ATLAS Analysis

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Links of interest:

LAr calorimeter twiki LAr Calorimeter

Tile ATLAS calorimeter web page Tile Calorimeter

ATLAS trigger web page ATLAS Trigger

MBTS system ATLAS MBTSMBTS Trigger

Inner detector information Inner Detector

ZDC related analysis

The ATLAS ZDC (Zero Degree Calorimeters) group maintain a twiki page with information on technical activities, hardware and software information, relevant for the detector performance and for the analysis of data. ATLAS ZDC twiki. The ZDCs are small detectors (calorimeters) located at both sides of the ATLAS IP (upstream and downstream) mounted in the beam pipe, at ~140 m far from the IP. They are sensitive to neutral particles which are produced at a very small angle with respect to the beamline (mainly neutrons and photons), but they can also detect other neutral particles.

Coulomb dissociation analysis

Still in progress...will be updated soon

Possibly of electromagnetic nature

File:ZdcCorr A-C PhotoAND+ZdcAND.png

Heavy meson analysis

At the moment, the group is searching for D(*) mesons reconstruction in pp collitions, in order to extend the study for the heavy ions collitions that have been recently produced at the LHC Experiment at CERN.

We're trying to reproduce some already performed reconstruccions first on the mentioned events, and from that base going towards the heavy ions. At the moment, we're running studies on the best way to treat data, and the best way to process it, specially concentred on some newly developed containers, particularly the D3PD, which are fairly more simple to read and process than the previous. Specially interesting pages are the one with the contents and the one with the track information, the second one is very usefull for what we want to do, just like the page with trigger information. The main advantage of D3PD are that while AOD or ESD must be analysed with Athena, this can be with ROOT (even at home!), and you don't need to make great processing in order to have the data you want.

As part of the D3PD use, we must select the data that we want, and save it on lighter files that are going to be processed later. This is called slimming and skimming the D3PD, a very good reference in order to do this can be found here and here. This can be done just with ROOT and no aditional tools are required. But if the data amount is large, we can do it on the Grid with PanDA Run.

Many of those pages hold information on analysing D3PD files, but a very good start on it is at the Physics Analysis Workbook, where they show how to start the analysis with TTree::MakeSelector() method.

A reference on the studies on D meson reconstruction can be found here.