nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications
|
Perraudin, N. |
|
2019 |
27 |
C |
p. 130-146 |
artikel |
2 |
Editorial Board
|
|
|
2019 |
27 |
C |
p. ii |
artikel |
3 |
Efficient source finding for radio interferometric images
|
Lucas, L. |
|
2019 |
27 |
C |
p. 96-110 |
artikel |
4 |
Exploiting dynamical perturbations for the end-of-life disposal of spacecraft in LEO
|
Schettino, G. |
|
2019 |
27 |
C |
p. 1-10 |
artikel |
5 |
Fast error-controlling MOID computation for confocal elliptic orbits
|
Baluev, R.V. |
|
2019 |
27 |
C |
p. 11-22 |
artikel |
6 |
Finding cosmic voids and filament loops using topological data analysis
|
Xu, X. |
|
2019 |
27 |
C |
p. 34-52 |
artikel |
7 |
Identifying transient and variable sources in radio images
|
Rowlinson, A. |
|
2019 |
27 |
C |
p. 111-129 |
artikel |
8 |
Multivariate analysis of cosmic void characteristics
|
Cousinou, M.C. |
|
2019 |
27 |
C |
p. 53-62 |
artikel |
9 |
Robbie: A batch processing work-flow for the detection of radio transients and variables
|
Hancock, P.J. |
|
2019 |
27 |
C |
p. 23-33 |
artikel |
10 |
The data processing pipeline for the Herschel 1 1 Herschel is an ESA space observatory with science instruments provided by European-led Principal Investigator consortia and with important participation from NASA. - HIFI instrument
|
Edwards, K. |
|
2019 |
27 |
C |
p. 156-170 |
artikel |
11 |
The galaxy cluster ‘Pypeline’ for X-ray temperature maps: ClusterPyXT
|
Alden, B. |
|
2019 |
27 |
C |
p. 147-155 |
artikel |
12 |
The PAU Survey: Operation and orchestration of multi-band survey data
|
Tonello, N. |
|
2019 |
27 |
C |
p. 171-188 |
artikel |
13 |
The TORUS radiation transfer code
|
Harries, T.J. |
|
2019 |
27 |
C |
p. 63-95 |
artikel |