Catálogo de publicaciones - revistas
Título de Acceso Abierto
The Astrophysical Journal (ApJ)
Resumen/Descripción – provisto por la editorial en inglés
The Astrophysical Journal is an open access journal devoted to recent developments, discoveries, and theories in astronomy and astrophysics. Publications in ApJ constitute significant new research that is directly relevant to astrophysical applications, whether based on observational results or on theoretical insights or modeling.Palabras clave – provistas por la editorial
astronomy; astrophysics
Disponibilidad
Institución detectada | Período | Navegá | Descargá | Solicitá |
---|---|---|---|---|
No detectada | desde jul. 1995 / hasta dic. 2023 | IOPScience |
Información
Tipo de recurso:
revistas
ISSN impreso
0004-637X
ISSN electrónico
1538-4357
Editor responsable
American Astronomical Society (AAS)
Idiomas de la publicación
- inglés
País de edición
Reino Unido
Información sobre licencias CC
Cobertura temática
Tabla de contenidos
Rovibrationally Resolved Photodissociation of AlH via Excited Electronic States
Zhi Qin
; Tianrui Bai; Linhua Liu
Palabras clave: Space and Planetary Science; Astronomy and Astrophysics.
Pp. 87
Age-dating Red Giant Stars Associated with Galactic Disk and Halo Substructures
Samuel K. Grunblatt
; Joel C. Zinn
; Adrian M. Price-Whelan
; Ruth Angus
; Nicholas Saunders
; Marc Hon
; Amalie Stokholm
; Earl P. Bellinger
; Sarah L. Martell
; Benoit Mosser
; Emily Cunningham
; Jamie Tayar
; Daniel Huber
; Jakob Lysgaard Rørsted
; Victor Silva Aguirre
Palabras clave: Space and Planetary Science; Astronomy and Astrophysics.
Pp. 88
Spiral Structure Boosts Star Formation in Disk Galaxies
Si-Yue Yu
; Luis C. Ho
; Jing Wang
Palabras clave: Space and Planetary Science; Astronomy and Astrophysics.
Pp. 88
Probing Kilonova Ejecta Properties Using a Catalog of Short Gamma-Ray Burst Observations
J. C. Rastinejad
; W. Fong
; C. D. Kilpatrick
; K. Paterson
; N. R. Tanvir
; A. J. Levan
; B. D. Metzger
; E. Berger
; R. Chornock
; B. E. Cobb
; T. Laskar
; P. Milne
; A. E. Nugent
; N. Smith
Palabras clave: Space and Planetary Science; Astronomy and Astrophysics.
Pp. 89
The Diversity of Environments around Luminous Quasars at Redshift z ∼ 6
Keven Ren
; Michele Trenti
; Madeline A. Marshall
; Tiziana Di Matteo
; Yueying Ni
Palabras clave: Space and Planetary Science; Astronomy and Astrophysics.
Pp. 89
Properties of the Obscuring Torus in NGC 1052 from Multiepoch Broadband X-Ray Spectroscopy
M. Baloković
; S. E. Cabral; L. Brenneman
; C. M. Urry
Palabras clave: Space and Planetary Science; Astronomy and Astrophysics.
Pp. 90
Broadband High-energy Emission of the Gamma-Ray Binary System LS 5039: Spectral and Temporal Features Using NuSTAR and Fermi Observations
Hiroki Yoneda
; Dmitry Khangulyan
; Teruaki Enoto
; Kazuo Makishima; Kairi Mine; Tsunefumi Mizuno
; Tadayuki Takahashi
Palabras clave: Space and Planetary Science; Astronomy and Astrophysics.
Pp. 90
Extracting the Main Trend in a Data Set: The Sequencer Algorithm
Dalya Baron
; Brice Ménard
<jats:title>Abstract</jats:title> <jats:p>Scientists aim to extract simplicity from observations of the complex world. An important component of this process is the exploration of data in search of trends. In practice, however, this tends to be more of an art than a science. Among all trends existing in the natural world, one-dimensional trends, often called sequences, are of particular interest, as they provide insights into simple phenomena. However, some are challenging to detect, as they may be expressed in complex manners. We present the Sequencer, an algorithm designed to generically identify the main trend in a data set. It does so by constructing graphs describing the similarities between pairs of observations, computed with a set of metrics and scales. Using the fact that continuous trends lead to more elongated graphs, the algorithm can identify which aspects of the data are relevant in establishing a global sequence. Such an approach can be used beyond the proposed algorithm and can optimize the parameters of any dimensionality reduction technique. We demonstrate the power of the Sequencer using real-world data from astronomy, geology, and images from the natural world. We show that, in a number of cases, it outperforms the popular t-Distributed Stochastic Neighbor Embedding and Uniform Manifold Approximation and Projection dimensionality reduction techniques. This approach to exploratory data analysis, which does not rely on training or tuning any parameter, has the potential to enable discoveries in a wide range of scientific domains. The source code is available on GitHub, and we provide an online interface at <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://sequencer.org" xlink:type="simple">http://sequencer.org</jats:ext-link>.</jats:p>
Palabras clave: Space and Planetary Science; Astronomy and Astrophysics.
Pp. 91
Variation of the Interplanetary Shocks in the Inner Heliosphere
Rajkumar Hajra
Palabras clave: Space and Planetary Science; Astronomy and Astrophysics.
Pp. 91
Detection of Flare-associated CME Candidates on Two M-dwarfs by GWAC and Fast, Time-resolved Spectroscopic Follow-ups
J. Wang
; L. P. Xin; H. L. Li; G. W. Li; S. S. Sun; C. Gao; X. H. Han; Z. G. Dai; E. W. Liang; X. Y. Wang; J. Y. Wei
Palabras clave: Space and Planetary Science; Astronomy and Astrophysics.
Pp. 92