diff --git a/ganga/Lb2Lcmunu/DV2015.py b/ganga/Lb2Lcmunu/DV2015.py
new file mode 100644
index 0000000..9617341
--- /dev/null
+++ b/ganga/Lb2Lcmunu/DV2015.py
@@ -0,0 +1,8 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Author: Elena Graverini
+# @Date:   2016-01-14 09:58:15
+# @Last Modified by:   Elena Graverini
+# @Last Modified time: 2016-02-01 15:10:29
+from Configurables import DaVinci
+DaVinci().DataType = "2015"                    # Default is "DC06"
diff --git a/ganga/Lb2Lcmunu/DaVinci_Ganga_15_md.py b/ganga/Lb2Lcmunu/DaVinci_Ganga_15_md.py
new file mode 100644
index 0000000..da1704e
--- /dev/null
+++ b/ganga/Lb2Lcmunu/DaVinci_Ganga_15_md.py
@@ -0,0 +1,138 @@
+#$Id: DaVinci_Ganga.py,v 1.70 2010-09-07 15:53:14 jpalac Exp $
+#==============================================================================
+# Example ganga job submission file
+#==============================================================================
+#
+# Set ganga environment first with (e.g. lxplus)
+#  > GangaEnv
+# Then choose your ganga version (default version is normally the best option)
+#
+# NB : This file is for the ganga 5 releases
+# 
+# To submit you start ganga with the command "ganga" and then
+# at the ganga prompt type
+#
+# [In] 1 : ganga DaVinci_Ganga.py
+#
+# As an alternative you can also submit the job directly from 
+# the Unix prompt with the line
+# 
+# [user@lxplus]~% ganga DaVinci_Ganga.py
+# 
+# but in this way you will have the overhead of starting Ganga 
+# for each job you submit.
+#
+#==============================================================================
+#
+# For more information on ganga see http://cern.ch/ganga
+#
+# In particular, if you think you have found a bug, or you wish to suggest
+# some improvement in functionality, please report this at
+# https://savannah.cern.ch/projects/ganga/
+#
+# For Dirac jobs, you can monitor their status at
+# http://lhcb.pic.es/DIRAC/Monitoring/Analysis
+#
+# For any ganga object used below, more detailed information can be found by
+# running help(XXX) at the ganga prompt. I.e.
+#  > help(Dirac)
+# For more information on the Dirac backend
+#
+#==============================================================================
+
+#------------------------------------------------------------------------------
+# Make a new job object for DaVinci
+#------------------------------------------------------------------------------
+j = Job( application = DaVinci( version = 'v36r5' ) )
+#------------------------------------------------------------------------------
+
+#------------------------------------------------------------------------------
+# Define name for identifying the job (this name appears in the ganga job list)
+#------------------------------------------------------------------------------
+j.name = 'Lb2Lcmunu_15_md'
+#------------------------------------------------------------------------------
+
+#------------------------------------------------------------------------------
+# The job configuration
+#------------------------------------------------------------------------------
+# Define the configuration file(s) to use
+appOpts = j.application.user_release_area + '/DaVinci_' + j.application.version + '/Phys/DaVinci/options/'
+path = '/afs/cern.ch/work/e/egraveri/Analysis/ganga/Lb2Lcmunu/'
+j.application.optsfile = [ File(path + 'Lb2Lcmunu_S24_data2015_NEWJET_moreStates.py' ),
+                           File(path + 'DV2015.py'),
+                           File(path + 'LHCbCollision15Beam6500GeV-VeloClosed-MagDownRealDataReco15aStripping2490000000SEMILEPTONICDST.py') ]
+# Extra options
+# Appended to the end of the main options to override default settings
+#j.application.extraopts = ''
+#------------------------------------------------------------------------------
+
+#------------------------------------------------------------------------------
+# Input data
+# Can either be specified in the main configuration files (DaVinci.py etc.) or
+# locally here as an LHCbDataset
+#------------------------------------------------------------------------------
+#j.inputdata = LHCbDataset( files = [
+#'LFN:/lhcb/production/DC06/v1r0/00002000/DST/0000/00002000_00000004_3.dst' ,
+#'LFN:/lhcb/production/DC06/v1r0/00002000/DST/0000/00002000_00000005_3.dst' ] )
+#------------------------------------------------------------------------------
+# Define a job splitter (very useful for many input data files)
+#------------------------------------------------------------------------------
+# Use a single job, no splitting
+#j.splitter = None
+
+# Split jobs into 1 input file per job. max of 5 files in total
+j.splitter = SplitByFiles ( filesPerJob = 10, maxFiles = -1 )
+
+# This Splitter will query the Logical File Catalog (LFC) to find
+# at which sites a particular file is stored. Subjobs will be created
+# so that all the data required for each subjob is stored in
+# at least one common location. This prevents the submission of jobs that
+# are unrunnable due to data availability.
+# Useful when using the Dirac backend (see below)
+#j.splitter = DiracSplitter ( filesPerJob = 1, maxFiles = 5 )
+#------------------------------------------------------------------------------
+
+#------------------------------------------------------------------------------
+# Job merging (merge output from sub-jobs from job splitter, if used)
+#------------------------------------------------------------------------------
+# No merging
+#j.merger = None
+
+# Root file merging. See help( RootMerger ) for more details
+#j.merger = RootMerger( files = ['DVNtuples.root','DVHistos.root'], ignorefailed = True )
+
+# SmartMerger - Able to handle various file formats (including root files)
+#               See help( SmartMerger ) for more details
+#j.merger = SmartMerger( files = ['DVNtuples.root', 'DVHistos.root'], ignorefailed = True )
+#------------------------------------------------------------------------------
+#------------------------------------------------------------------------------
+# Output data
+#j.outputdata = ["stdout"]
+#------------------------------------------------------------------------------
+# Add here any special input files. Normally not needed.
+#------------------------------------------------------------------------------
+#j.inputsandbox = []
+#------------------------------------------------------------------------------
+
+#------------------------------------------------------------------------------
+# Define where to run
+#------------------------------------------------------------------------------
+# Run interactively on the local machine
+#j.backend    = Interactive()
+# Run directly on the local machine, but in the background
+#j.backend    = Local()
+# Submit to an LSF batch system, using the 8nm queue
+#j.backend    = LSF( queue = '8nm' )
+# Submit to a condor batch system
+#j.backend    = Condor()
+# Submit to a PBS batch system
+#j.backend    = PBS()
+# Submit to the grid.
+j.backend = Dirac()
+#------------------------------------------------------------------------------
+j.outputfiles = [ DiracFile("Lb_Lcstarmunu.root") ]
+#------------------------------------------------------------------------------
+# Submit the job
+#------------------------------------------------------------------------------
+queues.add(j.submit)
+#------------------------------------------------------------------------------