The Use and Calibration of the Kern ME5000 Mekometer - SLAC ...
The Use and Calibration of the Kern ME5000 Mekometer - SLAC ...
The Use and Calibration of the Kern ME5000 Mekometer - SLAC ...
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2.1.2. Short Distance Mode<br />
.<br />
<strong>ME5000</strong> Data Reductions<br />
For all distances below 20 m only two frequencies are found. For distances below about 8 m only one<br />
frequency is found, <strong>and</strong> an approximate distance is required in order to resolve <strong>the</strong> distance.<br />
Where two frequencies have been found <strong>the</strong> procedure is similar to that for normal range, (5-8).<br />
DF = F2 - F1 (5)<br />
Ni<br />
Ni Cstp<br />
Di = 2F. +ADC<br />
I<br />
D<br />
Dl+&<br />
=-<br />
2<br />
For <strong>the</strong> shortest distances, where only one frequency is found, an approximate distance is required,<br />
(9-l 1).<br />
?L =cs’p<br />
2F1<br />
N1 = md(D”“iADC)<br />
05)<br />
x = wavelength for frequency F1 (9)<br />
D am = approximate distance<br />
.- D = hNlsADC (11)<br />
2.2. Atmospheric Corrections<br />
After computing <strong>the</strong> raw distance afresh from <strong>the</strong> frequencies, <strong>the</strong> first reductions applied are three<br />
different atmospheric corrections.<br />
23.1. Refractive Index<br />
<strong>The</strong> distance displayed on <strong>the</strong> <strong>ME5000</strong> <strong>and</strong> recorded in <strong>the</strong> raw data file is calculated assuming a<br />
st<strong>and</strong>ard atmosphere, Table 1.<br />
TABLE I. St<strong>and</strong>ard Atmosphere<br />
<strong>The</strong> actual meteorological parameters are measured at both ends <strong>of</strong> <strong>the</strong> line <strong>and</strong> stored in <strong>the</strong> raw data<br />
file in <strong>the</strong> following units:<br />
Temperature: dry bulb temperature in Oc.<br />
Moisture: relative humidity (%) or wet bulb temperature PC).<br />
Pressure: in mmHg or mbar.<br />
<strong>The</strong> atmospheric corrections are applied using <strong>the</strong> mean values for each <strong>of</strong> <strong>the</strong>se parameters.<br />
28<br />
(8)<br />
(10)