Results 11 to 20 of about 526 (97)

Orbital parameters, masses and distance to Beta Centauri determined with the Sydney University Stellar Interferometer and high resolution spectroscopy [PDF]

, 2004
The bright southern binary star beta Centauri (HR 5267) has been observed with the Sydney University Stellar Interferometer (SUSI) and spectroscopically with the ESO CAT and Swiss Euler telescopes at La Silla.
A. J. Booth, A. Mendez, Aerts, Aerts, Armstrong, Ausseloos, Babu, Balona, Breger, C. Aerts, Davis, Davis, Davis, E. B. Seneta, E. D. Thorvaldson, ESA, Hadrava, Hanbury Brown, Hanbury Brown, Harmanec, Hartkopf, Heintz, Herbison-Evans, Heynderickx, Hoffleit, J. Davis, J. W. O'Byrne, K. Uytterhoeven, Lomb, Léhmann-Filhés, M. Ausseloos, Miroshnichenko, Nelder, Pamyatnykh, Pourbaix, Robertson, Schmidt-Kaler, Shobbrook, Sterken, Struve, Struve, Thoul, Uytterhoeven, W. J. Tango   +43 more
core   +9 more sources

A Statistical Relation between Mass, Age, and Velocity Dispersion in the Solar Neighborhood

The Astrophysical Journal, 2023
The stellar kinematics of the Galactic disk are the main factors constraining disk formation and evolution processes in the Milky Way. In this paper, we investigate a statistical relation between stellar mass, age, and velocity dispersion for stars in ...
Hossein Fatheddin, Sedighe Sajadian
doaj   +1 more source

The Accelerations of Stars Orbiting the Milky Way's Central Black Hole [PDF]

, 2000
Recent measurements, of the velocities of stars near the center of the Milky Way have provided the strongest evidence for the presence of a supermassive black hole in a galaxy, but the observational uncertainties poorly constrain many of the properties ...
A Eckart, A. M. Ghez, A. Tanner, AM Ghez, D Tsiklauri, DC Backer, E Maoz, E. E. Becklin, GJ Babu, K Matthews, K Matthews, KM Menten, KY Lo, M Morris, M. Morris, MJ Reid, MJ Reid, P Gondolo, P Salati, R Genzel, RH Sanders, S Salim, T. Kremenek   +22 more
core   +3 more sources

Systematic search for gamma-ray periodicity in active galactic nuclei detected by the Fermi Large Area Telescope [PDF]

, 2020
We use nine years of gamma-ray data provided by the Fermi Large Area Telescope (LAT) to systematically study the light curves of more than two thousand active galactic nuclei (AGN) included in recent Fermi-LAT catalogs. Ten different techniques are used,
Ajello, M., Barrio, J. A., Buson, S., Cavazzuti, E., Cutini, S., Domínguez, A., Franckowiak, A., Nemmen, R., Otero-Santos, J., Peñil, P., Rani, B.   +10 more
core   +3 more sources

TD-CARMA: Painless, Accurate, and Scalable Estimates of Gravitational Lens Time Delays with Flexible CARMA Processes

The Astrophysical Journal, 2023
Cosmological parameters encoding our understanding of the expansion history of the universe can be constrained by the accurate estimation of time delays arising in gravitationally lensed systems.
Antoine D. Meyer, David A. van Dyk, Hyungsuk Tak, Aneta Siemiginowska   +3 more
doaj   +1 more source

The Overlooked Potential of Generalized Linear Models in Astronomy - I: Binomial Regression [PDF]

, 2015
Revealing hidden patterns in astronomical data is often the path to fundamental scientific breakthroughs; meanwhile the complexity of scientific inquiry increases as more subtle relationships are sought.
Biffi, V., Cameron, E., Ciardi, B., de Souza, R. S., Hilbe, J., Killedar, M., Maio, U., Riggs, J. D., Vilalta, R.   +8 more
core   +2 more sources

Classification of Chandra X-Ray Sources in Cygnus OB2

The Astrophysical Journal Supplement Series, 2023
We have devised a predominantly Naive Bayes−based method to classify X-ray sources detected by Chandra in the Cygnus OB2 association into members, foreground objects, and background objects.
Vinay L. Kashyap, Mario G. Guarcello, Nicholas J. Wright, Jeremy J. Drake, Ettore Flaccomio, Tom L. Aldcroft, Juan F. Albacete Colombo, Kevin Briggs, Francesco Damiani, Janet E. Drew, Eduardo L. Martin, Giusi Micela, Tim Naylor, Salvatore Sciortino   +13 more
doaj   +1 more source

Automatic Classification of Galaxy Morphology: A Rotationally-invariant Supervised Machine-learning Method Based on the Unsupervised Machine-learning Data Set

The Astronomical Journal, 2023
Classification of galaxy morphology is a challenging but meaningful task for the enormous amount of data produced by the next-generation telescope.
GuanWen Fang, Shuo Ba, Yizhou Gu, Zesen Lin, Yuejie Hou, Chenxin Qin, Chichun Zhou, Jun Xu, Yao Dai, Jie Song, Xu Kong   +10 more
doaj   +1 more source

Fast Algorithms and Efficient Statistics: N-point Correlation Functions [PDF]

, 2000
We present here a new algorithm for the fast computation of N-point correlation functions in large astronomical data sets. The algorithm is based on kdtrees which are decorated with cached sufficient statistics thus allowing for orders of magnitude speed-
Alex Gray, Alex Szalay, Andrew Moore, Andy Connolly, Andy Genovese, II, Istvan Szapudi, Jeff Schneider, Larry Grone, Larry Wasserman, Nick Kanidoris, Robert Nichol   +11 more
core   +4 more sources

The Classification of Galaxy Morphology in the H Band of the COSMOS-DASH Field: A Combination-based Machine-learning Clustering Model

The Astrophysical Journal Supplement Series, 2023
By applying our previously developed two-step scheme for galaxy morphology classification, we present a catalog of galaxy morphology for H -band-selected massive galaxies in the COSMOS-DASH field, which includes 17,292 galaxies with stellar mass M _ ...
Yao Dai, Jun Xu, Jie Song, Guanwen Fang, Chichun Zhou, Shuo Ba, Yizhou Gu, Zesen Lin, Xu Kong   +8 more
doaj   +1 more source