scholarly journals The SDSS-DR12 large-scale cross-correlation of damped Lyman alpha systems with the Lyman alpha forest

2017 ◽  
Vol 473 (3) ◽  
pp. 3019-3038 ◽  
Author(s):  
Ignasi Pérez-Ràfols ◽  
Andreu Font-Ribera ◽  
Jordi Miralda-Escudé ◽  
Michael Blomqvist ◽  
Simeon Bird ◽  
...  
Keyword(s):  
Large Scale ◽  
Cross Correlation ◽  
Lyman Alpha ◽  
Lyman Alpha Forest ◽  
Damped Lyman Alpha Systems

scholarly journals The large-scale cross-correlation of Damped Lyman alpha systems with the Lyman alpha forest: first measurements from BOSS

2012 ◽  
Vol 2012 (11) ◽  
pp. 059-059 ◽  
Author(s):  
Andreu Font-Ribera ◽  
Jordi Miralda-Escudé ◽  
Eduard Arnau ◽  
Bill Carithers ◽  
Khee-Gan Lee ◽  
...  
Keyword(s):  
Large Scale ◽  
Cross Correlation ◽  
Lyman Alpha ◽  
Lyman Alpha Forest ◽  
Damped Lyman Alpha Systems

The Lyman-Alpha Forest as an Indicator of Large-Scale Structure Elements

2020 ◽  
Vol 46 (6) ◽  
pp. 359-369
Author(s):  
M. I. Demiański ◽  
A. G. Doroshkevich ◽  
T. I. Larchenkova
Keyword(s):  
Large Scale ◽  
Large Scale Structure ◽  
Scale Structure ◽  
Lyman Alpha ◽  
Lyman Alpha Forest

scholarly journals The lyman alpha forest in hierarchical cosmologies

1999 ◽  
Author(s):  
M. Machacek ◽  
G. L. Bryan ◽  
P. Anninos ◽  
A. Meiksin ◽  
M. L. Norman ◽  
...  
Keyword(s):  
Lyman Alpha ◽  
Lyman Alpha Forest

MULTIFRACTAL DETRENDED CROSS-CORRELATION ANALYSIS FOR LARGE-SCALE WAREHOUSE-OUT BEHAVIORS

Fractals ◽  
2015 ◽  
Vol 23 (04) ◽  
pp. 1550044 ◽  
Author(s):  
CAN-ZHONG YAO ◽  
JI-NAN LIN ◽  
XU-ZHOU ZHENG
Keyword(s):  
Correlation Analysis ◽  
Large Scale ◽  
Cross Correlation ◽  
Correlation Property ◽  
Long Term Memory ◽  
Correlation Relationship ◽  
Term Memory ◽  
Wire Rod ◽  
Cross Correlation Analysis

Based on cross-correlation algorithm, we analyze the correlation property of warehouse-out quantity of different warehouses, respectively, and different products of each warehouse. Our study identifies that significant cross-correlation relationship for warehouse-out quantity exists among different warehouses and different products of a warehouse. Further, we take multifractal detrended cross-correlation analysis for warehouse-out quantity among different warehouses and different products of a warehouse. The results show that for the warehouse-out behaviors of total amount, different warehouses and different products of a warehouse significantly follow multifractal property. Specifically for each warehouse, the coupling relationships of rebar and wire rod reveal long-term memory characteristics, no matter for large fluctuation or small one. The cross-correlation effect on long-range memory property among warehouses probably has less to do with product types,and the long-term memory of YZ warehouse is greater than others especially in total amount and wire rod product. Finally, we shuffle and surrogate data to explore the source of multifractal cross-correlation property in logistics system. Taking the total amount of warehouse-out quantity as example, we confirm that the fat-tail distribution of warehouse-out quantity sequences is the main factor for multifractal cross-correlation. Through comparing the performance of the multifractal detrended cross-correlation analysis (MF-DCCA), centered multifractal detrending moving average cross-correlation analysis (MF-X-DMA) algorithms, the forward and backward MF-X-DMA algorithms, we find that the forward and backward MF-X-DMA algorithms exhibit a better performance than the other ones.

Large-scale motion in the intermittent region of a turbulent boundary layer

1970 ◽  
Vol 41 (2) ◽  
pp. 283-325 ◽  
Author(s):  
Leslie S. G. Kovasznay ◽  
Valdis Kibens ◽  
Ron F. Blackwelder
Keyword(s):  
Boundary Layer ◽  
Turbulent Boundary Layer ◽  
Large Scale ◽  
Cross Correlation ◽  
Turbulent Regime ◽  
Conditional Sampling ◽  
Correlation Data ◽  
Measuring Techniques ◽  
Conditional Averaging ◽  
Scale Motion

The outer intermittent region of a fully developed turbulent boundary layer with zero pressure gradient was extensively explored in the hope of shedding some light on the shape and motion of the interface separating the turbulent and non-turbulent regions as well as on the nature of the related large-scale eddies within the turbulent regime. Novel measuring techniques were devised, such as conditional sampling and conditional averaging, and others were turned to new uses, such as reorganizing in map form the space-time auto- and cross-correlation data involving both the U and V velocity components as well as I, the intermittency function. On the basis of the new experimental results, a conceptual model for the development of the interface and for the entrainment of new fluid is proposed.

Near-Infrared Integral Field Spectroscopy of Damped Lyman- $\alpha$ Systems

2006 ◽  
pp. 330-333
Author(s):  
Andrew Bunker ◽  
Annette Ferguson ◽  
Rachel Johnson ◽  
Richard McMahon ◽  
Ian Parry ◽  
...  
Keyword(s):  
Near Infrared ◽  
Lyman Alpha ◽  
Integral Field Spectroscopy ◽  
Field Spectroscopy ◽  
Damped Lyman Alpha Systems ◽  
Integral Field
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