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dc.contributor.authorBoehle, A.
dc.contributor.authorQuanz, S. P.
dc.contributor.authorLovis, C.
dc.contributor.authorSégransan, D.
dc.contributor.authorUdry, S.
dc.contributor.authorApai, D.
dc.date.accessioned2019-10-29T20:31:02Z
dc.date.available2019-10-29T20:31:02Z
dc.date.issued2019-09-23
dc.identifier.citationCombining high-contrast imaging and radial velocities to constrain the planetary architectures of nearby stars A. Boehle, S. P. Quanz, C. Lovis, D. Ségransan, S. Udry and D. Apai A&A, 630 (2019) A50 DOI: https://doi.org/10.1051/0004-6361/201935733en_US
dc.identifier.issn1432-0746
dc.identifier.doi10.1051/0004-6361/201935733
dc.identifier.urihttp://hdl.handle.net/10150/634902
dc.description.abstractContext. Nearby stars are prime targets for exoplanet searches and characterization using a variety of detection techniques. Combining constraints from the complementary detection methods of high-contrast imaging (HCI) and radial velocity (RV) can further constrain the planetary architectures of these systems because these methods place limits at different regions of the companion mass and semimajor axis parameter space. Compiling a census of the planet population in the solar neighborhood is important to inform target lists for future space missions that will specifically target nearby stars to search for Earth analogs. Aims. We aim to constrain the planetary architectures from the combination of HCI and RV data for six nearby stars within 6 pc: tau Ceti, Kapteyn's star, AX Mic, 40 Eri, HD 36395, and HD 42581. We explored where HCI adds information to constraints from the long-term RV monitoring data for these stars. Methods. We compiled the sample from stars with available archival VLT/NACO HCI data at L' and (3.8 mu m), where we expect substellar companions to be brighter for the typically older ages of nearby field stars (>1 Gyr). The NACO data were fully reanalyzed using the state-of-the-art direct imaging pipeline PynPoint and combined with RV data from HARPS, Keck/HIRES, and CORALIE. A Monte Carlo approach was used to assess the completeness in the companion mass and semi-major axis parameter space from the combination of the HCI and RV data sets. Results. We find that the HCI data add significant information to the RV constraints, increasing the completeness for certain companions masses and semi-major axes by up to 68-99% for four of the six stars in our sample, and by up to 1-13% for the remaining stars. The improvements are strongest for intermediate semi-major axes (15-40 AU), corresponding to the semi-major axes of the ice giants in our own solar system. The HCI mass limits reach 5-20 M-Jup in the background-limited regime, depending on the age of the star. Conclusions. Through the combination of HCI and RV data, we find that stringent constraints can be placed on the possible substellar companions in these systems. Applying these methods systematically to nearby stars will quantify our current knowledge of the planet population in the solar neighborhood and inform future observations.en_US
dc.description.sponsorshipSNSFSwiss National Science Foundation (SNSF)en_US
dc.language.isoenen_US
dc.publisherEDP SCIENCES S Aen_US
dc.rightsCopyright © ESO 2019.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjecttechniques: high angular resolutionen_US
dc.subjectplanets and satellites: generalen_US
dc.subjectinfrared: planetary systemsen_US
dc.subjectsolar neighborhooden_US
dc.subjecttechniques: radial velocitiesen_US
dc.titleCombining high-contrast imaging and radial velocities to constrain the planetary architectures of nearby starsen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Steward Observ, Dept Astronen_US
dc.identifier.journalASTRONOMY & ASTROPHYSICSen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.source.volume630
dc.source.beginpageA50
refterms.dateFOA2019-10-29T20:31:03Z


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