Results 71 to 80 of about 386,404 (293)

Half a Million Binary Stars Identified from the Low-resolution Spectra of LAMOST

open access: yesThe Astrophysical Journal Supplement Series
Binary stars are prevalent yet challenging to detect. We present a novel approach using convolutional neural networks (CNNs) to identify binary stars from low-resolution spectra obtained by the LAMOST survey.
Yingjie Jing   +4 more
doaj   +1 more source

The BINSYN Program Package [PDF]

open access: yesJournal of Astronomy and Space Sciences, 2012
The BINSYN program package, recently expanded to calculate synthetic spectra of cataclysmic variables, is being further extended to include synthetic photometry of ordinary binary stars in addition to binary stars with optically thick accretion disks ...
Albert P. Linnell
doaj   +1 more source

Application of Binary Evolution in Astrophysical Studies [PDF]

open access: yes2011,ASPC,451,51, 2013
Binary stars evolve differently from single stars, thus binary evolution is very useful for astrophysical studies. This paper discusses the application of binary evolution in the studies of stars, star clusters, galaxies, and cosmology. In particular, I concentrate on the use of binary evolution in colour-magnitude diagram and spectral energy ...
arxiv  

Microglial reprogramming: a potential new frontier in enhancing immunotherapy for melanoma brain metastasis

open access: yesMolecular Oncology, EarlyView.
Microglia act as tumor suppressors during brain metastasis colonization but shift to a tumor‐promoting role after melanoma brain metastases form. NF‐κB/RelA signaling emerges as a key driver of this phenotypic shift. Targeting this pathway reprograms microglia into a pro‐inflammatory state, enhancing antitumor immunity and immune checkpoint inhibitor ...
Noam Savion‐Gaiger   +2 more
wiley   +1 more source

Dynamics of Four Triple Systems

open access: yesThe Astronomical Journal, 2023
Orbital motions in four hierarchical stellar systems discovered by speckle interferometry are studied. Their inner orbits are relatively well constrained, while the long outer orbits are less certain.
Andrei Tokovinin
doaj   +1 more source

Evolution of the binary population in young dense star clusters

open access: yes, 2011
Context: Field stars are not always single stars, but can often be found in bound double systems. Since binary frequencies in the birth places of stars, young embedded clusters, are sometimes even higher than on average the question arises of how binary ...
Aarseth   +48 more
core   +1 more source

On the formation of Be stars through binary interaction [PDF]

open access: yes, 2014
Be stars are rapidly rotating B type stars. The origin of their rapid rotation is not certain, but binary interaction remains to be a possibility. In this work we investigate the formation of Be stars resulting from mass transfer in binaries in the Galaxy.
arxiv   +1 more source

Tracing the Origins of Mass Segregation in M35: Evidence for Primordially Segregated Binaries

open access: yesThe Astrophysical Journal Letters
M35 is a young open cluster and home to an extensive binary population. Using Gaia Data Release 3, Pan-STARRS, and Two Micron All Sky Survey photometry with the Bayesian statistical software, BASE-9, we derive precise cluster parameters, identify single ...
Erin Motherway   +4 more
doaj   +1 more source

The Effects of Binary Stars on the Color-Magnitude Diagrams of Young-Age Massive Star Clusters [PDF]

open access: yes, 2018
Extended main-sequence turnoffs (eMSTO) have been observed in the color-magnitude diagram (CMD) of intermediate-age and young star clusters. The origin of the eMSTO phenomenon is still highly debated. Calculations show that the blue and faint (BF) stars in the CMD of NGC 1866 are hydrogen main sequence (MS) + naked He star systems.
arxiv   +1 more source

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang   +5 more
wiley   +1 more source

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