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The White Dwarf Age of NGC 2477
Elizabeth JefferySpace Telescope Science Institute
Collaborators:Ted von Hippel, Steven DeGennaro, David van Dyk,
Nathan Steinn, W.H. Jefferys, D.E. Winget, Kurtis Williams
White Dwarf European WorkshopTübingen, Germany
August 17, 2010
A Bayesian Approach to Measuring Cluster Ages
Talk Outline
• Stellar Ages : Main Sequence and White Dwarf Ages Calibration using open clusters
• Clusters for study• Hubble Space Telescope data WD ages• New Bayesian technique analysis of clusters
Ages of Stellar PopulationsThe Question of When
• Fundamental property in astronomy
• Two main ways: • Main Sequence Isochrones vs. the White Dwarf Luminosity Function
Winget, et al. 1987
vs.
Alcaino et al. 1998
Comparing Ages in Open Star Clusters Why do both?
• Calibrate MSTO and WD ages• Why not use white dwarfs in halo globular clusters?
More difficult to observe (3 to date)
Gradually increase calibration; thoroughly understand
physics
• WDs provide independent check of MS models, and vice versa
increase understanding of both MS models have uncertainties up to 20%
between models. WD models have uncertainties up to 5% – 20%
Observing Cluster White
Dwarfs• Cluster white dwarfs are FAINT, requiring large or space-based telescopes (Hubble)
This is expensive
This is time consuming
… but it’s possible! …
• Relationship between a WD’s luminosity and cooling time (i.e., age)
• Location of the terminus of the cluster WD sequence is determined by the age
Open Clusters AgesWhite Dwarf Techniques
Simulated Cluster, 3 Gyr
0.5 Mo
0.8 Mo
Mv
Current Agreement
von Hippel 2005
NGC 3960 NGC 2660 NGC 2360
NGC 188*
* see Poster 72 by Williams, Jeffery, & For
Talk Outline
• Stellar Ages : Main Sequence and White Dwarf Ages Calibration using open clusters
• Clusters for study• Hubble Space Telescope data WD ages• New Bayesian technique analysis of clusters
Data – The Observations
HST, ACS and WFPC2: Deep observations of the white dwarfs
CTIO 1m/Y4kCam CCD : Observations of cluster turn off, giants, and upper main sequence
Data – The ObservationsField of View Comparison – NGC 2477 (WFPC2)
Data – Deep Color-Magnitude Diagrams
NGC 2477NGC 2360 NGC 2660
NGC 3960 NGC 188
Things to Note:
(1) Data go deep
(2) Cluster Main Sequence
(3) Many field stars / background galaxies
Data – Deep Color-Magnitude Diagrams
CMD Features:
(1) Cluster Main Sequence
NGC 2477
1
2
4
3
CMD Features:
(1) Cluster Main Sequence
(2) Background population
(3) Background galaxies
(4) White Dwarfs
CMD Features:
(1) Cluster Main Sequence
(2) Background population
(3) Background galaxies
(4) White Dwarfs
CMD Features:
(1) Cluster Main Sequence
(2) Background population
(3) Background galaxies
(4) White Dwarfs
Data – Deep Color-Magnitude Diagrams
NGC 2477
Fitting White Dwarf IsochronesNGC 2477
0.5 Gyr
1.5 Gyr
1.0 Gyr
Talk Outline
• Stellar Ages : Main Sequence and White Dwarf Ages Calibration using open clusters
• Clusters for study• Hubble Space Telescope data WD ages• New Bayesian technique analysis of clusters
New Machinery Using Bayesian Statistics
• Bayesian Statistics – Bayes Theorem:
Posterior α Likelihood * Prior
• Use Markov Chain Monte Carlo (MCMC) technique to numerically sample posterior probability distributions• Simultaneously fit age, distance, reddening, and
metallicity by modeling photometry.• Run with different models: DSED, Y2, Girardi
• von Hippel, T., et al. 2006, ApJ, 645, 1436
• Jeffery, E. et al. 2007, ApJ, 658, 391
• DeGennaro S. et al. 2009, ApJ, 696, 12
Data – Deep Color-Magnitude Diagrams
NGC 2477
Applying MCMC NGC 2477 Posterior Distributions
DSED (Dotter et al. 2008)
Y2 (Yi et al. 2001)
Girardi et al. (2000)
Applying MCMC NGC 2477
DSED (Dotter et al. 2008)
Y2 (Yi et al. 2001)
Girardi et al. (2000)
WD Age (Gyr) :
1.035 ± 0.054 ± 0.087
Weighted Average (“Answer”)
Error among models (“external”)
Error within models (“internal”)
MSTO Age = 1.0 Gyr (Kassis et al. 1997)
Applying MCMC NGC 2477
DSED (Dotter et al. 2008)
Y2 (Yi et al. 2001)
Girardi et al. (2000)
WD Age (Gyr) :
1.035 ± 0.054 ± 0.087
Further Power of the TechniqueComparing complete distributions
NGC 2360
MS Fit
WD Fit
A Calibration of the AgesWhere we are now
Concluding Remarks
Open clusters provide ideal environment for calibration of MS ages and WD ages, testing theory against theory
Analysis of six clusters
New Bayesian Algorithm High precision fits allows us to pin down problems in the
models Compare distributions – not just single numbers Incorporate different combinations of model ingredients,
pushing the models to their limits
Good agreement found for clusters included here
Improving Error BarsNGC 2420
von Hippel & Gilmore 2000
2 +/- 0.2 Gyr
Applying MCMC NGC 2420
Applying MCMC The Example of NGC 2420
Applying MCMC The Example of NGC 2420
1.83 +/- 0.12 Gyr
Applying MCMC The Example of NGC 2420 – MSTO
What does the best fit demonstrate?
DSED vs. Y2 isochronesAge (Gyr) 1.53 +/- 0.06 2.09 +/- 0.10
[Fe/H] +0.187 +/- 0.03 -0.109 +/- 0.03
Which is right? Compare age with the White Dwarfs
White dwarf age is 1.83 +/- 0.12 Gyr.
Age (Gyr) 1.53 +/- 0.06 2.09 +/- 0.10
[Fe/H] +0.187 +/- 0.03 -0.109 +/- 0.03
Discrepancy in age is likely caused by inadequate incorporation of metallicity in the models.
Ages from the Bright Cluster WDs Rationale of the Idea
A Test Case for the Bright White Dwarf IdeaThe Hyades White Dwarfs
DeGennaro S. von Hippel, T., Jefferys, W.H., Stein, N., van Dyk, D., & Jeffery, E., 2008, in prep
Data – Color-Magnitude Diagrams
NGC 2360 NGC 2477 NGC 2660
NGC 3960 NGC 2420 NGC 188
Data – Deep Color-Magnitude Diagrams
Things to Note:
(1) Data go deep
(2) Cluster Main Sequence
(3) Many field stars / background galaxies
NGC 2477
Data – Deep Color-Magnitude Diagrams
Things to Note:
(1) Data go deep
(2) Cluster Main Sequence
(3) Many field stars / background galaxies
NGC 2660
Data – Deep Color-Magnitude Diagrams
Things to Note:
(1) Data go deep
(2) Cluster Main Sequence
(3) Many field stars / background galaxies
NGC 188
Fitting White Dwarf Isochrones
NGC 2477NGC 2360 NGC 2660
NGC 3960 NGC 188