Two-Dimensional Silicon Vidicon Astronomical Photometer
نویسندگان
چکیده
منابع مشابه
Two-dimensional silicon vidicon astronomical photometer.
We have developed and successfully used an integrating two-dimensional silicon diode array vidicon photometer which is exceptionally well suited for use with telescopes. The video signal is read out from the 1-cm silicon target of the vidicon through a current mode preamplifier and then converted to digital form and stored on magnetic tape. The 256 x 256 element frames are recorded at 20,000 ei...
متن کاملTwo-dimensional apodized silicon photonic phased arrays.
In this Letter, we demonstrate an 8×8 apodized silicon photonic phased array where the emission from each of 64 nanoantennas was tailored to exhibit Gaussian-shaped intensity distributions in the near field so that the sidelobes of the generated far-field optical beam were suppressed compared to that of a uniform phased array. With the aid of the 72 thermo-optic phase tuners directly integrated...
متن کاملA comparison of the accuracy and dimensional stability between two silicon impression materials (Speedex and Irasil)
A comparison of the accuracy and dimensional stability between two silicon impression materials (Speedex and Irasil) Dr. M. Sabouhi* - Dr. M. Dakhilalian** - Dr. N. Nehchiri*** *- Assistant Professor of Fixed Prosthodontics Dept. - Faculty of Dentistry – Isfahan University of Medical Sciences. **- Member of Fixed Prosthodontics Dept. - Faculty of Dentistry – Isfahan University of Medical Scienc...
متن کاملSilicon-based two-dimensional photonic crystal waveguides
A review of the properties of silicon-based two-dimensional (2D) photonic crystals is given, essentially infinite 2D photonic crystals made from macroporous silicon and photonic crystal slabs based on silicon-on-insulator basis. We discuss the bulk photonic crystal properties with particular attention to the light cone and its impact on the band structure. The application for wave guiding is di...
متن کاملExploiting Low-Dimensional Structure in Astronomical Spectra
Dimension-reduction techniques can greatly improve statistical inference in astronomy. A standard approach is to use Principal Components Analysis (PCA). In this letter we apply a recently-developed technique, diffusion maps, to astronomical spectra, and develop a robust, eigenmode-based framework for regression and data parameterization. We show how our framework provides a computationally eff...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Optics
سال: 1972
ISSN: 0003-6935,1539-4522
DOI: 10.1364/ao.11.000522