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Inside a typical astrochemical model

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1 Inside a typical astrochemical model
Serena Viti IFSI-CNR (Rome)

2 Preview Why bother with astrochemical models A tour inside one
Its ‘beauties’ and ‘horrors’ How to use it Improvements

3 Why astrochemistry? The universe is chemically rich
There is a large degree of diversity in a variety of interstellar and circumstellar regions There is a large degree of diversity in the same region as a function of time

4 Why do we need astrochemical models?
To represent the chemical and physical behaviour of astronomical objects To interpret astronomical data To test astronomical and chemical ideas To estimate chemical abundances of the ISM, taking into account most of the chemical and dynamical processes affecting the gas and dust.

5 Needs of an astrochemical model
Flexibility: Time dependent/Time independent Depth dependent/Single Point Gas-grain/Gas chemistry Static/Dynamic Modularity Easy to implement new experimental and theoretical input data

6 Inside a chemical model: examples of input parameters
Initial elemental abundances Initial temperature Initial density Size Radiation field Cosmic ray ionization rate Dynamical ‘switches’ Chemical species and rate file Degree of depletion

7 What does a model do? Calculates density profiles as a fn of time and space Calculates temperature structure as a fn of time and space Calculates chemical rates for all relevant reactions Calculates fractional abudances (gas-phase and solid by taking into account feeze out and desorption)

8 Inside a chemical model: examples of output parameters
Chemical abundances as a fn of time and space How the density varies with time and space Thermal balance Visual Extinction Radiation field as a fn of time and space

9 s p a c e S p a c e Time

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12 What needs to be done Form the dense clumps (gradient of densities)
This involves: depletion, surface reactions Account for the UV field from the source (time and space dependent) Account for X-ray emission

13 Example of output HCO+ abundance as a fn of time at Av ~ 3 mags

14 Its ‘beauties’ Very flexible because “ab initio”
Free to include as many species and reactions as we want/need Time-dependent Fast

15 Its ‘horrors’ (too many to list all)
Degree of freedom may be as many as the no of reactions Many rate coefficients are not experimental and/or have a large error bar Rates for surface reactions missing Surface reactions missing!

16 What we still need: Experimentally: Branching ratios
Sticking probabilites Mobilities of adsorbed species Hydrogenation on grain surfaces Desorption

17 Observations (high spectral and spatial resolution)
Laboratory Data Time and depth dependent Chemical Models Observations (high spectral and spatial resolution)

18 Conclusions Close interaction between models, observations and chemical data Full coupling of chemistry with hydrodynamics and radiative transfer Investigate a larger parameter space


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