Astronomy and Computing
Latest Publications

TOTAL DOCUMENTS

432

(FIVE YEARS 120)

H-INDEX

23

(FIVE YEARS 3)

Published By Elsevier

2213-1337

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Galaxy morphology classification using neural ordinary differential equations

Astronomy and Computing ◽

10.1016/j.ascom.2021.100543 ◽

2022 ◽

pp. 100543

Author(s):

R. Gupta ◽

P.K. Srijith ◽

S. Desai

Keyword(s):

Differential Equations ◽

Ordinary Differential Equations ◽

Galaxy Morphology

Systematic biases when using deep neural networks for annotating large catalogs of astronomical images

Astronomy and Computing ◽

10.1016/j.ascom.2022.100545 ◽

2022 ◽

pp. 100545

Author(s):

S. Dhar ◽

L. Shamir

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Systematic Biases ◽

Astronomical Images

Classification algorithms applied to structure formation simulations

Astronomy and Computing ◽

10.1016/j.ascom.2021.100527 ◽

2021 ◽

pp. 100527

Author(s):

J. Chacón ◽

J.A. Vázquez ◽

E. Almaraz

Keyword(s):

Structure Formation ◽

Classification Algorithms

HILIGT, Upper Limit Servers II - Implementing the data servers

Astronomy and Computing ◽

10.1016/j.ascom.2021.100529 ◽

2021 ◽

pp. 100529

Author(s):

O. König ◽

R.D. Saxton ◽

P. Kretschmar ◽

L. Angelini ◽

G. Belanger ◽

...

Keyword(s):

Upper Limit

Easy asteroid phase curve fitting for the Python ecosystem: Pyedra

Astronomy and Computing ◽

10.1016/j.ascom.2021.100533 ◽

2021 ◽

pp. 100533

Author(s):

M.R. Colazo ◽

J.B. Cabral ◽

M. Chalela ◽

B.O. Sánchez

Keyword(s):

Curve Fitting ◽

Phase Curve

Exploring the interpretability of deep neural networks used for gravitational lens finding with a sensitivity probe

Astronomy and Computing ◽

10.1016/j.ascom.2021.100535 ◽

2021 ◽

pp. 100535

Author(s):

C. Jacobs ◽

K. Glazebrook ◽

A.K. Qin ◽

T. Collett

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Gravitational Lens

An empirical evaluation on the applicability of the DALiuGE execution framework

Astronomy and Computing ◽

10.1016/j.ascom.2021.100541 ◽

2021 ◽

pp. 100541

Author(s):

Y. Mei ◽

S. Wei ◽

F. Wang ◽

C. Wu ◽

R. Tobar ◽

...

Keyword(s):

Empirical Evaluation

Data modelling approaches to astronomical data: Mapping large spectral line data cubes to dimensional data models

Astronomy and Computing ◽

10.1016/j.ascom.2021.100539 ◽

2021 ◽

pp. 100539

Author(s):

G. Duniam ◽

V.V. Kitaeff ◽

A. Wicenec

Keyword(s):

Spectral Line ◽

Data Models ◽

Data Mapping ◽

Data Modelling ◽

Astronomical Data ◽

Data Cubes ◽

Modelling Approaches

The Locus Algorithm: A novel technique for identifying optimised pointings for differential photometry

Astronomy and Computing ◽

10.1016/j.ascom.2021.100537 ◽

2021 ◽

pp. 100537

Author(s):

O. Creaner ◽

K. Nolan ◽

E. Hickey ◽

N. Smith

Keyword(s):

Novel Technique ◽

Differential Photometry

TULIPS: A Tool for Understanding the Lives, Interiors, and Physics of Stars

Astronomy and Computing ◽

10.1016/j.ascom.2021.100516 ◽

2021 ◽

pp. 100516

Author(s):

E. Laplace