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#1
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I am starting a project, university computer science, in which I want to
model the formation of a solar system from an initial cloud of gass/dust. In doing so I plan on using smoothed particle hydrodynamics and consider forces from mutual attraction and friction between colliding clouds of particles. I have been unable to find any good documents describing how I shoud go about calculating the friction force between two such clouds, so I post here hoping for some good references. Seeing that I come at this from a computer science background rather than from astronomy, I might as well write a little extra about my thoughts and let you tell me if I am missing some important point entirely. I have made simple tests already with a thousand particles which all attract each other through gravity. The gravity is not calculated as GMm/r^2 which goes to infinity as r goes to zero. Instead I use the smoothed version representing gravitational pull between two objects which are not points but rather clouds: GMmr/(r^2+epsilon^2)^(1.5). Here epsilon0 is a softening factor which ensures that the force inscreses as r shrinks, but only to a certain point after which the force shrinks and reaches zero at the same time as r does. Two clouds of particles do not pull each others centers when they are exactly on top of eachother. This lets the simulation run fine without having particles ejectes when they collide. First extra question is if it, considering it is compressible gass, is correct to let a number of particles become one in that they have same velocity vector and position. They have grown into one larger cloud. It seems correct to me. Calculating for example the density of the space occupied by two such collided clouds will show it to be double of one cloud and the gravitational pull is also double. Any thoughts on that? Second extra question is if it will be correct to model a particles friction against other gass by calculating the average velocity vector of the other gass in the continium and its density and then simply calculate friction based on delte velocity and density and decelerate the paricle based on this. After changing velocity the change in energy could then, based on mass and density, be converted into heat and thereby updating the heat in the simulation. Any references, pointers, hints ect. will be greatly appresiated since I have had a hard time finding good info on this subject. Though SPH started out doing exactly what I am trying, it seems 99% of the texts dealing with it now are all about simulating water. |
#2
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On Apr 18, 1:11*pm, "Joe Taicoon" wrote:
I am starting a project, university computer science, in which I want to model the formation of a solar system from an initial cloud of gass/dust. In doing so I plan on using smoothed particle hydrodynamics and consider forces from mutual attraction and friction between colliding clouds of particles. I have been unable to find any good documents describing how I shoud go about calculating the friction force between two such clouds, so I post here hoping for some good references. Seeing that I come at this from a computer science background rather than from astronomy, I might as well write a little extra about my thoughts and let you tell me if I am missing some important point entirely. I have made simple tests already with a thousand particles which all attract each other through gravity. The gravity is not calculated as GMm/r^2 which goes to infinity as r goes to zero. Instead I use the smoothed version representing gravitational pull between two objects which are not points but rather clouds: GMmr/(r^2+epsilon^2)^(1.5). Here epsilon0 is a softening factor which ensures that the force inscreses as r shrinks, but only to a certain point after which the force shrinks and reaches zero at the same time as r does. Two clouds of particles do not pull each others centers when they are exactly on top of eachother. This lets the simulation run fine without having particles ejectes when they collide. First extra question is if it, considering it is compressible gass, is correct to let a number of particles become one in that they have same velocity vector and position. They have grown into one larger cloud. It seems correct to me. Calculating for example the density of the space occupied by two such collided clouds will show it to be double of one cloud and the gravitational pull is also double. Any thoughts on that? Second extra question is if it will be correct to model a particles friction against other gass by calculating the average velocity vector of the other gass in the continium and its density and then simply calculate friction based on delte velocity and density and decelerate the paricle based on this. After changing velocity the change in energy could then, based on mass and density, be converted into heat and thereby updating the heat in the simulation. Any references, pointers, hints ect. will be greatly appresiated since I have had a hard time finding good info on this subject. Though SPH started out doing exactly what I am trying, it seems 99% of the texts dealing with it now are all about simulating water. As far as I know, the velocity of a supernova shockwave that's migrating through a sufficiently dense molecular cloud of mostly hydrogen, usually doesn't exceed 0.1c, and I don't believe that singular event alone is sufficient to start the stellar creation process. What public funded supercomputer do you have access to? Computer simulations should more than do the trick, although don't expect much constructive help from within Usenet/newsgroups (aka Google Groups). ~ BG |
#3
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In article ,
"Joe Taicoon" writes: I am starting a project, university computer science, in which I want to model the formation of a solar system from an initial cloud of gass/dust. People have been constructing star formation models since the 1960's at least, and it is still a subject of very active research. One paper I just happened to find in a quick search is by Banerjee & Pudritz (2006 ApJ 641, 949). One key sentence from the Abstract reads "Here we report on our three-dimensional, adaptive mesh, magnetohydrodynamic simulations of collapsing, rotating, magnetized Bonnor-Ebert spheres, whose properties are taken directly from observations." This will give some idea of the state of the art in this field. Of course if all you want is an interesting computer science project, it doesn't have to be useful for current research. In doing so I plan on using smoothed particle hydrodynamics and consider forces from mutual attraction and friction between colliding clouds of particles. This (and much of the rest of your message) sounds much closer to galaxy collisions than star formation. That is, if anything, an even more active "industry" today than star formation modelling. As an example of the sort of thing that might make a good project, Antunes & Wallin (2007 ApJ 670, 261) constructed a model of a specific pair of interacting galaxies. An extract of their Abstract reads "In N-body/smoothed particle hydrodynamics (SPH) simulations of AM 0644-741, we recreate the star formation features, as well as the underlying kinematics." In other words, they are modelling separately stars, gas, and (probably) dark matter, and they are superposing on their model some prescription for how many stars form at a given gas density. This is a very simple project by today's standards. I have been unable to find any good documents describing how I shoud go about calculating the friction force between two such clouds, so I post here hoping for some good references. The classic paper on the subject is by Toomre & Toomre (1972 ApJ 178, 623). For more, you can do an ADS search either for papers citing that one or for Abstract keywords. (ADS is at http://adsabs.harvard.edu , and I think there's a mirror site in Europe.) .... This lets the simulation run fine without having particles ejectes when they collide. The "softened" potential is important, but particles are ejected in real galaxy collisions. Though SPH started out doing exactly what I am trying, it seems 99% of the texts dealing with it now are all about simulating water. The astronomy literature on the subject is vast. ADS can help you navigate it, but you would be better off consulting an expert in the field. You might look at author affiliations on recent papers and see whether any authors are near you. Or go ask at the astronomy department if your university has one. If not, you check whether someone in the physics department is doing astrophysics. Good luck with your project. -- Steve Willner Phone 617-495-7123 Cambridge, MA 02138 USA (Please email your reply if you want to be sure I see it; include a valid Reply-To address to receive an acknowledgement. Commercial email may be sent to your ISP.) |
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People have been constructing star formation models since the 1960's
at least, and it is still a subject of very active research. One paper I just happened to find in a quick search is by Banerjee & Pudritz (2006 ApJ 641, 949). One key sentence from the Abstract reads "Here we report on our three-dimensional, adaptive mesh, magnetohydrodynamic simulations of collapsing, rotating, magnetized Bonnor-Ebert spheres, whose properties are taken directly from observations." This will give some idea of the state of the art in this field. Yas, I have also seen models from the danish Niels Bohr Institute now, which are impressive. Aparently now the models are at a place where they match observations perfectly. Is the term adaptive mesh also used for SPH, or do they in fact reconstruct a tetrahedron mesh continously, and in that case, why? Of course if all you want is an interesting computer science project, it doesn't have to be useful for current research. It is reallyjust an interesting computer science project. In general people tend to simulate water and I thought it would be interesting to move away from that and simulate nbody with the different considerations needed :-) This (and much of the rest of your message) sounds much closer to galaxy collisions than star formation. That is, if anything, an even more active "industry" today than star formation modelling. As an example of the sort of thing that might make a good project, Antunes & Wallin (2007 ApJ 670, 261) constructed a model of a specific pair of interacting galaxies. An extract of their Abstract reads "In N-body/smoothed particle hydrodynamics (SPH) simulations of AM 0644-741, we recreate the star formation features, as well as the underlying kinematics." In other words, they are modelling separately stars, gas, and (probably) dark matter, and they are superposing on their model some prescription for how many stars form at a given gas density. This is a very simple project by today's standards. Interesting. So they do not simulate the starformation as such but rather the gas and then they impose some expectations about starbirth... that seems managable. I was aware that for a plausible starbirth simulation I would probably need to take quite a few extra factors into account. I will look at the reference. The classic paper on the subject is by Toomre & Toomre (1972 ApJ 178, 623). For more, you can do an ADS search either for papers citing that one or for Abstract keywords. (ADS is at http://adsabs.harvard.edu , and I think there's a mirror site in Europe.) Thanks! The "softened" potential is important, but particles are ejected in real galaxy collisions. Yes, I realize that ejection is not an error in itself. The ejection I was thinking about was the result of large timesteps in the integration combined with very close passages of point masses. That will create ejections even for a 2-body system. Or go ask at the astronomy department if your university has one. If not, you check whether someone in the physics department is doing astrophysics. Good idea. We have astronomy somewhere here. I should probably go talk with them about the relevant factors to include in the model as well as things such as support radius and good particle size etc for this kind of simulation. Good luck with your project. Thanks :-) |
#5
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In article ,
"Joe Taicoon" writes: Aparently now the models are at a place where they match observations perfectly. That may be going a little far :-), though I'm far from an expert on this subject. Models are certainly good enough to be compared with observations, and no doubt in some cases they match well. Is the term adaptive mesh also used for SPH, or do they in fact reconstruct a tetrahedron mesh continously, and in that case, why? No idea; sorry. It is really just an interesting computer science project. One way to proceed might be something like: 1. Duplicate the classic Toomre & Toomre result using their exact method as closely as possible. 2. Increase the number of mass points and investigate how the computing time changes and whether the result is different. (I don't think it should be.) 3. Perform the same calculation using a modern method (perhaps SPH) and see whether the result differs and how the computing time compares. Obviously this is only one of a great many possibilities; I have no idea how closely it might fit your needs. As for simulating the Moon-creating collision, which you mentioned in another message: I'd think you would need some way to model solid- body forces, but I don't have a good understanding of such models. So they do not simulate the starformation as such but rather the gas and then they impose some expectations about starbirth Right. Modelling the details of the collapse of each individual molecular cloud is far too hard for a galaxy-collision simulation. In fact, it's a hard problem just on its own because a cloud collapse model has to take account of chemistry, radiative transfer, and magnetic fields, not just gravity. You might get better responses at sci.astro.research. As you have no doubt noticed, there is a huge amount of nonsense in the unmoderated sci.astro group. -- Steve Willner Phone 617-495-7123 Cambridge, MA 02138 USA (Please email your reply if you want to be sure I see it; include a valid Reply-To address to receive an acknowledgement. Commercial email may be sent to your ISP.) |
#6
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One way to proceed might be something like:
1. Duplicate the classic Toomre & Toomre result using their exact method as closely as possible. 2. Increase the number of mass points and investigate how the computing time changes and whether the result is different. (I don't think it should be.) 3. Perform the same calculation using a modern method (perhaps SPH) and see whether the result differs and how the computing time compares. This is Taicoon again from different account. Thanks for your insight. I read the article and it does hold quite a lot of details so I might try duplicating the results to some degree. I do think however that there might be a little too much astronomy in the project for me, seing that I need to focus somewhat more on the computer science part of it, so I was hoping for an model of astronomical phenomena which was in itself simple, but which were perhaps hard to implement and test numerically. I now realize that it was incredible naive of me to think that star formation would fit that description. As for simulating the Moon-creating collision, which you mentioned in another message: I'd think you would need some way to model solid- body forces, but I don't have a good understanding of such models. That is luckily something I do have some experience in. In general, when modelling high velocity impacts, using SPH you consider the solid a fluid. I would consider the gigantic impact into the proto earth as high velocity... into a soft object even. Besides, would you not in general consider even Earth today as a soft object? Gently placing a big asteoroid on the surface of Earth would, I would imagine, cause it to sink into the Earth untill it "floats". You might get better responses at sci.astro.research. As you have no doubt noticed, there is a huge amount of nonsense in the unmoderated sci.astro group. I will do that as soon as I have something concrete to ask again. I now see how very vague I was in here so thanks a lot for your helpfullness :-) |
#7
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In article ,
"Jason Who" wrote: snip I do think however that there might be a little too much astronomy in the project for me, seing that I need to focus somewhat more on the computer science part of it, so I was hoping for an model of astronomical phenomena which was in itself simple, but which were perhaps hard to implement and test numerically. You may be interested in the MilkyWay@home project at Rensselaer Polytechnic, New York: http://milkyway.cs.rpi.edu/milkyway/ They're collaborating with volunteers on the programming, so their (GPL'd) source code is available -- there should be a link in a message from an administrator somewhere in the forums. -- Odysseus |
#8
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You may be interested in the MilkyWay@home project at Rensselaer
Polytechnic, New York: http://milkyway.cs.rpi.edu/milkyway/ That does look interesting. I will take a closer look soon. |
#9
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In article ,
"Jason Who" writes: ...I was hoping for an model of astronomical phenomena which was in itself simple, but which were perhaps hard to implement and test numerically. Not easy to find, I'm afraid. Not all astronomers are bad programmers. :-) I wonder whether there's something to be done in N-body work simulating the long-term stability of the solar system. That was popular about 15 years ago, but I haven't seen anything lately. One group even constructed a special-purpose computer, the "digital orrery." I don't know whether this area could turn into a project, but there may be something to consider. Oops... I see there's work being done on this after all. A quick check with ADS shows a paper by Batygin & Laughlin (2008 ApJ 683, 1207) that forward-integrates the planets for 20 Gyr. (Bottom line: the solar system is stable or at least there are no "severe" instabilities. Phew!) There may still be a project here; I haven't looked at details. In general, when modelling high velocity impacts, using SPH you consider the solid a fluid. I would consider the gigantic impact into the proto earth as high velocity... Yes, "liquid forces" would probably have been a better phrase for me to use. Anyway, you need something to keep the simulated Earth and incoming body from collapsing to point masses and also to allow "drops" to stick together after the collision but have finite radius. Gently placing a big asteoroid on the surface of Earth would, I would imagine, cause it to sink into the Earth untill it "floats". In fact, one can estimate the size of mountains by knowing the average strength of crustal rock and the Earth's surface gravity. So indeed any object bigger than a mountain should do as you say. Everyday experience is not a good guide at large scales! Feel free to email me off-list if you wish. -- Steve Willner Phone 617-495-7123 Cambridge, MA 02138 USA (Please email your reply if you want to be sure I see it; include a valid Reply-To address to receive an acknowledgement. Commercial email may be sent to your ISP.) |
#10
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Steve Willner wrote:
In article , "Jason Who" writes: ...I was hoping for an model of astronomical phenomena which was in itself simple, but which were perhaps hard to implement and test numerically. Not easy to find, I'm afraid. Not all astronomers are bad programmers. :-) I wonder whether there's something to be done in N-body work simulating the long-term stability of the solar system. That was popular about 15 years ago, but I haven't seen anything lately. One group even constructed a special-purpose computer, the "digital orrery." I don't know whether this area could turn into a project, but there may be something to consider. Oops... I see there's work being done on this after all. A quick check with ADS shows a paper by Batygin & Laughlin (2008 ApJ 683, 1207) that forward-integrates the planets for 20 Gyr. (Bottom line: the solar system is stable or at least there are no "severe" instabilities. Phew!) There may still be a project here; I haven't looked at details. Sure is. Can an accretion disk accrete into a non-stable solar system? Average length of stability? Does stability depend upon the size of the star? Does it depend on the original size and density of the cloud? At what rate do the ejections occur? What fraction of the disk is ejected? Mass distribution for the ejected material? Speed distribution for the ejected material? Might need to do a million simulations to the age of the universe to get a good grip on the distributions. A nice distributed computing project. |
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