by the AMVA4NewPhysics press office

Sorry if the title of this post is a bit deceiving – this post is addressed specifically to Italian students in HEP, at the level of “Laurea Magistrale” or first year PhD students.

So, the INFN has an opening for 16 internship positions at CERN, TRIUMF, Fermilab, and KEK. The students will spend their time on a project chosen among 25 different work plans. They will be followed full-time by an advisor at the laboratory. The gross salary is of 8064 euro. The details of the positions can be obtained at this site. The deadline is June 29th. More details and the application form are available on the Italian site of Commissione 1.

One of the proposed work plans involves a research we are carrying out at INFN-Padova: the search for anomalous production of Higgs boson pairs with the CMS detector. We have discussed the analysis in more detail in previous articles here – he who searches will find.

The scientific program is described as follows:

“Search for Anomalous Double Higgs Production with CMS”: The program foresees the analysis of Run 2 data collected by the CMS experiment in the search for pair production of Higgs bosons, a rare process in the SM (σ(SM, 13 TeV)=38 fb) which could however be strongly enhanced by anomalous values of five couplings whose value is at the time of writing not well constrained by direct measurement. The group searches for the HH→bbbb final state in multijet data. Due to its large branching fraction this is the most sensitive search channel. The group foresees to produce a limit to SM production in August; thereafter, with the help of the student, we will recast the search (by a full re-optimization of the analysis procedure) to exclude regions of the parameter space of the anomalous couplings, by considering 12 benchmarks as defined in a recent publication (A.Carvalho et al., “Higgs pair production: choosing benchmarks with cluster analysis”, J.Inst. 2016 (4) 1-28). The recasting will involve a tuning of the BDT classifier to account for the kinematical properties of the considered benchmarks and a study of how the extracted limits propagate to the full 5-dimensional space of model parameters.”

The skills required and to be acquired by the candidate are the following:

The trainee will be closely followed in daily research activities by the mentor (M. Tosi). He/she will identify, for each benchmark model, the most promising kinematical variables to discriminate the signal; then train a BDT classifier and optimize it; re-run the fit to extract limits; and finally extrapolate results to the full model space. In this activity the trainee will cooperate tightly with the other group members. During the first two weeks he/she will be trained to train and test the classifier. In the following two months the trainee will optimize the classification for the 12 benchmarks. The last period of internship will be spent to extract limits on model parameters. The initial competences required are familiarity with C++ and root (python welcome). After the training the student will be at ease with multivariate analysis applications to high-energy physics problems.

But hurry up! The applications deadline is June 29th!

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