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@proceedings{1437096,
author = {Voráč, Jan and Synek, Petr},
booktitle = {International conference on Data-driven Plasma Science},
keywords = {spectroscopy; big data; software; massiveOES},
language = {eng},
title = {MassiveOES: Open source software – bringing big data processing to spectroscopy},
url = {https://www.york.ac.uk/physics/ypi/conferences/icddps/confirmedspeakers/},
year = {2018}
}
TY - CONF
ID - 1437096
AU - Voráč, Jan - Synek, Petr
PY - 2018
TI - MassiveOES: Open source software – bringing big data processing to spectroscopy
KW - spectroscopy
KW - big data
KW - software
KW - massiveOES
UR - https://www.york.ac.uk/physics/ypi/conferences/icddps/confirmedspeakers/
L2 - https://www.york.ac.uk/physics/ypi/conferences/icddps/confirmedspeakers/
N2 - 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
ER -
VORÁČ, Jan a Petr SYNEK. MassiveOES: Open source software – bringing big data processing to spectroscopy. In \textit{International conference on Data-driven Plasma Science}. 2018.
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