Radiation Effects on Aluminosilicate Optical Fibers: Spectral Investigations From the Ultraviolet to Near‐Infrared Domains

2018 ◽  
Vol 216 (3) ◽  
pp. 1800485 ◽  
Author(s):  
Antonino Alessi ◽  
Angela Guttilla ◽  
Sylvain Girard ◽  
Simonpietro Agnello ◽  
Marco Cannas ◽  
...  
2021 ◽  
Vol 11 (7) ◽  
pp. 2991
Author(s):  
Cosimo Campanella ◽  
Vincenzo De Michele ◽  
Adriana Morana ◽  
Gilles Mélin ◽  
Thierry Robin ◽  
...  

Signal transmission over optical fibers in the ultraviolet to near-infrared domains remains very challenging due to their high intrinsic losses. In radiation-rich environments, this is made even more difficult due to the radiation-induced attenuation (RIA) phenomenon. We investigated here how the number of hydroxyl groups (OH) present in multi-mode (MM) pure-silica core (PSC) optical fibers influences the RIA levels and kinetics. For this, we tested three different fiber samples: one “wet”, one “dry” and one with an intermediate “medium” OH content. The RIA of the three samples was measured in the 400–900 nm (~3 eV to ~1.4 eV) spectral range during and after an X-ray irradiation at a dose rate of 6 Gy(SiO2) s−1 up to a total accumulated dose of 300 kGy(SiO2). Furthermore, we evaluated the H2-pre-loading efficiency in the medium OH sample to permanently improve both its intrinsic losses and radiation response in the visible domain. Finally, the spectral decomposition of the various RIA responses allows us to better understand the basic mechanisms related to the point defects causing the excess of optical losses. Particularly, it reveals the relationship between the initial OH groups content and the generation of non-bridging oxygen hole centers (NBOHCs). Moreover, the presence of hydroxyl groups also affects the contribution from other intrinsic defects such as the self-trapped holes (STHs) to the RIA in this spectral domain.


1988 ◽  
Author(s):  
Peter B. Lyons ◽  
C A. Barnes ◽  
E J. Friebele ◽  
R Gilbert ◽  
R Greenwell ◽  
...  

1994 ◽  
Vol 2 (3) ◽  
pp. 187-197 ◽  
Author(s):  
A.K. Liao ◽  
W.M. Cross ◽  
R.M. Winter ◽  
J.J. Kellar

2009 ◽  
Vol 17 (2) ◽  
pp. 101-107 ◽  
Author(s):  
Josefina Nyström ◽  
Britta Lindholm-Sethson ◽  
Paul Geladi

Clinical studies may be carried out using non-invasively collected near infrared spectra of patient skin. Two problems encountered are: (1) data reduction to go from thousands of wavelengths to some clinically relevant estimator and (2) getting statistical significance from noisy data with sometimes very skewed distributions. The problem of data reduction can usually be solved by principal component analysis to get a few meaningful components. In the space spanned by these components, a direction of discrimination may have to be found, typically discrimination between treated and control. A visual difference in a score plot is often not enough; statistical significance has to be demonstrated. Once a univariate estimator is found, non-parametric testing can show significant differences, even if the data are noisy and have an unknown and skewed distribution. The NOPRAPOD method com bines the actions of finding a direction in a reduced data space and performing the non-parametric significance testing by producing a disk of significance. Two examples are included. Example one is from a study of diabetes-related neuropathy where it is shown that significant differences show up in the NIR spectra. Example two is from a study of post-operative radiation treatment of breast cancer patients, where it is shown that radiation effects (erythema) and the effect of lotion can be determined with an indication of significance from the NIR spectra.


2008 ◽  
Author(s):  
Sylvain Girard ◽  
Youcef Ouerdane ◽  
Claude Marcandella ◽  
Thierry Robin ◽  
Aziz Boukenter ◽  
...  

1998 ◽  
Author(s):  
Jan Troska ◽  
Jeremy Batten ◽  
Karl A. Gill ◽  
Francois Vasey

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