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Related papers: Statefinder Revisited

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In this paper we study the holographic dark energy model proposed by Li from the statefinder viewpoint. We plot the evolutionary trajectories of the model with $c=1$ in the statefinder parameter-planes. The statefinder diagrams characterize…

Astrophysics · Physics 2010-04-06 Xin Zhang

We aim to determine the most effective approach for estimating uncertainties in quasar photo-$z$ and to evaluate the ability of different models to reconstruct the true redshift distribution under varying data quality. We use photometric…

Cosmology and Nongalactic Astrophysics · Physics 2026-03-23 Kacper Drabicki , Szymon J. Nakoneczny , Maciej Bilicki

Sky survey telescopes play a critical role in modern astronomy, but misalignment of their optical elements can introduce significant variations in point spread functions, leading to reduced data quality. To address this, we need a method to…

Instrumentation and Methods for Astrophysics · Physics 2023-12-01 Miao Zhang , Peng Jia , Zhengyang Li , Wennan Xiang , Jiameng Lv , Rui Sun

The results from the Supernova Cosmology Project indicate a relation between cosmic distance and redshift that corresponds to an accelerating Universe, and, as a consequence, the presence of an energy component with negative pressure. This…

Astrophysics · Physics 2007-05-23 Daniel Enstrom , Sverker Fredriksson , Johan Hansson

We use high-redshift type Ia supernova and compact radio source data in order to test the infrared (IR) fixed point model of the late Universe which was proposed recently. It describes a cosmology with a time dependent cosmological constant…

Astrophysics · Physics 2009-11-07 E. Bentivegna , A. Bonanno , M. Reuter

Radio-astronomy is about to embark on a new way of doing science. The revolution that is about to take place is not due to the enormous sensitivity of the Square Kilometre Array, which is still a decade away, but due to its pathfinders,…

Instrumentation and Methods for Astrophysics · Physics 2015-05-20 Ray P. Norris

Future photometric supernova surveys will produce vastly more candidates than can be followed up spectroscopically, highlighting the need for effective classification methods based on lightcurves alone. Here we introduce boosting and kernel…

Supernovae (SNe) could be powerful probes of the properties of stars and galaxies at high redshifts in future surveys. Wide fields and longer exposure times are required to offset diminishing star formation rates and lower fluxes to detect…

The use of Type Ia supernovae as distance indicators led to the discovery of the accelerating expansion of the universe a decade ago. Now that large second generation surveys have significantly increased the size and quality of the…

Supernovae play a large but poorly understood role in our attempts to explain the evolution of the baryonic universe. Numerous observations throughout astronomy cannot be explained if we neglect their influence, yet our quantitative…

Astrophysics · Physics 2007-05-23 K. L. Adelberger

The large sky localization regions offered by the gravitational-wave interferometers require efficient follow-up of the many counterpart candidates identified by the wide field-of-view telescopes. Given the restricted telescope time, the…

High Energy Astrophysical Phenomena · Physics 2020-07-01 Cosmin Stachie , Michael W. Coughlin , Nelson Christensen , Daniel Muthukrishna

We propose a novel paradigm for spectrum sensing in cognitive radio networks that provides diversity and capacity benefits using a single antenna at the Secondary User (SU) receiver. The proposed scheme is based on a reconfigurable antenna:…

Networking and Internet Architecture · Computer Science 2014-03-05 Ahmed M. Alaa , Mahmoud H. Ismail , Hazim Tawfik

Future redshift-drift measurements (also known as Sandage-Loeb signal) will be crucial to probe the so called "redshift desert", thus providing a new tool for cosmological studies. In this paper we quantify the ability of a future…

Cosmology and Nongalactic Astrophysics · Physics 2013-05-30 Matteo Martinelli , Stefania Pandolfi , C. J. A. P. Martins , P. E. Vielzeuf

Large samples of high-redshift supernovae (SNe) are potentially powerful probes of cosmic star formation, metal enrichment, and SN physics. We present initial results from a new deep SN survey, based on re-imaging in the R, i', z' bands, of…

Advances in image super-resolution (SR) have recently benefited significantly from rapid developments in deep neural networks. Inspired by these recent discoveries, we note that many state-of-the-art deep SR architectures can be…

Computer Vision and Pattern Recognition · Computer Science 2018-05-09 Wei Han , Shiyu Chang , Ding Liu , Mo Yu , Michael Witbrock , Thomas S. Huang

With the high sensitivity and wide-field coverage of the Square Kilometre Array (SKA), large samples of explosive transients are expected to be discovered. Radio wavelengths, especially in commensal survey mode, are particularly well suited…

High Energy Astrophysical Phenomena · Physics 2016-11-23 Poonam Chandra , G. C. Anupama , K. G. Arun , Shabnam Iyyani , Kuntal Misra , D. Narasimha , Alak Ray , L. Resmi , Subhashis Roy , Firoza Sutaria

A model-independent method to study the possible evolution of dark energy is presented. Optimal estimates of the dark energy equation of state w are obtained from current supernovae data from Riess et al. (2004) following a principal…

Astrophysics · Physics 2007-05-23 Christian Stephan-Otto

To use type Ia supernovae as standard candles for cosmology we need accurate broadband magnitudes. In practice the observed magnitude may differ from the ideal magnitude-redshift relationship either through intrinsic inhomogeneities in the…

Astrophysics · Physics 2009-11-11 Tamara M. Davis , Brian P. Schmidt , Alex G. Kim

Effective space traffic management requires positive identification of artificial satellites. Current methods for extracting object identification from observed data require spatially resolved imagery which limits identification to objects…

Machine Learning · Computer Science 2022-01-12 J. Zachary Gazak , Ian McQuaid , Ryan Swindle , Matthew Phelps , Justin Fletcher