update lhcbsk paths to point at wp7 dir

first-analysis-steps/files-from-grid.md

@@ -47,7 +47,7 @@ Lots of people downloading the same file at the same time can be very slow.
 As a workaround, the file is also available on EOS, and can be downloaded to
 your current directory with the following command:
 ```bash
-$ xrdcp root://eosuser.cern.ch//eos/user/l/lhcbsk/data-sets/00070793_00000001_7.AllStreams.dst .
+$ xrdcp root://eoslhcb.cern.ch//eos/lhcb/wg/dpa/wp7/Run2SK/files-from-grid/00070793_00000001_7.AllStreams.dst .
 ```
 
 {% endcallout %} 

second-analysis-steps/rerun-stripping.md

@@ -27,7 +27,7 @@ Take a look at the file and try to find out what has changed compared to the [mi
 Lots of people downloading the same file at the same time can be very slow.
 The file in the minimal DaVinci example can be copied using this command:
 ```bash
-$ xrdcp root://eosuser.cern.ch//eos/user/l/lhcbsk/impactkit/00070793_00000001_7.AllStreams.dst .
+$ xrdcp root://eoslhcb.cern.ch//eos/lhcb/wg/dpa/wp7/Run2SK/files-from-grid/00070793_00000001_7.AllStreams.dst .
 ```
 
 {% endcallout %}

second-analysis-steps/simulation-gencuts.md

@@ -61,7 +61,7 @@ The second option is usually easier and in the example used so far only requires
 Generation().SignalPlain.CutTool = ""
 ```
 which must be included after `27163003.py` is sourced (e.g. in `Gauss-Job.py`). You can convince yourself that this alters the observed
-distributions and leads to a generator level cut efficiency of 100%. A large sample can be found on EOS: `root://eosuser.cern.ch//eos/user/l/lhcbsk/sim-lesson-2019/Gauss-27175000-modified-50000ev-20190515.xgen` (includes additional resonance added above).
+distributions and leads to a generator level cut efficiency of 100%. A large sample can be found on EOS: `root://eoslhcb.cern.ch//eos/lhcb/wg/dpa/wp7/Run2SK/simulation/Gauss-27175000-modified-50000ev-20190515.xgen` (includes additional resonance added above).
 Have a look at the pseudorapidity distribution of the head particle. This illustrates another default behavior of the generation of signal decays in Gauss: The generated events' z-axis if inverted if the selected signal particle's momentum along that axis is negative.
 
 
@@ -96,7 +96,7 @@ tightCut.Cuts = {
    '[mu+]cc': 'inAcc'
 }
 ```
-You can again check that this works and a larger sample of 10,000 events can be found `root://eosuser.cern.ch//eos/user/l/lhcbsk/sim-lesson/GaussTightCut-27163003-10000ev.xgen`
+You can again check that this works and a larger sample of 10,000 events can be found `root://eoslhcb.cern.ch//eos/lhcb/wg/dpa/wp7/Run2SK/simulation/GaussTightCut-27163003-10000ev.xgen`
 .
 You might also notice a slight slow-down in the rate at which events are produced: by default, 
 an event failing the generator cut (which is applied after Pythia and EvtGen are done) triggers a reset of

second-analysis-steps/simulation-running-gauss.md

@@ -87,7 +87,7 @@ See if you can generate a generator level only sample for event type `27175000`
 ## Make an nTuple
 
 The `.xgen` file can be processed into something more usable (copied together from [here](https://gitlab.cern.ch/lhcb-datapkg/Gen/DecFiles/blob/master/CONTRIBUTING.md#)).
-A larger input file containing 50,000 generated events for event-type can be found on EOS: `root://eosuser.cern.ch//eos/user/l/lhcbsk/sim-lesson-2019/Gauss-27175000-50000ev-20190515.xgen`.
+A larger input file containing 50,000 generated events for event-type can be found on EOS: `root://eoslhcb.cern.ch//eos/lhcb/wg/dpa/wp7/Run2SK/simulation/Gauss-27175000-50000ev-20190515.xgen`.
 ```python
 """Configure the variables below with:
 decay: Decay you want to inspect, using 'newer' LoKi decay descriptor syntax,