E-LIB Suche - Ergebnisse für: Humphrey, J

1

Euclid preparation: XXXVIII. Spectroscopy of active galacti..:

Euclid Collaboration ; Lusso, E. ; Fotopoulou, S....
Astronomy & Astrophysics. 685 (2024) - p. A108 , 2024

Link: https://doi.org/10.1051/..

2

Euclid: Identifying the reddest high-redshift galaxies in t..:

Signor, T. ; Rodighiero, G. ; Bisigello, L....
Astronomy & Astrophysics. 685 (2024) - p. A127 , 2024

Link: https://doi.org/10.1051/..

3

Identifying type II quasars at intermediate redshift with f..:

Cunha, P. A. C. ; Humphrey, A. ; Brinchmann, J....
Astronomy & Astrophysics. 687 (2024) - p. A269 , 2024

Link: https://doi.org/10.1051/..

4

Central Artery Hemodynamics in Angiotensin II-Induced Hyper..:

Hopper, S. E. ; Weiss, D. ; Mikush, N....
Annals of Biomedical Engineering. 52 (2024) 4 - p. 1051-1066 , 2024

Link: https://doi.org/10.1007/..

5

Selection of powerful radio galaxies with machine learning:

Carvajal, R. ; Matute, I. ; Afonso, J....
Astronomy & Astrophysics. 679 (2023) - p. A101 , 2023

Link: https://doi.org/10.1051/..

6

Euclid preparation: XXII. Selection of quiescent galaxies f..:

Euclid Collaboration ; Humphrey, A. ; Bisigello, L....
Astronomy & Astrophysics. 671 (2023) - p. A99 , 2023

Link: https://doi.org/10.1051/..

7

New computational approach to shunt design in congenital he..:

Ban, E. ; Humphrey, J.D.
Journal of Biomechanics. 152 (2023) - p. 111568 , 2023

Link: https://doi.org/10.1016/..

8

Ex vivo biomechanical characterization of umbilical vessels..:

Murtada, S-I. ; Ramachandra, A.B. ; Humphrey, J.D
Journal of Biomechanics. 151 (2023) - p. 111518 , 2023

Link: https://doi.org/10.1016/..

9

Using 4MOST to refine the measurement of galaxy properties:..:

Dumayne, J ; Hook, I M ; Williams, S C...
RAS Techniques and Instruments. 2 (2023) 1 - p. 453-469 , 2023

Link: https://doi.org/10.1093/..

10

Euclid preparation: XXI. Intermediate-redshift contaminants..:

van Mierlo, S. E. ; Caputi, K. I. ; Ashby, M....
Astronomy & Astrophysics. 666 (2022) - p. A200 , 2022

Link: https://doi.org/10.1051/..

11

Machine-learning classification of astronomical sources: es..:

Humphrey, A ; Kuberski, W ; Bialek, J...
Monthly Notices of the Royal Astronomical Society: Letters. 517 (2022) 1 - p. L116-L120 , 2022

Link: https://doi.org/10.1093/..

12

Unconventional reservoir characterization using geochemical..:

Hussain, M. ; Amao, A.O. ; Al-Ramadan, K...
Marine and Petroleum Geology. 143 (2022) - p. 105770 , 2022

Link: https://doi.org/10.1016/..

13

Improving machine learning-derived photometric redshifts an..:

Humphrey, A ; Cunha, P A C ; Paulino-Afonso, A...
Monthly Notices of the Royal Astronomical Society. 520 (2022) 1 - p. 305-313 , 2022

Link: https://doi.org/10.1093/..

14

Photometric redshift-aided classification using ensemble le..:

Cunha, P. A. C. ; Humphrey, A.
Astronomy & Astrophysics. 666 (2022) - p. A87 , 2022

Link: https://doi.org/10.1051/..

15

Euclidpreparation – XXIII. Derivation of galaxy physical pr..:

Euclid Collaboration ; Bisigello, L ; Conselice, C J...
Monthly Notices of the Royal Astronomical Society. 520 (2022) 3 - p. 3529-3548 , 2022

Link: https://doi.org/10.1093/..