Closed mgheata closed 10 years ago
Thanks @mgheata , I will include these descriptions in the "metadata". For the last example, is it okay to link for further reading to http://aliweb.cern.ch/Offline/Activities/Analysis/AnalysisFramework/index.html ?
OK Thanks, Mihaela
@pherterich Can you please look at completing the rest?
This text is not yet linked in the metadata.
@tiborsimko @pamfilos They are in the MARC file https://github.com/cernopendata/opendata.cern.ch/blob/pu/invenio_opendata/testsuite/data/alice/alice-analysis-modules.xml but don't show (not even when you export the record to MARCXML). Can you check and let me know if I have to do anything Sorry @mgheata that this got a bit overlooked...
@pherterich This comes most probably from the fact that <br>
inside 520__a
of this record is not escaped. There, <
should be encoded as <
. Alternatively, CDATA
could be used, as in cms-tools-ana.xml
.
and that kills every other record in the file, too? That's really weird behaviour...
@pherterich Nope, it only affects current field value. The other records are well there, e.g. see record 1202 and friends.
Yeah, I understood then. #708 should fix the issue. Was a bit a miscommunication because so far, @pamfilos always added the CDATA wrapping to my html. Now I know how to get it right from the very beginning.
Hi Tibor, I worked a bit on the text to be put on each analysis module entry.
Looking for strange particles in ALICE
The exercise proposed here consists of a search for strange particles, produced from collisions at 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. You will have to identify the decay products and based on their momentum calculate the invariant mass to identify the decaying particle. (Read more…http://alice.physicsmasterclasses.org/MasterClassWebpage.html) ============= note the usage of subscripts and superscripts, I don't know if they will appear right)
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 modi cation factor RAA for unidenti fied charged particles. RAA is a measure for the di erence in particle production in pp and nucleus-nucleus collisions, taking into account the di erent collision geometries. RAA is defined as: RAA=Y(PbPb)/Y(pp)
where Y(PbPb) and Y(pp) are the yields (or number of particles per event) in PbPb and pp collisions, respectively, and is the average number of so-called binary nucleon-nucleon collisions, which have taken place in the collision of two lead ions. Since each lead nucleus consists of 208 nucleons, i.e. protons and neutrons, it is clear that a typical Pb-Pb collisions can be seen as a superposition of many pp collisions., which can be determined in the experiment, measures how many pp collisions should be equivalent on average to one Pb-Pb collision.
If the nuclear modi cation factor is equal to one, the production of particles in one Pb-Pb collision on average is the same as in independent pp collisions. Naively, this could be interpreted such that the physics of pp and Pb_Pb collisions is the same. RAA values different than one showing enhancement or suppression of certain flavours may indicate effects induced by the quark-gluon plasma (QGP). (read more… http://www-alice.gsi.de/masterclass/MasterClassWebpage_files/MasterClassBody_data/DocumentationEnVersion1.pdf)
Using the ALICE analysis framework.
The ALICE physicists are using custom tools which 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 p-p and Pb-Pb 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. A template analysis class extracting the inclusive transverse momentum and pseudorapidity spectra of all tracks can be modified to create your own analysis. This example requires further reading on the ALICE event data model.
Regards, Mihaela