scholarly journals Measuring the temperature and profiles of Ly α absorbers

2019 ◽  
Vol 492 (2) ◽  
pp. 2193-2207 ◽  
Author(s):  
Antonella Garzilli ◽  
Tom Theuns ◽  
Joop Schaye

ABSTRACT The distribution of the absorption line broadening observed in the Ly α forest carries information about the temperature, T, and widths, λF, of the filaments in the intergalactic medium (IGM), and the background hydrogen photoionization rate, $\Gamma _{\rm H\, \small {I}}$. In this work, we present and test a new method for inferring T and λF and $\Gamma _{\rm H\, \small {I}}$ from combining the distribution of the absorption line broadening and the median flux. The method accounts for any underlying degeneracies. We apply our method to mock spectra from the reference model of the EAGLE cosmological simulation, and we demonstrate that we are able to reconstruct the IGM properties.

1975 ◽  
Vol 30 (4) ◽  
pp. 445-450 ◽  
Author(s):  
D. Gebhard ◽  
W. Behmenburg

Abstract A new method for the determination of f-values of resonance transitions from wing-measurements of selfbroadened resonance absorption lines is described. The method is applied to the mercury resonance transition 61 S0→61P1, λ 1850 Å. The resulting f-value of 1.08±0.05 agrees well with those obtained from other methods.


1962 ◽  
Vol 1 (3) ◽  
pp. 359 ◽  
Author(s):  
Darrell E. Burch ◽  
Edgar B. Singleton ◽  
Dudley Williams

2004 ◽  
Vol 56 (5) ◽  
pp. L29-L34 ◽  
Author(s):  
Ryuichi Fujimoto ◽  
Yoh Takei ◽  
Takayuki Tamura ◽  
Kazuhisa Mitsuda ◽  
Noriko Y. Yamasaki ◽  
...  

1989 ◽  
Vol 107 ◽  
pp. 235-243
Author(s):  
R. E. Wilson

AbstractProgress in determining rotation rates of Algol primary stars from light curves is assessed. Included are elementary ideas on why the new method works, how to carry out solutions, and how and when to apply the constraint on rotational lobe filling. Some comments are made on desirable improvements for measuring rotation from line broadening. A few remarks are made about the problem of identifying likely fast rotating Algols.


Author(s):  
FEI NI ◽  
ZHUANG FU ◽  
QIXIN CAO ◽  
YANZHENG ZHAO

Some facial features that differ from an ordinary face should be identified by a computer when generating a facial caricature. These distinctive facial features are called self-features. Compared with traditional Mean Face Model (MFM) that is unable to quantify these self-features well, a Self-Reference Model (SRM) is presented in this paper. Firstly, based on the physiology structure of a front face, a self-reference is found, and this reference is used to measure the self-features. According to the self-reference, some standard facial parameters are worked out by collecting statistic data of many facial images. Then, in an input face image, by evaluating some differences between the input face and the standard facial parameters, the self-features are properly estimated and quantified. Finally, by analyzing some caricatures produced by caricaturists, the SRM can prove the validity of the proposed Algorithm.


2013 ◽  
Vol 769 (2) ◽  
pp. 90 ◽  
Author(s):  
F. Nicastro ◽  
M. Elvis ◽  
Y. Krongold ◽  
S. Mathur ◽  
A. Gupta ◽  
...  

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