Derivation of temperature anisotropy from shock jump relations: Theory and observations

1995 ◽  
Vol 22 (17) ◽  
pp. 2409-2412 ◽  
Author(s):  
J. K. Chao ◽  
X. X. Zhang ◽  
P. Song
Keyword(s):  
Temperature Anisotropy ◽  
Shock Jump Relations ◽  
Shock Jump

Shock jump relations for multiphase mixtures with stiff mechanical relaxation

Shock Waves ◽  
2007 ◽  
Vol 16 (3) ◽  
pp. 209-232 ◽  
Author(s):  
R. Saurel ◽  
O. Le Métayer ◽  
J. Massoni ◽  
S. Gavrilyuk
Keyword(s):  
Mechanical Relaxation ◽  
Shock Jump Relations ◽  
Shock Jump

Shock‐jump relations in a turbulent flow

1992 ◽  
Vol 4 (12) ◽  
pp. 2900-2905 ◽  
Author(s):  
Sanjiva K. Lele
Keyword(s):  
Turbulent Flow ◽  
Shock Jump Relations ◽  
Shock Jump

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 Temperature anisotropy relaxation of the one-component plasma

2017 ◽  
Vol 57 (6-7) ◽  
pp. 238-251 ◽  
Author(s):  
Scott D. Baalrud ◽  
Jérôme Daligault
Keyword(s):  
Temperature Anisotropy ◽  
Component Plasma ◽  
The One

Limits on Hot Intracluster Gas Contributions to the Tenerife Temperature Anisotropy Map

2000 ◽  
Vol 538 (1) ◽  
pp. 53-56 ◽  
Author(s):  
J. A. Rubino‐Martin ◽  
F. Atrio‐Barandela ◽  
C. Hernandez‐Monteagudo
Keyword(s):  
Temperature Anisotropy ◽  
Intracluster Gas
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