DOE-INFN Summer Students Exchange Program 2019 Edition at INFN Padova
The US Department of Energy (DOE) and Istituto Nazionale di Fisica Nucleare of Italy (INFN) announce the 2019 edition of the Summer Exchange Program dedicated to promote the exchange of students in science between the two countries.
INFN is one of the leading organization worldwide promoting basic scientific research and has tight connections with DOE activities in many areas of interest: Particle Physics, Astroparticle Physics, Nuclear Physics, Theoretical Physics and Detector Physics.
We call for applications of US students willing to join a INFN research team in ltaly for a two-month period between June 1st and October 31st, 2019.
Grants amount to Euro 5000 for covering trave} and living expenses. They are subjected to a 30% reduction due to Italian incarne taxes.
Applications must be sent to INFN, via electronic form, not later than April 10th, 2019 (11.59 pm CET) through the website: https://reclutamento.infn.it/ReclutamentoOnline/
choosing “Starting Fellowships” (Borse), Call number: 14945.
In the “Attachments” section you will find the description of student requirements, info on coverage of travel and living expenses, and the description of the available activities for each site.
Available positions at Padova
Title: Use of combined b-tag methods for b- and 𝑏 ̅-jets identification in the forward region at LHCb exploiting deep-learning techniques
Description: The LHCb experiment at CERN has already demonstrated its capability of performing measurements with b-jets. With the upgraded detector, the experiment will have the possibility to collect a huge sample of jets important for several measurements like the b 𝑏 ̅ asymmetry where new physics can manifest its self.
LHCb has the possibility to increase the capability to distinguish b-jets from 𝑏 ̅ -jets by combining the information of all the tagging methods therefore exploiting their correlations. Additional improvements can arise from the use of new computing algorithms based on deep learning techniques. The proposed project sees a student involved in the understanding of the b- and 𝑏 ̅ -jets properties. Thereafter, he/she will be involved in the training and optimization of a deep neural network using simulated data. Then, the algorithm will be applied to data collected during the current data taking to measure the performance.
The project is structured in different phases in which the student will:
– learn the concept of b- and 𝑏 ̅ – jet objects, how they are identified, the so called b-tag techniques;
– learn the deep neural network algorithm and its implementation in LHCb software;
– train the algorithm using simulated data to distinguish b- and 𝑏 ̅ -jets;
– apply the algorithm to collider data.
The student will have the possibility to work with a physicist expert on jet reconstruction and with a
Title: Test of Lepton Flavour Universality with LHCb exploiting multivariate techniques
Description: In the Standard Model (SM), the couplings of the gauge bosons to the leptons are in-dependent of the lepton flavour. As a consequence the semi-leptonic branching fractions differing only by the flavour of the final state leptons can differ only by phase space and helicity-suppressed contri- butions (the Lepton Flavour Universality or LFU). The LFU appears in the SM by construction and therefore any violation of it would be a clear sign of physics beyond the SM. Hints of non universality have already been observed in Electroweak Penguin processes (B± K±l+l− and B0 K∗0l+l−) and in the semi-tauonic B meson decays (R(D∗) = (B¯0 D∗+τ −ν¯τ )/ (B¯0
D∗+µ−ν¯µ) by the BaBar, BELLE and LHCb experiments making this subject a very interesting research
The candidate will participate to the study of LFU with the LHCb detector through the study of b-Baryon decays. LHCb is in fact the only experiment that has the capability to study in detail these types of semileptonic decays and therefore to check the universality in the baryonic sector.
The candidate will study in particular Λb semi-tauonic decays proceeding involving baryons aiming at the the measurement of the ratio RΛ (2625) = B(Λ0 → Λ+(2625)τ −ν¯τ )/B(Λ0 → Λ+(2625)µ−ν¯µ).
In the first part of the project the student will be involved in the study of the separation between signal and background for run2 data by means of multivariate classification algorithms exploring also the performance deep neural network classifiers. In the second part of the project the student will refine a multidimensional fit algorithm to extract the semi-tauonic signal yield and perform simulated pseudo-experiment to determine the sensitivity of the signal extraction method.
Phone: +39 049 9677079
Room: 133 (1st floor)
Phone: +39 049 9677080
Room: 133 (1st floor)
June 13th is a local holiday in honor Sant’Antonio.
On your arrival
On your arrival, please, contact within two days the Summer Exchange Program Secretariat
from Monday to Friday (9.00-13.00/1500-17.00).
They will communicate your arrival to the Police-headquarters, sending them
your passport copy.
You don’t need to request a “Residence Permit” (permesso di soggiorno).
Then you have to get in touch with the INFN Administration office which will provide you a standard scheme for
INFN will provide you one free “tickets restaurant” per day to be used for lunch (up to 7.00 Euro).