Results 71 to 80 of about 126,286 (222)

The Clustering of AGN in the Sloan Digital Sky Survey [PDF]

open access: yes, 2004
We present the two--point correlation function (2PCF) of narrow-line active galactic nuclei (AGN) selected within the First Data Release of the Sloan Digital Sky Survey.
Di Matteo, Tiziana   +8 more
core   +2 more sources

Development of Isothermal Amplification Assays for the Identification of Spodoptera eridania and Spodoptera ornithogalli (Lepidoptera: Noctuidae) Using Mitochondrial Gene Sequences

open access: yesEntomological Research, Volume 56, Issue 4, April 2026.
ABSTRACT Although the southern armyworm (SAW), Spodoptera eridania, and the yellow‐striped armyworm (YSAW), Spodoptera ornithogalli, have not yet been introduced to Korea, they are listed as regulated quarantine pests in Korea because of their potential to cause serious economic losses in diverse agricultural crops upon introduction.
Seung Hyun Lee   +4 more
wiley   +1 more source

Galaxy evolution in the post-merger regime. III -- The triggering of active galactic nuclei peaks immediately after coalescence

open access: yesThe Open Journal of Astrophysics
Galaxy mergers have been shown to trigger AGN in the nearby universe, but the timescale over which this process happens remains unconstrained. The Multi-Model Merger Identifier (MUMMI) machine vision pipeline has been demonstrated to provide reliable ...
Sara Ellison   +8 more
doaj   +1 more source

AGN environments at z<1.5 in the UKIDSS Ultra-Deep Survey

open access: yes, 2011
We investigate the environments of both X-ray and radio-loud AGN within the UKIDSS Ultra-deep Survey (UDS) using deep infrared selection to sample the galaxy density field in the redshift range 1.0
Almaini, O.   +8 more
core   +1 more source

Mapping AGN winds: A connection between radio-mode AGNs and the AGN feedback cycle

open access: yesAstronomy & Astrophysics
We present a kinematic analysis based on the large integral field spectroscopy (IFS) dataset of SDSS-IV MaNGA (Sloan Digital Sky Survey/Mapping Nearby Galaxies at Apache Point Observatory; ∼10 000 galaxies). We have compiled a diverse sample of 594 unique active galactic nuclei (AGNs), identified through a variety of independent selection techniques ...
M. Albán   +4 more
openaire   +2 more sources

Fuelling Starbursts and AGN [PDF]

open access: yes, 2004
There is considerable evidence that the circumnuclear regions of galaxies are intimately related to their host galaxies, most directly through their bars. There is also convincing evidence for relations between the properties of supermassive black holes in the nuclei of galaxies and those of their host galaxy.
openaire   +2 more sources

AGN host galaxies [PDF]

open access: yesNew Astronomy Reviews, 2008
A series of four lectures presented at the 2007 summer school on "Active Galactic Nuclei at the highest angular resolution: theory and observations" held in Torun, Poland.
openaire   +2 more sources

Mexicans in Exile: Patterns of Exile and the Surveillance of Mexican Returnees During the 1970s and 1980s

open access: yesBulletin of Latin American Research, Volume 45, Issue 2, April 2026.
ABSTRACT En esta investigación se propone explicar cómo fue el exilio de los mexicanos en los sexenios de Luis Echeverría Álvarez (1970–1976) y José López Portillo (1976–1982), cómo fueron los intentos de retornos y qué tensiones generaron. Se plantea que el exilio fue una experiencia de desactivación política favorable para el gobierno que dispuso de ...
Soledad Lastra
wiley   +1 more source

Morphologies of Radio, X-Ray, and Mid-Infrared Selected AGN

open access: yes, 2010
We investigate the optical morphologies of candidate active galaxies identified at radio, X-ray, and mid-infrared wavelengths. We use the Advanced Camera for Surveys General Catalog (ACS-GC) to identify 372, 1360, and 1238 AGN host galaxies from the VLA,
Alonso-Herrero   +46 more
core   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

open access: yesJournal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen   +4 more
wiley   +1 more source

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