Rachel GUI

There is a GUI (Graphical User Interface) for Gosia version 20081208.10, which is currently undergoing beta-testing.  The beta-test version can be [http://www.pas.rochester.edu/~hayes/beta_rachel/rachel.1.3.0.beta.tar downloaded here].  Rachel is written in Python 2.6 and is expected to be Python 2.7 compliant.  It will run on Linux or Unix (OS X) machines.  A 64-bit processor is desirable, because Gosia runs fastest and most accurately on a 64-bit machine.  This original version of the GUI was written as a time-saving tool for analysis of a one particular data set, so the final release version, expected in 2011 will have many structural changes in the code, allowing more automation, more general particle detector options and fewer user prompts.

# To install Rachel and get it running for the first time, watch [http://www.pas.rochester.edu/~hayes/beta_rachel/Rachel_Installation.mp4 Rachel Installation].

# A short video on [http://www.pas.rochester.edu/~hayes/beta_rachel/undo_redo.mp4 the undo/redo buttons].

# How to [http://www.pas.rochester.edu/~hayes/beta_rachel/crash_recovery.mp4 recover data from a crashed session].

# First steps: [http://www.pas.rochester.edu/~hayes/beta_rachel/Reading_level_schemes.mp4 Reading level schemes.]

# How to [http://www.pas.rochester.edu/~hayes/beta_rachel/Add_matrix_non-collective.mp4 add individual matrix elements].  This is most applicable to small, non-collective systems, such as the one in the sample file example2levels.txt file distributed with Rachel.  

# How to [http://www.pas.rochester.edu/~hayes/beta_rachel/add_matrix_collective.mp4 add matrix elements systematically], i.e., for collective nuclei with rotational bands.

# How to [http://www.pas.rochester.edu/~hayes/beta_rachel/setting_up_calculations.mp4 define experiments, Ge detectors and calculate predicted yields]. This video will show how to define experimental detector setup, data partitions and make instant plots as well.

# A [http://www.pas.rochester.edu/~hayes/beta_rachel/basic_fit_example.mp4 very basic example of fitting] including a correlated error calculation. The entire video is about 30 minutes long. You can follow along using the GUI on your system and the example files shown in the video, which are included with your Rachel distribution in the .../example_files/ subdirectory.

# [http://www.pas.rochester.edu/~hayes/beta_rachel/experiment_planning_2.mp4 More advanced selection of fit parameters].

# [http://www.pas.rochester.edu/~hayes/beta_rachel/accuracy_testing.mp4 Testing the accuracy] of your Gosia calculations and the applicability of Gosia to a planned experiment.

# Semiclassical Coulomb excitation codes have inherent adiabaticity and eccentricity limits. [http://www.pas.rochester.edu/~hayes/beta_rachel/adiabaticity_limit.mp4 This video] shows how to test for these limits with an experiment that would ''not'' be appropriate for Gosia.

# [http://www.pas.rochester.edu/~hayes/beta_rachel/experiment_planning.mp4 Generating simulated data]. The errors in the simulated data are based on Poisson statistics and the expected number of days, beam current, etc. to estimate your ability to observe desired gamma-ray yields and to fit matrix elements to the observed yields. The present beta version applies ''optionally'' a quasi-gaussian random scatter of the predicted yield data [http://www.pas.rochester.edu/~hayes/beta_rachel/experiment_planning_2.mp4 as demonstrated in this video] to better aid in predicting expected precision of fitted matrix elements. Watch this supplemental video to see how this works. You should also watch the [http://www.pas.rochester.edu/~hayes/beta_rachel/accuracy_testing.mp4 accuracy testing video] to see if Gosia would be an appropriate analysis tool for your planned experiment.