Astronomia ex machina: a history, primer and outlook on neural networks in astronomy

MJ Smith, JE Geach - Royal Society Open Science, 2023 - royalsocietypublishing.org
In this review, we explore the historical development and future prospects of artificial
intelligence (AI) and deep learning in astronomy. We trace the evolution of connectionism in …

LAMOST spectral survey—An overview

G Zhao, YH Zhao, YQ Chu, YP **g… - Research in Astronomy …, 2012 - iopscience.iop.org
Abstract LAMOST (Large sky Area Multi-Object fiber Spectroscopic Telescope) is a Chinese
national scientific research facility operated by National Astronomical Observatories …

JWST UNCOVER: extremely red and compact object at z phot≃ 7.6 triply imaged by A2744

LJ Furtak, A Zitrin, A Plat, S Fujimoto… - The Astrophysical …, 2023 - iopscience.iop.org
Recent JWST/NIRCam imaging taken for the ultra-deep UNCOVER program reveals a very
red dropout object at z phot≃ 7.6, triply imaged by the galaxy cluster A2744 (zd= 0.308). All …

The target-selection pipeline for the dark energy spectroscopic instrument

AD Myers, J Moustakas, S Bailey… - The Astronomical …, 2023 - iopscience.iop.org
Abstract In 2021 May, the Dark Energy Spectroscopic Instrument (DESI) began a 5 yr survey
of approximately 50 million total extragalactic and Galactic targets. The primary DESI dark …

The fourteenth data release of the Sloan digital sky survey: First spectroscopic data from the extended baryon oscillation spectroscopic survey and from the second …

B Abolfathi, DS Aguado, G Aguilar… - The Astrophysical …, 2018 - iopscience.iop.org
It is now 16 years since the first data release from the Sloan Digital Sky Survey (SDSS; York
et al. 2000). This Early Data Release, or EDR, occurred in 2001 June (Stoughton et al …

Seventeen tidal disruption events from the first half of ZTF survey observations: entering a new era of population studies

S Van Velzen, S Gezari, E Hammerstein… - The Astrophysical …, 2021 - iopscience.iop.org
While tidal disruption events (TDEs) have long been heralded as laboratories for the study of
quiescent black holes, the small number of known TDEs and uncertainties in their emission …

The optical morphologies of galaxies in the IllustrisTNG simulation: a comparison to Pan-STARRS observations

V Rodriguez-Gomez, GF Snyder, JM Lotz… - Monthly Notices of …, 2019 - academic.oup.com
We have generated synthetic images of∼ 27 000 galaxies from the IllustrisTNG and the
original Illustris hydrodynamic cosmological simulations, designed to match Pan-STARRS …

Candidate tidal disruption event AT2019fdr coincident with a high-energy neutrino

S Reusch, R Stein, M Kowalski, S Van Velzen… - Physical review …, 2022 - APS
The origins of the high-energy cosmic neutrino flux remain largely unknown. Recently, one
high-energy neutrino was associated with a tidal disruption event (TDE). Here we present …

[КНИГА][B] Fundamentals of machine learning for predictive data analytics: algorithms, worked examples, and case studies

JD Kelleher, B Mac Namee, A D'arcy - 2020 - books.google.com
The second edition of a comprehensive introduction to machine learning approaches used
in predictive data analytics, covering both theory and practice. Machine learning is often …

Overview of the SDSS-IV MaNGA survey: map** nearby galaxies at Apache Point observatory

K Bundy, MA Bershady, DR Law, R Yan… - The Astrophysical …, 2014 - iopscience.iop.org
We present an overview of a new integral field spectroscopic survey called MaNGA
(Map** Nearby Galaxies at Apache Point Observatory), one of three core programs in the …