131 citations · 564 across the 28 of their papers we have counts for
28 papers
Follow-up of SN 2025wny V: Lens Modelling and Cosmography of a Strongly Lensed Superluminous Supernova at using Space Data
Edvard Mörtsell, Joel Johansson, Ariel Goobar +12
We present a lensing and cosmographic analysis of the strongly lensed Type I superluminous supernova SN 2025wny at redshift , multiply imaged by two foreground galaxies at…
Follow-up of SN 2025wny I: Space-based Observations of the First Multiply-imaged Superluminous Supernova
Ariel Goobar, Joel Johansson, Edvard Mörtsell +21
We present space-based follow-up observations of the superluminous Type I supernova (SLSN-I) SN 2025wny at redshift , gravitationally lensed by two galaxies at redsh…
A Natural Telescope: Discovery of the Strongly Lensed Type II SN 2025mkn at
Cameron Lemon, Ariel Goobar, Joel Johansson +90
We present the discovery of SN 2025mkn, a gravitationally lensed Type II supernova. First detected as a blue transient in ZTF, 0.83 from a elliptical gala…
FlowSN: Neural Simulation-Based Inference under Realistic Selection Effects applied to Supernova Cosmology
Benjamin M. Boyd, Kaisey S. Mandel, Matthew Grayling +10
We present FlowSN, a statistical framework using simulation-based inference (SBI) with normalising flows to account for selection effects in observational astronomy. Failure to acc…
Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration
LSST Dark Energy Science Collaboration, Eric Aubourg, Camille Avestruz +63
The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will produce unprecedented volumes of heterogeneous astronomical data (images, catalogs, and alerts) that cha…
The Case for Space: Estimating Precise Time Delays from Ground- and Space-Based Observations of Lensed Supernovae with Glimpse
Erin E. Hayes, Suhail Dhawan, Stephen Thorp +2
The delay in arrival time of the multiple images of gravitationally lensed supernovae (glSNe) can be related to the present-day expansion rate of the universe, . Despite the…
Characterising the Standardisation Properties of Type Ia Supernovae in the z band with Hierarchical Bayesian Modelling
Erin E. Hayes, Suhail Dhawan, Kaisey S. Mandel +21
Type Ia supernovae (SNe Ia) are standardisable candles: their peak magnitudes can be corrected for correlations between light curve properties and their luminosities to precisely e…
Microlensing of lensed supernovae Zwicky & iPTF16geu: constraints on the lens galaxy mass slope and dark compact object fraction
Nikki Arendse, Edvard Mörtsell, Luke Weisenbach +9
To date, only two strongly lensed type Ia supernovae (SNIa) have been discovered with an isolated galaxy acting as the lens: iPTF16geu and SN Zwicky. The observed image fluxes for…
Accounting for Selection Effects in Supernova Cosmology with Simulation-Based Inference and Hierarchical Bayesian Modelling
Benjamin M. Boyd, Matthew Grayling, Stephen Thorp +1
Type Ia supernovae (SNe Ia) are thermonuclear exploding stars that can be used to put constraints on the nature of our universe. One challenge with population analyses of SNe Ia is…
Variational Inference for Acceleration of SN Ia Photometric Distance Estimation with BayeSN
Ana Sofía M. Uzsoy, Stephen Thorp, Matthew Grayling +1
Type Ia supernovae (SNe Ia) are standarizable candles whose observed light curves can be used to infer their distances, which can in turn be used in cosmological analyses. As the q…
Using Rest-Frame Optical and NIR Data from the RAISIN Survey to Explore the Redshift Evolution of Dust Laws in SN Ia Host Galaxies
Stephen Thorp, Kaisey S. Mandel, David O. Jones +2
We use rest-frame optical and near-infrared (NIR) observations of 42 Type Ia supernovae (SNe Ia) from the Carnegie Supernova Project at low- and 37 from the RAISIN Survey at hig…
Scalable hierarchical BayeSN inference: Investigating dependence of SN Ia host galaxy dust properties on stellar mass and redshift
Matthew Grayling, Stephen Thorp, Kaisey S. Mandel +5
We apply the hierarchical probabilistic SED model BayeSN to analyse a sample of 475 SNe Ia (0.015 < z < 0.4) from Foundation, DES3YR and PS1MD to investigate the properties of dust…
GausSN: Bayesian Time-Delay Estimation for Strongly Lensed Supernovae
Erin E. Hayes, Stephen Thorp, Kaisey S. Mandel +3
We present GausSN, a Bayesian semi-parametric Gaussian Process (GP) model for time-delay estimation with resolved systems of gravitationally lensed supernovae (glSNe). GausSN model…
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…
Keck Infrared Transient Survey I: Survey Description and Data Release 1
S. Tinyanont, R. J. Foley, K. Taggart +35
We present the Keck Infrared Transient Survey (KITS), a NASA Key Strategic Mission Support program to obtain near-infrared (NIR) spectra of astrophysical transients of all types, a…
The Magnificent Five Images of Supernova Refsdal: Time Delay and Magnification Measurements
Patrick L. Kelly, Steven Rodney, Tommaso Treu +28
In late 2014, four images of Supernova (SN) "Refsdal," the first known example of a strongly lensed SN with multiple resolved images, were detected in the MACS J1149 galaxy-cluster…
Constraints on the Hubble constant from Supernova Refsdal's reappearance
Patrick L. Kelly, Steven Rodney, Tommaso Treu +27
The gravitationally lensed Supernova Refsdal appeared in multiple images, produced through gravitational lensing by a massive foreground galaxy cluster. After the supernova appeare…
The DEHVILS Survey Overview and Initial Data Release: High-Quality Near-Infrared Type Ia Supernova Light Curves at Low Redshift
Erik R. Peterson, David O. Jones, Daniel Scolnic +17
While the sample of optical Type Ia Supernova (SN Ia) light curves (LCs) usable for cosmological parameter measurements surpasses 2000, the sample of published, cosmologically viab…
A BayeSN Distance Ladder: from a consistent modelling of Type Ia supernovae from the optical to the near infrared
Suhail Dhawan, Stephen Thorp, Kaisey S. Mandel +4
The local distance ladder estimate of the Hubble constant () is important in cosmology, given the recent tension with the early universe inference. We estimate from the…
The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae
P. D. Aleo, K. Malanchev, S. Sharief +80
We present the Young Supernova Experiment Data Release 1 (YSE DR1), comprised of processed multi-color Pan-STARRS1 (PS1) griz and Zwicky Transient Facility (ZTF) gr photometry of 1…
Constraining the SN Ia Host Galaxy Dust Law Distribution and Mass Step: Hierarchical BayeSN Analysis of Optical and Near-Infrared Light Curves
Stephen Thorp, Kaisey S. Mandel
We use the BayeSN hierarchical probabilistic SED model to analyse the optical-NIR () light curves of 86 Type Ia supernovae (SNe Ia) from the Carnegie Supernova Project to…
Relative intrinsic scatter in hierarchical Type Ia supernova siblings analyses: Application to SNe 2021hpr, 1997bq & 2008fv in NGC 3147
Sam M. Ward, Stephen Thorp, Kaisey S. Mandel +22
We present Young Supernova Experiment photometry of SN 2021hpr, the third Type Ia supernova sibling to explode in the Cepheid calibrator galaxy, NGC 3147. Siblings are usef…
A graph-based spectral classification of Type II supernovae
Rafael S. de Souza, Stephen Thorp, Lluís Galbany +5
Given the ever-increasing number of time-domain astronomical surveys, employing robust, interpretative, and automated data-driven classification schemes is pivotal. Based on graph…
Cosmological Results from the RAISIN Survey: Using Type Ia Supernovae in the Near Infrared as a Novel Path to Measure the Dark Energy Equation of State
D. O. Jones, K. S. Mandel, R. P. Kirshner +26
Type Ia supernovae (SNe Ia) are more precise standardizable candles when measured in the near-infrared (NIR) than in the optical. With this motivation, from 2012-2017 we embarked o…