Hello,
I wanted to ask if yt supports the registration of external data as a field
of an existing dataset.
In case it helps clarify my question, I just wanted to briefly elaborate on
what I'm looking to do. I'm trying to characterize the turbulent velocities
in some high resolution unigrid simulations. Because this involves
convolution, I need to compute the turbulent velocity outside of the yt
infrastructure (this seems beyond the scope of what a user-defined derived
field can support). It would be convenient to be able to load the results
back into yt to use the existing analysis machinery (e.g. for phase plots
and slices). I have thought about using the "Generic Unigrid Data"
frontend, but the simulation's size unfortunately makes that approach
somewhat intractable.
I'm pretty confident that the answer to my question is "no," but I wanted
to be sure before I rolled my own solution. Thank you for your help.
Best,
Matthew Abruzzo
Dear yt-ers,
yt is participating in a research project being conducted by NumFOCUS
<https://numfocus.org/>. The research is looking into understanding the
diversity, inclusion and barriers to participation within
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The survey <https://numfocus.typeform.com/to/W6Bax8eq> will take 15-20 min
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Click here to participate into the survey
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Thank you in advance for your participation!
Stephanie Tonnesen
(for the yt steering committee)
--
Dr. Stephanie Tonnesen
Associate Research Scientist
CCA, Flatiron Institute
New York, NY
stonnes(a)gmail.com
Dear all,
How to create a 3D fixed resolution buffer (FRB) from 3D AMR data?
More specifically, if we would like to project 3D AMR data onto a 2D plane with fixed resolution, we can do something like below:
proj = ds.proj(...)
frb = proj.to_frb(...)
plt.imshow(np.array(frb['density']))
However, if I understand correctly, the array `frb` stores 2D projected data instead of the original 3D data with fixed resolution, correct? How do I do that?.
Thanks.
Hello All,
I'm trying to find halos in mutiple snapshot files from DM-only cosmological simulation generated by Gadget-2, using FOF halo finder in yt. The box size of the simulation is 13.8Mpc/h and contain 1024^3 particles. Here is my code,
data_ds = yt.load('./snapshot_016.0')
hc = HaloCatalog(data_ds=data_ds, finder_method='fof',finder_kwargs={"dm_only":False,"ptype":"Halo"})
hc.create()
and I met the error like this,
yt.utilities.exceptions.YTDomainOverflow: Particle bounds (-386.63174, -385.38947, -525.52057) and (6900.443, 6900.271, 13799.999) exceed domain
bounds [0. 0. 0.] code_length and [13800. 13800. 13800.] code_length.
I have already updated yt and it's dependecy to the version 3.6.1, but I still have this problem. It seems like yt treat the particle velocity as the bound, I have no idea. What make me more confusing is there is no such error when I run above code for another small scale simualtion (886^3 particles and L_box=12Mpc/h), So, does anyone know what happend here or has ever met the same problem?
Hi yt-users,
This is a quick note to ask you to save some time during the weeks of *June
7-11* and *August 2-6 *this year! We are going to try and push through PRs
those weeks, with each week having its own theme! I hope that everyone can
make both (meaning be active on slack and engaged in PRs)!! We will be
sending out details with our vision for each week shortly.
Mischief Managing week (we solemnly swear to be up to *only* good!)
We will have a managing mischief week to focus on cleaning up the codebase.
This is when we want dead code, code styling, and other PRs both submitted
and merged. MM week will be on June 7-11 this year.
PR Mentorship Week
This is a week that we will help get older PRs and PRs from new
contributors across the finish line. PRs from new contributors are always
welcome; this week is specifically for extra focused time to boost the work
of new contributors. This will include dedicated time from the development
community on taking over PRs or mentoring newer contributors whose PRs have
been waiting a while. PR Mentorship week will be held on August 2-6 this
year.
Can't wait to "see" you!
-The yt steering committee
--
Dr. Stephanie Tonnesen
Associate Research Scientist
CCA, Flatiron Institute
New York, NY
stonnes(a)gmail.com
