Using the ALICE analysis framework
ALICE physicists use custom tools that facilitate the analysis of real or simulated ALICE data samples. This example demonstrates the use of the ALICE analysis framework on small samples of both pp and PbPb data taken in the year 2010. The user analysis is represented by a C++ class, which has to implement a few predefined methods to process one interaction event
Looking for strange particles in ALICE
The exercise proposed here consists of a search for strange particles, produced from collisions at the LHC and recorded by the ALICE experiment. It is based on the recognition of their V0-decays, such as Kos → π+π-, Λ→ p + π- and cascades, such as Ξ- → Λ + π- ( Λ → p + π-). The identification of the strange particles is based on the topology of their decay combined with the identification of the decay products; the information from the tracks is used to calculate the invariant mass of the decaying particle, as an additional confirmation of the particle species
Nuclear Modication Factor RAA
In the year 2010, data from the first heavy-ion collisions at the LHC have been recorded by the experiments. The ALICE experiment, which is well suited for the measurement of the properties of particles in high particle density environments, has measured the nuclear modification factor RAA for unidentified charged particles. RAA is a measure for the difference in particle production in pp and nucleus-nucleus collisions, taking into account the different collision geometries
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