the experience of best heike rauer and the best team institut für planetenforschung deutsches...
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The experience of BEST
Heike Rauer and the BEST Team
Institut für Planetenforschung
Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)
and
Zentrum für Astronomie und Astrophysik
Technische Universität Berlin
+
The experience of BEST
Berlin Exoplanet Search Telescope SystemBerlin Exoplanet Search Telescope System
Goals of BEST: - support for CoRoT
- detect large planets
- variable stars, additional science
Berlin Exoplanet Search Telescope
Specifications:
Telescope Schmidt-CassegrainAperture 20 cmFocal ratio f/2.7InstrumentAP-10 CCD Size 2048 x 2048 pixelsPixel size 14 µmPixel scale 5.5 arcsec/pixelField of view 3.1° x 3.1°
2001 - 2004 Thüringer LandessternwarteTautenburg (TLS), Germany
Since end 2004 Observatoire de Haute Provence (OHP), France
BEST I
BEST II
TEST at TLS
Observatorio Cerro Armazones, Chile
Instituto de Astronomía - Universidad Católica del Norte (UCN) in Antofagasta, Chile
Astronomisches Institut- Ruhr-Universität Bochum (RUB), Germany.
BEST II
Specifications:Telescope BRC - 250Aperture 25 cmFocal ratio f/5.0InstrumentFLI IMG-1680 CCD Size 4096 x 4096 pixelsPixel size 9 µmPixel scale 1.5 arcsec/pixelField of view 1.7° x 1.7°Precision < 1% V=15-16
smaller FoV for BEST II is compensated by less stars influenced by crowding
Modes of operation
• BEST I at TLS:
- obervations by observer at TLS
- data reduction at DLR
• BEST I at OHP:
- observations via remote control from Berlin
- data reduction at DLR
• BEST II at OCA
- „robotic“ observations (regular remote monitoring, manual interaction in case of alarm)
- basic calibration at OCA, full data reduction at DLR
Performance
The two critical factors for a transit search system are:
1. High duty cycle: full coverage of planetary orbits by
observations.
2. Large number of high quality lightcurves (e.g. rms < 1%).
Duty cycle
Need: High duty cycle, full coverage of planetary orbits by
observations of sufficient quality.
BEST experience: duty cycle is the major limiting factor from
central Europe (not a surprise ). Next:
place BEST II at OCA, Chile
start building a network (NEST)
participate to ASTEP
Performance
The two critical factors for a transit search system are:
1. High duty cycle, full coverage of planetary orbits by
observations
2. Large number of high quality lightcurves (e.g. rms < 1%)
- correction for detector effects (dark, bias, flats, hot/cold/defect pixels,…)
- correction of atmosphere (extinction, seeing, scientillation, …)
- accurate photometry (aperture/image subtraction/PSF fitting, crowding)
For example: a star moves across a hot pixel during the night due to imperfect guiding of the telescope….
Detector effects
Causes transit-like signal which has to be evaluated by comparison with the original data.
adds work-load on transit candidate evaluation
Correction for detector effects (dark, bias, flats, hot/cold/defect pixels,…)
- Low-quality CCD: need to check transit events for detector
effects, check position of the star on CCD
- varying bias, dark, etc., adds to systematic noise residuals
Recommendation:
buy good h/w
adapt the observing sequence to calibration needs
Detector effects
Atmosphere effects
Correction of atmosphere (extinction, seeing, scintillation, …)
- Airmass correction is critical (no filter, large FOV)
restriction in airmass, depending on site and target field
adapt reduction method, e.g. work on sub-fields
implement filter if possible
- Effect of seeing variations on crowding
Photometry
Accurate photometry (aperture/image subtraction/PSF fitting, crowding)
- Crowding can be a major problem
improve photometric method (image subtraction ok)
match the pixel scale of h/w
B.E.S.T. Candidate 3
BEST Magnitude of host star 12.1Depth [%] 2.5Duration [h] 3.0Orbital period [d] 423.10/nNumber of detections 2
BEST POSS-I
depth [%] 1.0duration [h] 4.5 orbital period [d] > 10 ?semi mayor axis[AU] ?number of detections 1target field No. 8host star M dwarfmagnitude(BEST)12.56V magnitude 14.73
BEST 18.3‘ x 18.3‘
reference star
BEST candidate 5
Crowded target fields lead to further reduction of the photometric accuracy
The photometric data reduction algorithm needs to be adopted.
a) diluted signals
- neighboring stars are resolved
- but a neighbor contributes flux within the PSF or photometric aperture
b) unresolved stars
- neighboring stars are not resolved
c) a combination of a) and b)
- due to varying seeing the resolution of stars changes over the night
a transit signal is weakend
noise is added if the neighbor is variable
Comparison of Photometric methods
* Source-Extractor, SExtractor (Bertin & Arnouts 1996)Performs different kinds of aperture photometry
* Multi Object Multi Frame photometry, MOMF (Kjeldsen & Frandsen 1992) Combination of aperture and PSF photometry
* Image Subtraction, ISIS (Alard 2000)Subtraction of a convolved reference frame from all frames.
implementation of parallel approach in data pipeline (SExtractor, ISIS)
Karoff et al. 2005
TLS
SExtractor
SExtractor used in less crowded fields
a reduction routine able to deal with very crowded target fields is important
Data from 4 nights in spring 2005 obtained at OHP (COROT winter field)
Comparison of both methods for the COROT field
SExtractor
ISIS
Karoff et al. 2005
Performance of BEST I at OHP after evaluation of its first regular observing season at OHP in summer 2005.
37 nights/142 hours observations from OHP in summer 2005.
Search for variable stars and eclipsing binaries:
• 83 periodic variable stars identified: 76 new discoveries
• 11 variable stars with period < 120 days known in GCVS, 8 confirmed
variables, for 3 stars no variability found
• 37 of the variables are eclipsing binaries
BEST at OHP: Variable stars in the CoRoT center field
Karoff et al. 2006
Location of the variables in the center field
See Karoff et al. 2006
mag # Amin- Amax
[mag]
10 - <11 7 0.02-0.12
11 - <12 24 0.01-0.29
12 - <13 27 0.02-0.20
13 - <14 16 0.05-0.18
14 - <15 3 0.10-0.19
- Periodic variable stars are detected over the whole magnitude range.
- There are many more stars with high rms: real but non-periodic variables and distorted lightcurves
How complete is our search for How complete is our search for variables from OHP?variables from OHP?
Number of detected eclipsing binaries as a function of period
Eclipsing binaries in Hipparcos data
Söderhjelm & Dischler 2005
Eclipsing binaries in BEST observations
The BEST survey is complete only up to 10 – 20% for
periods > 1 day.
But: we have indications that the detection algorithm for periodic variables is not perfect…
Karoff et al. 2006
Strong points:
Simple robust system with good capability for long-term photometric surveys of a substantial number of stars
Well suited to catalog bright stars in the COROT fields
Demonstrated ability to reach the accuracy limit needed to discover Jupiter-sized planets
Cost efficient way to characterize stellar variability over long time periods
Weak point:
Transit detections limited by crowding and duty cycle (i.e. to few nights and/or to few stars)
BEST – basic lessons from TLS and OHP