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

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Discussion Overview

The discussion revolves around the purpose and implications of cosmological simulations in understanding dark matter, particularly in the context of their ability to reproduce observations and their predictive power regarding dark matter properties. Participants explore the theoretical and practical significance of these simulations in cosmology and structure formation.

Discussion Character

  • Exploratory
  • Debate/contested
  • Technical explanation

Main Points Raised

  • One participant questions the real purpose of cosmological simulations, noting that while they reproduce large scale structures and properties, they seem limited in making predictions about dark matter particle characteristics due to computational constraints.
  • Another participant suggests that simulations are crucial for verifying models and theories, emphasizing that reproducing results compatible with observations is a significant aspect of scientific validation.
  • A different viewpoint is presented that challenges the notion that simulations cannot predict dark matter properties, proposing that simulations include parameters that relate to the real universe.
  • One participant mentions that while simulations have improved in accuracy, the fundamental model has remained relatively fixed for decades, raising questions about the predictive capabilities of current simulations.
  • Another participant highlights the utility of simulations in understanding structure formation, suggesting that discrepancies between simulation predictions and observational data can help refine models of the universe.

Areas of Agreement / Disagreement

Participants express differing views on the predictive power of cosmological simulations and their overall purpose. There is no consensus on the limitations or capabilities of these simulations, indicating an ongoing debate about their role in cosmology.

Contextual Notes

Participants note limitations related to computational constraints affecting the representation of dark matter particles and the fixed nature of models over time, which may impact the predictions made by simulations.

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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