Effect of Particle-Number Projection on the Determination of the Ground State of Superconducting Nuclei

1970 ◽  
Vol 2 (1) ◽  
pp. 324-325 ◽  
Author(s):  
A. Rimini ◽  
T. Weber
Keyword(s):  
Ground State ◽  
Particle Number

Simple determination of Na2 scattering lengths using observed bound levels at the ground state asymptote

1999 ◽  
Vol 6 (2) ◽  
pp. 211-220 ◽  
Author(s):  
A. Crubellier ◽  
O. Dulieu ◽  
F. Masnou-Seeuws ◽  
M. Elbs ◽  
H. Knöckel ◽  
...  
Keyword(s):  
Ground State ◽  
Scattering Lengths

A determination of the molecular parameters for NiH in its 2Δ ground state by laser magnetic resonance

1991 ◽  
Vol 148 (2) ◽  
pp. 462-478 ◽  
Author(s):  
Thomas Nelis ◽  
Stuart P. Beaton ◽  
Kenneth M. Evenson ◽  
John M. Brown
Keyword(s):  
Magnetic Resonance ◽  
Ground State ◽  
Molecular Parameters ◽  
Laser Magnetic Resonance

scholarly journals Determination of car on-road black carbon and particle number emission factors and comparison between mobile and stationary measurements

2015 ◽  
Vol 8 (1) ◽  
pp. 43-55 ◽  
Author(s):  
I. Ježek ◽  
L. Drinovec ◽  
L. Ferrero ◽  
M. Carriero ◽  
G. Močnik
Keyword(s):  
Black Carbon ◽  
Particle Number ◽  
Emission Factors ◽  
Emission Measurement ◽  
Stationary Method ◽  
Characteristic Value ◽  
Portable Emission Measurement System ◽  
Specific Distribution ◽  
Mobile Measurement

Abstract. We have used two methods for measuring emission factors (EFs) in real driving conditions on five cars in a controlled environment: the stationary method, where the investigated vehicle drives by the stationary measurement platform and the composition of the plume is measured, and the chasing method, where a mobile measurement platform drives behind the investigated vehicle. We measured EFs of black carbon and particle number concentration. The stationary method was tested for repeatability at different speeds and on a slope. The chasing method was tested on a test track and compared to the portable emission measurement system. We further developed the data processing algorithm for both methods, trying to improve consistency, determine the plume duration, limit the background influence and facilitate automatic processing of measurements. The comparison of emission factors determined by the two methods showed good agreement. EFs of a single car measured with either method have a specific distribution with a characteristic value and a long tail of super emissions. Measuring EFs at different speeds or slopes did not significantly influence the EFs of different cars; hence, we propose a new description of vehicle emissions that is not related to kinematic or engine parameters, and we rather describe the vehicle EF with a characteristic value and a super emission tail.

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