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: http://hea-www.harvard.edu/PINTofALE/
Дата изменения: Unknown Дата индексирования: Sat Apr 9 23:55:39 2016 Кодировка: Поисковые слова: m 35 |
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PINTofALE was originally developed to analyze spectroscopic data from optically-thin coronal plasmas, though much of the software is sufficiently general to be of use in a much wider range of astrophysical data analyses. It is based on a modular set of IDL tools that interact with an atomic database and with observational data. The tools are designed to allow easy identification of spectral features, measure line fluxes, and carry out detailed modeling. The basic philosophy of the package is to provide access to the innards of atomic line databases, and to have flexible tools to interactively compare with the observed data. It is motivated by the large amount of book-keeping, computation and iterative interaction that is required between the researcher and observational and theoretical data in order to derive astrophysical results. The tools link together transparently and automatically the processes of spectral ``browsing'', feature identification, measurement, and computation and derivation of results. Unlike standard modeling and fitting engines currently in use, PINTofALE opens up the ``black box'' of atomic data required for UV/X-ray analyses and allows the user full control over the data that are used in any given analysis.
There are 4 basic components to the system: routines (1) to handle externally compiled atomic databases such as CHIANTI, SPEX, and APED; (2) to quickly access the database of lines, continua, and ion balance compiled from the external databases; (3) to carry out various analysis tasks such as flux measurement, feature identification, emission measure estimation, DEM reconstruction, density estimation, etc; and (4) general utility procedures that codify many useful analysis tasks. This structure is illustrated below: atomic data from external compilations are recast into a uniform format, which are then read into the IDL environment and manipulated conditional on source parameters and observational data. The diagram is intended to represent the interactive and iterative nature of this process. (Here's a more detailed view.)
pintofale@cfa.harvard.edu | |
Jeremy J. Drake jdrake@cfa.harvard.edu |
Vinay L. Kashyap vkashyap@cfa.harvard.edu |