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Magnetic Inhibition of Convection and the Fundamental Properties of Low-Mass Stars. I. Stars with a Radiative Core Gregory A
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Dartmouth Digital Commons (Dartmouth College) Dartmouth College Dartmouth Digital Commons Open Dartmouth: Faculty Open Access Articles 12-4-2013 Magnetic Inhibition of Convection and the Fundamental Properties of Low-Mass Stars. I. Stars with a Radiative Core Gregory A. Feiden Dartmouth College Brian Chaboyer Dartmouth College Follow this and additional works at: https://digitalcommons.dartmouth.edu/facoa Part of the Stars, Interstellar Medium and the Galaxy Commons Recommended Citation Feiden, Gregory A. and Chaboyer, Brian, "Magnetic Inhibition of Convection and the Fundamental Properties of Low-Mass Stars. I. Stars with a Radiative Core" (2013). Open Dartmouth: Faculty Open Access Articles. 2188. https://digitalcommons.dartmouth.edu/facoa/2188 This Article is brought to you for free and open access by Dartmouth Digital Commons. It has been accepted for inclusion in Open Dartmouth: Faculty Open Access Articles by an authorized administrator of Dartmouth Digital Commons. For more information, please contact [email protected]. The Astrophysical Journal, 779:183 (25pp), 2013 December 20 doi:10.1088/0004-637X/779/2/183 C 2013. The American Astronomical Society. All rights reserved. Printed in the U.S.A. MAGNETIC INHIBITION OF CONVECTION AND THE FUNDAMENTAL PROPERTIES OF LOW-MASS STARS. I. STARS WITH A RADIATIVE CORE Gregory A. Feiden1 and Brian Chaboyer Department of Physics and Astronomy, Dartmouth College, 6127 Wilder Laboratory, Hanover, NH 03755, USA; [email protected], [email protected] Received 2013 August 20; accepted 2013 October 31; published 2013 December 4 ABSTRACT Magnetic fields are hypothesized to inflate the radii of low-mass stars—defined as less massive than 0.8 M—in detached eclipsing binaries (DEBs). -
![Arxiv:1804.07377V1 [Astro-Ph.SR] 19 Apr 2018](https://docslib.b-cdn.net/cover/5841/arxiv-1804-07377v1-astro-ph-sr-19-apr-2018-105841.webp)
Arxiv:1804.07377V1 [Astro-Ph.SR] 19 Apr 2018
submitted to The Astronomical Journal 20 April 2018 The Solar Neighborhood XLIV: RECONS Discoveries within 10 Parsecs Todd J. Henry1;8, Wei-Chun Jao2;8, Jennifer G. Winters3;8, Sergio B. Dieterich4;8, Charlie T. Finch5;8, Philip A. Ianna1;8, Adric R. Riedel6;8, Michele L. Silverstein2;8, John P. Subasavage7;8, Eliot Halley Vrijmoet2 1RECONS Institute, Chambersburg, PA 17201, USA; [email protected], [email protected] 2Department of Physics and Astronomy, Georgia State University, Atlanta, GA 30302, USA; [email protected], [email protected], [email protected] 3Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA; [email protected] 4Department of Terrestrial Magnetism, Carnegie Institution for Science, Washington, DC 20015, USA; [email protected] 5Astrometry Department, U.S. Naval Observatory, Washington, DC 20392, USA; charlie.fi[email protected] 6Space Telescope Science Institute, Baltimore, MD 21218, USA; [email protected] 7United States Naval Observatory, Flagstaff, AZ 86001, USA; [email protected] ABSTRACT arXiv:1804.07377v1 [astro-ph.SR] 19 Apr 2018 We describe the 44 systems discovered to be within 10 parsecs of the Sun by the RECONS team, primarily via the long-term astrometry program at CTIO that began in 1999. The systems | including 41 with red dwarf primaries, 2 white dwarfs, and 1 brown dwarf | have been found to have trigonometric parallaxes 8Visiting Astronomer, Cerro Tololo Inter-American Observatory. CTIO is operated by AURA, Inc. under contract to the National Science Foundation. { 2 { greater than 100 milliarcseconds (mas), with errors of 0.4{2.4 mas in all but one case. -
100 Closest Stars Designation R.A
100 closest stars Designation R.A. Dec. Mag. Common Name 1 Gliese+Jahreis 551 14h30m –62°40’ 11.09 Proxima Centauri Gliese+Jahreis 559 14h40m –60°50’ 0.01, 1.34 Alpha Centauri A,B 2 Gliese+Jahreis 699 17h58m 4°42’ 9.53 Barnard’s Star 3 Gliese+Jahreis 406 10h56m 7°01’ 13.44 Wolf 359 4 Gliese+Jahreis 411 11h03m 35°58’ 7.47 Lalande 21185 5 Gliese+Jahreis 244 6h45m –16°49’ -1.43, 8.44 Sirius A,B 6 Gliese+Jahreis 65 1h39m –17°57’ 12.54, 12.99 BL Ceti, UV Ceti 7 Gliese+Jahreis 729 18h50m –23°50’ 10.43 Ross 154 8 Gliese+Jahreis 905 23h45m 44°11’ 12.29 Ross 248 9 Gliese+Jahreis 144 3h33m –9°28’ 3.73 Epsilon Eridani 10 Gliese+Jahreis 887 23h06m –35°51’ 7.34 Lacaille 9352 11 Gliese+Jahreis 447 11h48m 0°48’ 11.13 Ross 128 12 Gliese+Jahreis 866 22h39m –15°18’ 13.33, 13.27, 14.03 EZ Aquarii A,B,C 13 Gliese+Jahreis 280 7h39m 5°14’ 10.7 Procyon A,B 14 Gliese+Jahreis 820 21h07m 38°45’ 5.21, 6.03 61 Cygni A,B 15 Gliese+Jahreis 725 18h43m 59°38’ 8.90, 9.69 16 Gliese+Jahreis 15 0h18m 44°01’ 8.08, 11.06 GX Andromedae, GQ Andromedae 17 Gliese+Jahreis 845 22h03m –56°47’ 4.69 Epsilon Indi A,B,C 18 Gliese+Jahreis 1111 8h30m 26°47’ 14.78 DX Cancri 19 Gliese+Jahreis 71 1h44m –15°56’ 3.49 Tau Ceti 20 Gliese+Jahreis 1061 3h36m –44°31’ 13.09 21 Gliese+Jahreis 54.1 1h13m –17°00’ 12.02 YZ Ceti 22 Gliese+Jahreis 273 7h27m 5°14’ 9.86 Luyten’s Star 23 SO 0253+1652 2h53m 16°53’ 15.14 24 SCR 1845-6357 18h45m –63°58’ 17.40J 25 Gliese+Jahreis 191 5h12m –45°01’ 8.84 Kapteyn’s Star 26 Gliese+Jahreis 825 21h17m –38°52’ 6.67 AX Microscopii 27 Gliese+Jahreis 860 22h28m 57°42’ 9.79, -
Frontier: First Encounters 2 Contents
Frontier: First Encounters 2 Contents Credits v Preface vii Quick start ix 1 Tutorial 1 1.1 Your first view . 1 1.2 You and your ship (Inventory mode) . 2 1.3 The galaxy . 3 1.4 Where to go, and what to do there . 5 1.5 Getting out of here . 9 1.6 Arriving . 11 1.7 On landing . 14 2 The controls 17 2.1 Welcome to your Saker Mk III . 17 2.2 Ship instrumentation, and how to use it . 17 2.3 The View Panel (F1) . 19 2.4 The Inventory Panel (F2) . 22 2.5 The Map Panel (F3) . 25 2.6 The Communications Panel (F4) . 28 2.7 The Scanner . 30 2.8 Fuel Gauge and Temperature Gauges . 31 2.9 Warning Lights . 31 2.10 Dual Console . 32 2.11 Options . 35 3 Flying a spacecraft 37 3.1 Basic flight controls . 37 3.2 Fly-by-wire — an idiot’s guide . 38 3.3 Launching and docking procedures . 39 3.4 Flying between star-systems . 44 3.5 Flying within a system . 46 3.6 Intra-system flight without an autopilot . 49 3.7 Manual flight, and relative velocities . 51 3.8 Your pilot’s test — a revision guide . 55 3.9 Basic combat controls . 57 i ii CONTENTS 3.10 The combat drill . 59 3.11 Combat techniques . 63 3.12 Interception techniques . 68 3.13 Planetary combat . 70 3.14 Full manual flight control (Advanced) . 73 4 Careers 77 4.1 Bulletin Boards . 77 4.2 Deliveries . 79 4.2.1 Parcel courier . -
Guide Du Ciel Profond
Guide du ciel profond Olivier PETIT 8 mai 2004 2 Introduction hjjdfhgf ghjfghfd fg hdfjgdf gfdhfdk dfkgfd fghfkg fdkg fhdkg fkg kfghfhk Table des mati`eres I Objets par constellation 21 1 Androm`ede (And) Andromeda 23 1.1 Messier 31 (La grande Galaxie d'Androm`ede) . 25 1.2 Messier 32 . 27 1.3 Messier 110 . 29 1.4 NGC 404 . 31 1.5 NGC 752 . 33 1.6 NGC 891 . 35 1.7 NGC 7640 . 37 1.8 NGC 7662 (La boule de neige bleue) . 39 2 La Machine pneumatique (Ant) Antlia 41 2.1 NGC 2997 . 43 3 le Verseau (Aqr) Aquarius 45 3.1 Messier 2 . 47 3.2 Messier 72 . 49 3.3 Messier 73 . 51 3.4 NGC 7009 (La n¶ebuleuse Saturne) . 53 3.5 NGC 7293 (La n¶ebuleuse de l'h¶elice) . 56 3.6 NGC 7492 . 58 3.7 NGC 7606 . 60 3.8 Cederblad 211 (N¶ebuleuse de R Aquarii) . 62 4 l'Aigle (Aql) Aquila 63 4.1 NGC 6709 . 65 4.2 NGC 6741 . 67 4.3 NGC 6751 (La n¶ebuleuse de l’œil flou) . 69 4.4 NGC 6760 . 71 4.5 NGC 6781 (Le nid de l'Aigle ) . 73 TABLE DES MATIERES` 5 4.6 NGC 6790 . 75 4.7 NGC 6804 . 77 4.8 Barnard 142-143 (La tani`ere noire) . 79 5 le B¶elier (Ari) Aries 81 5.1 NGC 772 . 83 6 le Cocher (Aur) Auriga 85 6.1 Messier 36 . 87 6.2 Messier 37 . 89 6.3 Messier 38 . -
![Arxiv:2105.11583V2 [Astro-Ph.EP] 2 Jul 2021 Keck-HIRES, APF-Levy, and Lick-Hamilton Spectrographs](https://docslib.b-cdn.net/cover/4203/arxiv-2105-11583v2-astro-ph-ep-2-jul-2021-keck-hires-apf-levy-and-lick-hamilton-spectrographs-364203.webp)
Arxiv:2105.11583V2 [Astro-Ph.EP] 2 Jul 2021 Keck-HIRES, APF-Levy, and Lick-Hamilton Spectrographs
Draft version July 6, 2021 Typeset using LATEX twocolumn style in AASTeX63 The California Legacy Survey I. A Catalog of 178 Planets from Precision Radial Velocity Monitoring of 719 Nearby Stars over Three Decades Lee J. Rosenthal,1 Benjamin J. Fulton,1, 2 Lea A. Hirsch,3 Howard T. Isaacson,4 Andrew W. Howard,1 Cayla M. Dedrick,5, 6 Ilya A. Sherstyuk,1 Sarah C. Blunt,1, 7 Erik A. Petigura,8 Heather A. Knutson,9 Aida Behmard,9, 7 Ashley Chontos,10, 7 Justin R. Crepp,11 Ian J. M. Crossfield,12 Paul A. Dalba,13, 14 Debra A. Fischer,15 Gregory W. Henry,16 Stephen R. Kane,13 Molly Kosiarek,17, 7 Geoffrey W. Marcy,1, 7 Ryan A. Rubenzahl,1, 7 Lauren M. Weiss,10 and Jason T. Wright18, 19, 20 1Cahill Center for Astronomy & Astrophysics, California Institute of Technology, Pasadena, CA 91125, USA 2IPAC-NASA Exoplanet Science Institute, Pasadena, CA 91125, USA 3Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305, USA 4Department of Astronomy, University of California Berkeley, Berkeley, CA 94720, USA 5Cahill Center for Astronomy & Astrophysics, California Institute of Technology, Pasadena, CA 91125, USA 6Department of Astronomy & Astrophysics, The Pennsylvania State University, 525 Davey Lab, University Park, PA 16802, USA 7NSF Graduate Research Fellow 8Department of Physics & Astronomy, University of California Los Angeles, Los Angeles, CA 90095, USA 9Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125, USA 10Institute for Astronomy, University of Hawai`i, -
Star Systems in the Solar Neighborhood up to 10 Parsecs Distance
Vol. 16 No. 3 June 15, 2020 Journal of Double Star Observations Page 229 Star Systems in the Solar Neighborhood up to 10 Parsecs Distance Wilfried R.A. Knapp Vienna, Austria [email protected] Abstract: The stars and star systems in the solar neighborhood are for obvious reasons the most likely best investigated stellar objects besides the Sun. Very fast proper motion catches the attention of astronomers and the small distances to the Sun allow for precise measurements so the wealth of data for most of these objects is impressive. This report lists 94 star systems (doubles or multiples most likely bound by gravitation) in up to 10 parsecs distance from the Sun as well over 60 questionable objects which are for different reasons considered rather not star systems (at least not within 10 parsecs) but might be if with a small likelihood. A few of the listed star systems are newly detected and for several systems first or updated preliminary orbits are suggested. A good part of the listed nearby star systems are included in the GAIA DR2 catalog with par- allax and proper motion data for at least some of the components – this offers the opportunity to counter-check the so far reported data with the most precise star catalog data currently available. A side result of this counter-check is the confirmation of the expectation that the GAIA DR2 single star model is not well suited to deliver fully reliable parallax and proper motion data for binary or multiple star systems. 1. Introduction high proper motion speed might cause visually noticea- The answer to the question at which distance the ble position changes from year to year. -
A First Reconnaissance of the Atmospheres of Terrestrial Exoplanets Using Ground-Based Optical Transits and Space-Based UV Spectra
A First Reconnaissance of the Atmospheres of Terrestrial Exoplanets Using Ground-Based Optical Transits and Space-Based UV Spectra The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Diamond-Lowe, Hannah Zoe. 2020. A First Reconnaissance of the Atmospheres of Terrestrial Exoplanets Using Ground-Based Optical Transits and Space-Based UV Spectra. Doctoral dissertation, Harvard University, Graduate School of Arts & Sciences. Citable link https://nrs.harvard.edu/URN-3:HUL.INSTREPOS:37365825 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA A first reconnaissance of the atmospheres of terrestrial exoplanets using ground-based optical transits and space-based UV spectra A DISSERTATION PRESENTED BY HANNAH ZOE DIAMOND-LOWE TO THE DEPARTMENT OF ASTRONOMY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY IN THE SUBJECT OF ASTRONOMY HARVARD UNIVERSITY CAMBRIDGE,MASSACHUSETTS MAY 2020 c 2020 HANNAH ZOE DIAMOND-LOWE.ALL RIGHTS RESERVED. ii Dissertation Advisor: David Charbonneau Hannah Zoe Diamond-Lowe A first reconnaissance of the atmospheres of terrestrial exoplanets using ground-based optical transits and space-based UV spectra ABSTRACT Decades of ground-based, space-based, and in some cases in situ measurements of the Solar System terrestrial planets Mercury, Venus, Earth, and Mars have provided in- depth insight into their atmospheres, yet we know almost nothing about the atmospheres of terrestrial planets orbiting other stars. -
HOW to CONSTRAIN YOUR M DWARF: MEASURING EFFECTIVE TEMPERATURE, BOLOMETRIC LUMINOSITY, MASS, and RADIUS Andrew W
The Astrophysical Journal, 804:64 (38pp), 2015 May 1 doi:10.1088/0004-637X/804/1/64 © 2015. The American Astronomical Society. All rights reserved. HOW TO CONSTRAIN YOUR M DWARF: MEASURING EFFECTIVE TEMPERATURE, BOLOMETRIC LUMINOSITY, MASS, AND RADIUS Andrew W. Mann1,2,8,9, Gregory A. Feiden3, Eric Gaidos4,5,10, Tabetha Boyajian6, and Kaspar von Braun7 1 University of Texas at Austin, USA; [email protected] 2 Institute for Astrophysical Research, Boston University, USA 3 Department of Physics and Astronomy, Uppsala University, Box 516, SE-751 20, Uppsala, Sweden 4 Department of Geology and Geophysics, University of Hawaii at Manoa, Honolulu, HI 96822, USA 5 Max Planck Institut für Astronomie, Heidelberg, Germany 6 Department of Astronomy, Yale University, New Haven, CT 06511, USA 7 Lowell Observatory, 1400 W. Mars Hill Rd., Flagstaff, AZ, USA Received 2015 January 6; accepted 2015 February 26; published 2015 May 4 ABSTRACT Precise and accurate parameters for late-type (late K and M) dwarf stars are important for characterization of any orbiting planets, but such determinations have been hampered by these stars’ complex spectra and dissimilarity to the Sun. We exploit an empirically calibrated method to estimate spectroscopic effective temperature (Teff) and the Stefan–Boltzmann law to determine radii of 183 nearby K7–M7 single stars with a precision of 2%–5%. Our improved stellar parameters enable us to develop model-independent relations between Teff or absolute magnitude and radius, as well as between color and Teff. The derived Teff–radius relation depends strongly on [Fe/H],as predicted by theory. -
Publications Ofthe Astronomical Society Ofthe Pacific 99:490-496, June 1987
Publications ofthe Astronomical Society ofthe Pacific 99:490-496, June 1987 RADIAL VELOCITIES OF M DWARF STARS GEOFFREY W. MARCY,* VICTORIA LINDSAY,* AND KAREN WILSON Department of Physics and Astronomy, San Francisco State University, San Francisco, California 94132 Received 1987 February 26, revised 1987 March 28 ABSTRACT Radial velocities for 72 M dwarfs have been obtained having internal errors of about 0.1 km s1 and external errors of about 0.4 km s_1. Multiple velocity measurements of ten dMe stars have yielded a set of six which have no stellar companions, providing confirmation that the dMe phenomenon can occur in single stars. These single dMe stars have low space motions indicative of relative youth. Four stars from the entire survey were found to have double-line spectra and two were found to be single-line spectroscopic binaries of low amplitude. The zero point of the velocity scale is found to agree well with that of O. C. Wilson (1967) and differences are noted among other radial-velocity studies. Most of the stars in this study have velocities sufficiently well determined to constitute potential radial-velocity standards. Key words: K-M dwarfs-radial velocities I. Introduction atic difference between their velocities and O. C. 1 Accurate measurements of radial velocities for M Wilson's of —1.7 km s , a discrepancy not explainable by dwarfs are used to address a number of astrophysical the random errors of the two studies. problems such as the age dependence of the kinematics of Thus, it is not known at present which zero point is to the Galaxy (cf. -
Variable Star Classification and Light Curves Manual
Variable Star Classification and Light Curves An AAVSO course for the Carolyn Hurless Online Institute for Continuing Education in Astronomy (CHOICE) This is copyrighted material meant only for official enrollees in this online course. Do not share this document with others. Please do not quote from it without prior permission from the AAVSO. Table of Contents Course Description and Requirements for Completion Chapter One- 1. Introduction . What are variable stars? . The first known variable stars 2. Variable Star Names . Constellation names . Greek letters (Bayer letters) . GCVS naming scheme . Other naming conventions . Naming variable star types 3. The Main Types of variability Extrinsic . Eclipsing . Rotating . Microlensing Intrinsic . Pulsating . Eruptive . Cataclysmic . X-Ray 4. The Variability Tree Chapter Two- 1. Rotating Variables . The Sun . BY Dra stars . RS CVn stars . Rotating ellipsoidal variables 2. Eclipsing Variables . EA . EB . EW . EP . Roche Lobes 1 Chapter Three- 1. Pulsating Variables . Classical Cepheids . Type II Cepheids . RV Tau stars . Delta Sct stars . RR Lyr stars . Miras . Semi-regular stars 2. Eruptive Variables . Young Stellar Objects . T Tau stars . FUOrs . EXOrs . UXOrs . UV Cet stars . Gamma Cas stars . S Dor stars . R CrB stars Chapter Four- 1. Cataclysmic Variables . Dwarf Novae . Novae . Recurrent Novae . Magnetic CVs . Symbiotic Variables . Supernovae 2. Other Variables . Gamma-Ray Bursters . Active Galactic Nuclei 2 Course Description and Requirements for Completion This course is an overview of the types of variable stars most commonly observed by AAVSO observers. We discuss the physical processes behind what makes each type variable and how this is demonstrated in their light curves. Variable star names and nomenclature are placed in a historical context to aid in understanding today’s classification scheme. -
A Code to Measure Stellar Atmospheric Parameters and Their Covariance from Spectra
MNRAS 467, 971–984 (2017) doi:10.1093/mnras/stx144 Advance Access publication 2017 January 19 ZASPE: a code to measure stellar atmospheric parameters and their covariance from spectra Rafael Brahm,1,2‹ Andres´ Jordan,´ 1,2 Joel Hartman3 and Gasp´ ar´ Bakos3†‡ 1 Instituto de Astrof´ısica, Facultad de F´ısica, Pontificia Universidad Catolica´ de Chile, Av. Vicuna˜ Mackenna 4860, 7820436 Macul, Santiago, Chile Downloaded from https://academic.oup.com/mnras/article-abstract/467/1/971/2929275 by Princeton University user on 28 November 2018 2Millennium Institute of Astrophysics, Santiago, Chile 3Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544, USA Accepted 2017 January 17. Received 2017 January 13; in original form 2015 December 7 ABSTRACT We describe the Zonal Atmospheric Stellar Parameters Estimator (ZASPE), a new algorithm, and its associated code, for determining precise stellar atmospheric parameters and their uncertainties from high-resolution echelle spectra of FGK-type stars. ZASPE estimates stellar atmospheric parameters by comparing the observed spectrum against a grid of synthetic spectra only in the most sensitive spectral zones to changes in the atmospheric parameters. Realistic uncertainties in the parameters are computed from the data itself, by taking into account the systematic mismatches between the observed spectrum and the best-fitting synthetic one. The covariances between the parameters are also estimated in the process. ZASPE can in principle use any pre-calculated grid of synthetic spectra, but unbiased grids are required to obtain accurate parameters. We tested the performance of two existing libraries, and we concluded that neither is suitable for computing precise atmospheric parameters.