I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
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
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Reconnaissance with JWST of the J-region Asymptotic Giant B..:
Li, Siyang
;
Riess, Adam G.
;
Casertano, Stefano
...
The Astrophysical Journal. 966 (2024) 1 - p. 20 , 2024
Link:
https://doi.org/10.3847/1538-4357/ad2f2b
RT Journal T1
Reconnaissance with JWST of the J-region Asymptotic Giant Branch in Distance Ladder Galaxies: From Irregular Luminosity Functions to Approximation of the Hubble Constant
UL https://suche.suub.uni-bremen.de/peid=cr-10.3847_1538-4357_ad2f2b&Exemplar=1&LAN=DE A1 Li, Siyang A1 Riess, Adam G. A1 Casertano, Stefano A1 Anand, Gagandeep S. A1 Scolnic, Daniel M. A1 Yuan, Wenlong A1 Breuval, Louise A1 Huang, Caroline D. PB American Astronomical Society YR 2024 SN 0004-637X SN 1538-4357 JF The Astrophysical Journal VO 966 IS 1 SP 20 LK http://dx.doi.org/https://doi.org/10.3847/1538-4357/ad2f2b DO https://doi.org/10.3847/1538-4357/ad2f2b SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)