2018
MassiveOES: Open source software – bringing big data processing to spectroscopy
VORÁČ, Jan and Petr SYNEKBasic information
Original name
MassiveOES: Open source software – bringing big data processing to spectroscopy
Authors
VORÁČ, Jan (203 Czech Republic, guarantor, belonging to the institution) and Petr SYNEK (203 Czech Republic, belonging to the institution)
Edition
International conference on Data-driven Plasma Science, 2018
Other information
Language
English
Type of outcome
Conference abstract
Field of Study
10301 Atomic, molecular and chemical physics
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
is not subject to a state or trade secret
References:
RIV identification code
RIV/00216224:14310/18:00103695
Organization unit
Faculty of Science
Keywords in English
spectroscopy; big data; software; massiveOES
Changed: 26/10/2018 11:31, Mgr. Jan Voráč, Ph.D.
Abstract
V originále
Already for a few decades, acquisition of spectroscopic data can be very efficient. The combination of CCD chips (or intensified CCDs for precise timing) with imaging spectrographs allows the experimenters to acquire gigabytes of data in a single measuring session. Processing large amounts of spatially or temporally resolved spectra of often overlapping contributions requires a sophisticated and time-efficient approach. MassiveOES is software developed specifically for the analysis of optical emission spectra of plasma discharges, including batch processing, where best fitting parameters for one spectrum are used as initial estimate for the next one. A special plugin for state-by-state fitting with rotational and fine-structure resolution allows efficient and precise construction of Boltzmann plots for environments with non-thermal distributions. The spectral databases used by MassiveOES are in the form of SQL files. Currently, the databases for OH(A-X), N2(C-B), NH(A-X) and N2+ (B-X) in the near UV spectral region are available. The users
Links
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