I hope some of you may be interested in this.....
SCIENCE ILLUSTRATED: A SYMPOSIUM ON VISUALIZING SCIENCE
February 22-23 2011
Mcleod Auditorium, Medical Sciences Building
University of Toronto
Free Registration
http://www.scienceillustrated.ca/
Science Illustrated is a two day symposium dedicated to helping early-career
scientists (graduate students and post-doctoral fellows) of all disciplines
visualize their science better. The goal of the symposium is to help
scientists create …
[View More]better visualizations to do better research, as well as to
communicate their findings to their peers and public. Attendees will leave
the symposium with a practical sense of how to better visualize their data
immediately.
Sessions include:
* A keynote on creating compelling scientific visualizations from Thomas
Lucas, Director/Producer of National Geographic's “Monster Black Holes” and
NOVA's “Hunt for the Supertwister”
* Find out about why 3D Visualization matters with Paul Salvini (Chief
Technology Officer, Side Effects Software)
* How to visualize your data in non-traditional ways to do better science
with Christopher Collins (Assistant Professor, UoIT)
* Overview sessions on moving past the most elementary visualizations and
large dataset visualization
* Deconstruction sessions of specific visualizations: Taking a compelling
visualization, and breaking down how the scientist constructed it
step-by-step
* Basic Design Bootcamp for Scientists: What do scientists need to know
about graphic design?
* A Panel Discussion on how scientific visualization helps engage the public
including Jay Ingram (Host of Daily Planet, Discovery Channel), Peter
Calamai (Former National Science Reporter, Toronto Star), and Reni Barlow
(Executive Director of Youth Science Canada)
For speaker information and registration, please visit:
http://www.scienceillustrated.ca/
Science Illustrated is supported by:
The SciNet Consortium
The Knowledge Media Design Institute
The Dunlap Institute for Astronomy & Astrophysics
The Dean's Student Initiative Fund, Faculty of Arts & Science, University of
Toronto
--
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
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Hello yt users,
I'm trying to volume render an Orion simulation with about 6,000 grids and
100 million cells, and I think I'm running out of memory. I don't know if
this is large compared to other simulations people have volume rendered
before, but if I set the width of my field of view to be 0.02 pc (20 times
smaller than the entire domain), the following code works fine. If I set it
to 0.04 pc or anything larger, the code segfaults, which I assume means I'm
running out of memory. This …
[View More]happens no matter how many cores I run on -
running in parallel seems to be speed up the calculation, but not increase
the size of the domain I can render. Am I doing something wrong? Or do I
just need to find a machine with more memory to do this on? The one I'm
using now has 3 gigs per core, which strikes me as pretty solid. I'm using
the trunk version of yt-2.0. Here's the script for reference:
from yt.mods import *
pf = load("plt01120")
dd = pf.h.all_data()
mi, ma = na.log10(dd.quantities["Extrema"]("Density")[0])
mi -= 0.1 ; ma += 0.1 # To allow a bit of room at the
edges
tf = ColorTransferFunction((mi, ma))
tf.add_layers(8, w=0.01)
c = na.array([0.0,0.0,0.0])
L = na.array([1.0, 1.0, 1.0])
W = 6.17e+16 # 0.02
pc
N = 512
cam = Camera(c, L, W, (N,N), tf, pf=pf)
fn = "%s_image.png" % pf
cam.snapshot(fn)
Thanks,
Andrew Myers
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Hi, all--
I'm probably doing something dumb, but I'm seeing an odd error with ortho_ray:
>> pf.h.ortho_ray(1,[0.505,0.505],'Density')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/dcollins/local/src/yt-hg/yt/data_objects/data_containers.py",
line 342, in __repr__
for i in self._con_args])
AttributeError: 'AMROrthoRay' object has no attribute 'coords'
But
>>> j = pc.add_ortho_ray(1,[0.505,0.505],'Density')
works fine. …
[View More]Am I doing something dumb with the ortho_ray?
--
Sent from my Stone Tablet and carried by my Pterodactyl.
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