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.
I'm writing with an update about a previous email I sent a while ago:
At the University of Illinois, we're looking to hire a visiting
research scientist to work full-time on yt and yt-related projects.
This position *can* be remote, and the expected salary will be at or
above $65k (plus benefits). I also want to note that this position
will certainly involve engagement beyond yt's traditional applications
The job posting is here -- we extended the search, and it will now
close on March 15, with a flexible start date that could be as soon as
This job would be to work on the underlying infrastructure of yt, and
would present opportunities to familiarize yourself with some other
components of the modern data science ecosystem and the pydata stack,
including things like dask, xarray and so forth.
I think that this position may be particularly interesting to
individuals looking to transition to industry, as well as those who
are interested in pursuing jobs in academia that are more focused on
research software. This job is posted as part of the School of
Information Sciences, but it's within a research group that spans the
National Center for Supercomputing Applications (NCSA), the Astronomy
department, the Institute for Genomic Biology and other groups and
institutes on campus.
This position will also provide ample opportunities for
interdisciplinary work with academics, the open source scientific
software ecosystem (SciPy, PyData, etc) and for travel and
professional development. You'd get to work with folks involved in yt
and you'd get to have a hand in developing and designing some really
fun tools for data analysis and visualization. (*And* we have an
annual sweetcorn festival in Urbana -- $1/cob!)
Please do reach out to let me know if you have any questions about the
opportunity, and if you know anyone you think might be interested, it
would be very helpful if you could pass this information along to
When designing a network, a network switch is effectively its core, or its “brain”. It’s networking hardware that connects all devices together on a LAN (Local Area Network), redirecting and forwarding data to the correct destination. When running a business, it’s important to ensure that you have a network switch that helps you effectively cover the needs of your entire IT scope.
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I am having trouble with using north_vector--basically it is doing nothing
as I am writing it. As far as I can tell there are a few ways I can call
camera, and I am doing this:
scall = yt.create_scene(ds)
source_all = scall
#cam = scall.add_camera()
scall.camera.position = ds.arr([0.5,1.0,0.3],'unitary')
scall.camera.focus = ds.arr([0.5,0.5,0.36],'unitary')
scall.camera.north_vector = ds.arr([0.0,0.0,1.0],'unitary')
scall.camera.resolution = (2048,2048)
What I want is a nearly edge-on view of a disk in the x-y plane where the
disk is aligned on the x-y plane (horizontal) and instead I get the picture
below. I have run this with the north_vector line commented out, with it
as ds.arr([1.0,0.0,0.0],'unitary') and as np.array([0.0,0.0,1.0]) and
always get the same image. Any help is always appreciated!!
Thanks in advance,
Dr. Stephanie Tonnesen
Associate Research Scientist
CCA, Flatiron Institute
New York, NY
Dear yt users,
I am writing to you to know if somebody is using the sunrise_exporter to
convert ART or RAMSES snapshots to sunrise.
I have tried to update it but I found a problem I have not been able to
solve by now. The problem is that sunrise_exporter needs of a
"index.grids" object that is not defined in the ART or RAMSES frontends.
It is defined in the enzo and ytdata frontends but I have not succedeed
on exporting it to ART or RAMSES.
Has somebody tried it? I would really appreciate any help you can
Have a nice weekend.
Office 231, Plaza de las Ciencias, 1
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