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Dispersed Fixed-Delay Interferometry and its Application in SDSS-III MARVELS. Brian Lee, for the MARVELS collaboration, Aug. 31, 2011. Lots of early SDSS-III MARVELS collaborators- (list still growing!). Principal investigator: Jian Ge (UF) Survey scientist: Scott Gaudi (OSU) - PowerPoint PPT Presentation
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Dispersed Fixed-Delay Interferometry and its
Application in SDSS-III MARVELS
Dispersed Fixed-Delay Interferometry and its
Application in SDSS-III MARVELS
Brian Lee,for the MARVELS collaboration,Aug. 31, 2011
Lots of early SDSS-III MARVELS collaborators- (list still growing!)
Principal investigator: Jian Ge (UF)
Survey scientist: Scott Gaudi (OSU)
Science Team Chair: Keivan Stassun (VU)
Instrument scientist: Xiaoke Wan (UF)
SWG coordinator : Eric Agol (UW)
Data coordinator: Brian Lee (UF)
Basic physics of Dispersed Fixed-Delay Interferometry
(DFDI)
Basic physics of Dispersed Fixed-Delay Interferometry
(DFDI)
B1 B2Input light
Beamsplitter
Mirror 1
Mirror 2
MARVELS basic physics
Physical path difference: B2-B1
(DFDI Refs.: Erskine & Ge (2000), Ge et al. 2001, Erskine 2003, Ge 2002, Mosser et al. 2003, Mahadevan et al. 2008, van Eyken et al. 2010)
B1 B2Input light
Beamsplitter
Mirror 1
Mirror 2
MARVELS basic physics
Physical path difference: B2-B1 = N*lambda-> constructive interference
(DFDI Refs.: Erskine & Ge (2000), Ge et al. 2001, Erskine 2003, Ge 2002, Mosser et al. 2003, Mahadevan et al. 2008, van Eyken et al. 2010)
B1 B2Input light
Beamsplitter
Mirror 1
Mirror 2
MARVELS basic physics
Physical path difference: B2-B1 = N*lambda + 0.5*lambda-> destructive interference
(0.5*lambda of added delay)
(DFDI Refs.: Erskine & Ge (2000), Ge et al. 2001, Erskine 2003, Ge 2002, Mosser et al. 2003, Mahadevan et al. 2008, van Eyken et al. 2010)
B1 B2Input light
Beamsplitter
Mirror 1
Mirror 2
MARVELS basic physics
Tilt mirror 2 over, so path length is a function of height Y
->Intensity is now a function of height Y = fringes
Y
Y
B1 B2Input light
Beamsplitter
Mirror 1
Mirror 2
MARVELS basic physics
Now consider slightly longer wavelength of input light
Y
Y
Old lambda
New lambda
B1 B2Input light
Beamsplitter
Mirror 1
Mirror 2
MARVELS basic physics
So multiple wavelengths look like this:
Y
Y
lambda
MARVELS basic physics
Zooming out in lambda, you’d see more strongly the dependence of periodicity of interference on wavelength. We call that the “interferometer fan”:
MARVELS basic physics
m=1
m=2
m=3
m=4
Orders m are evenly spaced in y…
MARVELS basic physics
(The MARVELS instrument can only collect a small cutout from the fan, with m~13000 and 5000A~<lambda~<5700A. We typically refer to the small cutout as, “comb.”)
m=1
m=2
m=3
m=4this way to m=13000…
B1 B2Input light
Beamsplitter
Mirror 1
Mirror 2
MARVELS basic physics
(Have to add a low-resolution spectrograph so the fringes aren't all on top of each other)
Y
Spectrograph
Y
lambda
B1 B2Input light
Beamsplitter
Mirror 1
Mirror 2
MARVELS basic physics
Gradient in tilt of fringes across lambda is present, but fairly small.
Y
Spectrograph
Y
lambda
MARVELS basic physics
Y
lambda
This was for a continuum light source...
MARVELS basic physics
Y
lambda
Now multiply in a stellar source with absorption lines instead.
MARVELS basic physics
Y
lambda
Now multiply in a stellar source with absorption lines instead.
Note intersections.
MARVELS basic physics
Y
lambda
Small x shift (e.g., from RV) of stellar lines gives larger y shift in intersections (amplification higher if slope is steeper)!
Y shift
X shift
MARVELS basic physics
Y
lambda
Actual intensities follow a sinusoidal model, in theory.
Y
Inten.
Co
ntin
uu
m le
vel
Line depth
MARVELS basic physics
Y
lambda
Y
Inten.
Co
ntin
uu
m le
vel
Line depth
Okay, now what messes this up?
Slanted spectral lines…
…tilted trace apertures…
…illumination profile of the slit…
…higher order distortions (probably time-variable)…
…PSF (not necessarily constant across CCD)…
…a touch of scattered light…
…integrated onto the CCD (still assuming infinite SNR).Can you still track the intersections?
The final image: Sample full 4kx4k real data frame (ThAr lamp calib.) (60 objects give 120 spectra)
Pipeline flow: attempting to remove the optical effects
Pipeline flow: attempting to remove the optical effects
Pipeline flow- current preprocessing order (not necessarily the ideal one!)
0. Starting point (assume bias,
dark, flat already done)
1. Try to measure (using calib. lamp)
& undo trace
2. Try to measure (using calib. lamp)
& undo slant
3. Try to measure & divide out slit
illumination profile (using current image
itself)
4. Try to measure (using calib. lamp) & undo vertical distortions
5. Apply a horizontal spatial freq. filter to subtract
continuum fringes (since unaffected by star RV)
6. Trim the image down and fit a sinusoidal model to the intensity at each wavelength
Pipeline flow- intermediate data product “whirl” and RV extraction
7. Record sine fit parameters (and errors) and fluxes at each wavelength into a multi-extension FITS file (“whirl”)
Phases (radians): [ 1.3, 1.4, 6.28, 2.0]Sine amplitude/DC offset: [0.02, 0.05, 0.00001, 0.034]Normalized fluxes: [0.98, 0.56, 0.9999, 0.71]
8. For each star or calibration source to have differential radial velocity measured, choose template epoch
8a. For each other epoch, do chi-squared minimization to find best fitting velocity (x and y axes treated as separate velocity
parameters; final answer used is the y-velocity only)
10. For star exposures only, subtract off apparent lamp velocity derived from adjacent lamp exposures from the final
star velocity.
9. For star exposures only, subtract off barycentric velocity
11. Write RV’s to disk as a FITS table.
Zoom of raw MARVELS data (Tungsten lamp behind Iodine cell):
Above fringing spectrum, fully preprocessed:
MARVELS survey stats: what data are available?
MARVELS survey stats: what data are available?
Vital stats
• Site: SDSS 2.5-m Telescope (3 deg. FOV)
• Multi-object feed: 60 fibres
• Spectrograph R~10000, wavelength 500-570nm
• Interferometer operating order m~13000
• Throughput of telescope plus instrument: 2-3%
• Magnitudes surveyed: 7.6<V<12
• Stellar types F9 through K
• Up to 30% giant stars per field; similarly large % of subgiants
Data: Yrs. 1-274,040 RV points
1234 Observations
43 Fields > 18 Epochs
2,580 Total Stars
Min Epochs: 18
Max Epochs: 42
(Median: 28)
Data: Year 320,880 RV points
348 Observations
6 Fields > 18 Epochs
2,460 Total Stars
Min Epochs: 1
Max Epochs: 29
(Median: 5)
Data collection will end in year 4 with completion of a dozen spring Year 3 fields
MARVELS KEPLER overlap fields
Field RA DEC Epochs
K15 296.12 43.53 21
K4 295.69 49.90 20
K10 294.12 46.01 21
K8 281.91 43.44 26
K21 291.58 38.15 18
TRES-2 285.90 49.20 23
K7 285.05 45.20 20
KEPLER4
282.52 47.46 23
K5 291.93 48.45 21
K20 294.71 39.63 23
K14 299.64 44.87 2438
Bonus SEGUE spectra
600 spectra per Kepler field ->
R=2000, wavelength 380-920nm
Current RV performance
Current 1 month stellar RV rms scatter (rerun v001.17)- (seems okay)-300 stars (5 plates) from Oct. 2009
-Noise floor @ 10 m/s
-One-month timescales are basically okay, with rms approximately at the level of the instrument requirements
-Green squares = median phot. limits of mag. bins
-Magenta squares = median total rms of mag. bins
Current multi-month (<17 mo.) stellar RV rms scatter (rerun v001.17)-1680 stars (28 plates) from yrs. 1-2
-rms scatter ~2x the phot. limit at faint magnitudes
-Bright-end noise floor@ 50 m/s- much larger than the one-month floor
-Noise due to slowly-varying month-to-month offsets (see next slide for specific example)
-Green squares = median phot. limits of mag. bins
-Magenta squares = median 1-month total rms of mag. bins
-Blue squares = median multi-month total rms of mag. bins
Orange=giantsRed=<1.5% visib.
5 M_Jup det. thresh
1 M_Jup det. thresh
Specific example of multi-month systematic noise (400 days)-Planet-bearing RV reference star HD 68988
-RV offsets and varying background slopes between months
Current Science Current Science ProjectsProjects
Project 119 (3): MARVELS-1c (b)
Project 3: TYC 1240-945-1 (PUBLISHED)
Lee et al. 2011: MARVELS-1b discovery
msini ~ 28 Jupiter Masses, Period ~ 5.89 days.
Project 119: follow-up to Project 3
A second Coherent RV signal is present in the data
49
Project 119: The Plot Thickens (a bit)
AO image of system (courtesy Justin Crepp). Initial photometry by Ji Wang shows that the secondary is ~3.5 mags fainter in Kp and the tertiary is ~4 mags fainter
50
Project 119: Summary
•Intriguing inner signal on Brown Dwarf
•If inner signal is a planet, this would be the first example of a combined short-period BD / Planet system
•This is a very dynamically interesting system- not many stable scenarios
• 3:1 period ratio (possibly a resonance?)
• Further N-body simulations could be helpful
• Temporary “Working group” to try and understand this system
Project 87: Defringed Project 87: Defringed MARVELS spectraMARVELS spectra
Project 87: Defringed Project 87: Defringed MARVELS spectraMARVELS spectra• MARVELS resolution → MARVELS resolution →
Problems for EWs.Problems for EWs.
• Spectral indices Spectral indices →→ [Fe/H], log g, T[Fe/H], log g, Teffeff and and [[αα/Fe] (?)./Fe] (?).
• Catalogue along with 3-Catalogue along with 3-D vels. from MARVELS D vels. from MARVELS RVs and Tycho proper RVs and Tycho proper motionsmotions
• Galactic chemical and Galactic chemical and dynamical evolution in dynamical evolution in solar neighborhood?solar neighborhood?
• Statistical studies of Statistical studies of stars with and without stars with and without companions?companions?
Project 31: Statistics of binaries in MARVELS
Sample binary RV
Project 31: Statistics of binaries in MARVELS
Example binary completeness prediction for just one month of data collection (~4 epochs) @ 100 m/s err. (slice @ 0.6 solar mass primary)
Project 31: Statistics of binaries
MARVELS preliminary binary star orbit fits: eccentricity-period relation (high eccentricity fits less reliable to fit)
Project 31: Statistics of binaries
Raghavan 2010MARVELS prelim.
Project 24: Statistics of brown dwarfs in MARVELS
Project 24: Statistics of brown dwarfs in MARVELS
Grether and Lineweaver (2006)
The desert
Project 24: Filling in the Desert
Project 24: BD Temperatures
Project 24: Family Portrait
Summary
• MARVELS current RV syst. noise floor 50 m/s, but is ample to find brown dwarfs and binaries
• Broad, shallow survey strategy especially suited for finding rare objects
• Follow-up RV and AO studies often show extra complexity of objects
• Spectra can be used without the fringes for traditional analyses. Available for solar neighbourhood and Kepler.