Introduction

This document offers a brief overview of a high-level interface to the psana analysis framework for user applications written in the Python programming language. The interface is informally known as "interactive psana*. The tool's use is not solely limited to the interactive analysis scenarios. It also allows its users to benefit from a rich set of services of the core framework while retaining a full control over an iteration in data sets (runs, files, etc.). This combination makes it possible for the interactive exploration and (if needed) visualization of the experimental data. Note that by the later we always mean data files in the XTC or HDF5 formats produced at the LCLS DAQ or Data Management system. We also suggest visiting the Glossary of Terms which is found in the end of the document.

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The final comment, before we'll proceed to the practical steps, is that a reader of the document isn't required to be fully familiar with the batch framework. Those areas where such knowledge would be needed are expected to be covered by the document. Though, we still encourage our users to spend some time to get an overview of the Data Analysis Tools we provide at PCDS. That's because many problems in doing the data analysis can be solved by the batch version of psana in a more efficient and natural way. These two flavors of the framework are not meant to compete with each other, they are designed to complement each other to cover a broader spectrum of analysis scenarios.

Test data

Setting up the analysis environment

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