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!
Elizabeth Harper-Clark MA MSci
PhD Candidate, Canadian Institute for Theoretical Astrophysics, UofT
Sciences and Engineering Coordinator, Teaching Assistants' Training Program,
Astronomy office phone: +1-416-978-5759
Does anyone out there have a technique for getting the variance out of
a profile object? A profile object is good at getting <X> vs. B, I'd
then like to get < (X - <X>)^2 > vs B. Matt and I had spittballed the
possibility some time ago, but I was wondering if anyone out there had
successfully done it.
Sent from my computer.
Can current yt calculate 3-D Mass power spectra? I checked the website but
I didn't find any information. I think calculating 3-D Mass power
spectra is a very useful for cosmological simulations. So I guess maybe yt
supports this function now....?
Thanks in advance
This is actually a bit directed at the developers of the clump finder. I
would like to know if including a validator speeds up the clump finder
routine. Basically, if I say via validator that I only want clumps whose
minimum temperature is below some value, will that help me speed things up
by tossing out clumps that don’t fulfill that criteria early on in the
process? Or does it only validate after having gone through the entire
clump finding routine (after it has looked for children a bunch of times
and reached the max density or variable value)?
Dr. Stephanie Tonnesen
Associate Research Scientist
CCA, Flatiron Institute
New York, NY
I'm looking at changing the units for my density field from g/cm^2 to solar
masses/pc^3. I tried using set_unit but that gave me an error saying it
couldn't change from one to the other. I'm using Enzo 2.5 and yt 3.5.0 for
I was wondering what is the correct way to obtain a list of particles that
lie inside each halo in a catalog. I think I can figure out how to brute
force this but I was wondering if there was a YT way to do it. In the end I
would like particle positions (x,y,z) for particles grouped by which halo
they are in.
I am not an astrophysicist and did not stay in a holiday inn express last
night. I don’t even know what a halo is really for. I just need to get
disjoint sets of particles that are grouped together for some work I am
doing with tessellation.
I was thinking halos calculate a position and center for clumps of
particles. I would like separate lists of particle positions for each of
those clumps. So far I can generate the halos (cut and paste from the
docs). I just don’t know the next step. I am working with the
enzo_cosmology_plus dataset as an example.
Texas Advanced Computing Center
University of Texas Austin
I am trying to become familiar with yt halo finding. I have already created halo catalog and with Jupiter notebook I could see what was the number of halos (when it creates halo catalog it also writes what is the number of halos). I am trying to plot number of halos dependence on their masses and for this I need to have number of halos (with certain masses) as an output. I was trying to use callbacks and quantities but failed. Do you know what will be the best solution to get number of halos as an output?
I recently updated yt from 3.2.1 to 3.5.1 and I am receiving Segmentation Fault error when running yt.data_objects.profiles.create_profile. A good way to reproduce the error would be when running the test code in the documentation radial_profiles_styles.py. I can't seem to find anywhere in the documentation what has changed regarding this function during the updates. Would appreciate if anyone can take a look into this!
What I'm trying to figure out is the best way
to remove a source from a scene, if possible doing
it by keyname (or is there some other unique
identifier?). I know that the scene add_source
method has a keyword argument for add_source, but
there isn't a remove_source function yet. I can
directly access 'sources' in the scene object, but
I haven't yet figured out a good way to manipulate
that. I have a few volume, line, and point sources,
but I would like to remove some of them and add
them back in as I rotate my camera.
Andrew W. Steiner
Joint Faculty Asst. Prof. at UTK/ORNL
In memory of John Hunter, we are pleased to be reviving the SciPy John
Hunter Excellence in Plotting Competition for 2019. This open competition
aims to highlight the importance of data visualization to scientific
progress and showcase the capabilities of open source software.
Participants are invited to submit scientific plots to be judged by a
panel. The winning entries will be announced and displayed at the
John Hunter’s family and NumFocus are graciously sponsoring cash prizes for
the winners in the following amounts:
1st prize: $1000
2nd prize: $750
3rd prize: $500
Entries must be submitted by June, 8th to the form at
Winners will be announced at Scipy 2019 in Austin, TX.
Participants do not need to attend the Scipy conference.
Entries may take the definition of “visualization” rather broadly.
Entries may be, for example, a traditional printed plot, an interactive
visualization for the web, or an animation.
Source code for the plot must be provided, in the form of Python code
and/or a Jupyter notebook, along with a rendering of the plot in a widely
used format. This may be, for example, PDF for print, standalone HTML and
data can not be shared for reasons of size or licensing, "fake" data may be
substituted, along with an image of the plot using real data.
Each entry must include a 300-500 word abstract describing the plot and
its importance for a general scientific audience.
Entries will be judged on their clarity, innovation and aesthetics, but
most importantly for their effectiveness in communicating a real-world
problem. Entrants are encouraged to submit plots that were used during the
course of research or work, rather than merely being hypothetical.
SciPy reserves the right to display any and all entries, whether
prize-winning or not, at the conference, use in any materials or on its
website, with attribution to the original author(s).
SciPy John Hunter Excellence in Plotting Competition Co-Chairs