follow-up program for Rubin supernovae
A coordinated Rubin-DESI supernova survey could distinguish dynamical dark energy from Lambda CDM at over 5 sigma in one year using 2300 spectroscopically confirmed SNe Ia at low redshift.
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Charge diffusion and modulation transfer function in a Nancy Grace Roman Space Telescope detector
A hyperbolic secant profile with standard deviation 0.328 pixels best fits charge diffusion in the Roman detector across 850-2000 nm with no detectable wavelength dependence.
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Initial Characterization of Stellar Photometry of Roman images from the OpenUniverse Simulations
Effective PSF models on OpenUniverse Roman simulations recover stellar fluxes to 0.6-1.2% precision, with up to 20% improvement from dividing chips into sub-SCAs and measured non-linearity exceeding some requirements.
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Union Through UNITY: Cosmology with 2,000 SNe Using a Unified Bayesian Framework
Union3 compilation of 2087 SNe Ia with UNITY1.5 framework shows 1.7-2.6 sigma tension with LambdaCDM and possible thawing dark energy.