GSoC'18 participation with yt
Hi everyone, I am a Masters student at the University of Massachusetts, Amherst studying Computer Science. I did my undergraduate from BITS Pilani (India) in Computer Science and Masters in Mathematics. I have two and a half years of software development experience at Citi (full-time), Software Robotics Corp (full-time) and Amazon(internship). I would like to work on yt projects as part of GSoC'18. Could you help me know more about the project "Interpolating particle data onto grids" and point me to the related materials. Also, I would love to be added to the yt Slack, my email address is abhisheksing@umass.edu. Thank you, Abhishek Singh
On Sat, Feb 17, 2018 at 10:09 AM, <abhisheksing@umass.edu> wrote:
Welcome! And thanks also for the pull request you sent in.
Sure, besides the idea description itself I'd take a look at the following background material related to "the demeshening" (our codename for the overall project the GSOC project is a piece of): * YTEP-0032: http://ytep.readthedocs.io/en/latest/YTEPs/YTEP-0032.html * The talk Meagan Lang and I gave at SciPy 2017: https://www.youtube.com/watch?v=pkZgQIGac6I The project you are interested in will require an understanding of methods for interpolating data from an N-body simulation onto various grid types. To understand the motivation and the algorithms you'll be using, it would be good to get some background on smoothed particle hydrodynamics, KDTrees and the k-nearest neighbors problem. Some materials that might be helpful: * The paper describing the SPLASH visualization software ( http://users.monash.edu.au/~dprice/splash/): https://doi.org/10.1071/AS07022 * "Smoothed Particle Hydrodynamics and Magnetohydroynamics" by Dan Price: https://arxiv.org/abs/1012.1885 (in particular Sections 1, 2, and 4) * cykdtree, the cython KDTree library by Meagan Lang we've been using for this project: https://github.com/cykdtree/cykdtree * If your university library has it, the discussion in "Computer Simulation using Particles" by Hockney and Eastwood about particle deposition methods SPLASH is a piece of Fortran SPH visualization software. We don't make use of SPLASH ourselves much, but the paper describing it has some excellent discussion on how to visualize SPH data in practice. I hope that's not too much background info! Please let me know if you want to discuss this more or have questions about the project itself and how it fits in with this background info. Best, Nathan
On Sat, Feb 17, 2018 at 12:42 PM, Nathan Goldbaum <nathan12343@gmail.com> wrote:
Although I should also mention that the code itself for this project currently lives on the "sph-viz" branch on my fork of yt: https://github.com/ngoldbaum/yt/tree/sph-viz Hopefully in the next few weeks we'll move the code to a branch in the main repository to ease the contribution process. If you want to install this branch of yt, Cameron Hummels set up some instructions for users of the Trident package, which has preliminary support for the demeshening: https://nbviewer.jupyter.org/url/trident-project.org/notebooks/trident_demes...
On Sat, Feb 17, 2018 at 10:09 AM, <abhisheksing@umass.edu> wrote:
Welcome! And thanks also for the pull request you sent in.
Sure, besides the idea description itself I'd take a look at the following background material related to "the demeshening" (our codename for the overall project the GSOC project is a piece of): * YTEP-0032: http://ytep.readthedocs.io/en/latest/YTEPs/YTEP-0032.html * The talk Meagan Lang and I gave at SciPy 2017: https://www.youtube.com/watch?v=pkZgQIGac6I The project you are interested in will require an understanding of methods for interpolating data from an N-body simulation onto various grid types. To understand the motivation and the algorithms you'll be using, it would be good to get some background on smoothed particle hydrodynamics, KDTrees and the k-nearest neighbors problem. Some materials that might be helpful: * The paper describing the SPLASH visualization software ( http://users.monash.edu.au/~dprice/splash/): https://doi.org/10.1071/AS07022 * "Smoothed Particle Hydrodynamics and Magnetohydroynamics" by Dan Price: https://arxiv.org/abs/1012.1885 (in particular Sections 1, 2, and 4) * cykdtree, the cython KDTree library by Meagan Lang we've been using for this project: https://github.com/cykdtree/cykdtree * If your university library has it, the discussion in "Computer Simulation using Particles" by Hockney and Eastwood about particle deposition methods SPLASH is a piece of Fortran SPH visualization software. We don't make use of SPLASH ourselves much, but the paper describing it has some excellent discussion on how to visualize SPH data in practice. I hope that's not too much background info! Please let me know if you want to discuss this more or have questions about the project itself and how it fits in with this background info. Best, Nathan
On Sat, Feb 17, 2018 at 12:42 PM, Nathan Goldbaum <nathan12343@gmail.com> wrote:
Although I should also mention that the code itself for this project currently lives on the "sph-viz" branch on my fork of yt: https://github.com/ngoldbaum/yt/tree/sph-viz Hopefully in the next few weeks we'll move the code to a branch in the main repository to ease the contribution process. If you want to install this branch of yt, Cameron Hummels set up some instructions for users of the Trident package, which has preliminary support for the demeshening: https://nbviewer.jupyter.org/url/trident-project.org/notebooks/trident_demes...
participants (2)
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abhisheksing＠umass.edu -
Nathan Goldbaum