Course proposal (2021-2022)
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| Title | 01- Introduction to Supersymmetry |
| Prof. | Igor Pesando, pesando@to.infn.it |
| CFU | 5 |
| Period | Every Tuesday and Wednesday from 16 November to mid December, h 11:15-12:45, Aula Fubini |
| Prerequisites |
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| Programme | *Chiral multiplet in 4D,Coleman-Mandula theorem, R symmetry, susy action for chiral superfield, non renormalization theorem and holomorphy * Vector multiplet in 4D Wess-Zumino gauge, susy action for vector multiplet * Susy breaking: O' Raifeartaigh model, Fayet-Iliopoulos model, soft breaking * Basic of MSSM the action and unwanted symmetries * Moduli space of the vacua and IR effective description |
| Note(s) | Students who are willing to attend this course are **REQUESTED** to register by sending an email to the teacher |
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| Title | 05- Effective field theory techniques for New Physics searches |
| Prof. | Martin Jung, martin.jung@unito.it |
| CFU | 5, 20 hrs |
| Period | April-May 2022 |
| Prerequisites |
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| Programme |
Effective
field theories (EFTs) constitute an essential technique in physics,
allowing for the systematic separation of largely different scales in a
problem, i.e. for exploiting hierarchies.
Such hierarchies occur everywhere in physics; in the Standard Model (SM) examples are the hierarchy between the masses of the massive gauge bosons and the top quark compared to those of all other fermions, or the mass of the bottom quark compared to typical hadronic scales. Importantly, the absence of indications for new states beyond the SM ones indicates that such states might be very heavy. As a consequence, their impact on low-energy observables can be treated in an EFT framework; precision measurements at much lower energies can then be used to constrain New Physics models strongly, even if the corresponding states cannot be produced at existing colliders. The plan of the course is to introduce EFT techniques in general, discussing their applicability and restrictions. The developed methods are then applied to specific classes of observables relevant to the discourse of NP, in order to explicitly demonstrate how constraints on NP scenarios are obtained. |
| Note(s) | Students wishing to take this course must register with the teacher via email |
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| Title | 06- Introduction to on-shell amplitudes |
| Prof. | Simon Badger, simondavid.badger@unito.it |
| CFU | 6, 24 hrs |
| Period | March-April 2022 |
| Prerequisites |
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| Programme | Scattering amplitudes can be seen as fundamental building blocks for
Gauge, Gravity and String theories. The study of their mathematical
structure has led to many new insights into connections between
seemingly unrelated topics as well as enabling new computations
unfeasible with conventional techniques. In this course I will cover
some of the new methods that are now being used to provide efficient and
precise predictions for higher order corrections at colliders. 1) Spinor-helicity methods for massless and massive particles. 2) Tree-level techniques: on-shell and off-shell recursion. 3) Loop amplitude techniques: unitarity, integrand reductions, IBPs and finite fields, differential equations and special functions. 4) New methods for gravity amplitudes: the double-copy and applications to gravitational waves. |
| Note(s) | Students wishing to take this course must register with the teacher via email |
| Title | 10-Hands on fitting and statistical tools for data analysis |
| Prof. | Giacomo Ortona, gortona@cern.ch |
| CFU | 4
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| Period | TBD |
| Prerequisites | Make sure before the classes to have an account on the local machines, or bring your laptop with a ROOT/RooFit installation |
| Programme | The class will have an exercise oriented approach, with quick reminders
of the statistical theory and a large fraction of time dedicated to
practical examples. Fitting Tools Usage of the RooFit library: Signal and background modelling, fitting and plotting Treatment of extended Fits, Conditional Probability Density Functions, Toy Monte-Carlo generation Statistics Tools Usage of the RooStats library: Hypothesis testing Determination of Upper Limits Determination of confidence intervals in likelihood ratio and Feldman-Cousins approaches Determination of probability intervals in Bayesian approaches Bayesian numerical calculators vs Markov-Chains MC approach |
| Bibliography |
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| Notes |
Students wishing to take this course must register with the teacher via email |
Title
12- Bayesan inference
Prof.
Stefano Camera, stefano.camera@unito.it
CFU
1
Period
TBD
Programme
Bibliography
Notes
Students wishing to take this course must register with the teacher via email
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| Title | 17-Neutron Imaging and Neutron Diffraction |
| Prof. |
Prof. Francesco Grazzi, f.grazzi@ifac.cnr.it |
| CFU | 3 |
| Period |
Spring 2022 (april-june) |
| Prerequisites |
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| Goal |
Learning the basic principles of neutron-matter
interaction, and how to exploit them to study matter. |
| Programme |
Thermal and cold neutron-matter
interaction, elastic scattering law, cross section. (1 hr) Principles of neutron
production, concept of neutron beamlines (1 hr) Neutron imaging, Lambert beer
law, attenuation law, neutron geometry and optics, example of beamlines, data
analysis (radiography and tomography) (3 hrs) Neutron diffraction, Bragg law,
scattering law, basics of crystallography, neutron instrument geometry and
parameters, data analysis (Rietveld refinement using GSAS code) (3 hrs) Tutorial on the use of imaging
and diffraction software. (2 hrs) Practical exercise on data
analysis. (2 hrs) |
| Bibliography |
Course
material and references will be distributed throughout the course |
| Note(s) |
Lessons are
given in open seminar form. Students wishing to take this course must register with the teacher via email |
MGRECO
