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Probing the evolution of stellar systems

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Probing the evolution of stellar systems. Andreas Zezas. Harvard-Smithsonian ... Incompleteness. Multiple populations. Uncertainties on isochrones. CMDs: complications ... – PowerPoint PPT presentation

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Title: Probing the evolution of stellar systems


1
Probing the evolution of stellar systems
  • Andreas Zezas
  • Harvard-Smithsonian
  • Center for Astrophysics

2
The lives of stars fighting against gravity
  • Defining parameter
  • Mass
  • To avoid implosion stars must generate energy
    from fusion reactions
  • The stages of stars are determined by the type of
    fuel left
  • hydrogen, helium, carbon etc

3
The complicated lives of stars
but, after some time they run out of fuel
White dwarf (8 M?)
Supernova (8 M?)
4
Basic tool Photometry
5
Basic tool Photometry
6
(No Transcript)
7
Horizontal Branch
Red Giant Branch
Main Sequence
8
CMDs Simple cases
9
The tools Stellar Tracks
(ltmgt age, Mass, Z, stellar evolution)
10
The tools Isochrones
The tools Isochrones
11
The tools Isochrones
12
The tools Isochrones
13
The recipe
  • Assume a star-formation scenario (model)
  • Take some isochrones (calibration)
  • Weight them by the IMF N ? M-?
  • Mix them
  • Simulate (include observational biases)
  • Compare with observed CMD

14
Analogy with X-rays
  • Isochrones ? RMF
  • Detection probability ? ARF

15
The standard method
16
The standard method
17
The standard method
18
The standard method
19

Complications
  • Incompleteness
  • Multiple populations
  • Uncertainties on isochrones

20
CMDs complications
21

CMDs complications
22
CMDs complications
23
CMDs more complications
Detection probability
24
Problems with standard method
  • Gaussian statistics (as usually)
  • ?2 fits
  • All stars have equal weight
  • Complex mixture problem with several free
    correlated parameters
  • Several different sets of isochrones

25
The link with cal. uncertainties
26
A new method
  • Estimate the likelihood that each data point
    comes from a given isochrone
  • Find the likelihood for all points
  • Advantages
  • Easily generalized to n-dimensions
  • Easily estimate effect of different isochrones
  • Proper statistical treatment of uncertainties
  • Can include correlated uncertainties and data
    augmentation for missing data
  • Can treat as mixture problem

27
The test case The SMC
28
The test case
  • Nearby galaxy (60 kpc)
  • Recent star-formation (a bit complex)
  • but can observe very deep and set good
    constraints
  • on star-formation
  • also can obtain additional constrains from
    spectroscopy
  • .useful for testing the results and setting
    priors
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