Astronomical data reduction is usually done with processing pipelines that consist of a series of individual processing steps that can be executed stand-alone. These processing steps are then strung ...together into workflows and fed with data to address a particular processing goal. In this paper, we propose a data processing system that automatically derives processing workflows for different use cases from a single specification of a cascade of processing steps. The system works by using formalized descriptions of data processing pipelines that specify the input and output of each processing step. Inputs can be existing data or the output of a previous step. Rules to select the most appropriate input data are directly attached to the description. A version of the proposed system has been implemented as the ESO Data Processing System (EDPS) in the Python language. The specification of processing cascades and data organisation rules use a restrictive set of Python classes, attributes and functions. The EDPS implementation of the proposed system was used to demonstrate that it is possible to automatically derive from a single specification of a pipeline processing cascade the workflows that the European Southern Observatory uses for quality control, archive production, and specialized science reduction. The EDPS will be used to replace all data reduction systems using different workflow specifications that are currently used at the European Southern Observatory.
A sample of Hα line emitting galaxies at redshifts between 0.7and 1.9 selected from the HST/NICMOS G141 grism parallel survey was recently presented by McCarthy et al. (1999). The galaxies in that ...sample were identified from quasi-random pointings and therefore should present an unbiased sample of emission line galaxies at that redshift. Spectral as well as morphological properties of the sample derived from the NICMOS images are investigated and compared to those found from HDF galaxies in a similar redshift range and local emission line galaxies.PUBLICATION ABSTRACT
A sample of H alpha line emitting galaxies at redshifts between 0.7and 1.9 selected from the HST/NICMOS G141 grism parallel survey was recently presented by McCarthy et al. (1999). The galaxies in ...that sample were identified from quasi-random pointings and therefore should present an unbiased sample of emission line galaxies at that redshift. Spectral as well as morphological properties of the sample derived from the NICMOS images are investigated and compared to those found from HDF galaxies in a similar redshift range and local emission line galaxies.
The Tully-Fisher Relation and H0 Giovanelli, Riccardo; Haynes, Martha P; da Costa, Luiz N ...
The Astrophysical journal,
03/1997, Letnik:
477
Journal Article
A method is proposed to find and remove cosmic rays from stacks of images which are not registered. Such dithered images obtained with undersampling cameras, such as the Wide Field and Planetary ...Camera 2 (WFPC2) on board the Hubble Space Telescope, can be used to recover some of the resolution lost by a large pixel size. The proposed method simultaneously cleans the images of cosmic rays and deconvolves them. Cosmic-ray hits are dynamically identified at each iteration. The output is a combined and restored image and a list of cosmic-ray hits for each of the input images. The final lists of cosmic-ray hits are useful even if a restoration of the images is not desired. A simulated application of the method to WFPC2 images is presented.
Iron Emission in z 6 QSO s Freudling, Wolfram; Corbin, Michael R.; Korista, Kirk T.
The Astrophysical journal,
04/2003, Letnik:
587, Številka:
2
Journal Article
Scientific data collected at ESO's observatories are freely and openly accessible online through the ESO Science Archive Facility. In addition to the raw data straight out of the instruments, the ESO ...Science Archive also contains four million processed science files available for use by scientists and astronomy enthusiasts worldwide. ESO subscribes to the FAIR (Findable, Accessible, Interoperable, Reusable) guiding principles for scientific data management and stewardship. All data in the ESO Science Archive are distributed according to the terms of the Creative Commons Attribution 4.0 International licence (CC BY 4.0).
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