I agree that this site is using cookies. You can find further informations
here
.
X
Login
My folder (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
Show Desktop-Version
Toggle navigation
Sevilla-Noarbe, I.
1512
results:
Search for persons
X
Format
Online (1512)
Mediatypes
Articles (Online) (56)
Bookchapter (Online) (2)
OpenAccess-fulltext (1454)
Languages
english (1066)
italian (1)
Sorted by: Relevance
Sorted by: Year
?
1
The PAU Survey: a new constraint on galaxy formation models..:
Manzoni, G
;
Baugh, C M
;
Norberg, P
...
Monthly Notices of the Royal Astronomical Society. 530 (2024) 2 - p. 1394-1413 , 2024
Link:
https://doi.org/10.1093/..
?
2
Dark Energy Survey Deep Field photometric redshift performa..:
Toribio San Cipriano, L.
;
De Vicente, J.
;
Sevilla-Noarbe, I.
...
Astronomy & Astrophysics. 686 (2024) - p. A38 , 2024
Link:
https://doi.org/10.1051/..
?
3
The PAU survey: close galaxy pairs identification and analy..:
Gonzalez, E J
;
Rodriguez, F
;
Navarro-Gironés, D
...
Monthly Notices of the Royal Astronomical Society. 522 (2023) 4 - p. 5655-5668 , 2023
Link:
https://doi.org/10.1093/..
?
4
The Physics of the Accelerating Universe Survey: narrow-ban..:
Serrano, S
;
Gaztañaga, E
;
Castander, F J
...
Monthly Notices of the Royal Astronomical Society. 523 (2023) 3 - p. 3287-3317 , 2023
Link:
https://doi.org/10.1093/..
?
5
Dark Energy Survey Year 3 results: magnification modelling ..:
Elvin-Poole, J
;
MacCrann, N
;
Everett, S
...
Monthly Notices of the Royal Astronomical Society. 523 (2023) 3 - p. 3649-3670 , 2023
Link:
https://doi.org/10.1093/..
?
6
The PAU survey: classifying low-z SEDs using Machine Learni..:
González-Morán, A L
;
Arrabal Haro, P
;
Muñoz-Tuñón, C
...
Monthly Notices of the Royal Astronomical Society. 524 (2023) 3 - p. 3569-3581 , 2023
Link:
https://doi.org/10.1093/..
?
7
The Dark Energy Survey Year 3 high-redshift sample: selecti..:
Sánchez, C
;
Alarcon, A
;
Bernstein, G M
...
Monthly Notices of the Royal Astronomical Society. 525 (2023) 3 - p. 3896-3922 , 2023
Link:
https://doi.org/10.1093/..
?
8
Dark Energy Survey Year 3 results: calibration of lens samp..:
Cawthon, R
;
Elvin-Poole, J
;
Porredon, A
...
Monthly Notices of the Royal Astronomical Society. 513 (2022) 4 - p. 5517-5539 , 2022
Link:
https://doi.org/10.1093/..
?
9
Dark Energy Survey Year 3 Results: Measuring the Survey Tra..:
Everett, S.
;
Yanny, B.
;
Kuropatkin, N.
...
The Astrophysical Journal Supplement Series. 258 (2022) 1 - p. 15 , 2022
Link:
https://doi.org/10.3847/..
?
10
Dark Energy Survey Year 3 results: Cosmological constraints..:
Porredon, A.
;
Crocce, M.
;
Elvin-Poole, J.
...
Physical Review D. 106 (2022) 10 - p. , 2022
Link:
https://doi.org/10.1103/..
?
11
The Dark Energy Survey Bright Arcs Survey: Candidate Strong..:
O'Donnell, J. H.
;
Wilkinson, R. D.
;
Diehl, H. T.
...
The Astrophysical Journal Supplement Series. 259 (2022) 1 - p. 27 , 2022
Link:
https://doi.org/10.3847/..
?
12
Dark Energy Survey Year 3 results: Imprints of cosmic voids..:
Kovács, A
;
Vielzeuf, P
;
Ferrero, I
...
Monthly Notices of the Royal Astronomical Society. 515 (2022) 3 - p. 4417-4429 , 2022
Link:
https://doi.org/10.1093/..
?
13
Lessons learned from the two largest Galaxy morphological c..:
Cheng, T-Y
;
Domínguez Sánchez, H
;
Vega-Ferrero, J
...
Monthly Notices of the Royal Astronomical Society. 518 (2022) 2 - p. 2794-2809 , 2022
Link:
https://doi.org/10.1093/..
?
14
The PAU survey: estimating galaxy photometry with deep lear..:
Cabayol, L
;
Eriksen, M
;
Amara, A
...
Monthly Notices of the Royal Astronomical Society. 506 (2021) 3 - p. 4048-4069 , 2021
Link:
https://doi.org/10.1093/..
?
15
A machine learning approach to galaxy properties: joint red..:
Mucesh, S
;
Hartley, W G
;
Palmese, A
...
Monthly Notices of the Royal Astronomical Society. 502 (2021) 2 - p. 2770-2786 , 2021
Link:
https://doi.org/10.1093/..
1-15