Fuerteventura, Spain – May 25, 2013 Physical parameters of a sample of M dwarfs from high- resolution near-infrared spectra Carlos del Burgo Collaborators:

Slides:



Advertisements
Similar presentations
Why observe M dwarfs? Due to current technical limits
Advertisements

PRESS RELEASE  WHO? Astronomers at UCLA and IPAC using the Keck Observatory. –Team members are Ian McLean (PI), Adam Burgasser, Davy Kirkpatrick (IPAC),
Brown Dwarfs and Extrasolar Giant Planets Model Atmospheres France Allard Centre de Recherche Astronomique de Lyon.
Echelle Spectroscopy Dr Ray Stathakis, AAO. What is it? n Echelle spectroscopy is used to observe single objects at high spectral detail. n The spectrum.
Spectroscopic Data ASTR 3010 Lecture 15 Textbook Ch.11.
Stellar Spectroscopy during Exoplanet Transits Dissecting fine structure across stellar surfaces Dainis Dravins *, Hans-Günter Ludwig, Erik Dahlén, Hiva.
1 Lites FPP-SP Initial Reduct SOT #17 Meeting, NAOJ, April Solar-B FPP Initial Data Reduction for the FPP Spectro- Polarimeter October, 2004 Bruce.
The Earthshine Spectrum in the Near Infrared M. Turnbull 1, W. Traub 2, K. Jucks 3, N. Woolf 4, M. Meyer 4, N. Gorlova 4, M. Skrutskie 5, J. Wilson 5 1.
Near-Infrared Spectral Properties of Metal-Poor Red Supergiants Valentin D. Ivanov (ESO) Collaborators: Marcia J. Rieke, A. Alonso- Herrero, Danielle Alloin.
ECLIPSING BINARIES IN OPEN CLUSTERS John Southworth Dr Pierre Maxted Dr Barry Smalley Astrophysics Group Keele University.
M. R. Zapatero Osorio (LAEFF-INTA, Spain) B. L. Lane (MIT, USA) Ya. Pavlenko (MAO, Ukraine) E. L. Martín (IAC, Spain) M. Britton, S. R. Kulkarni (Caltech,
Compilation of stellar fundamental parameters from literature : high quality observations + primary methods Calibration stars for astrophysical parametrization.
Observational Astrophysics II: May-June, Observational Astrophysics Part II: Observations (5 p) May/June 2004: Rene´ Liseau Magnus.
Layers of the Solar Atmosphere Corona Chromosphere Photosphere Details of solar activity can be seen more easily in the hotter outer layers, which are.
Spectroscopy in Stellar Astrophysics Alberto Rebassa Mansergas.
Spring School of Spectroscopic Data Analyses 8-12 April 2013 Astronomical Institute of the University of Wroclaw Wroclaw, Poland.
Radial-velocity planet-search survey of stars with circumstellar disks Patrick Weise Johny Setiawan, Ralf Launhardt, André Müller, Thomas Henning Max-Planck-Institute.
Atmospheric tomography of supergiant stars (starring μ Cep) Alain Jorissen, Sophie Van Eck, Kateryna Kravchenko (Université Libre de Bruxelles) Andrea.
1 High-z galaxy masses from spectroastrometry Alessio Gnerucci Department of Physics and Astronomy University of Florence 13/12/2009- Obergurgl Collaborators:
Variation of EUV solar irradiances along the cycle Vincenzo Andretta 1, Giulio Del Zanna 2, Seth Wieman 3 1 INAF – Osservatorio Astronomico di Capodimonte,
200 MG 500 MG TheoryObservation Authors Institutes RE J is a hydrogen rich strongly magnetic white dwarf discovered as an EUV source by the ROSAT.
Low-mass binaries from CoRoT: stringent tests for stellar models Abstract: Analyses of double-lined eclipsing binary systems provide masses and radii of.
Model atmospheres for Red Giant Stars Bertrand Plez GRAAL, Université de Montpellier 2 RED GIANTS AS PROBES OF THE STRUCTURE AND EVOLUTION OF THE MILKY.
NGC 2506 – a try for a spectroscopic study Ekaterina Atanasova Petr Kabath Christine Oppegaard Mª Carmen Sánchez Gil Tutor: Frédéric Royer 2nd NEON Archive.
Observations of Achernar with VINCI EuroSummer School Observation and data reduction with the Very Large Telescope Interferometer Goutelas, France June.
SALTLIB Proposal for a Stellar Spectral Library using H. P. Singh, Department of Physics & Astrophysics University of Delhi, Delhi – ,
14 October Observational Astronomy SPECTROSCOPY and spectrometers Kitchin, pp
Subaru HDS Transmission Spectroscopy of the Transiting Extrasolar Planet HD b The University of Tokyo Norio Narita collaborators Yasushi Suto, Joshua.
Simultaneous Subaru/MAGNUM Observations of Extrasolar Planetary Transits Norio Narita (U. Tokyo, JSPS Fellow, Japan) Collaborators Y. Ohta, A. Taruya,
Searching for Brown Dwarf Companions to Nearby Stars Michael W. McElwain, James E. Larkin & Adam J. Burgasser (UC Los Angeles) Background on Brown Dwarfs.
Changes in Mean Global Physical Parameters of Blazhko RR Lyrae stars derived from multicolour photometry Ádám Sódor Konkoly Observatory Stellar Pulsation.
Andreas Quirrenbach and the CARMENES Consortium Searching for Blue Planets Orbiting Red Dwarfs.
500K planet at 1.0, 0.5, 0.3 AU around a G2V Barman et al. (ApJ 556, 885, 2001)
Determination of stellar parameters: the GAUDI archive Enrique Solano 1 Carlos Allende-Prieto INTA-LAEFF, Spanish-VO 2.- University of Texas, Austin,
Ground Based Observations for the ESP V-1 1.Existing data and catalogues 2.Planned observations 3.Needed observations 4.Telescopes 5.Questions Sources:
The CoRoT ground-based complementary archive The CoRoT ground-based complementary archive Monica Rainer, Ennio Poretti M. Rosa Panzera, Angelo Mistò INAF.
The Nature of the Stars Chapter 19. Parallax.
The Origins of Hot Subdwarf Stars as Illuminated by Composite- Spectrum Binaries Michele A. Stark (Penn State University) Advisor: Richard A. Wade Thursday.
Data products of GuoShouJing telescope(LAMOST) pipeline and current problems LUO LAMOST Workshop.
A Dedicated Search for Transiting Extrasolar Planets using a Doppler Survey and Photometric Follow-up A Proposal for NASA's Research Opportunities in Space.
Infrared Spectroscopy Stuart Ryder Anglo-Australian Observatory
HARPS Data Flow System Christophe Lovis Geneva Observatory HARPS-N PDR, 6-7 December 2007, Cambridge MA.
3 - Stellar Spectra. Why a slit? No slit Slit Sky Backgrounds and Telescope Nods star slit.
The planet-forming zones of disks around solar- mass stars: a CRIRES evolutionary study VLT Large Program 24 nights.
The University of Tokyo Norio Narita
Automated Fitting of High-Resolution Spectra of HAeBe stars Improving fundamental parameters Jason Grunhut Queen’s University/RMC.
MOS Data Reduction Michael Balogh University of Durham.
Characterization and selection of extrasolar planetary transit candidates Jose A. Gallardo N. P. Universidad Catolica de Chile, Santiago, Chile. Ecole.
64th International Symposium on Molecular Spectroscopy June 22 – 26, 2009 Millimeter Detection of AlO (X 2 Σ + ): Metal Oxide Chemistry in the Envelope.
First Attempt of Modelling of the COROT Main Target HD Workshop: "gamma Doradus stars in the COROT fields" /05/ Nice Mehdi – Pierre.
DEPARTMENT OF PHYSICS AND ASTRONOMY PhD Recruitment Day – 31 st Jan 2007 The unidentified FUV lines of hydrogen deficient dwarfs David Boyce M. A. Barstow,
FUSE spectroscopy of cool PG1159 Stars Elke Reiff (IAAT) Klaus Werner, Thomas Rauch (IAAT) Jeff Kruk (JHU Baltimore) Lars Koesterke (University of Texas)
Distance Indicators and Peculiar Velocities Status of the 6dFGS V-survey Lachlan Campbell, RSAA/AAO 6dFGS Workshop April 2005.
Thomas Hackman: Stellar differential rotation1 Detecting stellar differential rotation NORDITA – Solar and stellar dynamo cycles Thomas Hackman,
Stellar parameters of Be targets for Corot C. Neiner 1,2, Y.Frémat 3, A.-M. Hubert 2, M. Floquet 2, E. Janot-Pacheco 4, J. Fabregat 5, J. Zorec 6 1 RSSD,
Pisa, 4 May 2009 Alessandro Spagna A new kinematic survey (from GSC-II and SDSS-DR7) to study the stellar populations of the Milky Way Alessandro Spagna.
Competitive Science with the WHT for Nearby Unresolved Galaxies Reynier Peletier Kapteyn Astronomical Institute Groningen.
+ IGRINS spectroscopy of Class I sources, IRAS & IRAS Seokho Lee 1, Jeong-Eun Lee 1, Sunkyung Park 1, Jae-Joon Lee 2, Benjamin Kidder.
Coronal Hole recognition by He 1083 nm imaging spectroscopy O. Malanushenko (NSO) and H.P.Jones (NASA's GSFC) Tucson, Arizona, USA Solar Image Recognition.
1 Resources for Stellar Atmospheres & Spectra ATLAS Cool stars Hot stars Spectral Libraries.
Doppler imaging study of starspots and stellar non-radial pulsation using SONG network Sheng-hong Gu NAOC/Yunnan Observatory, Kunming, China
Resources for Stellar Atmospheres & Spectra
NIRSpec simulation data-package
Spectrally-polarized features of ε Aurigae: In and out of eclipse
Integral Field Spectroscopy
UVIS Calibration Update
Gaia Tomaž Zwitter Gaia: > 1.1 billion objects (V ≤ 20.9),
UVIS Calibration Update
Spectroscopy Workshop
The University of Tokyo Norio Narita
Presentation transcript:

Fuerteventura, Spain – May 25, 2013 Physical parameters of a sample of M dwarfs from high- resolution near-infrared spectra Carlos del Burgo Collaborators: J. T. Vila (UNINOVA) E. L. Martín, M. R. Zapatero Osorio (CAB) S. Witte, Ch. Helling, P. Hauschildt (Hamburg Sternwarte) R. Deshpande (UCF)

Contents O Observations O Data Reduction O Synthetic models O Preparation of the data O Analysis and Results O Conclusions

NIRSPEC program Targets: 36 late-M dwarfs of magnitudes 7.16 < J < and spectral types M5 – M9.5 (Phan-Bao N., et al., 2003, A&A, 401, 959) Dates: 2007 April 30 th, June 24 th – June 25 th, October 25 th – October 26 th and December 23 rd – 24 th Instrumentation: NIRSPEC spectrograph, KECK II telescope (Hawaii, USA) Spectral range: ten/eleven orders in the J-band Resolving power: 22,000 Observations

Data Reduction I ECHELLE/IRAF Spectra were got at 2 different positions along the slit Nodded images were taken to remove sky background and dark signal Flat-fielding using white light spectra Spectral calibration using arc line Ar, Kr, Xe + NIST database (line identification): rms ~ Km/s Telluric atmospheric correction using A0-A2 stars Details in Zapatero-Osorio et al. 2006, ApJ, 647, 1405

Desphande et al. 2012

Zapatero Osorio et al Data Reduction II

Some reduced spectra

Deshpande et al. 2012

1. Drift-PHOENIX code (for T eff < 3000 K) is a merger of the general purpose stellar atmosphere code PHOENIX (Hauschildt & Baron 1999) and the dust model Drift ( Helling et al. 2008). The dust grains are composites and yield improved opacities in contrast to the grains in earlier models 2. PHOENIX version 16 (for T eff > 3000 K) includes a number of improvements compared to previous versions, such as a complete new equation of state for ions, molecules and condensation (ACES; Barman et al. 2011), updated opacity databases, and improved line profiles for atomic lines Synthetic models I

Synthetic models II Flow chart of Drift-PhoenixDust formation mechanism

M-L and L-T transitions Drift PHOENIX

M dwarf models M5 M3.5 M2 M1 M0 PHOENIX v16

1.Transformation to take into account the projected rotational velocity (v rot sini) of the objects using the formalism of Gray ( Gray D. F., 1992, “The Observations and Analysis of Stellar Photospheres”, Cambridge University Press, 2nd. ed. ) 2. Convolution with a Gaussian that mimics the instrumental profile along the dispersion axis. 3. Spectra were finally rebinned to the same resolution of the observations 4. Modelled spectra are normalized over the wavelength range corresponding to order 61 Preparation of the data I

Preparation of the data II A grid of synthetic models was generated: v rot sini: 0 to 75 Km s −1, steps of 1-2 Km s −1, T eff : 1000 and 4000 K with steps of 100 K, and logg: 3.5 and 5.5 (cgs) with steps of 0.5 dex Observed spectra were moved to vacuum wavelengths for a proper comparison with the theoretical models. This was done from a cross-correlation analysis with each individual synthetic spectra that allow us to determine RVs

Complementary data 2MASS J, H and Ks and WISE W1, W2, and W3 photometric bands Cross-correlation of the two catalogs SEDs and fit to the France Allard last generation of models available in VOSA, which routines were used to perform the fits of photometric data to those models

In order to constrain the number of possible solutions provided by our large set of models, the root-mean- square RMS (v rad, v rot sini, T eff, log g) is obtained for each model. The best model is that with the minimum RMS For a detailed description see del Burgo et al Analysis: observations vr models

M5.5 - J M9.5 - J M8.5 - J M6.0 - GJ406M5.0 - GJ1156 M8.0 - J M7.0 - J Just a few examples for order 64

J M5.5 Average T eff =3000 K logg = 5.1 [cgs] vsini = 37 Km/s Vsini= 40, 33 Km/s

J M7.5 Order 64 T eff =2800 K logg = 5.5 [cgs] vsini = 22 Km/s Order 60 T eff =2300 K logg = 4.5 [cgs] vsini = 25 Km/s Order 57 T eff =3000 K logg = 5.0 [cgs] vsini = 25 Km/s

2MJ M9.5 Order 64 T eff =2700 K logg = 5.5 [cgs] vsini = 30 Km/s Order 60 T eff =2100 K logg = 4.5 [cgs] vsini = 31 Km/s Order 56 T eff =2800 K logg = 4.5 [cgs] vsini = 20 Km/s

Conclusions Effective temperatures obtained by means of the fits of stellar atmosphere models to i) J-band spectroscopy (R=22,000) and ii) near-infrared photometry show significant differences. New improvements in stellar atmosphere models are required for cool dwarfs