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High-resolution Spectroscopy of CARMENCITA objects · 2015. 12. 22. · Aims of the Analysis and...
Transcript of High-resolution Spectroscopy of CARMENCITA objects · 2015. 12. 22. · Aims of the Analysis and...
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Patrick Schöfer – 2015-10-22
High-resolution Spectroscopy of CARMENCITA objects
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Overview Motivation
Aims of the analysis and data sample
Prelude I: Data reduction
Prelude II: Target identification
Analysis and results: Radial velocity
Spectral type
Activity
Summary
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Motivation What is CARMENCITA?
• CARMENES Cool dwarf
Information and daTa Archive
• CARMENES input catalog
[http://hades.fis.ucm.es/
carmencita/db.php]
What is CARMENES? • Calar Alto high-Resolution search for M dwarfs with
Exoearths with Near-infrared and optical Échelle
Spectrographs
• German-Spanish collaboration
[http://carmenes.caha.es/]
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Motivation Radial velocity method:
planet and star moving around center of mass
different Doppler shifts visible in spectrum
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Motivation radial velocity semi-amplitude K:
Earth around Sun: K = 0.09 m s-1
below current detection limit
planet with MP = 2 M⊕ in liquid water zone of
M5 dwarf (T = 3050 K, M⋆ = 0.2 M⊙): K = 1 m s-1
RV method requires high-precision radial velocity
measurements
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Motivation Limitations set by the telescope:
only stars with declination δ > -23° observable
J magnitude < 11.5 mag (lower for earlier types)
Limitations set by the method:
no close binary stars (additional RV variation)
no active stars (artificial RV variations caused by
starspots, broad lines due to fast rotation)
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Aims of the Analysis and Data Sample
measure radial velocities to find expectation values
and large variations (binaries)
find active stars using the Hα line as activity indicator
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Aims of the Analysis and Data Sample
1700 spectra
521 stars (480 CARMENCITA objects)
3 spectrographs (CAFE, FEROS, HRS)
85 stars observed with two spectrographs
Telescope Res. Power
R
λ Range
[Å] # Spectra
CAFE 2.2 m Calar Alto 62,000 3960:9500 903
FEROS 2.2 m ESO, La Silla 48,000 3600:9200 640
HRS 9.2 m HET, Texas 60,000 4200:11000 157
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Prelude I: Data Reduction
2D échelle spectrum
1D merged spectrum
elimination of
instrumental effects
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Prelude I: Data Reduction 256 CAFE spectra in raw format
REDUCE (Piskunov & Valenti, 2002)
basic image processing
order tracing in flatfield
need to increase contrast
FOX (Zechmeister et al., 2014)
wavelength calibration
manual identification of first lines
normalization using continuum of
reference star (no continuum in
M dwarf spectra)
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Prelude II: Target Identification
comparison of CAFE FITS
headers with hand-written
logs
wrong coordinates for 58
spectra
coordinates between
observed target and next
target written after
telescope started moving!
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Prelude II: Target Identification
no major problems with FEROS spectra
wrong coordinate system given in HRS FITS headers, different naming convention, but no major problems
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Prelude II: Target Identification
Other problems found:
typographical errors (usually easy to find and fix)
only Jhhmms instead of full CARMENCITA identifier
Jhhmms+DDd (ambigous in some cases)
confusion with a nearby star (noticed during analysis)
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Analysis and Results: Radial Velocity radial velocity Vr given by Doppler shift
cross-correlation of 3-5 wavelength ranges between
6200 Å and 8600 Å with a synthetic PHOENIX spectrum
Gaussian fit to most significant peak in cross-
correlation function
average of Vr corresponding to valid Gaussian fits
barycentric correction
weighted average if a star was observed more than
once
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Analysis and Results: Radial Velocity
good agreement
overall
significant outliers
are active stars
Radial velocities of 79 single stars observed with two spectrographs
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Analysis and Results: Radial Velocity
significant outliers
are spectroscopic
binaries
RMSD = 0.69 km s-1
(without binaries)
Comparison of results for non-CARMENCITA objects with literature
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Analysis and Results: Radial Velocity
Lam14: same spectra,
same method, but
erroneous barycentric
correction
New14: no trend
PMSU: accuracy
~10 km s-1
others: outliers are
active stars
Comparison of results for CARMENCITA objects with literature
Lam14: Lamert (2014); New14: Newton et al. (2014);
PMSU: Palomar/Michigan State University Survey
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Analysis and Results: Radial Velocity 11 stars with significant RV variation over time SB1 candidates
probably more in the sample, because 258 stars were observed only once
33 stars with more than one significant peak in the cross-correlation function SB2 candidates
10 new SB1, 23 new SB2 candidates
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Analysis and Results: Radial Velocity
Summary:
matching results from different spectrographs
accuracy ~ 1 km s-1
results for CARMENCITA objects more accurate than
previous work
44 spectroscopic binary candidates among
CARMENCITA objects, 33 of them new
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Analysis and Results: Spectral Type
spectral indices converted to spectral type using calibration
data from THE HAMMER (Covey et al., 2007) and linear
interpolation
average of several spectral indices sensitive for M dwarfs
(e.g., Ca I, TiO, VO)
first estimate using 3 indices
different sets of indices for early, medium and late M
dwarfs
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Analysis and Results: Spectral Type
later type stars
more interesting
more late (and
faint) targets
observed with HRS
only 14 stars later
than M5.0
Spectral type distribution of CARMENCITA objects in the sample
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Analysis and Results: Spectral Type
FEROS: trend
toward earlier types
normalization
issue?
Spectral types of 79 CARMENCITA stars observed with two spectrographs
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Analysis and Results: Spectral Type
FEROS and
FEROS+X:
trend toward earlier
types
CAFE and HRS:
no trend
only 4 stars with
difference > 1 subtype
Differences between calculated spectral types and literature
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Analysis and Results: Spectral Type
Summary:
bad results for non-CARMENCITA stars because only
spectral indices sensitive for M dwarfs were used
trend toward earlier spectral types for FEROS spectra
typical differences to literature values ≤ 1 subtype
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Analysis and Results: Activity pseudo-equivalent width of the Hα line:
negative pEW: visual check whether Hα is in emission
magnetic activity strength:
spectral type used to estimate Teff for χ(Teff)
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Analysis and Results: Activity
some significant outliers
significant differences for 42 of 362 stars observed more than once (including stars observed with one spectrograph)
possibly true variation; no correlation of variation with pEW(Hα) or SpT
pEW(Hα) of 79 CARMENCITA stars observed with two spectrographs
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Analysis and Results: Activity
higher values from
Lep13, lower values
from AF15
outliers possibly caused
by true variation
no correlation of
differences with
pEW(Hα) or SpT
Comparison of results for CARMENCITA objects with literature
AF15: Alonso-Floriano et al. (2015); Lep13: Lépine et al. (2013);
MR14: Martínez-Rodríguez (2014);
PMSU: Palomar/Michigan State University Survey
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Analysis and Results: Activity
[West et al. (2008)]
Fraction of active stars per spectral type
138 active CARMENCITA stars (29% of our sample)
increasing fraction for later spectral types
small sample of M5 or later stars
late M dwarfs are active for a longer period of time (Hawley et al., 1996)
and therefore more likely still active when observed
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Analysis and Results: Activity
activity strength
increases with spectral
type for M0.0-M4.5
(except M2.5)
few data points for SpT
earlier than M2.0 and
later than M4.5
Magnetic activity strength of individual stars and median (circles) per spectral type
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Analysis and Results: Activity
[Reiners et al. (2012)]
increasing activity related to faster rotation
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Analysis and Results: Activity
Summary:
variations of Hα emission for 42 stars, possibly true variability
29% of CARMENCITA stars identified as active
fraction of active stars and median activity strength
increase with the spectral type
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Summary
reduction of 256 CAFE spectra and analysis of 1700
CAFE, FEROS and HRS spectra of
480 CARMENCITA objects and 41 other stars
radial velocity measurements with ~1 km s-1 accuracy
33 new spectroscopic binary candidates
spectral types with 1 subtype accuracy
magnetic activity strength of 138 CARMENCITA stars
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References Alonso-Floriano, F. J., Morales, J. C., Caballero, J. A et al. 2015, A&A, 577, A128
Covey, K. R., Ivezic, Ž., Schlegel, D. et al. 2007, AJ, 134, 2398–2417
Hawley, S. L., Gizis, J. E. & Reid, I. N. 1996, AJ, 112, 2799
Lamert, A. 2014, MSc thesis, Georg-August-Universität Göttingen, Germany
Lépine, S., Hilton, E. J., Mann, A. W. et al. 2013, AJ, 145, 102
Martínez-Rodríguez, H. 2014, MSc thesis, Universidad Complutense de Madrid, Spain
Newton, E. R., Charbonneau, D., Irwin, J. et al. 2014, AJ, 147, 20
Piskunov, N. E. & Valenti, J. A. 2002, A&A, 385, 1095–1106
Quirrenbach, A., Amado, P. J., Caballero, J. A. et al. 2014, Proc. SPIE, 9147
Reid, I. N., Hawley, S. L. & Gizis, J. E. 1995, AJ, 110, 1838
Reiners, A., Joshi, N. & Goldman, B. 2012, AJ, 143, 93
West, A. A., Hawley, S. L., Bochanski, J. J. et al. 2008, AJ, 135, 785–795
Zechmeister, M., Anglada-Escudé, G. & Reiners, A. 2014, A&A, 561, A59