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

Creative Commons Atribución No comercial No obras derivadas Compartir igual

https://creativecommons.org/licenses/by/4.0/

Cobertura temática

Tabla de contenidos

Rovibrationally Resolved Photodissociation of AlH via Excited Electronic States

Zhi QinORCID; Tianrui Bai; Linhua LiuORCID

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. GrunblattORCID; Joel C. ZinnORCID; Adrian M. Price-WhelanORCID; Ruth AngusORCID; Nicholas SaundersORCID; Marc HonORCID; Amalie StokholmORCID; Earl P. BellingerORCID; Sarah L. MartellORCID; Benoit MosserORCID; Emily CunninghamORCID; Jamie TayarORCID; Daniel HuberORCID; Jakob Lysgaard RørstedORCID; Victor Silva AguirreORCID

Palabras clave: Space and Planetary Science; Astronomy and Astrophysics.

Pp. 88

Spiral Structure Boosts Star Formation in Disk Galaxies

Si-Yue YuORCID; Luis C. HoORCID; Jing WangORCID

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. RastinejadORCID; W. FongORCID; C. D. KilpatrickORCID; K. PatersonORCID; N. R. TanvirORCID; A. J. LevanORCID; B. D. MetzgerORCID; E. BergerORCID; R. ChornockORCID; B. E. CobbORCID; T. LaskarORCID; P. MilneORCID; A. E. NugentORCID; N. SmithORCID

Palabras clave: Space and Planetary Science; Astronomy and Astrophysics.

Pp. 89

The Diversity of Environments around Luminous Quasars at Redshift z ∼ 6

Keven RenORCID; Michele TrentiORCID; Madeline A. MarshallORCID; Tiziana Di MatteoORCID; 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. BalokovićORCID; S. E. Cabral; L. BrennemanORCID; C. M. UrryORCID

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 YonedaORCID; Dmitry KhangulyanORCID; Teruaki EnotoORCID; Kazuo Makishima; Kairi Mine; Tsunefumi MizunoORCID; 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 BaronORCID; Brice MénardORCID

<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 HajraORCID

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. WangORCID; 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