psinspect
is a visual application to check for CMB power spectra and covariance matrices
calculations through PSpipe.
The easiest way is to get the PyPI version with
pip install psinspect [--user]
You can test if everything has been properly installed with
psinspect
If everything goes fine, no errors will occur. Otherwise, you can report your problem on the Issues tracker.
If you plan to develop/change something inside psinspect
, it is better to checkout the latest version by doing
git clone https://github.com/xgarrido/psinspect.git /where/to/clone
Then you can install the psinspect
library and its dependencies via
pip install -e /where/to/clone
The -e
option allow the developer to make changes within the psinspect
directory without having
to reinstall at every changes.
At NERSC, after having set python
with module load python
, you can follow the same
installation process and everything will be installed in your local home. Then you can go to NERSC
Jupyter Hub and start a notebook with the following minimal set of
commands
from psinspect import App
my_app = App()
my_app.initialize()
my_app.start()
Another (smarter) way is to encapsulate the whole installation stuff within a python
virtual
env. to avoid conflicts with your existing installation. To do so you can follow these command lines
module load python
python -m venv /where/to/install/your/env
source /where/to/install/your/env/bin/activate
python -m pip install ipykernel
python -m ipykernel install --user --name=psinspect
This will install a new kernel named psinspect
that you can choose when you will create a new
notebook in NERSC Jupyter Hub. Copy-paste the above python
code
and execute the cell.
The code is part of PSpipe the Simons Observatory power spectrum pipeline.