Showing 1–20 of 22 results
/ Date/ Name
Sep 28, 2021ParSNIP: Generative Models of Transient Light Curves with Physics-Enabled Deep LearningMay 26, 2023Live American Sign Language Letter Classification with Convolutional Neural NetworksOct 15, 2025Constraining Power of Wavelet vs. Power Spectrum Statistics for CMB Lensing and Weak Lensing with Learned BinningJul 9, 2019Avocado: Photometric Classification of Astronomical Transients with Gaussian Process AugmentationMar 18, 2026Beyond Linear Bias Expansions for AbacusSummit Halos at z = 8Dec 22, 2020Optimising a magnitude-limited spectroscopic training sample for photometric classification of supernovaeJun 29, 2022The Astronomy Commons Platform: A Deployable Cloud-Based Analysis Platform for AstronomyMar 25, 2022An Assessment of the In-Situ Growth of the Intracluster Light in the High Redshift Galaxy Cluster SpARCS1049+56Mar 26, 2019The Massive and Distant Clusters of WISE Survey VI: Stellar Mass Fractions of a Sample of High-Redshift Infrared-selected ClustersMay 5, 2021The Twins Embedding of Type Ia Supernovae I: The Diversity of Spectra at Maximum LightMay 5, 2021The Twins Embedding of Type Ia Supernovae II: Improving Cosmological Distance EstimatesJul 14, 2017The Discovery of a Gravitationally Lensed Supernova Ia at Redshift 2.22Mar 20, 2017Eddington-Limited Accretion in z~2 WISE-selected Hot, Dust-Obscured GalaxiesMar 14, 2017Delayed avalanches in Multi-Pixel Photon CountersFeb 20, 2018A Binary Offset Effect in CCD Readout and Its Impact on Astronomical DataOct 8, 2025Robust Measurement of Stellar Streams Around the Milky Way: Correcting Spatially Variable Observational Selection Effects in Optical Imaging SurveysOct 13, 2022Solar System-scale interferometry on fast radio bursts could measure cosmic distances with sub-percent precisionJul 7, 2020The Morphology-Density relationship in 1<z<2 clustersSep 7, 2015The Massive and Distant Clusters of WISE Survey: MOO J1142+1527, A 10$^{15}$ M$_\odot$ Galaxy Cluster at z=1.19Jul 6, 2015UNITY: Confronting Supernova Cosmology's Statistical and Systematic Uncertainties in a Unified Bayesian Framework