Showing 2014 · astro-ph.IMShow all

14 papers · 2 filters

astro-ph.IM2014★ 1 cited

The NIFTY way of Bayesian signal inference

Marco Selig

We introduce NIFTY, "Numerical Information Field Theory", a software package for the development of Bayesian signal inference algorithms that operate independently from any underly…

astro-ph.IM2014★ 23 cited

INTEGRAL 11-year hard X-ray survey above 100 keV

Roman A. Krivonos, Sergey S. Tsygankov, Alexander A. Lutovinov +3

We present results of all sky survey, performed with data acquired by the IBIS telescope onboard the INTEGRAL observatory over eleven years of operation, at energies above 100 keV.…

astro-ph.IM2014★ 73 cited

Measuring a Cherenkov ring in the radio emission from air showers at 110-190 MHz with LOFAR

A. Nelles, P. Schellart, S. Buitink +66

Measuring radio emission from air showers offers a novel way to determine properties of the primary cosmic rays such as their mass and energy. Theory predicts that relativistic tim…

astro-ph.IM2014★ 38 cited

The LOFAR long baseline snapshot calibrator survey

J. Moldón, A. T. Deller, O. Wucknitz +82

Aims. An efficient means of locating calibrator sources for International LOFAR is developed and used to determine the average density of usable calibrator sources on the sky for s…

astro-ph.IM2014★ 70 cited

Comparison of algorithms for determination of rotation measure and Faraday structure I. 1100 - 1400 MHz

X. H. Sun, L. Rudnick, Takuya Akahori +14

(abridged) We run a Faraday structure determination data challenge to benchmark the currently available algorithms including Faraday synthesis (previously called RM synthesis in th…

astro-ph.IM2014★ 84 cited

New numerical solver for flows at various Mach numbers

F. Miczek, F. K. Roepke, P. V. F. Edelmann

Many problems in stellar astrophysics feature flows at low Mach numbers. Conventional compressible hydrodynamics schemes frequently used in the field have been developed for the tr…

astro-ph.IM2014★ 30 cited

The Overlooked Potential of Generalized Linear Models in Astronomy-II: Gamma regression and photometric redshifts

J. Elliott, R. S. de Souza, A. Krone-Martins +3

Machine learning techniques offer a precious tool box for use within astronomy to solve problems involving so-called big data. They provide a means to make accurate predictions abo…

astro-ph.IM2014★ 39 cited

The Overlooked Potential of Generalized Linear Models in Astronomy - I: Binomial Regression

R. S. de Souza, E. Cameron, M. Killedar +6

Revealing hidden patterns in astronomical data is often the path to fundamental scientific breakthroughs; meanwhile the complexity of scientific inquiry increases as more subtle re…

astro-ph.IM2014★ 101 cited

Flux calibration of medium-resolution spectra from 300 nm to 2500 nm: Model reference spectra and telluric correction

S. Moehler, A. Modigliani, W. Freudling +8

While the near-infrared wavelength regime is becoming more and more important for astrophysics there is a marked lack of spectrophotometric standard star data that would allow the…

astro-ph.IM2014★ 109 cited

LOFAR Sparse Image Reconstruction

H. Garsden, J. N. Girard, J. L. Starck +77

Context. The LOw Frequency ARray (LOFAR) radio telescope is a giant digital phased array interferometer with multiple antennas distributed in Europe. It provides discrete sets of F…

astro-ph.IM2014★ 7 cited

Astrophysical data analysis with information field theory

Torsten Enßlin

Non-parametric imaging and data analysis in astrophysics and cosmology can be addressed by information field theory (IFT), a means of Bayesian, data based inference on spatially di…

astro-ph.IM2014★ 181 cited

Estimating extragalactic Faraday rotation

Niels Oppermann, Henrik Junklewitz, Maksim Greiner +11

(abridged) Observations of Faraday rotation for extragalactic sources probe magnetic fields both inside and outside the Milky Way. Building on our earlier estimate of the Galactic…

astro-ph.IM2014★ 48 cited

A PCA-based automated finder for galaxy-scale strong lenses

R. Joseph, F. Courbin, R. B. Metcalf +11

We present an algorithm using Principal Component Analysis (PCA) to subtract galaxies from imaging data, and also two algorithms to find strong, galaxy-scale gravitational lenses i…

astro-ph.IM2014★ 25 cited

A new approach to multi-frequency synthesis in radio interferometry

H. Junklewitz, M. A. Bell, T. Enßlin

We present a new approach to multi-frequency synthesis in radio astronomy. Using Bayesian inference techniques, the new technique estimates the sky brightness and the spectral inde…