Although the roles of data centers and computing centers are becoming more and more important, and on-line research is becoming the mainstream for astronomy, individual research based on locally hosted data is still very common. With the increase of personal storage capacity, it is easy to find hundreds to thousands of FITS files in the personal computer of an astrophysicist. Because Flexible I...

In this study we investigated the generality of the electrophysiological mechanisms underlying verb agreement relations by looking not only at subject-verb (SV) but, moreover, at object-verb (OV) agreement phenomena in Basque-a language in which both the subject and the object have to agree with the verb. We first provide event-related potentials (ERP) evidence for processing differences in SV ...

The knowledge discovery potential of the new large astronomical databases is vast. When these are used in conjunction with the rich legacy data archives, the opportunities for scientific discovery multiply rapidly. A Virtual Observatory (VO) framework will enable transparent and efficient access, search, retrieval, and visualization of data across multiple data repositories, which are generally...

The ADS All-Sky Survey (ADSASS) is an ongoing effort aimed at turning the NASA Astrophysics Data System (ADS), widely known for its unrivaled value as a literature resource for astronomers, into a data resource. The ADS is not a data repository per se, but it implicitly contains valuable holdings of astronomical data, in the form of images, tables and object references contained within articles...

There are fools who pretend to predict the future Erasmus (1510) ABSTRACT It is argued that the astronomy of the twenty-first century will be dominated by computer-based manipulation of huge homogeneous surveys of various types of astronomical objects. Furthermore combination of all observations with large telescopes into a single database will allow data mining on an unprecedented scale.

Adaptive optics compensation of turbulence effects in image data is seldom perfect. To achieve diffraction-limited resolution, especially with astronomical systems designed to guide on very dim natural objects, post-detection processing (deconvolution) must be accomplished. I discuss the history of deconvolution schemes in astronomical imaging, the limits imposed by data noise, and details of s...

We present extensive calculations of radiative transition rates and electron impact collision strengths for Fe II. The data sets involve 52 levels from the 3d, 3d4s, and d s 3 4 5 2 configurations. Computations of A-values are carried out with a combination of state-of-the-art multiconfiguration approaches, namely the relativistic Hartree–Fock, Thomas–Fermi–Dirac potential, and Dirac–Fock metho...

The applications of fuzzy logic and fuzzy algorithms to the classification of celestial objects will be explored through various prominent papers in the field. Specifically, these papers will address issues concerning star and galaxy separation, classification of stars into their spectral types, classification of galaxies into the main galaxy types, and comparing the results to their neural net...

Celeste is a procedure for inferring astronomical catalogs that attains state-of-the-art scientific results. To date, Celeste has been scaled to at most hundreds of megabytes of astronomical images: Bayesian posterior inference is notoriously demanding computationally. In this paper, we report on a scalable, parallel version of Celeste, suitable for learning catalogs from modern large-scale ast...