
Detecting stronglylensed type Ia supernovae with LSST
N. Arendse, S. Dhawan, A. Sagués Carracedo, H. Peiris,
A. Goobar, R.
Wojtak, C. Alves, R. Biswas, S. Huber, S. Birrer, The LSST Dark Energy Science
Collaboration.
ArXiv: 2312.04621

GausSN: Bayesian TimeDelay Estimation for Strongly Lensed
Supernovae
E. Hayes, S. Thorp, K. Mandel, N. Arendse, M. Grayling,
S.
Dhawan.
ArXiv: 2311.17997

LensWatch: I. Resolved HST Observations and Constraints on the
StronglyLensed Type Ia Supernova 2022qmx (‘SN Zwicky’)
J. Pierel, N. Arendse et al.
ApJ (2023) 
ArXiv: 2211.03772

Uncovering a population of gravitational lens galaxies with
magnified
standard candle SN
Zwicky
A. Goobar, J. Johansson, S. Schulze, N. Arendse et al.
Nature
Astronomy
(2023) 
ArXiv: 2211.00656

AIdriven spatiotemporal engine for finding gravitationally
lensed
supernovae
D.K. Ramanah, N. Arendse, R. Wojtak.
MNRAS (2022)

ArXiv: 2107.12399

Cosmic dissonance: new physics or systematics behind a short
sound
horizon?
N. Arendse, R. Wojtak, A. Agnello, G. Chen, C.
Fassnacht,
D.
Sluse, S. Hilbert, M. Millon,
V. Bonvin, K. Wong, F. Courbin, S. Suyu, S. Birrer, T. Treu, L. Koopmans.
A&A (2020) 
ArXiv: 1909.07986

Simulationbased inference of dynamical galaxy cluster masses
with
3D
convolutional
neural networks
D. K. Ramanah, R. Wojtak, N. Arendse.
MNRAS (2020)
 ArXiv:
2009.03340

Lowredshift measurement of the sound horizon through
gravitational
timedelays
N. Arendse, A. Agnello, R. Wojtak.
A&A (2019) 
ArXiv: 1905.12000