Transcript Slide 1

LUND-HEP EST
Students´ Point of View
Alexandru Dobrin
Lund University
21.09.2007
Partikeldagarna 2007
Alexandru Dobrin
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Overview
HEP-EST school
• Who are we
• Courses
• Problem Based Learning
• Supervised research
• Conclusions
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HEP-EST School
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Official start mid-August 2006, student arrival
1st of October 2006
Integrate theory and experiment
Step 1: courses October 2006-end 2007
 Use PBL as a learning tool at the graduate
level
Step 2: supervised research 2007-2010
Program finished mid-August 2010
http://www.hep.lu.se/Lund-HEP/
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Who are we
HEP-EST EU school on LHC physics (joint theory-experiment)
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Nele Boelaert (BE)
Lisa Carloni (IT)
Richard Corke (UK)
Alexandru Dobrin (RO)
Christoffer Flensburg (SE)
(faculty LU TP)
Jacob Groth-Jensen (DK)
Wei-Na Ji (CN)
Jie Lu (CN)
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Courses
Problem Based Learning:
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Introduction 1.5 ECTS [Johan Bijnens]
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Relativistic quantum mechanics and quantum field theory (QFT)
7.5 ECTS [Johan Bijnens]
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A non-interacting scalar field
A non-interacting fermion field
Interaction and Feynman Rules
QED and applications
Divergences and how do we treat them
Numerical methods in physics (NUM) 7.5 ECTS [Leif Lönnblad]
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Numeric integration
Monte Carlo
Optimization and minimization
Ordinary differential equations
Partial differential equations
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Courses
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Phenomenology and experiment of particle physics (PEPP) 15 ECTS
[Leif Lönnblad/Johan Bijnens/Paula Eerola/Anders Oskarsson/Evert
Stenlund]
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Matrix element description of hard processes
QCD cascades
Multi-particle production
Hadronic collisions
Minimum bias
Event properties
Basics of heavy ion physics
Flavour physics at the LHC
An experiment from start to end
Higgs detection from beginning to end
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Courses
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The standard model and extensions (SME) 7.5 ECTS [Johan Bijnens]
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Parameters of the Standard Model
Symmetries of the Standard Model
Non-perturbative methods
Extensions of the Standard Model I
Extensions of the Standard Model II
Experimental techniques in particle physics (EXP) 7.5 ECTS [Anders
Oskarsson/Torsten Åkesson]
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Interaction by particles in matter creates detector signal
Tracking for momentum and particle identification
Calorimetry and lepton identification
Analog and digital processing of detector signals
Accelerator techniques
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Courses
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Statistics and error analysis and data analysis for particle and nuclear
physics (SED) 7.5 ECTS [Oxana Smirnova/Evert Stenlund]
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Principles of data correction
Experimental errors
Distributions
Event reconstruction
Understanding a sampling calorimeter
6 ECTS complementary training: communication & presentation
techniques, entrepreneurship, leadership & management
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Problem Based Learning
We tried a new (for us) methodology
Problem Based Learning
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Group based
It is not a group project (see below)
Basic idea: get prepared for life-long learning
Provides better motivation then traditional
lectures
It does not save time w.r.t. traditional lectures
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Problem Based Learning
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Have a short story for a start
Use this to discuss and determine what should be
learned
Go out and learn it
Not a group project: everyone should learn
everything
Find out what everyone has learned and evaluate
Repeat with new subject/story
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Problem Based Learning
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Problem Based Learning
Formalize into 7 steps after obtaining scenario/story:
1. Clarify terms and concepts not readily comprehensible.
2. Define the problem.
3. Analyse the problem.
4. Draw a systematic inventory of the explanations inferred
from step 3.
5. Formulate learning objectives, followed by a few days of
studies and work
6. Collect additional information outside the group and
second meeting.
7. Synthesize and test the newly acquired information. A
report is produced. The group evaluates how the work
has gone and the meeting ends.
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Supervised Research
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LHC Experiments
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Theoretical Physics
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ATLAS
ALICE
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e-p collisions
Heavy ion
collisions @ BNL
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R&D
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Strong interaction
Electroweak
interaction
Large extra
dimensions
ILC
Non-EPP
applications
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Conclusions
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Good for small topics, doesn’t fit for building entire theories
step by step
Insures that everybody understands the topics
Learn to deal with a problem and work in a goal-oriented way
Things learned tend to stick longer in the memory
Due to every group member’s contribution, PBL can also
enrich the information about the topics
PBLs are time consuming comparing with the normal courses
Also requires a lot of work from the supervisor
Doesn’t work well for theoretical courses
Find something in the middle between PBL and normal lectures
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Conclusions
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The idea of making a strongly interacting group of
theory + experiment people is interesting
Got a chance to learn useful skills for following
research work
Need to ensure that group interaction continues into
research stages (we are already splitting off to our
separate research areas)
Keep up with science coffees and soccer games!
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Thank you for your attention!
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