State-by-state spectra fitting tool for highly non-equilibrium
plasmas:Analysis of the OH spectra of Barrier Discharge at
Water Interface

a 2017

State-by-state spectra fitting tool for highly non-equilibrium plasmas:Analysis of the OH spectra of Barrier Discharge at Water Interface

HODER, Tomáš; Jan VORÁČ a Petr SYNEK

Základní údaje

Originální název

State-by-state spectra fitting tool for highly non-equilibrium plasmas:Analysis of the OH spectra of Barrier Discharge at Water Interface

Autoři

HODER, Tomáš; Jan VORÁČ a Petr SYNEK

Vydání

Gaseous Electronics Conference, 2017

Další údaje

Jazyk

angličtina

Typ výsledku

Konferenční abstrakt

Obor

10305 Fluids and plasma physics

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14310/17:00095602

Organizační jednotka

Přírodovědecká fakulta

Klíčová slova česky

fitovani spekter; nerovnovazne plazma; voda

Klíčová slova anglicky

spectra fitting; non-equilibrium plasma; water

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 26. 3. 2018 20:25, prof. Mgr. Tomáš Hoder, Ph.D.

Anotace

V originále

Recently, the interest in discharges in contact with water increased enormously. Often, the discharges are ignited in a noble gas and the atoms and water fragments are the only available spectral signature. In such cases, the spectrum of hydroxyl radical may seem attractive for neutral gas thermometry. This contribution brings an extensive analysis of OH(A-X) spectrum obtained on special case of kHz driven surface DBD in contact with water. We have observed a spectrum that can be interpreted as a superposition of emission from several groups of OH. We have distinguished three groups - cold group, best observable for low N’ quantum numbers, hot group, best observable for higher N’ quantum numbers and the third group influenced by iso-energetic vibrational energetic transfer OH(A,v’=1 -> v’=0), best observable for 8 < N’< 14. The data was processed by the novel method of state-by-state fitting. This approach combines spectral simulation and traditional Boltzmann plot construction procedure. A synthetic spectrum is simulated for each rovibronic upper state, including the instrumental broadening and matched with the measurement. This functionality was incorporated to the massiveOES software.

Návaznosti

GJ16-09721Y, projekt VaV

Název: Pokročilé experimentální studium přechodných povrchových výbojů

Investor: Grantová agentura ČR, Pokročilé experimentální studium přechodných povrchových výbojů

Citovat

HODER, Tomáš; Jan VORÁČ a Petr SYNEK. State-by-state spectra fitting tool for highly non-equilibrium plasmas:Analysis of the OH spectra of Barrier Discharge at Water Interface. In Gaseous Electronics Conference. 2017.

@proceedings{1412635,
   author = {Hoder, Tomáš and Voráč, Jan and Synek, Petr},
   booktitle = {Gaseous Electronics Conference},
   keywords = {spectra fitting; non-equilibrium plasma; water},
   language = {eng},
   title = {State-by-state spectra fitting tool for highly non-equilibrium plasmas:Analysis of the OH spectra of Barrier Discharge at Water Interface},
   url = {http://www.apsgec.org/gec2017/},
   year = {2017}
}

TY  - CONF
ID  - 1412635
AU  - Hoder, Tomáš - Voráč, Jan - Synek, Petr
PY  - 2017
TI  - State-by-state spectra fitting tool for highly non-equilibrium plasmas:Analysis of the OH spectra of Barrier Discharge at Water Interface
KW  - spectra fitting
KW  - non-equilibrium plasma
KW  - water
UR  - http://www.apsgec.org/gec2017/
L2  - http://www.apsgec.org/gec2017/
N2  - Recently, the interest in discharges in contact with water increased enormously. Often, the discharges are ignited in a noble gas and the atoms and water fragments are the only available spectral signature. In such cases, the spectrum of hydroxyl radical may seem attractive for neutral gas thermometry. This contribution brings an extensive analysis of OH(A-X) spectrum obtained on special case of kHz driven surface DBD in contact with water. We have observed a spectrum that can be interpreted as a superposition of emission from several groups of OH. We have distinguished three groups - cold group, best observable for low N’ quantum numbers, hot group, best observable for higher N’ quantum numbers and the third group influenced by iso-energetic vibrational energetic transfer OH(A,v’=1 -> v’=0), best observable for 8 < N’< 14. The data was processed by the novel method of state-by-state fitting. This approach combines spectral simulation and traditional Boltzmann plot construction procedure. A synthetic spectrum is simulated for each rovibronic upper state, including the instrumental broadening and matched with the measurement. This functionality was incorporated to the massiveOES software.
ER  -

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