Ultra-high sensitivity frequency-comb-referenced multi-parametric sensors based on 1-D photonic components

التفاصيل البيبلوغرافية
العنوان: Ultra-high sensitivity frequency-comb-referenced multi-parametric sensors based on 1-D photonic components
المؤلفون: Pietro Malara, P. De Natale, Pietro Ferraro, G. Gagliardi, Pasquale Maddaloni, M. Salza
المصدر: SPIE Proceedings.
بيانات النشر: SPIE, 2008.
سنة النشر: 2008
مصطلحات موضوعية: Materials science, business.industry, Lithium niobate, Nonlinear optics, Laser, law.invention, Frequency comb, Laser linewidth, chemistry.chemical_compound, Optics, chemistry, Fiber Bragg grating, law, Photonics, business, Diffraction grating
الوصف: A novel generation of sensors of strain, temperature, absolute and relative molecular concentration is reported. Such devices, based on 1-D photonic structures, rely on ultrastable laser sources, referenced to a fiber-based optical frequency comb synthesizer (OFCS). In particular, recent advances in the realization of two complementary laser sensors are presented. One is a spectroscopic facility which exploits frequency mixing in a periodically-poled LiNbO3 crystal to generate highly coherent (a few hundred kHz linewidth) infrared radiation tunable in the 2.9-3.5 micron wavelength range. Such radiation can be coupled to high-finesse enhancement cavities to detect trace amounts of gases, including rare isotopes in natural abundance. The other system, making use of fiber Bragg grating components, provides strain and temperature sensing with extremely high sensitivities (about 100 fe, i.e. 10-13 ΔL/L). Due to the remoteness guaranteed by the fiber coupling, these two systems can both be used in difficult environments and inserted in a multi-parametric network for real-time and continuous monitoring of large areas. Prospects for application in volcanic areas are also discussed.
تدمد: 0277-786X
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::9b80b2ff4562f08af96b1deccf9a7b26
https://doi.org/10.1117/12.795015
رقم الأكسشن: edsair.doi...........9b80b2ff4562f08af96b1deccf9a7b26
قاعدة البيانات: OpenAIRE