Kinematic analysis of solar-neighborhood stars based on RAVE4 data

被引:21
|
作者
Bobylev, V. V. [1 ]
Bajkova, A. T. [1 ]
机构
[1] Russian Acad Sci, Pulkovo Astron Observ, Pulkovskoe Sh 65, St Petersburg 196140, Russia
关键词
radial velocities; proper motions of stars; distances; stellar streams; Galactic kinematics; VELOCITY EXPERIMENT RAVE; GENEVA-COPENHAGEN SURVEY; LOCAL STANDARD; DISTANCE DETERMINATION; STELLAR KINEMATICS; MILKY-WAY; G-DWARF; EVOLUTION; DYNAMICS; CATALOG;
D O I
10.1134/S1063773716020018
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We consider stars with radial velocities, proper motions, and distance estimates from the RAVE4 catalogue. Based on a sample of more than 145 000 stars at distances r < 0.5 kpc, we have found the following kinematic parameters: = (9.12, 20.80, 7.66) +/- (0.10, 0.10, 0.08) km s(-1), Omega(0) = 28.71 +/- 0.63 km s(-1) kpc(-1), and Omega(0) (') = -4.28 +/- 0.11 km s(-1) kpc(-2). This gives the linear rotation velocity V (0) = 230 +/- 12 km s(-1) (for the adopted R (0) = 8.0 +/- 0.4 kpc) and the Oort constants A = 17.12 +/- 0.45 km s(-1) kpc(-1) and B = -11.60 +/- 0.77 km s(-1) kpc(-1). The 2D velocity distributions in the UV, UW, and VW planes have been constructed using a local sample, r < 0.25 kpc, consisting of similar to 47 000 stars. A difference of the UV velocity distribution from the previously known ones constructed from a smaller amount of data has been revealed. It lies in the fact that our distribution has an extremely enhanced branch near the Wolf 630 peak. A previously unknown peak at (U, V) = (-96, -10) km s(-1) and a separate new feature in the Wolf 630 stream, with the coordinates of its center being (U, V) = (30, -40) km s(-1), have been detected.
引用
收藏
页码:90 / 99
页数:10
相关论文
共 50 条
  • [41] EXERGY ANALYSIS OF THE AIR SOLAR COLLECTOR BASED ON EXPERIMENTAL DATA
    Luminosu, Ioan
    Fara, Laurentiu
    Pop, Nicolina
    Costache, Marius
    Fara, Silvian
    ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, 2012, 11 (08): : 1367 - 1374
  • [42] Probabilistic Analysis of Solar Photovoltaic Output Based on Historical Data
    Zulkifli, N. A.
    Razali, N. M. M.
    Marsadek, M.
    Ramasamy, A. K.
    2014 IEEE 8TH INTERNATIONAL POWER ENGINEERING AND OPTIMIZATION CONFERENCE (PEOCO), 2014, : 133 - 137
  • [43] Pseudorandom pattern generation by a 4-Neighborhood Cellular Automata based on a probabilistic analysis
    Seth, Abhishek
    Bandyopadhyay, S.
    Maulik, U.
    IMECS 2008: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, 2008, : 1908 - 1913
  • [44] Graphical-based multivariate analysis for knee joint clinical and kinematic data correlation assessment
    Bensalma, Fatima
    Richardson, Glen
    Ouakrim, Youssef
    Fuentes, Alexandre
    Dunbar, Michael
    Hagemeister, Nicola
    Mezghani, Neila
    42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, 2020, : 5362 - 5368
  • [45] Statistical properties of superflares on solar-type stars based on the Kepler 1-min cadence data
    Maehara, Hiroyuki
    Shibayama, Takuya
    Notsu, Yuta
    Notsu, Shota
    Honda, Satoshi
    Nogami, Daisaku
    Shibata, Kazunari
    SOLAR AND STELLAR FLARES AND THEIR EFFECTS ON PLANETS, 2016, 11 (S320): : 144 - 149
  • [46] Analysis of the B-stars in field of the solar neighborhood young open cluster IC 2391 using UVES spectra and Gaia DR3
    El-Depsey, M. H.
    Shokry, Ahmed
    Hendy, Y. H. M.
    Abdelbar, Ahmed M.
    Beheary, M. M.
    NEW ASTRONOMY, 2023, 100
  • [47] The Statistical Analysis of Exoplanet and Host Stars Based on Multi-Satellite Data Observations
    Tang, Yanke
    Li, Xiaolu
    Xiao, Kai
    Gai, Ning
    Li, Shijie
    Dong, Futong
    Wang, Yifan
    Gao, Yang
    UNIVERSE, 2024, 10 (04)
  • [48] The solar neighborhood.: XV.: Discovery of new high proper motion stars with μ ≥ 0".4 yr-1 between declinations -47° and 00°
    Subasavage, JP
    Henry, TJ
    Hambly, NC
    Brown, MA
    Jao, WC
    Finch, CT
    ASTRONOMICAL JOURNAL, 2005, 130 (04): : 1658 - 1679
  • [49] Variable Neighborhood Search Based Human Learning Optimization Algorithm for Secure Data Analysis and Computing
    Ahmed F.
    Kumar S.
    Singh P.K.
    SN Computer Science, 5 (5)
  • [50] Multi-dimensional Data Correlation Analysis Method Based on Neighborhood Preserving Embedding Mechanism
    Ge, Zhongdi
    Zhao, Longjun
    Wang, Zhen
    Cui, Dandan
    Yang, Yang
    Gao, Zhipeng
    2021 IEEE INTERNATIONAL SYMPOSIUM ON BROADBAND MULTIMEDIA SYSTEMS AND BROADCASTING (BMSB), 2021,