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Pregled bibliografske jedinice broj: 741362

Časopis

Autori: Calchi Novati, S.; ...; Dominis Prester, Dijana; ...; Lončarić, Klaudija; ...; DePoy, D. L.
Naslov: Pathway to the Galactic Distribution of Planets: Combined Spitzer and Ground-Based Microlens Parallax Measurements of 21 Single-Lens Events
Izvornik: The Astrophysical journal (0004-637X) 804 (2015), 1; 20-1-20-25
Vrsta rada: članak
Ključne riječi: gravitational lensing: micro — planets
Sažetak:
We present microlens parallax measurements for 21 (apparently) isolated lenses observed toward the Galactic bulge that were imaged simultaneously from Earth and Spitzer, which was ~1 AU West of Earth in projection. We combine these measurements with a kinematic model of the Galaxy to derive distance estimates for each lens, with error bars that are small compared to the Sun's Galactocentric distance. The ensemble therefore yields a well-defined cumulative distribution of lens distances. In principle it is possible to compare this distribution against a set of planets detected in the same experiment in order to measure the Galactic distribution of planets. Since these Spitzer observations yielded only one planet, this is not yet possible in practice. However, it will become possible as larger samples are accumulated.
Izvorni jezik: ENG
Rad je indeksiran u
bazama podataka:
Current Contents Connect (CCC)
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Fizika
URL Internet adrese: http://adsabs.harvard.edu/abs/2014arXiv1411.7378C
http://arxiv.org/abs/1411.7378
Broj citata:
Altmetric:
DOI: 10.1088/0004-637X/804/1/20
URL cjelovitog teksta:
Google Scholar: Pathway to the Galactic Distribution of Planets: Combined Spitzer and Ground-Based Microlens Parallax Measurements of 21 Single-Lens Events
Upisao u CROSBI: Dijana Dominis Prester (dijana@phy.uniri.hr), 15. Pro. 2014. u 17:38 sati
Napomene:
OGLE Collaboration ; PLANET Collaboration ; MOA Collaboration ; Wise Group ; RoboNet Collaboration ; MiNDSTEp Consortium ; μFUN Collaboration.



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