Hi all,
Thanks for all your help over the last couple of days. One more question:
- Can I plot particles on a volume rendered image?
I have stars and I want to show where they are!
Thanks,
Libby
--
Elizabeth Harper-Clark MA MSci
PhD Candidate, Canadian Institute for Theoretical Astrophysics, UofT
Sciences and Engineering Coordinator, Teaching Assistants' Training Program,
UofT
www.astro.utoronto.ca/~h-clark <http://www.astro.utoronto.ca/%7Eh-clark>
h-clark(a)cita.utoronto.ca
Astronomy office phone: +1-416-978-5759
Hi,
Is there any way in yt to get a script to delete (or ignore) all the .yt
and .harray files and clear its memory? I run into errors when I'm
re-doing a plot or I've re-run the simulation and over-written the last
data set I looked at with yt. I have to exit yt, delete the above files
by hand and restart, which is a bit of a pain.
Elizabeth
Hi,
I've added PotentialField to the data that gets outputted. I'd like to
read this into yt, but how does this work when yt won't be expecting
PotentialField to be one of the data sets?
Elizabeth
Hi all,
I'm not sure if this is the right list to send this to, but I think a
bunch of knowledgeable people read this one, and hopefully one of you
can help me. I'm trying to use Reason and I'm kind of confused about
the ssh tunneling part. I start up yt serve on a remote machine
(ranger) and I'm told to create a ssh tunnel by executing these
commands:
~C
-L55185:localhost:55185
My local machine doesn't recognize "~C" and I'm not sure what it is
either. I tried creating an ssh tunnel with this:
ssh tg803911(a)ranger.tacc.utexas.edu -L 55185:localhost:55185
I was then able to successfully open the gui in a browser with the url
provided, but I am unable to load data (I can view the help though). In
order to do the ssh tunnel properly do I need to install something on my
local machine?
Christine
Hi all,
Adam Jundt at SDSC just let me know that there's now a yt module on
Trestles. If you're running there you should be able to load yt with
"module load yt".
We now have modules at Trestles, Nautilus, Kraken and I'm also told on
Odyssey and SciNet. Having modules created for community usage is a
strategy we're going to try to keep pursuing, so let me know if there
are modules elsewhere; this will soon be on a central wiki or document
of "maintained installations."
Best,
Matt
Hi,
Does yt support FLASH data with 2D cylindrical coordinates?
If yes, how to enable it? If not, is it easy to implement it?
I couldn't find info about it in the website.
Thank you very much.
Sincerely yours,
Kuo-Chuan
Hi all,
I have a question about the star analysis module. I understand how to
run it and print out a file with the results, but is there a way to run
it and access the results within the script? I am ignorant of how
classes work in python, and I am uncertain whether there is a trivial
way to access the contents of a star analysis object, or whether I need
a method to access its contents. I looked at the code for the class and
I didn't see a method that does this, so I'm guessing there is a simple
way to do this?
Christine
Hello again,
First, thanks for the code fix. I am, however having some problems with the
speed up -- at the moment, I'm not seeing any, unfortunately.
I'm testing this with ~ 140000 cells of a zoom in AMR simulation. The number of
levels in the region is 11, so it's very similar to what is posted on the YT
clump-finding help page
(http://yt.enzotools.org/doc/analysis_modules/clump_finding.html#treecode-op…)
-- namely the first figure for L=10 dataset with slightly fewer cells.
When I run:
> sp = pf.h.sphere(c,0.065/pf['pc'])
> pot = sp.quantities["IsBound"](truncate=False, include_thermal_energy=False,
treecode=False, opening_angle=0.0)
the timing is just ~230 seconds.
However, just changing to opening_angle=1.0 and treecode=True, the time is
roughly 900 seconds.
Higher opening angles only decrease the time by a little bit (opening_angle =
8.0 takes rougly 850 seconds). The error is still very small, so it is
calculating the right number at least, just slower than I think it should, as
the figures on the help page suggest around a factor of two speedup is
expected.
Is there anything that you see that I'm doing wrong?
Thanks!
Andrew
*************************************************************
** Andrew J. Davis andrew.davis(a)yale.edu **
** Dept. of Astronomy 203-432-5119 **
** Yale University www.astro.yale.edu/adavis **
*************************************************************
Hi folks,
I just updated my yt yesterday to use the new treecode algorithm in calculating
binding energies. Many many thanks to those who worked on it and tested it.
However, I'm looking at the code, and I see this in the function (on line 388
of derived_quantities.py):
octree = Octree(cover_ActiveDimensions, 1, True)
#print 'here', cover_ActiveDimensions
# Now discover what levels this data comes from, not assuming
# symmetry.
dxes = na.unique(data['dx']) # unique returns a sorted array,
dyes = na.unique(data['dy']) # so these will all have the same
--->>>> dzes = na.unique(data['dx']) # order.
# We only need one dim to figure out levels, we'll use x.
dx = 1./data.pf.domain_dimensions[0]
I've marked the line where I would think it should be getting data['dz'] instead
of 'dx'. Am I just not getting this or should this be changed?
Thanks!
Andrew
*************************************************************
** Andrew J. Davis andrew.davis(a)yale.edu **
** Dept. of Astronomy 203-432-5119 **
** Yale University www.astro.yale.edu/adavis **
*************************************************************
Hi Stephen,
I'm trying to do halo profiling with parallelHP on a 1024 cube dataset 14
Mpc/h at z=5. I used to be able to do this on data of the same size on
Triton with 256GB of RAM, and I'm trying it on Nautilus with the same
amount of RAM.
Should I be using more processors for faster results or should I cut down
the number of processors as there's memory overhead as I increase the core
count?
From
G.S.
