Generalized measurement configuration optimization for accurate reconstruction of periodic nanostructures using optical scatterometry

2016 ◽  
Author(s):  
Jinlong Zhu ◽  
Yating Shi ◽  
Shiyuan Liu ◽  
Lynford L. Goddard
Keyword(s):  
Configuration Optimization ◽  
Periodic Nanostructures ◽  
Generalized Measurement ◽  
Accurate Reconstruction

scholarly journals ARPES and STS investigation of Shockley states in thin metallic films and periodic nanostructures

2007 ◽  
Vol 9 (10) ◽  
pp. 391-391 ◽  
Author(s):  
D Malterre ◽  
B Kierren ◽  
Y Fagot-Revurat ◽  
S Pons ◽  
A Tejeda ◽  
...  
Keyword(s):  
Metallic Films ◽  
Periodic Nanostructures

scholarly journals An Accurate Reconstruction of CMB E Mode Signal over Large Angular Scales using Prior Information of CMB Covariance Matrix in ILC Algorithm

2020 ◽  
Author(s):  
Ujjal Purkayastha ◽  
Vipin Sudevan ◽  
Rajib Saha
Keyword(s):  
Power Spectrum ◽  
Linear Combination ◽  
Covariance Matrix ◽  
Large Scale ◽  
Prior Information ◽  
Future Generation ◽  
Temperature Anisotropy ◽  
Satellite Mission ◽  
Angular Power Spectrum ◽  
Accurate Reconstruction

Abstract Recently, the internal-linear-combination (ILC) method was investigated extensively in the context of reconstruction of Cosmic Microwave Background (CMB) temperature anisotropy signal using observations obtained by WMAP and Planck satellite missions. In this article, we, for the first time, apply the ILC method to reconstruct the large scale CMB E mode polarization signal, which could probe the ionization history, using simulated observations of 15 frequency CMB polarization maps of future generation Cosmic Origin Explorer (COrE) satellite mission. We find that the clean power spectra, from the usual ILC, are strongly biased due to non zero CMB-foregrounds chance correlations. In order to address the issues of bias and errors we extend and improve the usual ILC method for CMB E mode reconstruction by incorporating prior information of theoretical E mode angular power spectrum while estimating the weights for linear combination of input maps (Sudevan & Saha 2018b). Using the E mode covariance matrix effectively suppresses the CMB-foreground chance correlation power leading to an accurate reconstruction of cleaned CMB E mode map and its angular power spectrum. We compare the performance of the usual ILC and the new method over large angular scales and show that the later produces significantly statistically improved results than the former. The new E mode CMB angular power spectrum contains neither any significant negative bias at the low multipoles nor any positive foreground bias at relatively higher mutlipoles. The error estimates of the cleaned spectrum agree very well with the cosmic variance induced error.

scholarly journals A hybrid algorithm (BAPSO) for capacity configuration optimization in a distributed solar PV based microgrid

2021 ◽  
Author(s):  
Ahmad Almadhor ◽  
Hafiz Tayyab Rauf ◽  
Muhammad Attique Khan ◽  
Seifedine Kadry ◽  
Yunyoung Nam
Keyword(s):  
Hybrid Algorithm ◽  
Solar Pv ◽  
Configuration Optimization
Sign in / Sign up

Export Citation Format

Share Document