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Probing the evolution of stellar systems Andreas Zezas Harvard-Smithsonian Center for Astrophysics
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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
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The complicated lives of stars … but, after some time they run out of fuel White dwarf (≤8 M ) Supernova (≥8 M ) Neutron star (M~1.4-3.0 M ) Black-hole (M >3.0 M )
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Basic tool : Photometry
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Main Sequence Red Giant Branch Horizontal Branch
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CMDs : Simple cases
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The tools : Stellar Tracks ( | age, Mass, Z, stellar evolution)
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The tools : Isochrones
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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
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Analogy with X-rays Isochrones RMF Detection probability ARF
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The “standard method”
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Complications Incompleteness Multiple populations Uncertainties on isochrones
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CMDs: complications
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CMDs: more complications Detection probability
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Gaussian statistics (as usually…) 2 fits All stars have equal weight Complex mixture problem with several free correlated parameters Several different sets of isochrones Problems with standard method
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The link with cal. uncertainties
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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 A new method
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The test case : The SMC
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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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