Setup to process FSD data on neutrino01: Difference between revisions
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= ndlar_flow = | = ndlar_flow = | ||
To install ''ndlar_flow'' | To install ''ndlar_flow'' the 'README' on the [https://github.com/DUNE/ndlar_flow# git repo] contain probably the most up-to-date. This page is based on the following [https://github.com/DUNE/ndlar_flow/commit/d16b9a2ac81366fd841f053b6ba9275ad748a05a commit]. | ||
=== Installation === | |||
To be able to start a jupyter notebook later, an additional step is needer: On ''neutrino01'' the default python version is <!-- <syntaxhighlight lang="cpp"> [nsallin@neutrino01 ndlar_flow]$ python --version | |||
Python 3.9.21 </syntaxhighlight> --> | Python 3.9.21 </syntaxhighlight> --> | ||
<pre> | <pre> | ||
[ | [user@neutrino01 ~]$ python --version | ||
Python 3.9.21 | Python 3.9.21 | ||
</pre> | </pre> | ||
which is too old to install the latest jupyter version | |||
=== pyenv === | === pyenv === | ||
Revision as of 10:44, 18 June 2025
After the collection of data a few steps are needed to easily use them. One can flow the data to convert them in the hdf5 format, easy to handle. Otherwise one can also directly look at the raw data using the afi viewer. We will see how to set this up on the neutrino01 server. Some information concerning errors can be found on the Debug page.
ndlar_flow
To install ndlar_flow the 'README' on the git repo contain probably the most up-to-date. This page is based on the following commit.
Installation
To be able to start a jupyter notebook later, an additional step is needer: On neutrino01 the default python version is
[user@neutrino01 ~]$ python --version Python 3.9.21
which is too old to install the latest jupyter version