Results 111 to 120 of about 21,784 (251)

Dust from asymptotic giant branch stars: relevant factors and modelling uncertainties [PDF]

open access: yes, 2014
The dust formation process in the winds of Asymptotic Giant Branch stars is discussed, based on full evolutionary models of stars with mass in the range 1M⊙ 6M6 8M⊙, and metallicities 0.001 < Z < 0.008. Dust grains are assumed to form in an isotropically
P. Ventura   +8 more
semanticscholar   +1 more source

Revisiting Variable Stars Near Globular Clusters South of −29° Declination

open access: yesAstronomische Nachrichten, Volume 346, Issue 2, February 2025.
ABSTRACT We review an often‐cited but seldom‐accessed catalogue by Fourcade and Laborde (1966) of 785 variable stars near 47 southern Galactic globular clusters, and recover the locations of 85 stars that were not incorporated into subsequent variable star catalogues and hence have become “lost” to the literature.
Andrew C. Layden   +7 more
wiley   +1 more source

White Dwarf Stars in the Big Data Era

open access: yesAstronomische Nachrichten, Volume 346, Issue 1, January 2025.
ABSTRACT White dwarf stars are the most common endpoint of stellar evolution. Therefore, these old, numerous and compact objects provide valuable information on the late stages of stellar evolution, the physics of dense plasma and the structure and evolution of our Galaxy.
Maria Camisassa
wiley   +1 more source

HEAVY ELEMENTS IN GLOBULAR CLUSTERS: THE ROLE OF ASYMPTOTIC GIANT BRANCH STARS [PDF]

open access: yes, 2014
Recent observations of heavy elements in globular clusters reveal intriguing deviations from the standard paradigm of the early galactic nucleosynthesis.
O. Straniero, S. Cristallo, L. Piersanti
semanticscholar   +1 more source

First giant branch and asymptotic giant branch stars in nearby aggregates

open access: yesThe Astronomical Journal, 1991
The properties of the brightest red stars in several aggregates in the Galaxy are compared with theoretical models. 22 asymptotic giant branch (AGB) stars are identified, four of which are in the thermally pulsing AGB (TPAGB) phase and four of which are TPAGB carbon stars.
Icko Iben, Olin J. Eggen
openaire   +2 more sources

Large induced subgraphs of random graphs with given degree sequences

open access: yesRandom Structures &Algorithms, Volume 66, Issue 1, January 2025.
Abstract We study a random graph G$$ G $$ with given degree sequence d$$ \boldsymbol{d} $$, with the aim of characterising the degree sequence of the subgraph induced on a given set S$$ S $$ of vertices. For suitable d$$ \boldsymbol{d} $$ and S$$ S $$, we show that the degree sequence of the subgraph induced on S$$ S $$ is essentially concentrated ...
Angus Southwell, Nick Wormald
wiley   +1 more source

Mira Variables Based on Emission Lines in LAMOST DR9

open access: yesThe Astrophysical Journal
We present a sample of 335 Mira variables, extracted from DR9 of the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) survey. These variables are characterized by the Balmer emissions (H δ , H γ , H β , and H α ) and the metal emissions
Cai-Xia Qu   +3 more
doaj   +1 more source

Model Dust Envelopes for Asymptotic Giant Branch Stars. I. OH/IR Stars [PDF]

open access: yesJournal of Astronomy and Space Sciences, 1995
OH/IR stars are the most massive and youngest subclass in asymptotic giant branch stars which pass through sporadic superwind phases. We have modeled the dust envelopes around OH/IR stars with close attention to the evolution of the structure of the dust
Kyung-Won Suh
doaj  

Asymptotic giant branch stars in the Large Magellanic Cloud: evolution of dust in circumstellar envelopes [PDF]

open access: yes, 2014
We calculated theoretical evolutionary sequences of asymptotic giant branch (AGB) stars, including formation and evolution of dust grains in their circumstellar envelope.
F. Dell’Agli   +6 more
semanticscholar   +1 more source

Dynamic Random Intersection Graph: Dynamic Local Convergence and Giant Structure

open access: yesRandom Structures &Algorithms, Volume 66, Issue 1, January 2025.
ABSTRACT Random intersection graphs containing an underlying community structure are a popular choice for modeling real‐world networks. Given the group memberships, the classical random intersection graph is obtained by connecting individuals when they share at least one group.
Marta Milewska   +2 more
wiley   +1 more source

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