A new highly sensitive broadband ferromagnetic resonance measurement system with lock-in detection

2012 ◽  
Vol 111 (7) ◽  
pp. 07A503 ◽  
Author(s):  
S. Beguhn ◽  
Ziyao Zhou ◽  
S. Rand ◽  
X. Yang ◽  
J. Lou ◽  
...  
Keyword(s):  
Ferromagnetic Resonance ◽  
Measurement System ◽  
Resonance Measurement ◽  
Highly Sensitive ◽  
Lock In

Highly Sensitive ?R/R Measurement System for Nano-electro-Mechanical Cantilever Based Bio-sensors

2011 ◽  
Author(s):  
Sandeep Surya ◽  
Sudip Nag ◽  
Avil J. Fernandes ◽  
Sahir Gandhi ◽  
Dilip Agarwal ◽  
...  
Keyword(s):  
Measurement System ◽  
Highly Sensitive

scholarly journals An automated system for selective and continuous measurements of vertical Thoron profiles for the determination of transport times near the ground

2013 ◽  
Vol 6 (1) ◽  
pp. 867-910
Author(s):  
D. Plake ◽  
I. Trebs
Keyword(s):  
Measurement System ◽  
Automated System ◽  
Transport Time ◽  
Reliable Determination ◽  
Plant Canopies ◽  
Highly Sensitive ◽  
Resistance Approach ◽  
Reactive Trace Gases ◽  
The Individual

Abstract. The quantification of in-canopy transport times is of a~major importance for the investigation of sources, sinks and net fluxes of reactive trace gases within plant canopies. The Damköhler number, which compares timescales of chemical reactions with transport times, is a widely applied measure to evaluate flux divergences. In this study, we present and evaluate a novel automated measurement system for selective vertical Thoron (Tn) profiles near the earth's surface and demonstrate its suitability for the direct and reliable determination of transport times within a natural grassland canopy. For the first time, we perform a rigorous determination of systematic and random uncertainties of Tn (and Rn) concentrations under field conditions for this type of measurement system. The obtained median precisions for three concentration classes (> 100 Bq m−3, 100–15 Bq m−3 < 15 Bq m−3) were 8.8%, 23.2% and 132.1% for Tn (and 16.6%, 25.0%, 99.2% for Rn). We calculate in-canopy transport times (τ) and propagate it's uncertainty from the individual errors of the Tn concentration measurements. A quality assessment of τ for the field experiment revealed a good data quality with 44% of the relative uncertainties below 50%. The occurrence of transport time uncertainties higher than 100% was caused by absolute Tn gradients lower than 70 Bq m−3, which was found for 22% of all determined transport times. In addition, the method was found to be highly sensitive to the Tn concentrations at the upper of two inlet heights (zu). Low values of CTnzu result in high absolute uncertainties of the transport time. A comparison of the measured τ with empirical parameterizations revealed the lowest scatter for the measured τ values. We found an excellent agreement of τ with transport times obtained by the in-canopy resistance approach used, e.g. in the SURFATM model during daytime, while the SURFATM model significantly overestimated transport times during nighttime.

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