[Rivet-announce] Rivet 2.4.0 released (+ YODA 1.5.5)

[Andy Buckley]

Dear Rivet users,

We're happy to announce the release of Rivet 2.4.0 -- the first in our 
newly disciplined attempt to make at least an analysis-update release 
every 3 months. There is a lot more than analysis updates in this 
release, though!

Rivet 2.4.0 and an accompanying version 1.5.5 of YODA are available to 
download right away from the websites http://rivet.hepforge.org and 
http://yoda.hepforge.org, or via the bootstrap scripts (see Rivet's 
"getting started" web page)

This is our best Rivet yet and is recommended for immediate use. Happy 
Riveting!


PHYSICS IMPROVEMENTS

* 12 new analyses, including first 13 TeV data!

* The WFinder has been further improved to make the best information 
hypothesis of neutrino kinematics without needing to rely on "detecting" 
a particular neutrino with a zero mass hypothesis -- this avoids a 
too-large energy (and hence mass) being set due to out-of-acceptance 
particles.

* The MissingMomentum projection and FourMomentum have acquired extra 
methods to help with 3-momentum balance operations like converting 
visible momentum into missing momentum without accidentally getting a 
negative energy or having to modify the individual vector components.

* A function has been added to ZFinder to retrieve all fiducial dressed
leptons, for example to allow vetoing on a third one.

* By request, you can now pass an arbitrary Cut to the Jet.bTags() and 
similar methods, to exclude very soft, experimentally unavailable 
truth-tag particles.

* The FastJets projection is now more compatible with FastJet's own 
"pure ghosts": these will be excluded from the reported Jet 
constituents, without interfering with Rivet's own ghost approach to 
flavour tagging.


TECHNICAL IMPROVEMENTS

* Cross-section and event counter are now written out by default -- 
these should be very useful for run merging of multiparton generation 
with separate partonic multiplicity samples, cf. MadGraph and Alpgen. 
The Rivet scripts do not yet use these, so please get in touch if it 
sounds useful! You'll need the latest YODA to read them correctly.

* Since the latest versions of YODA fully support reading the 1D and 3D 
scatter data types, we've now templated the Analysis::refData() 
functions so you can book analysis objects other than 1D histograms and 
profiles based on the reference data.


Best wishes,
The Rivet team

-- 
Dr Andy Buckley, Lecturer / Royal Society University Research Fellow
Particle Physics Expt Group, University of Glasgow