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Experimental Study of Temperature-Dependence Experimental Study of Temperature-Dependence

Experimental Study of Temperature-Dependence - PowerPoint Presentation

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Experimental Study of Temperature-Dependence - PPT Presentation

Laws of NonVoigt Absorption Line Shape Parameters gt ISMS 2017 gt Jonas Wilzewski TemperatureDependence of Line Shape Parameters gt 62117 DLRde Chart 1 Jonas Wilzewski ID: 633118

dependence temperature line parameters temperature dependence parameters line shape 2017 jonas chart wilzewski isms law dlr results voigt mbar error power mixing

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Slide1

Experimental Study of Temperature-Dependence Laws of Non-Voigt Absorption Line Shape Parameters

> ISMS 2017 > Jonas Wilzewski • Temperature-Dependence of Line Shape Parameters > 6/21/17

DLR.de • Chart 1

Jonas Wilzewski1, Manfred Birk, Joep Loos, Georg WagnerRemote Sensing Technology InstituteGerman Aerospace Center (DLR), Germany1 Also at Ludwig-Maximilians-Universität, Physics Department, Munich, GermanySlide2

Behavior of non-Voigt parameters

with temperature remains unclear

Test of the commonly used power law for temperature-dependence:

comparison with other temperature lawsTest of lineshape theoryGhysels et al.1:

 

Motivation

> ISMS 2017 > Jonas Wilzewski • Temperature-Dependence of Line Shape Parameters > 6/21/17

DLR.de • Chart 2

1

Appl. Phys. B

123

, 124 (2017

) Slide3

CO

2

ν3 band

perturbed by N2Bruker IFS 125HR FT spectrometerSingle pass absorption cell, L=0.22 mT = 190, 200, 220, 240, 260, 280, 296, 310, 330 Kp = 10, 30, 100, 300, 1000 mbar2 different

mixing

ratios of CO2 – N2pure CO2 spectra to characterize ILS at each TMOPD: 1.2 m (1000, 300 mbar), 2.0 m (100 mbar), 2.5 m (30, 10 mbar)Experiment> ISMS 2017 > Jonas Wilzewski • Temperature-Dependence of Line Shape Parameters > 6/21/17DLR.de • Chart 3

9 Temperatures

5 Pressures

2 Mixing RatiosSlide4

Multispectrum fits in pressure

at each temperature

Instrumental Line Shape (ILS)characterized with LINEFIT

software by Hase et al.1Quadratic Speed-DependentHard Collision model implemented as in Ngo et al.2Fittedσ, S,

γ

0, γ2, δ0, δ2, νVC, Y0AnalysisDLR.de • Chart 41 Appl. Opt. 38

, 3417-3422 (1999)

2 JQSRT

134

, 105 (2014)

> ISMS 2017 > Jonas Wilzewski • Temperature-Dependence of Line Shape Parameters > 6/21/17Slide5

Power law

introduces

0.2% error on linewidths

on

average Results – γ0DLR.de • Chart 5> ISMS 2017 > Jonas Wilzewski • Temperature-Dependence of Line Shape Parameters > 6/21/17T = 296 KSlide6

Power law

works well for

γ2 γ

0 and γ2 exhibit different behavior in temperature:

Assuming

n(γ0) = n(γ2) leads to error of ~13% on average in γ2 (at 190 K) Results – γ2DLR.de • Chart 6> ISMS 2017 > Jonas Wilzewski • Temperature-Dependence of Line Shape Parameters > 6/21/17Slide7

Results – δ0

DLR.de • Chart

7

> ISMS 2017 > Jonas Wilzewski • Temperature-Dependence of Line Shape Parameters > 6/21/17Linear law recommended:

 Slide8

Results – νVC

DLR.de • Chart

8

> ISMS 2017 > Jonas Wilzewski • Temperature-Dependence of Line Shape Parameters > 6/21/17Power law is suitablen(νVC)= 1.2 on average,  close to theoretical

expectation

n(νVC)=1 (νVC = kT / 2πcmD | D~T2)11JQSRT 129, 89 (2013) Slide9

Evaluation of non-Voigt line shape

parameters over 140 K range

based on experiments with CO

2 perturbed by N2 Rotational quantum number dependence of non-Voigt temperature-dependencies accessibleErrors introduced by different temperature-dependence

models become quantifiableDistinct temperature-dependencies observed for γ0 and γ2Power law suitable to describe temperature-dependence of all parameters, except δ0SummaryDLR.de • Chart 9> ISMS 2017 > Jonas Wilzewski • Temperature-Dependence of Line Shape Parameters > 6/21/17Slide10

Results – Y0

DLR.de • Chart

10

> ISMS 2017 > Jonas Wilzewski • Temperature-Dependence of Line Shape Parameters > 6/21/17Power law better suited than linear lawSlide11

Error

contributions – example: γ

2DLR.de • Chart

11> ISMS 2017 > Jonas Wilzewski • Temperature-Dependence of Line Shape Parameters > 6/21/17