نتایج جستجو برای: star identification

تعداد نتایج: 483510  

2006
L. Bonora

We establish a translation dictionary between open and closed strings, starting from open string field theory. Under this correspondence, (off–shell) level–matched closed string states are represented by star algebra projectors in open string field theory. Particular attention is paid to the zero mode sector, which is indispensable in order to generate closed string states with momentum. As an ...

2008
Joon Hyeop Lee Myung Gyoon Lee Taehyun Kim Ho Seong Hwang

We present a study of the connection of star-forming galaxies, AGN host galaxies, and normal earlytype galaxies in the Sloan Digital Sky Survey (SDSS). Using the SDSS DR5 and DR4plus data, we select our early-type galaxy sample in the color vs. color-gradient space, and classify the spectral types of the selected early-type galaxies into normal, star-forming, Seyfert and LINER classes, using se...

Journal: :iranian journal of astronomy and astrophysic 0
mohsen bigdeli department of physics, university of zanjan, p.o. box 45195-313, zanjan, iran nariman roohi department of physics, university of zanjan, p.o. box 45195-313, zanjan, iran mina zamani department of physics, university of zanjan, p.o. box 45195-313, zanjan, iran

in the present work, we have obtained the equation of state for neutron star matter considering the in uence of the ferromagnetic and antiferromagnetic spin state. we have also investigated the structure of neutron stars. according to our results, the spin asymmetry sti ens the equation of state and leads to high mass for the neutron star.

Journal: :Monthly Notices of the Royal Astronomical Society 1996

Journal: :Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 2016

Journal: :Remote Sensing 2021

In the previous study, there were a few direct star identification (star-ID) algorithms for smearing image. An end-to-end star-ID algorithm is proposed in this article, to directly identify image from sensors with fast attitude maneuvering. Combined convolutional neural networks and self-attention mechanism of transformer encoder, can effectively classify star. Through feature extraction positi...

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