Create arbitrary boxes with isotropic power spectra
Project description
Make arbitrarily structured, arbitrary-dimension boxes.
powerbox is a pure-python code for creating density grids (or boxes) that have an arbitrary two-point distribution (i.e. power spectrum). Primary motivations for creating the code were the simple creation of lognormal mock galaxy distributions, but the methodology can be used for other applications.
Features
Works in any number of dimensions.
Arbitrary isotropic power-spectra.
Option to transform density field to log-normal field.
Really simple.
Installation
Clone/Download then python setup.py install.
Basic Usage
At this point, there’s just a single class that is useful: PowerBox. You can import it like
>>> from powerbox import PowerBox
Once imported, to see all the options, just use help:
>>> help(PowerBox)
For a basic 2D Gaussian field with a power-law power-spectrum, one can use the following:
>>> pb = PowerBox(N=512, ## Number of grid-points in the box
dim=2, ## 2D box
pk = lambda k: 0.1*k**-2., ## The power-spectrum
boxlength = 1.0 ## Size of the box (sets the units of k in pk)
)
>>> import matplotlib.pyplot as plt
>>> plt.imshow(pb.delta_x)
Other attributes of the box can be accessed also – check them out with tab completion in an interpreter!
TODO
Proper calibration of transforms
Documentation
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