Towards Hardware-driven Design of Low-energy Algorithms for Data Analysis

2015 ◽  
Vol 43 (4) ◽  
pp. 15-20 ◽  
Author(s):  
Indre Zliobaite ◽  
Jaakko Hollmen ◽  
Lauri Koskinen ◽  
Jukka Teittinen
Keyword(s):  
Data Analysis ◽  
Low Energy

LOW ENERGY PION-NUCLEON SCATTERING

2005 ◽  
Vol 20 (08n09) ◽  
pp. 1639-1643
Author(s):  
◽  
ROMAN TACIK
Keyword(s):  
Data Analysis ◽  
Cross Sections ◽  
Low Energy ◽  
Interference Region ◽  
Incident Pion ◽  
Standard Configuration ◽  
Nuclear Interference ◽  
Pion Nucleon ◽  
The University ◽  
Coulomb Nuclear Interference

The CHAOS Collaboration at TRIUMF has measured differential cross sections for π±p elastic at incident pion kinetic energies of 19.9, 25.8, 32.0, 37.1, 43.3, 57.0, and 67.0 MeV. The data analysis at the five lowest energies has been completed at the University of Tübingen. In order to measure at forward angles, in the Coulomb-Nuclear Interference region, the CHAOS detector was modified from its standard configuration with a specially developed range telescope. μ±p scattering at forward angles was also measured simultaneously, and used for validation of acceptance simulations.

scholarly journals ELEMENTAL ANALYSIS OF AEROSOL SAMPLES USING PIXE TECHNIQUE

2021 ◽  
Vol 9 (5) ◽  
pp. 175-180
Author(s):  
Deepali Modi
Keyword(s):  
Trace Elements ◽  
Data Analysis ◽  
Proton Beam ◽  
Elemental Analysis ◽  
Hpge Detector ◽  
Low Energy ◽  
X Rays ◽  
X Ray ◽  
Minor Elements

In this work a complex study of the capabilities Particle Induced X-Ray emission(PIXE) technique for the determination of minor constituents of aerosol samples has been done.The PIXE experiments were carried out at Cyclotron at Department of Physics, Panjab University Chandigarh using ~2.7MeV proton beam. The X-rays were detected with the help of low energy HPGE detector. Total fifteen samples were collected from various locations in Chandigarh.The minor elements identified in the aerosol samples wereS,Cl,K,Ca,Ti,Cr,Mn,Fe,Ni,Zn,V,Br and Pb. The data analysis was done using GUPIX software to extract the quantity of the trace elements.

scholarly journals Synchrotron microcrystal native-SAD phasing at a low energy

IUCrJ ◽  
2019 ◽  
Vol 6 (4) ◽  
pp. 532-542 ◽  
Author(s):  
Gongrui Guo ◽  
Ping Zhu ◽  
Martin R. Fuchs ◽  
Wuxian Shi ◽  
Babak Andi ◽  
...  
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Diffraction Data ◽  
De Novo ◽  
Low Energy ◽  
Anomalous Scattering ◽  
Free Electron Lasers ◽  
X Ray ◽  
Structural Evaluation ◽  
Sad Phasing

De novo structural evaluation of native biomolecules from single-wavelength anomalous diffraction (SAD) is a challenge because of the weakness of the anomalous scattering. The anomalous scattering from relevant native elements – primarily sulfur in proteins and phosphorus in nucleic acids – increases as the X-ray energy decreases toward their K-edge transitions. Thus, measurements at a lowered X-ray energy are promising for making native SAD routine and robust. For microcrystals with sizes less than 10 µm, native-SAD phasing at synchrotron microdiffraction beamlines is even more challenging because of difficulties in sample manipulation, diffraction data collection and data analysis. Native-SAD analysis from microcrystals by using X-ray free-electron lasers has been demonstrated but has required use of thousands of thousands of microcrystals to achieve the necessary accuracy. Here it is shown that by exploitation of anomalous microdiffraction signals obtained at 5 keV, by the use of polyimide wellmounts, and by an iterative crystal and frame-rejection method, microcrystal native-SAD phasing is possible from as few as about 1 200 crystals. Our results show the utility of low-energy native-SAD phasing with microcrystals at synchrotron microdiffraction beamlines.

Transformer Oil Chromatographic Analysis of Data Anomalies Caused by Harmonics

2014 ◽  
Vol 543-547 ◽  
pp. 713-716
Author(s):  
Hua Zhang ◽  
Chaun Zong Zhao ◽  
Qing Hao Wang ◽  
Rui Guo Chen ◽  
Yong Wang ◽  
...  
Keyword(s):  
Data Analysis ◽  
Chromatographic Analysis ◽  
Load Condition ◽  
State Standards ◽  
Low Energy ◽  
Transformer Oil ◽  
Test Results ◽  
Chromatographic Data ◽  
Harmonic Currents ◽  
Harmonic Content

According to the 66kV transformer blackout phenomenon, the oil chromatogram data analysis, found that the transformer existed temperature (676 °C) and low energy discharge defect. Through measuring the harmonic content to and analyzing the load condition, test results show that the grid was injected harmonic currents by the substation non-linear loads, its 5 times,7 times, 11 times, 13 times harmonic were higher than the state standards, this shows that the harmonic is the cause of the chromatographic data of transformer oil abnormal

scholarly journals Deep Learning for Photonic Design and Analysis: Principles and Applications

2022 ◽  
Vol 8 ◽  
Author(s):  
Bing Duan ◽  
Bei Wu ◽  
Jin-hui Chen ◽  
Huanyang Chen ◽  
Da-Quan Yang
Keyword(s):  
Deep Learning ◽  
Data Analysis ◽  
Research Field ◽  
Structure Design ◽  
Low Energy ◽  
Optical Data ◽  
Photonic Structure ◽  
Optical Neural Networks ◽  
Energy Consuming ◽  
Innovative Techniques

Innovative techniques play important roles in photonic structure design and complex optical data analysis. As a branch of machine learning, deep learning can automatically reveal the inherent connections behind the data by using hierarchically structured layers, which has found broad applications in photonics. In this paper, we review the recent advances of deep learning for the photonic structure design and optical data analysis, which is based on the two major learning paradigms of supervised learning and unsupervised learning. In addition, the optical neural networks with high parallelism and low energy consuming are also highlighted as novel computing architectures. The challenges and perspectives of this flourishing research field are discussed.

Sign in / Sign up

Export Citation Format

Share Document