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Strong gravitational lensing by galaxy clusters is a fundamental tool to study dark matter and constrain the geometry of the Universe. Recently, the Hubble Space Telescope Frontier Fields programme has allowed a significant improvement of…

宇宙学与河外天体物理 · 物理学 2017-06-19 Ana Acebron , Eric Jullo , Marceau Limousin , André Tilquin , Carlo Giocoli , Mathilde Jauzac , Guillaume Mahler , Johan Richard

Combining deep Hubble Space Telescope (HST) images and extensive data from the Multi-Unit Spectroscopic Explorer, we present new mass models of the cluster MACS J1149.5+2223, strongly lensing the supernova (SN) Refsdal, fully exploiting the…

宇宙学与河外天体物理 · 物理学 2026-02-16 S. Schuldt , C. Grillo , A. Acebron , P. Bergamini , A. Mercurio , P. Rosati , S. H. Suyu

Time-delay strong lensing provides a unique way to directly measure the Hubble constant ($H_{0}$). The precision of the $H_{0}$ measurement depends on the uncertainties in the time-delay measurements, the mass distribution of the main…

Strong gravitationally lensed supernovae (LSNe) are rare but extremely valuable probes of cosmology and astrophysics. Prompt identification within the alert streams of time-domain surveys such as the Rubin Legacy Survey of Space and Time…

Strong lensing by massive galaxy clusters can provide magnification of the flux and even multiple images of the galaxies that lie behind them. This phenomenon facilitates observations of high-redshift supernovae (SNe), that would otherwise…

星系天体物理 · 物理学 2018-07-04 T. Petrushevska , A. Goobar , D. J. Lagattuta , R. Amanullah , L. Hangard , S. Fabbro , C. Lidman , K. Paech , J. Richard , J. P. Kneib

We present a new strong lensing (SL) model of the Hubble Frontier Fields galaxy cluster Abell 2744, at z=0.3072, by exploiting archival Hubble Space Telescope (HST) multi-band imaging and Multi Unit Spectroscopic Explorer (MUSE) follow-up…

宇宙学与河外天体物理 · 物理学 2023-02-08 P. Bergamini , A. Acebron , C. Grillo , P. Rosati , G. B. Caminha , A. Mercurio , E. Vanzella , G. Angora , G. Brammer , M. Meneghetti , M. Nonino

Strongly lensed Type Ia supernovae (LSNe Ia) are a promising probe to measure the Hubble constant ($H_0$) directly. To use LSNe Ia for cosmography, a time-delay measurement between the multiple images, a lens-mass model, and a mass…

宇宙学与河外天体物理 · 物理学 2024-12-11 S. Huber , S. H. Suyu

The Hubble constant ($H_0$), a crucial parameter in cosmology, quantifies the expansion rate of the universe so its precise measurement is important to understand the fundamental dynamics of our evolving universe. One of the major…

宇宙学与河外天体物理 · 物理学 2024-07-29 Narayan Khadka , Simon Birrer , Alexie Leauthaud , Holden Nix

While the Hubble constant can be derived from observable time delays between images of lensed quasars, the result is often highly sensitive to assumptions and systematic uncertainties in the lensing model. Unlike most previous authors we…

天体物理学 · 物理学 2009-10-31 HongSheng Zhao , Danny Pronk

We present a new method to estimate the Hubble constant H_0 from the measured time delays in quadruply imaged gravitational lens systems. We show how it is possible to get an estimate of H_0 without the need to completely reconstruct the…

天体物理学 · 物理学 2009-11-07 V. F. Cardone , S. Capozziello , V. Re , E. Piedipalumbo

We present high-resolution mass reconstructions for five massive cluster-lenses spanning a redshift range from $z = 0.18$--0.57 utilising archival {\it Hubble Space Telescope} ({\it HST}) data and applying galaxy-galaxy lensing techniques.…

天体物理学 · 物理学 2008-11-26 Priyamvada Natarajan , Gabriella De Lucia , Volker Springel

In this paper, we go further and propose a cosmological model-independent approach to simultaneously determine the Hubble constant and cosmic curvature with strong lensing time-delay measurements, without any prior assumptions regarding the…

宇宙学与河外天体物理 · 物理学 2024-02-19 Tonghua Liu , Shuo Cao , Sixuan Zhang , Chenfa Zheng , Wuzheng Guo

Strong gravitational lens systems with time delays between the multiple images allow measurements of time-delay distances, which are primarily sensitive to the Hubble constant that is key to probing dark energy, neutrino physics, and the…

Gravitationally lensed supernovae (SNe) are extremely rare and fade quickly; as a result, they are challenging to detect. To identify lensed SNe in large imaging datasets, current surveys primarily rely on the {\it magnification} effect of…

天体物理仪器与方法 · 物理学 2025-12-24 Fawad Kirmani , Arjun Karki , Steve Rodney , Kyle Lackey , Varsha P. Kulkarni , John R. Rose , Justin Pierel

We present a new galaxy cluster lens modeling approach, hybrid-Lenstool, that is implemented in the publicly available modeling software Lenstool. hybrid-Lenstool combines a parametric approach to model the core of the cluster, and a…

宇宙学与河外天体物理 · 物理学 2020-02-26 Anna Niemiec , Mathilde Jauzac , Eric Jullo , Marceau Limousin , Keren Sharon , Jean-Paul Kneib , Priyamvada Natarajan , Johan Richard

Time delays between the multiple images of strongly lensed Type Ia supernovae (gl\sneia) have the potential to deliver precise cosmological constraints, but the effects of microlensing on the measurement have not been studied in detail.…

宇宙学与河外天体物理 · 物理学 2018-03-14 Daniel A. Goldstein , Peter E. Nugent , Daniel N. Kasen , Thomas E. Collett

The gravitationally lensed Supernova Refsdal appeared in multiple images, produced through gravitational lensing by a massive foreground galaxy cluster. After the supernova appeared in 2014, lens models of the galaxy cluster predicted an…

Cluster gravitational lensing surveys like the Hubble Space Telescope Frontier Fields survey will detect distant galaxies 10-50 times fainter than any yet discovered. Using these surveys to measure the luminosity function of such faint,…

宇宙学与河外天体物理 · 物理学 2015-06-17 Anson D'Aloisio , Priyamvada Natarajan , Paul R. Shapiro

In this paper, we propose an improved model-independent method to constrain the cosmic curvature by combining the most recent Hubble parameter $H(z)$ and supernovae Ia (SNe Ia) data. Based on the $H(z)$ data, we first use the…

宇宙学与河外天体物理 · 物理学 2017-04-12 Jun-Jie Wei , Xue-Feng Wu