Here - PMOD/WRC
Here - PMOD/WRC
Here - PMOD/WRC
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
Distribution temperature scale realization at NIM-Romania<br />
Author’s name, M. Simionescu and A. Seucan<br />
Affiliation, NIM-Romania<br />
B. Rougie,<br />
LNE-INM, France<br />
Abstract. The closure of the photometric calibration<br />
service of BIPM stirred more national laboratories to<br />
find new SI traceability routes for luminous intensity<br />
and luminous flux calibrations. Therefore, as<br />
reported elsewhere [1], NIM-Romania developed it`s<br />
own, radiometer based, references for luminous<br />
intensity and flux units. To allow units transfer to<br />
secondary standards, a temperature distribution scale<br />
was realized using a multi filtered irradiance meter<br />
traceable to the INM/CNAM-France primary<br />
standard for radiant flux. Theory, design information<br />
and so far obtained results are reported. Key words:<br />
spectral irradiance, distribution temperature.<br />
1 Theory<br />
Secondary standards most frequently used in<br />
photometry are incandescent lamps of special design<br />
that exhibit a quasi Gray Body behaviour in the VIS<br />
and near IR ranges. This also apply to halide lamps<br />
operated in the 2700 K...3300 K range. Assuming a<br />
filtered irradiance meter with two spectral bands,<br />
λ 1 ...λ 2 and λ 3 ...λ 4 , for the range λ 1 ...λ 4 , the<br />
distribution temperature (T 1,4 ) should be the solution<br />
of eq.:<br />
λ 2<br />
∫<br />
s1,2<br />
( λ)<br />
⋅ L0<br />
( λ,<br />
T1,4<br />
) ⋅ dλ<br />
Y1 ,2 λ1<br />
=<br />
(1)<br />
λ 4<br />
Y3,4<br />
s ( λ)<br />
⋅L<br />
( λ,<br />
T ) ⋅ dλ<br />
∫<br />
3,4<br />
λ3<br />
0<br />
where : Y 1,2 and Y 3,4 are the photocurrents generated<br />
by the radiometer in the two different spectral bands;<br />
s(λ) is the (absolute) spectral responsivity of the<br />
filtered radiometer and L 0 (λ 1,4 ) is the spectral<br />
radiance of a Black Body at temperature T 1,4 .<br />
2 Practical realization<br />
A multichanell irradiance meter was developped at<br />
NIM-Romania, covering the wavelength range of<br />
(400…800) nm (Fig. 1).<br />
Figure 1. Filtered irradiance meter basic design<br />
1,4<br />
The definying characteristic of the filtered irradiance<br />
meter is it`s spectral responsivity:<br />
Y ( λ)<br />
R e<br />
( λ)<br />
= = A⋅<br />
s(<br />
λ)<br />
(2)<br />
E(<br />
λ)<br />
10<br />
8<br />
6<br />
4<br />
2<br />
0<br />
Re*E6 [(Axm2)/W]<br />
300 400 500 600 700 800 nm<br />
Figure 2. Spectral responsivity of the irradiance meter in<br />
different spectral bands<br />
3 Characterization<br />
Related to eq. (1), the signals ratios Y 1,2 / Y 3,4 have<br />
an estimated combined uncertainty of 0,15 %. The<br />
spectral responsivity on different measurement<br />
channels (as defined by the different filters) was<br />
measured against the NIM-Romania reference,<br />
traceable to the LNE-INM, France primary standard.<br />
The obtained values were characterised by an<br />
estimated standard uncertainty of 0,50 %.<br />
From eq. (1) it becomes apparent that the estimated<br />
distribution temperature is a function of many<br />
parameters:<br />
T<br />
[ Y / Y , s ( λ),<br />
s ( λ),<br />
c c ]<br />
1 ,4<br />
= f<br />
1,2 3,4 1,2 3,4 1,<br />
so numerical calculation was used troughout for<br />
sensitivity estimations. This approach led to the<br />
uncertainty budget tabulated below :<br />
Quantity<br />
Associated<br />
standard<br />
uncertainty<br />
(%)<br />
Sensitivity<br />
coefficient<br />
(K / %)<br />
Y 1,2 / Y 3-4 0,15 % δT 1,4 /<br />
δ(Y 1,2 /Y 3,4) ≈<br />
50 K / %<br />
s 1,2 (λ) 0,50 % δT 1,4 / δs 1,2 (λ)<br />
≈ 30 K / %<br />
s 3,4 (λ) 0,50 % δT 1,4 / δs 3,4 (λ)<br />
≈ 30 K / %<br />
2<br />
Contribution to<br />
the combined<br />
std. uncertainty<br />
(K)<br />
≈ 7,5 K<br />
≈ 15 K<br />
≈ 15 K<br />
T 1,4<br />
≈ 23 K<br />
Table 1. Temperature distribution measurement uncertainty<br />
budget<br />
Proceedings NEWRAD, 17-19 October 2005, Davos, Switzerland 319