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Related papers: Mining the Digital Hamburg/ESO Objective Prism Sur…

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We describe automatic procedures for the selection of DA white dwarfs in the Hamburg/ESO objective-prism survey (HES). For this purpose, and the selection of other stellar objects (e.g., metal-poor stars and carbon stars), a flexible,…

Astrophysics · Physics 2009-10-31 N. Christlieb , L. Wisotzki , D. Reimers , D. Homeier , D. Koester , U. Heber

An automated search for metal-poor stars is carried out in the course of the Hamburg/ESO objective-prism survey (HES), which covers the full southern sky at Galactic latitudes |b| \gtrsim 30 degrees. As the HES reaches approx. 1 magnitude…

We report on a search for extremely metal-poor ([Fe/H]<-3.0) turnoff stars in the Hamburg/ESO objective prism survey (HES). Metal-poor stars are selected by automatic spectral classification. Extensive simulations show that the selection…

Astrophysics · Physics 2009-10-31 N. Christlieb , D. Reimers , L. Wisotzki , J. Reetz , T. Gehren , T. C. Beers

We employ classical statistical methods of multivariate classification for the exploitation of the stellar content of the Hamburg/ESO objective prism survey (HES). In a simulation study we investigate the precision of a three-dimensional…

Astrophysics · Physics 2009-11-07 Norbert Christlieb , Lutz Wisotzki , Gerd Grasshoff

We present a sample of 403 faint high latitude carbon (FHLC) stars selected from the digitized objective prism plates of the Hamburg/ESO Survey (HES). Because of the ~15 Angstroem spectral resolution and high signal-to-noise ratio of the…

Astrophysics · Physics 2009-11-06 N. Christlieb , P. J. Green , L. Wisotzki , D. Reimers

We present the quantitative methods used for selecting candidate metal-poor stars in the Hamburg/ESO objective-prism survey (HES). The selection is based on the strength of the Ca II K line, B-V colors (both measured directly from the…

Astrophysics · Physics 2009-11-13 N. Christlieb , T. Schoerck , A. Frebel , T. C. Beers , L. Wisotzki , D. Reimers

We report on two major surveys for metal-poor stars in the galactic halo, the HK survey, and the Hamburg/ESO survey, which have been undertaken in order to provide targets for high-resolution spectroscopy with the Subaru HDS and other large…

Astrophysics · Physics 2007-05-23 Norbert Christlieb , Timothy C. Beers

We describe a method for the extraction of spectra from high dispersion objective prism plates. Our method is a catalogue driven plate solution approach, making use of the Right Ascension and Declination coordinates for the target objects.…

Astrophysics · Physics 2009-10-30 Coryn A. L. Bailer-Jones , Mike Irwin , Ted von Hippel

In this series of two papers we present a high dispersion spectroscopic analysis of 8 candidate extremely metal poor stars selected from the Hamburg/ESO Survey and of 6 additional very metal poor stars. We demonstrate that with suitable…

We describe a new method to search for metal-poor candidates from the Hamburg/ESO objective-prism survey (HES) based on identifying stars with apparently strong CH G-band strengths for their colors. The hypothesis we exploit is that large…

We present a sample of 8321 candidate Field Horizontal-Branch (FHB) stars selected by automatic spectral classification in the digital data base of the Hamburg/ESO objective-prism survey. The stars are distributed over 8225 square degrees…

Astrophysics · Physics 2009-11-10 N. Christlieb , T. C. Beers , C. Thom , R. Wilhelm , S. Rossi , C. Flynn , L. Wisotzki , D. Reimers

The Gaia-ESO Survey was designed to target all major Galactic components (i.e., bulge, thin and thick discs, halo and clusters), with the goal of constraining the chemical and dynamical evolution of the Milky Way. This paper presents the…

I review the status of the search for extremely metal-poor halo stars with the Hamburg/ESO objective-prism survey (HES). 2194 candidate metal-poor turn-off stars and 6133 giants in the magnitude range 14 < B < 17.5 have been selected from…

Astrophysics · Physics 2015-06-03 Norbert Christlieb

The start of operation of several large-aperture telescopes has motivated several groups around the world to conduct deep large imaging surveys, complementing other wide-area but shallower surveys. A special class of imaging surveys are the…

Astrophysics · Physics 2007-05-23 L. A. N. da Costa

The KPNO International Spectroscopic Survey (KISS) is a new objective-prism survey for extragalactic emission-line objects. It combines many of the features of previous slitless spectroscopic surveys that were carried out with Schmidt…

We applied machine learning to the entire data history of ESO's High Accuracy Radial Velocity Planet Searcher (HARPS) instrument. Our primary goal was to recover the physical properties of the observed objects, with a secondary emphasis on…

Solar and Stellar Astrophysics · Physics 2024-12-13 Vojtěch Cvrček , Martino Romaniello , Radim Šára , Wolfram Freudling , Pascal Ballester

We analyze the state of the art of content-based retrieval in Earth observation image archives focusing on complete systems showing promise for operational implementation. The different paradigms at the basis of the main system families are…

Information Retrieval · Computer Science 2014-05-23 Marco Quartulli , Igor G. Olaizola

One of important aims of astronomical data mining is to systematically search for specific rare objects in a massive spectral dataset, given a small fraction of identified samples with the same type. Most existing methods are mainly based…

Astrophysics of Galaxies · Physics 2016-03-23 Changde Du , Ali Luo , Haifeng Yang , Wen Hou , Yanxin Guo

We review some of the scientific opportunities and technical challenges posed by the exploration of the large digital sky surveys, in the context of a Virtual Observatory (VO). The VO paradigm will profoundly change the way observational…

Earth Observation (EO) mining aims at supporting efficient access and exploration of petabyte-scale space- and airborne remote sensing archives that are currently expanding at rates of terabytes per day. A significant challenge is…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-01-22 Luigi Mascolo , Marco Quartulli , Pietro Guccione , Giovanni Nico , Igor G. Olaizola
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