A Lagrangian model with mild radial gas flows (1.5 km/s) simultaneously reproduces the Milky Way's [O/Fe]-[Fe/H] distribution, stellar surface density profile, abundance gradients, and age-abundance relations under a two-infall scenario.
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Fast-rotating green valley galaxies maintain higher metallicities than slow-rotating ones because slow rotators experience stronger outflows and more mergers that deplete their chemical content.
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.
Neural network derives LAMOST instrumental profiles from arc lamps and reduces RV dispersion by ~3 km/s.
A new methodology counts galaxy pairs over entire fields and uses k-means patches plus oversampled bootstrap covariance to produce more robust cross-correlation measurements for magnification bias studies in GAMA fields.
NOMAI applies XGBoost to SALT2 and Rainbow-derived features on ZTF alerts to reach 66% completeness and 58% purity for SLSNe, recovering 22 of 24 known active SLSNe in a two-month real-time test.
Prospector is a flexible code for Bayesian inference of stellar population parameters from multi-wavelength photometry and spectroscopy via forward modeling and posterior sampling.
citing papers explorer
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Chemical evolution of the Milky Way disc with radial gas flows: a Lagrangian approach
A Lagrangian model with mild radial gas flows (1.5 km/s) simultaneously reproduces the Milky Way's [O/Fe]-[Fe/H] distribution, stellar surface density profile, abundance gradients, and age-abundance relations under a two-infall scenario.
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Contrasting evolutionary pathways of fast- and slow-rotating galaxies in the green valley
Fast-rotating green valley galaxies maintain higher metallicities than slow-rotating ones because slow rotators experience stronger outflows and more mergers that deplete their chemical content.
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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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Characterizing the Instrumental Profile of LAMOST
Neural network derives LAMOST instrumental profiles from arc lamps and reduces RV dispersion by ~3 km/s.
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Methodological refinement of the submillimeter galaxy cross-correlation function measurements and their uncertainty estimation
A new methodology counts galaxy pairs over entire fields and uses k-means patches plus oversampled bootstrap covariance to produce more robust cross-correlation measurements for magnification bias studies in GAMA fields.
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NOMAI : A real-time photometric classifier for superluminous supernovae identification. A science module for the Fink broker
NOMAI applies XGBoost to SALT2 and Rainbow-derived features on ZTF alerts to reach 66% completeness and 58% purity for SLSNe, recovering 22 of 24 known active SLSNe in a two-month real-time test.
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Stellar Population Inference with Prospector
Prospector is a flexible code for Bayesian inference of stellar population parameters from multi-wavelength photometry and spectroscopy via forward modeling and posterior sampling.