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4. Create a test release (Freq: once)

Releases are explained in Packages and Releases section. Create new test release with the command like this:

newrel ana-current analisys-rel

This will create a new directory named analisys-rel and populate it with few files:

         ./analisys-rel/
                        SConstruct
                        .sit_release

Other directories and hidden system files may appear later at compilation stage or when you run addpkg or newpkg commands.

Below we refer to this directory as a "test release". Usually separate analyses use separate test releases, and each test release should bear unique name if they are located in the same directory.

5. Change to the test release (Freq: every logon or whenever needed)

cd analisys-rel
sit_setup

The last sit_setup command is very important and must be executed from the release directory every time you change the directory.

6. Create new analysis package (Freq: once)

Choose sufficiently unique name for your analysis package and create the package.

newpkg my_ana_pkg

This will create directory my_ana_pkg and populate it with few files and sub-directories:

       .../analisys-rel/
                      ./my_ana_pkg/
                                   SConscript
                                   doc/
                                       README
                                       ChangeLog

7. Add analysis module (Freq: once)

This step depends on which specific analysis framework is used:

• For Python-based analysis framework you need to execute following commands:

  Code Block
  mkdir my_ana_pkg/src # only if src directory does not exist yet codegen -l pyana-module my_ana_pkg my_ana_mod

  This will create file my_ana_pkg/src/my_ana_mod.py which contains boilerplate code for analysis module. The codegen command can also be used to generate other template modules, as explained here.

• For C++-based analysis framework you need to execute following commands:

  Code Block
  mkdir my_ana_pkg/src my_ana_pkg/include # only if src and include directories do not exist yet codegen -l psana-module my_ana_pkg my_ana_mod

  This will create files my_ana_pkg/include/my_ana_mod.h and my_ana_pkg/src/my_ana_mod.cpp which contain skeleton code for analysis module.

8. Modify analysis code (Freq: as much as you need)

Use your favorite editor to add or modify code the analysis module. For Python modules see section Writing User Modules in Pyana User Manual for examples. For C++ modules see Psana User Manual for examples.

9. Build (Freq: after every edit)

Run the command which builds all necessary software in your test release:

scons

10. Create configuration file (Freq: once)

In addition to analysis module the job usually needs a separate configuration file. The name and location of the file could be arbitrary. By default Python-based analysis uses file named pyana.cfg in current directory so the simplest would be to create it inside the release directory:

vi pyana.cfg

C++-based analysis uses file named psana.cfg in current directory by default, create it with your favorite editor:

vi psana.cfg

The file will contain both the names of the modules you want to load and parameters you want to pass to those modules, exact content of the configuration file is explained in Pyana User Manual.

11. Run the analysis (Freq: as much as you need)

Chose the data you want to process and start analysis job. For Pyana it would be something like (assuming properly prepared pyana.cfg in current directory):

pyana /reg/d/psdm/AMO/amo14410/xtc/e23-r0406-*.xtc

For C++ framework the command may look like (assuming properly prepared psana.cfg in current directory):

psana /reg/d/psdm/AMO/amo14410/xtc/e23-r0406-*.xtc