Experimental Physics and
Industrial Control System

"Jemian, Pete R. via Tech-talk" <tech-talk at aps.anl.gov> · Mon, 11 May 2020 13:16:29 +0000

The Bluesky framework (https://blueskyproject.io/) is one possibility.  They have an excellent sandbox (https://try.nsls2.bnl.gov) with Jupyter notebook tutorials (https://blueskyproject.io/bluesky/tutorial.html) to help get started.  As with anything complex, there is learning to do complex things.  But simple things should be simple.

I've been working up an additional set of Jupyter notebook tutorials focused on helping our beam line scientists get started.  The easiest one (least additional setup, uses out-of-the-package tools) to follow walks through the process of finding a simulated diffraction peak using a simulated motor.  (https://github.com/BCDA-APS/use_bluesky/blob/master/lessons/lesson5.ipynb)  First, you move the motor and read the detector directly, then you use scan tools to automate that process.

There's a whole raft of discussion behind permission to use the beam line and access security.  That's a different discussion.

Pete

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  Pete R. Jemian, Ph.D.               <prjemian at gmail.com>
  Beam line Controls and Data Acquisition
  Advanced Photon Source,   Argonne National Laboratory
  Argonne, IL  60439                   630 - 252 - 3189
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NOTE: effective 2020-05-01
    use    prjemian at gmail.com   for all correspondence
-----------------------------------------------------------

________________________________________
From: Tech-talk <tech-talk-bounces at aps.anl.gov> on behalf of Cobb, Tom (DLSLtd,RAL,LSCI) via Tech-talk <tech-talk at aps.anl.gov>
Sent: Monday, May 11, 2020 8:01 AM
To: tech-talk at aps.anl.gov
Subject: Using Jupyter notebooks for controlling experiments

Hi All,

A number of scientists at Diamond use Jupyter notebooks for some of their data analysis, and I was imagining how they might be used to control an experiment. It seems a nice idea to be able to scan a sample from the notebook, perform analysis on it, then use the results to inform the next scan. However, I am not sure how this would work in practice, especially with respect to version control of the notebooks, and how to track the data produced by cells that scanned a sample when the cell was re-run.

Is anyone using or planning to use Jupyter notebooks for controlling taking data as well as analysing it?

Thanks,
Tom

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Experimental Physics and Industrial Control System

Experimental Physics and
Industrial Control System