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Supernova 2025wny: High-angular resolution Keck/NIRC2 observations and preliminary lens modeling
Christopher J. Storfer, Kenneth C. Wong, Ana Acebron +10
Multiply imaged, gravitationally lensed supernovae are rare but powerful tools for providing independent measurements on cosmological parameters. Supernova (SN) 2025wny ("SN Winny"…
Data-driven dust inference at mid-to-high Galactic latitudes using probabilistic machine learning
Matthew O'Callaghan, Kaisey S. Mandel, Gerry Gilmore
We present a method for accurately and precisely inferring photometric dust extinction towards stars at mid-to-high Galactic latitudes using probabilistic machine learning to model…
Quantifying Interstellar Extinction at High Galactic Latitudes
Matthew O'Callaghan, Gerry Gilmore, Kaisey S. Mandel
A detailed map of the distribution of dust at high Galactic latitudes is essential for future cosmic microwave background (CMB) polarization experiments because the dust, while dif…
Bird-Snack: Bayesian Inference of dust law Distributions using SN Ia Apparent Colours at peaK
Sam M. Ward, Suhail Dhawan, Kaisey S. Mandel +2
To reduce systematic uncertainties in Type Ia supernova (SN Ia) cosmology, the host galaxy dust law shape parameter, , must be accurately constrained. We thus develop a comput…
Evidence for a Massive Andromeda Galaxy Using Satellite Galaxy Proper Motions
Ekta Patel, Kaisey S. Mandel
We present new mass estimates for Andromeda (M31) using the orbital angular momenta of four satellite galaxies (M33, NGC 185, NGC 147, IC 10) derived from existing proper motions,…
Testing the Consistency of Dust Laws in SN Ia Host Galaxies: A BayeSN Examination of Foundation DR1
Stephen Thorp, Kaisey S. Mandel, David O. Jones +2
We apply BayeSN, our new hierarchical Bayesian model for the SEDs of Type Ia supernovae (SNe Ia), to analyse the light curves of 157 nearby SNe Ia () from the…