the yt project's blog
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A yt-napari party
Interactive visualization of yt data using napari?
Line Integral Convolution for Vector Field Visualization
How to visualize a line integral convolution for a vector field with yt
Obj File Exporter for Surfaces
How to export surfaces into an obj file (will it blend?!)
Particle Generators
This post shows how to generate particle fields from pre-defined particle lists, lattice distributions, and distributions based on density fields.
3D Surfaces and Sketchfab
Let’s talk about exporting surfaces to sketchfab with yt!
The Rockstar Halo Finder in yt
Over the last few weeks, Matt Turk, Christopher Moody, and Stephen Skory have been working to improve the integration of the Rockstar halo finder in yt. Rockstar was written primarily by Peter Behroozi and has a main website here. Linked there is the source and the most current edition of the method paper which includes a timing and scaling study.
Rockstar is a six dimensional halo finder, meaning that it considers both particle position and momentum when locating dark matter halos.
Simple Grid Refinement
Notebook Download
Grid refinement In yt, you can now generate very simple initial conditions:
In[1]:
from yt.mods import * from yt.frontends.stream.api import load_uniform_grid from yt.frontends.gdf.api import * from yt.utilities.grid_data_format.writer import write_to_gdf class DataModifier(object): pass class TophatSphere(DataModifier): def __init__(self, fields, radius, center): self.fields = fields self.radius = radius self.center = center def apply(self, grid, container): r = ((grid['x'] - self.center[0])**2.0 + (grid['y'] - self.center[1])**2.0 + (grid['z'] - self.center[2])**2.0)**0.5 for field in self.
Boolean Data Containers
A useful new addition to yt are boolean data containers. These are hybrid data containers that are built by relating already-defined data containers with each other using boolean operators. Nested boolean logic, using parentheses, is also supported. The boolean data container (or volume) is made by constructing a list of volumes interspersed with operators given as strings. Below are some examples of what can be done with boolean data containers.
New Screencasts
A few of the yt developers have been experimenting with screencasts to show off new features or demonstrate how to do some things. Sam and I have both prepared screencasts on volume rendering and getting started with developing, respectively. Check them out below, and please feel free to leave comments and let us know what you think – not just about the screencasts, but about what they demonstrate, and if you think any of the concepts or routines could be made easier.
Aboout the yt Project
Want to contribute a post? Check out our contributor guide
Check out our documentation here
The yt-project homepage
Our quickstart notebooks on getting started
The yt source repository
yt extension modules
yt has many extension packages to help you in your scientific workflow! Check these out, or create your own.
ytini
ytini is set of tools and tutorials for using yt as a tool inside the 3D visual effects software Houdini or a data pre-processor externally to Houdini.
Trident
Trident is a full-featured tool that projects arbitrary sightlines through astrophysical hydrodynamics simulations for generating mock spectral observations of the IGM and CGM.
pyXSIM
pyXSIM is a Python package for simulating X-ray observations from astrophysical sources.
ytree
Analyze merger tree data from multiple sources. It’s yt for merger trees!
yt_idv
yt_idv is a package for interactive volume rendering with yt! It provides interactive visualization using OpenGL for datasets loaded in yt. It is written to provide both scripting and interactive access.
widgyts
widgyts is a jupyter widgets extension for yt, backed by rust/webassembly to allow for browser-based, interactive exploration of data from yt.
yt_astro_analysis
yt_astro_analysis is the yt extension package for astrophysical analysis.
Make your own!!
Finally, check out our development docs on writing your own yt extensions!
Contributing to the Blog
Are you interested in contributing to the yt blog?
Check out our post on contributing to the blog for a guide! https://yt-project.github.io/blog/posts/contributing/
We welcome contributions from all members of the yt community. Feel free to reach out if you need any help.
the yt data hub
The yt hub at https://girder.hub.yt/ has a ton of resources to check out, whether you have yt installed or not.
The collections host all sorts of data that can be loaded with yt. Some have been used in publications, and others are used as sample frontend data for yt. Maybe there’s data from your simulation software?
The rafts host the yt quickstart notebooks, where you can interact with yt in the browser, without needing to install it locally. Check out some of the other rafts too, like the widgyts release notebooks – a demo of the widgyts yt extension pacakge; or the notebooks from the CCA workshop – a user’s workshop on using yt.