scholarly journals Deposition of AlMgB14 films by sputtering in a non-self-sustained high-frequency discharge

2021 ◽  
Vol 1954 (1) ◽  
pp. 012042
Author(s):  
V V Shugurov ◽  
Yu H Akhmadeev ◽  
I A Zhukov ◽  
P Yu Nikitin
Keyword(s):  
High Frequency ◽  
High Frequency Discharge

High-Frequency Discharge as an Ion Source

Nature ◽  
1946 ◽  
Vol 158 (4002) ◽  
pp. 61-61 ◽  
Author(s):  
P. C. THONEMANN
Keyword(s):  
High Frequency ◽  
Ion Source ◽  
High Frequency Discharge

Rotational Analysis of the lΠ–XlΣ+ System of C80Se

1974 ◽  
Vol 52 (9) ◽  
pp. 813-820 ◽  
Author(s):  
René Stringat ◽  
Jean-Paul Bacci ◽  
Marie-Hélène Pischedda
Keyword(s):  
Emission Spectrum ◽  
Ground State ◽  
High Frequency ◽  
Rotational Analysis ◽  
Molecular Constants ◽  
High Frequency Discharge ◽  
Perturbed State ◽  
Simple Evaluation ◽  
Π State

The strongly perturbed 1Π–X1Σ+ system of C80Se has been observed in the emission spectrum of a high frequency discharge through selenium and carbon traces in a neon atmosphere. The analysis of five bands yields, for the molecular constants of the ground state, the values Be″ = 0.5750 cm−1, [Formula: see text], αe″ = 0.00379 cm−1, re″ = 1.676 Å, ΔG″(1/2) = 1025.64 cm−1, and ΔG″(3/2) = 1015.92 cm−1. The numerous perturbations in the 1Π state prohibit the simple evaluation of the constants of the perturbed state and of the perturbing ones.

scholarly journals Assessment of catchment response and calibration of a hydrological model using high-frequency discharge–nitrate concentration data

2013 ◽  
Vol 44 (6) ◽  
pp. 995-1012 ◽  
Author(s):  
Rajesh R. Shrestha ◽  
Karsten Osenbrück ◽  
Michael Rode
Keyword(s):  
Surface Runoff ◽  
High Frequency ◽  
Hydrological Model ◽  
Nitrate Concentration ◽  
Subsurface Flow ◽  
Nitrate Transport ◽  
Response Analysis ◽  
Catchment Scale ◽  
Concentration Data ◽  
High Frequency Discharge

This study uses a high-frequency discharge and nitrate concentration dataset from the Weida catchment in Germany for the catchment scale hydrologic response analysis. Nitrate transport in the catchment is mostly conservative as indicated by the nitrate stable isotope (δ15N and δ18O) analysis. Discharge–nitrate concentration data from the catchment show distinctive patterns, suggesting flushing and dilution response. A self-organizing feature map-based methodology was employed to identify such patterns or cluster in the datasets. Based on knowledge of the catchment conditions and prevailing understanding of discharge–nitrate concentration relationship, the clusters were characterized into five qualitative flow responses: (1) baseflow; (2) subsurface flow increase; (3) surface runoff increase; (4) surface runoff recession; and (5) subsurface flow decrease. Such qualitative flowpaths were used as soft data for a multi-objective calibration of a hydrological model (WaSiM-ETH). The calibration led to a reasonable simulation of overall discharge (Nash–Sutcliffe coefficient: 0.84) and qualitative flowpaths (76% agreement). A prerequisite for using such methodology is limited biogeochemical transformation of nitrate (such as denitrification).

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