> reworking our old (MuCap inherited) mana.cpp
> To have a good start, what is advised:
> a) following the Rootana Analyzer Framework as advertised in https://midas.triumf.ca/MidasWiki/index.php/Rootana_Analyzer_Framework with the TRootanaEventLoop
> b) The manalyzer advertised in https://bitbucket.org/tmidas/rootana/src/master/manalyzer/
> Option b) with it's module support?

It depends on your experiment and your data. If your data is just a few numbers,
either analyzer would do (even the old midas mana.c analyzer would do).

But if you have complicated data, especially streaming data, where midas events
and physics events do not have a 1-to-1 connection, the old analyzers will
not cut the mustard. I have done this kind of processing in the old analyzers,
came up with a generalized structure, the "m" analyzer is the result.

Historical note: I developed rootana maybe 15 years ago to process data
from the ALPHA experiment at CERN (anti-hydrogen trap), more recently, I developed
manalyzer to process more complicated data from the ALPHA-g experiment at CERN (vertical
anti-hydrogen trap, to study gravity effects). Joseph McKenna from CERN contributed
the automatic by-module multithreading and benchmarking.

To compare:

- both rootana and manalyzer use the same TMidasOnline class for connecting to live MIDAS data
- both use the same midasio classes to read and write MIDAS files
- rootana uses the older TMidasEvent class to access MIDAS banks
- manalyzer uses the newer TMEvent class. the main improvement is that TMEvent is
a well-behaved C++ class with a usable assignment and copy-constructor operators.
- graphics and web interface uses the same ROOT graphics, ROOT web server (a derivative
of mongoose web server library) and the same JS-ROOT.
- the manalyzer has better defined control flow and C++ object lifetime rules
wrt run start and run end (this corrects problems with life time of C++ objects
in the old rootana).
- manalyzer has automatic per-module multithreading "for free" (thanks, Joseph!),
I typically see the alphag analyzer use 8-10 CPU threads without having to use
any threading or mutex gunk in the analysis code.

The current plan is to include manalyzer into MIDAS as a git submodule, with luck
it will happen for the next midas release, the hold up is with the midasio class that needs
to be updated, git-submoduled and added to midas. Also the old TMidasOnline class needs
updating.

To conclude, we use manalyzer for ALPHA-2 and ALPHA-g, people who use it seem to be
generally happy (especially with the automatic per-module multithreading), we use
it for a couple of simpler experiments at TRIUMF.

I hope this answers your questions?

K.O.