Results 31 to 40 of about 377 (60)

Joint Deconvolution of Astronomical Images in the Presence of Poisson Noise

The Astronomical Journal
We present a new framework for joint likelihood deconvolution ( Jolideco ) of a set of astronomical observations of the same sky region in the presence of Poisson noise.
Axel Donath, Aneta Siemiginowska, Vinay L. Kashyap, David A. van Dyk, Douglas Burke   +4 more
doaj   +1 more source

Detecting Unspecified Structure in Low-Count Images

, 2015
Unexpected structure in images of astronomical sources often presents itself upon visual inspection of the image, but such apparent structure may either correspond to true features in the source or be due to noise in the data.
Kashyap, Vinay L., Siemiginowska, Aneta, Stein, Nathan M., van Dyk, David A.   +3 more
core   +1 more source

Computational statistics using the Bayesian Inference Engine

, 2012
This paper introduces the Bayesian Inference Engine (BIE), a general parallel, optimised software package for parameter inference and model selection. This package is motivated by the analysis needs of modern astronomical surveys and the need to organise
Babu, Berntsen, Feroz, Gelman, Gelman, Gelman, Geyer, Giakoumatos, Green, Gregory, Grubbs, Hastings, Hobson, Jeffreys, Kass, Kirkpatrick, Lewis, Lindley, Liu, Lu, Lu, Martin D. Weinberg, Metropolis, Neal, Neal, Newton, Pearson, Press, Price, Raftery, Robert, Skilling, Storn, Storn, Sérsic, Ter Braak, Verdinelli, Wall, Weinberg, Weinberg, Yoon   +40 more
core   +1 more source

The Testbed for LISA Analysis Project

, 2006
The Testbed for LISA Analysis (TLA) Project aims to facilitate the development, validation and comparison of different methods for LISA science data analysis, by the broad LISA Science Community, to meet the special challenges that LISA poses.
Benacquista, Matthew J., Finn, Lee Samuel, Larson, Shane L., Rubbo, Louis J.   +3 more
core  

Astrocladistics: Multivariate Evolutionary Analysis in Astrophysics

, 2009
The Hubble tuning fork diagram, based on morphology and established in the 1930s, has always been the preferred scheme for classification of galaxies. However, the current large amount of data up to higher and higher redshifts asks for more sophisticated
Fraix-Burnet, Didier
core   +1 more source

Astroinformatics : Image processing and analysis of digitized astronomical data with web-based implementation [PDF]

, 2010
The newly born area of Astroinformatics has arisen as an interdisciplinary domain from Astronomy and Information and Communication Technologies (ICT).
Kirov, Nikolay, Kounchev, Ognian, Tsvetkov, Milcho   +2 more
core  

Using XML and semantic technologies in astroinformatics to manage data [PDF]

The aim of this doctoral research project is to develop contemporary data management solutions for the management and utilization of astronomy data.
Beech, Guy
core  

Quantification of High-dimensional Non-Gaussianities and Its Implication to Fisher Analysis in Cosmology. [PDF]

Astrophys J, 2023
Park CF, Allys E, Villaescusa-Navarro F, Finkbeiner D.   +3 more
europepmc   +1 more source

Using R-based VOStat as a Low-Resolution Spectrum Analysis Tool [PDF]

We describe here an online software suite VOStat written mainly for the Virtual Observatory, a novel structure in which astronomers share terabyte scale data. Written mostly in the public-domain statistical computing language and environment R, it can do
Ashish Mahabal, Jogesh G. Babu
core   +1 more source

Inference for the physical sciences. [PDF]

Philos Trans A Math Phys Eng Sci, 2013
Jones NS, Maccarone TJ.
europepmc   +1 more source