What is the purpose of cosmological simulations in understanding dark matter?

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SUMMARY

The purpose of cosmological simulations, particularly in the context of cold dark matter, is to verify and refine theoretical models of the universe by reproducing large-scale structures and properties such as velocity curves and the Tully-Fisher relation. These simulations serve as a critical tool for scientists to assess the accuracy of existing models against observational data. While limitations exist, such as the inability to predict specific properties of dark matter particles due to computational constraints, simulations can still provide insights into structure formation and help identify flaws in theoretical models when discrepancies arise between predicted and observed galaxy counts.

PREREQUISITES
  • Understanding of cold dark matter physics
  • Familiarity with numerical simulation techniques
  • Knowledge of cosmological models and theories
  • Basic grasp of observational astronomy and galaxy formation
NEXT STEPS
  • Explore advanced numerical simulation tools for cosmology, such as GADGET or RAMSES
  • Investigate the Tully-Fisher relation and its implications for galaxy dynamics
  • Study the impact of redshift on galaxy formation and evolution
  • Learn about the limitations of current dark matter models and potential alternatives
USEFUL FOR

Undergraduate and graduate students in astrophysics, cosmologists, and researchers interested in the theoretical underpinnings of dark matter and structure formation in the universe.

Silviu
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Hello! i am an undergraduate and I started working with a professor doing numerical simulation of cold dark matter. I understand (more or less) the physics behind and the results are very close to observations, which is a good support for the existence of dark matter. However, I can't see the real purpose of cosmological simulations in general (as I am thinking whether should I do this for graduate school or not). Like, yes they reproduce large scale structure and important properties (velocity curve, Tully-Fisher relation, etc.), but other than reproducing observations, what can you actually do. The thing is that a "particle" of dark matter has several millions of solar masses (due to computation limitation) so you definitely can't make predictions about the type of particle we should look for (like mass, whether or not they interact weakly, etc.), for example. So what is the real goal of a physicist doing cosmological simulations? Thank you!
 
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Silviu said:
However, I can't see the real purpose of cosmological simulations in general (as I am thinking whether should I do this for graduate school or not). Like, yes they reproduce large scale structure and important properties (velocity curve, Tully-Fisher relation, etc.), but other than reproducing observations, what can you actually do. The thing is that a "particle" of dark matter has several millions of solar masses (due to computation limitation) so you definitely can't make predictions about the type of particle we should look for (like mass, whether or not they interact weakly, etc.), for example. So what is the real goal of a physicist doing cosmological simulations?

I'm not a cosmologist, but I would think that these simulations allow scientists to verify that certain models and theories are accurate. And this is a very important part of science. We have to be able to make suitable, accurate models in order to verify that the rules of the underlying theory are correct. If you make a simulation that reproduces results compatible with our observations then that tells you something very different than if your results are wildly different from observations.

Also, I'm not sure I agree that you can't make predictions about the different properties of dark matter. Surely your simulation has some kind of parameter for your dark matter particles that relates, in some way, to the real universe, doesn't it?
 
Drakkith said:
I'm not a cosmologist, but I would think that these simulations allow scientists to verify that certain models and theories are accurate. And this is a very important part of science. We have to be able to make suitable, accurate models in order to verify that the rules of the underlying theory are correct. If you make a simulation that reproduces results compatible with our observations then that tells you something very different than if your results are wildly different from observations.

Also, I'm not sure I agree that you can't make predictions about the different properties of dark matter. Surely your simulation has some kind of parameter for your dark matter particles that relates, in some way, to the real universe, doesn't it?
My point was, you simulate large scale so you can get properties at that level. And the model is more or less fixed for few tens of years, lately the simulation just increased the accuracy due to the computer powers but I am not sure what prediction can one make using simulations at this level of accuracy.
 
Silviu said:
Hello! i am an undergraduate and I started working with a professor doing numerical simulation of cold dark matter. I understand (more or less) the physics behind and the results are very close to observations, which is a good support for the existence of dark matter. However, I can't see the real purpose of cosmological simulations in general (as I am thinking whether should I do this for graduate school or not). Like, yes they reproduce large scale structure and important properties (velocity curve, Tully-Fisher relation, etc.), but other than reproducing observations, what can you actually do. The thing is that a "particle" of dark matter has several millions of solar masses (due to computation limitation) so you definitely can't make predictions about the type of particle we should look for (like mass, whether or not they interact weakly, etc.), for example. So what is the real goal of a physicist doing cosmological simulations? Thank you!
I've seen these sorts of simulations used most frequently in terms of understanding structure formation. The precise details of how compact structures like galaxies and galaxy clusters form can only be tackled with simulations.

This sort of thing can potentially be useful in terms of using counts of galaxies with certain properties as a means to rule out certain models. For example, if a simulation predicts almost no large galaxies beyond, say, a redshift of ten, but we observe thousands of them, then that means that simulation has a flaw. Ideally, if the simulation is done well, the discrepancy can be tied to a different physical model of the universe.
 
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