The LOFAR DR3 survey yields 18 odd radio circles, confirming their rarity, heterogeneity, association with large ellipticals, and a relation where smaller ORCs avoid steep spectra.
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6 Pith papers cite this work. Polarity classification is still indexing.
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AT 2025abao is the fourth LRN in M31, showing a plateau light curve, canonical spectroscopic evolution from hot continuum with Balmer lines to cool molecular bands, and an AGB progenitor whose IR SED is reported for the first time.
Proximate damped Lyman-alpha systems trace cold dense gas participating in inflow-outflow cycles around quasars, supporting chaotic cold accretion scenarios.
Machine learning models achieve NMAD 0.036 and 5.6% outliers for quasar photometric redshifts, identifying 185 high-probability pair candidates in MGQPC with 20 spectroscopically confirmed as physical pairs.
A catalog of 6104 high-redshift quasar candidates (4.5 < z < 7) in the southern hemisphere was produced via multiwavelength photometry and SED fitting, with spectroscopic confirmation of three objects at z > 5.
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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Single- and double-headed odd radio circles in the LOFAR surveys
The LOFAR DR3 survey yields 18 odd radio circles, confirming their rarity, heterogeneity, association with large ellipticals, and a relation where smaller ORCs avoid steep spectra.
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AT 2025abao: The fourth luminous red nova in M 31
AT 2025abao is the fourth LRN in M31, showing a plateau light curve, canonical spectroscopic evolution from hot continuum with Balmer lines to cool molecular bands, and an AGB progenitor whose IR SED is reported for the first time.
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Proximate damped Lyman-$\alpha$ systems as tracers of quasar feedback
Proximate damped Lyman-alpha systems trace cold dense gas participating in inflow-outflow cycles around quasars, supporting chaotic cold accretion scenarios.
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Search for quasar pairs with Gaia astrometric data. II. Photometric redshift prediction with machine learning for the MGQPC catalogue
Machine learning models achieve NMAD 0.036 and 5.6% outliers for quasar photometric redshifts, identifying 185 high-probability pair candidates in MGQPC with 20 spectroscopically confirmed as physical pairs.
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4MOST ChANGES: Catalog of high-redshift quasar candidates (4.5 < $z$ < 7) selected with SED fitting
A catalog of 6104 high-redshift quasar candidates (4.5 < z < 7) in the southern hemisphere was produced via multiwavelength photometry and SED fitting, with spectroscopic confirmation of three objects at z > 5.
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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.