Breakthrough Listen I/O Methods for Python.
Filterbank + Raw file readers
pip installation can fail if a system dependency is not installed. To fix this, make sure you have
curl and install the required system dependencies with the command bellow:
curl https://raw.githubusercontent.com/UCBerkeleySETI/blimpy/master/dependencies.txt | xargs -n 1 sudo apt install --no-install-recommends -y
The latest release can be installed via pip directly from this repository:
python3 -m pip install -U git+https://github.com/UCBerkeleySETI/blimpy
Or, the latest version of the development code can be installed from the github repo and then run
python setup.py install or
pip install . (with sudo if required), or by using the following terminal command:
python3 -m pip install -U https://github.com/UCBerkeleySETI/blimpy/tarball/master
To install everything required to run the unit tests, run:
python3 -m pip install -e .[full]
You will need
matplotlib as dependencies. A
pip install should pull in numpy, h5py, and astropy, but you may still need to install scipy and matplotlib separately.
To interact with compressed files, you'll need the
hdf5plugin package too.
Note that h5py generally needs to be installed in this way:
$ python3 -m pip install --no-binary=h5py h5py
Command line utilities
After installation, some command line utilities will be installed:
watutil, for reading/writing/plotting blimpy filterbank files (either .h5 or .fil format).
rawutil, for plotting data in guppi raw files.
fil2h5, for converting .fil files into .h5 format.
h52fil, for converting .h5 files into .fil format.
bldice, for dicing a smaller frequency region from (either from/to .h5 or .fil).
matchfils, for checking if two .fil files are the same.
-h flag to any of the above command line utilities to display their available arguments.
Reading blimpy filterbank files in .fil or .h5 format
blimpy.Waterfall provides a Python API for interacting with filterbank data. It supports all BL filterbank data products; see this example Jupyter notebook for an overview.
From the python, ipython or jupiter notebook environments.
from blimpy import Waterfall fb = Waterfall('/path/to/filterbank.fil') #fb = Waterfall('/path/to/filterbank.h5') #works the same way fb.info() data = fb.data
Reading guppi raw files
The Guppi Raw format can be read using the
GuppiRaw class from
from blimpy import GuppiRaw gr = GuppiRaw('/path/to/guppirawfile.raw') header, data = gr.read_next_data_block()
from blimpy import GuppiRaw gr = GuppiRaw('/path/to/guppirawfile.raw') for header, data_x, data_y in gr.get_data(): # process data
Note: most users should start analysis with filterbank files, which are smaller in size and have been generated from the guppi raw files.
Using blimpy inside Docker
The blimpy images are pushed to a public repository after each successful build on Travis. If you have Docker installed, you can run the following commands to pull our images, which have the environment and dependencies set up for you.
docker pull fx196/blimpy:py3_kern_stable
Here is a more complete guide on using blimpy in Docker.
A detailed overview of the data formats used in Breakthrough Listen can be found in our data format paper. An archive of data files from the Breakthrough Listen program is provided at seti.berkeley.edu/opendata.