Astronomy and Astrophysics

Machine learning technique for morphological classification of galaxies from SDSS. II. The image-based morphological catalogs of galaxies at 0.02<z<0.1

1Vavilova IB, 2Khramtsov V, 1Dobrycheva DV, 1Vasylenko MYu., 1Elyiv AA, 1Melnyk OV. Machine learning technique for morphological classification of galaxies from SDSS. II. The image-based morphological catalogs of galaxies at 0.02. Space Science and Technology. 2022 ;28(1):03-22.

Astronomical observations and monitoring surveys of the Earth from the surface or from the Moon’s orbit and their ground support

1Vidmachenko AP, 2Kazantseva LV, 1Morozhenko OV, 3Choliy VYa., 1Nevodovsky PV. Astronomical observations and monitoring surveys of the Earth from the surface or from the Moon’s orbit and their ground support. Space Science and Technology. 2019 ;25(5):25-75.

On the possibility of detection of charged massive particles of dark matter from the board of artificial satellites by acoustic method

1Golubnichii PI, 1Kudlenko VO, 1Reshetnyak DV. On the possibility of detection of charged massive particles of dark matter from the board of artificial satellites by acoustic method. Kosm. nauka tehnol. 2003 ;9(Supplement1):068-071.

About the possibility of determining the speed of jets of radio galaxies and quasars from studies of the fine structure of their nodes at high angular resolution

1Bannikova EYu., 2Kontorovich VM. About the possibility of determining the speed of jets of radio galaxies and quasars from studies of the fine structure of their nodes at high angular resolution. Kosm. nauka tehnol. 2002 ;8(Supplement2):304-311.

Pages