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We propose a novel means of directly measuring cosmological distances using scintillated microlensing of fast radio bursts (FRBs). In standard strong lensing measurements of cosmic expansion, the main source of systematic uncertainty lies…

Instrumentation and Methods for Astrophysics · Physics 2024-02-06 Anna Tsai , Dylan L. Jow , Daniel Baker , Ue-Li Pen

We propose a novel microlensing event search method that differs from either the traditional time domain method, astrometric microlensing, or the parallax microlensing method. Our method assumes that stars with nearly identical "genes" -…

Astrophysics of Galaxies · Physics 2024-11-05 Qi Guo , Leyao Wei , Wentao Luo , Shurui Lin , Qinxun Li , YiFu Cai , Di He , Qingqing Wang , Ruoxi Yang

Camera calibration is an essential prerequisite for event-based vision applications. Current event camera calibration methods typically involve using flashing patterns, reconstructing intensity images, and utilizing the features extracted…

Computer Vision and Pattern Recognition · Computer Science 2026-01-06 Zibin Liu , Banglei Guan , Yang Shang , Zhenbao Yu , Yifei Bian , Qifeng Yu

We present the analysis of the binary-lens microlensing event OGLE-2017-BLG-0537. The light curve of the event exhibits two strong caustic-crossing spikes among which the second caustic crossing was resolved by high-cadence surveys. It is…

In order to understand the nature of the lenses that generate microlensing events, one would like to measure their mass, distance, and velocity. Unfortunately, current microlensing experiments measure only one parameter of the events, the…

Astrophysics · Physics 2009-10-28 B. Scott Gaudi , Andrew Gould

Pixel lensing is a technique for searching baryonic components of dark matter, (MACHOs), in any part of galaxies. This method is very efficient, since it avoids to resolve each source star and so it has the advantage to provide an high…

Astrophysics · Physics 2007-05-23 S. Capozziello , G. Iovane

The estimation of cosmological parameters from precision observables is an important industry with crucial ramifications for particle physics. This article discusses the statistical methods presently used in cosmological data analysis,…

High Energy Physics - Theory · Physics 2009-12-15 Andrew R Liddle

In a quest towards an intelligent decision-making machine, the ability to make plausible predictions is the central pillar of its intelligence. A predicting algorithm's central idea is to understand the governing physical rules and make…

Instrumentation and Methods for Astrophysics · Physics 2021-01-01 Shashwat Singh , Ankul Prajapati , Kamlesh N Pathak

We present a forecast analysis on the feasibility of measuring the cosmological parameters with a large number of galaxy-galaxy scale strong gravitational lensing systems. Future wide area surveys are expected to discover and measure the…

Cosmology and Nongalactic Astrophysics · Physics 2023-07-19 Tian Li , Thomas E. Collett , Coleman M. Krawczyk , Wolfgang Enzi

The observable time delays between the multiple images of strong lensing systems with time variable sources can provide us with some valuable information to probe the expansion history of the Universe. Estimation of these time delays can be…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-15 Amir Aghamousa , Arman Shafieloo

Pixel lensing is the gravitational microlensing of light from unresolved stars contributing to the luminosity flux collected by a single pixel. A star must be sufficiently magnified, that is, the lens impact parameter must be less than a…

Astrophysics · Physics 2009-11-10 F. De Paolis , G. Ingrosso , A. A. Nucita , A. F. Zakharov

Gravitational microlensing has the potential to provide direct gravitational masses of single, free-floating brown dwarfs, independent of evolutionary and atmospheric models. The proper motions and parallaxes of nearby brown dwarfs can be…

Solar and Stellar Astrophysics · Physics 2022-11-30 Judah Luberto , Emily C. Martin , Peter McGill , Alexie Leauthaud , Andrew J. Skemer , Jessica R. Lu

We aim at investigating potential biases in lensing and X-ray methods to measure the cluster mass profiles. We do so by performing realistic simulations of lensing and X-ray observations that are subsequently analyzed using observational…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-14 M. Meneghetti , E. Rasia , J. Merten , F. Bellagamba , S. Ettori , P. Mazzotta , K. Dolag

With the dramatic rise in high-quality galaxy data expected from Euclid and Vera C. Rubin Observatory, there will be increasing demand for fast high-precision methods for measuring galaxy fluxes. These will be essential for inferring the…

We analyze lensless imaging systems with estimation-theoretic techniques based on Fisher information. Our analysis evaluates multiple optical encoder designs on objects with varying sparsity, in the context of both Gaussian and Poisson…

Image and Video Processing · Electrical Eng. & Systems 2025-08-05 Leyla A. Kabuli , Nalini M. Singh , Laura Waller

Cosmological gravitational microlensing is a useful technique for understanding the structure of the inner parts of a quasar, especially the accretion disk and the central supermassive black hole. So far, most of the cosmological…

Cosmology and Nongalactic Astrophysics · Physics 2014-03-03 Georgios Vernardos , Christopher J. Fluke

Aims: Caustic-crossing binary-lens microlensing events are important anomalous events because they are capable of detecting an extrasolar planet companion orbiting the lens star. Fast and robust modelling methods are thus of prime interest…

Earth and Planetary Astrophysics · Physics 2015-05-14 A. Cassan , K. Horne , N. Kains , Y. Tsapras , P. Browne

The uncertainty in the photometric redshift estimation is one of the major systematics in weak lensing cosmology. The self-calibration method is able to reduce this systematics without assuming strong priors. We improve the recently…

Cosmology and Nongalactic Astrophysics · Physics 2022-10-07 Hui Peng , Haojie Xu , Le Zhang , Zhao Chen , Yu Yu

We explicate a semi-automated statistical algorithm for object identification and segregation in both gray scale and color images. The algorithm makes optimal use of the observation that definite objects in an image are typically…

Computer Vision and Pattern Recognition · Computer Science 2013-08-06 Madhur Srivastava , Satish K. Singh , Prasanta K. Panigrahi
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