Abstract
The Luiza analysis framework for GLORIA is based on the Marlin package, which was originally developed for data analysis in the new High Energy Physics (HEP) project, International Linear Collider (ILC). The HEP experiments have to deal with enormous amounts of data and distributed data analysis is therefore essential. The Marlin framework concept seems to be well suited for the needs of GLORIA. The idea (and large parts of the code) taken from Marlin is that every computing task is implemented as a processor (module) that analyzes the data stored in an internal data structure, and the additional output is also added to that collection. The advantage of this modular approach is that it keeps things as simple as possible. Each step of the full analysis chain, e.g. from raw images to light curves, can be processed step-by-step, and the output of each step is still self consistent and can be fed in to the next step without any manipulation.
Highlights
GLORIA [1] (GLObal Robotic-telescope Intelligent Array) is an innovative citizen-science network of robotic observatories, which will give free access to professional telescopes for a virtual community via the Internet
The GLORIA project will develop free standards and tools for doing research in astronomy, both by making observations with robotic telescopes and by analyzing data that other users have acquired with GLORIA and/or from other free access databases, e.g. the European Virtual Observatory
Until now we have mainly focused on the development of the general structure and functionality of Luiza: data classes based on the FITS standard have been designed, steer file parsing and processing management have been adopted from Marlin, processors for input and output of FITS image files have been implemented on the basis of CFITSIO library
Summary
GLORIA [1] (GLObal Robotic-telescope Intelligent Array) is an innovative citizen-science network of robotic observatories, which will give free access to professional telescopes for a virtual community via the Internet. One of the challenges we have to face in designing the environment for off-line GLORIA experiments is how to deal with huge amounts of data and a large variety of analysis tasks. Data analysis for LHC experiments has to be performed on the LHC Computing Grid (WLCG), which currently includes about 170000 TB of disk space and CPU power of about 1800000 HEPSPEC06 units. This analysis is only possible thanks to custom-designed, highly efficient analysis software. A dedicated Marlin [2] framework has been developed for efficient data reconstruction (corresponding to image reduction in astronomy) and analysis. We decided to adopt this framework for the needs of data analysis in GLORIA
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