2017 CMS-Caltech-CERN Summer Students

Practicalities

Please fill out this form with your travel details, and update it as your plans evolve.

Accounts

PLEASE READ THIS SECTION CAREFULLY AND ENTIRELY

Follow these instructions to register with CERN and CMS

Put Tracy Sheffer as our institute contact for the CMS registration, and she will sign your Home Institute Declaration.

If you ARE GOING TO CERN:

• CHECK YOUR VISA STATUS RIGHT NOW. For US citizens spending less than 90 days, you do not need a visa.
• START THINKING ABOUT HOUSING. See next section.

• full name (Name Surname)
• preferred username
• preferred shell (bash, tcsh)
• ssh public key(s)
• email address
• Certificate DN
• CERN hypernews account name

Housing at CERN

From a local university, including housing and health insurance information: http://mygisa.ch/guide/

CERN-specific housing advice (rest of site is also very useful): http://newcomerwelcomecenter.weebly.com/short-term-rentals.html

Hostel preferred in Geneva : http://www.cstb.ch/

Also see the CERN User's Office site: http://usersoffice.web.cern.ch/regional-info-geneva-france

CERN market

http://www.glocals.com/

https://www.airbnb.com/

http://www.residhome.com/uk/hotel-residence-aparthotel-prevessinmoens-192.html -- a bit out of the way, but with a CERN bike or the CERN shuttle from Prevessin site it's tolerable.

Tutorials and Guides

CMS-Caltech ROOT tutorials

Practical Deep Learning for Coders

Twiki of past years

Twiki pages of the 2016 Summer Student season with links to years before that on the bottom this page :

https://twiki.hep.caltech.edu/twiki/bin/view/Main/Summer2016

Projects

Instrumentation

Silviu-Marian Udrescu, CERN, "Detailed simulation of planar semiconductor sensors for precision timing" with Adi, Si and Cristian

Planar semiconductor sensors are used for precision timing detectors in high energy physics. In calorimetric applications the sensors are exposed to a shower of ionizing radiation induced by a high energetic primary particle. The goal of the project is to perform simulation studies of the shower interactic with the sensor to get a precise understanding of the energy deposited in the sensor material. Different sensor materials such as Silicon, Silicon-Germanium and Cadmium-Tellurid will be studied as well as different sensor geometries exposed to different parts of the particle shower. The simulations are performed with the GEANT simulation package either in an embedded application derived from CMS software or in a standalone application.

AI Methods

Vitória Barim Pacela, CERN, LCD particle ID and regression with Amir, Maurizio and JR

Silviu-Marian Udrescu, CERN, LCD particle ID and regression with Vitoria et al.

Yikai Huo, Caltech, Charge Particle Tracking (with Dustin and Stephan)

Sarang Mittal, Caltech,

Avikar Periwal, Caltech, Based Multi-class Jet Tagging with Deep Learning (idea from Jesse Thaler)

Danny Weiterkamp, Caltech

Physics

Jamie Bamber, Caltech, Dark Matter (low mass)

Gillian Kopp, CERN, Dark Matter + displaced photons / Timing

Daniel Gawerc, CERN, Dark Matter + displaced jets / Timing

Stephanie Kwan, Caltech, Higgs to gamma gamma lepton boxes

Projects

Simulation studies of the CMS ECAL photon timing using crystal calorimeter and timing layer information.

The Phase II upgrade of the CMS detector will enhance the timing performance of the crystal calorimter to about 20 ps and possibly add a precision timing layer in from of the calorimeter. The calorimeter is primarily destined to measure the time of arrival for high energy electromagentic clusters and the timing layer will target charged particles. However high energy electrons will feature a precise time measurement in the timing layer and the calorimeter. Further, the electron impacting on the calorimeter will result in a certain amount of front leakage. The goal of the project is to study the timing performance for electrons using both detectors, the impact on front leakage on timing measurements in the timing layer and to study the viability to use front leakage for calibration of the timing layer as well as timing measurements of photons.

Detailed study of regression based photon energy reconstruction

Regression algorithms are used to reconstruct the energy of photons in CMS. The algorithms use the topology of the hit pattern in the CMS ECAL and additional information from other subdetectors if available. The algorithms are trained on large MC samples. The validation of the trained algorithms is performed on MC samples as well as data. Choosing the input variable to the regression and evaluating the performance of the regression requires detailed knowledge of the respective detectors, the physics underlying the detection process and the capabilities of the simulation. The goal of the study is to develop a evaluation strategy for the regression results which is based on numerical evaluation of the results. As a second step a feedback mechanism shall be implemented which systematically tests the choice of input variables and their impact on the regression results.

Evaluation of the timing performance of light based detectors

Scintillator based detectors with SiPM or MCP readout are used for precision timing measurements of ionizing particles. The goal of this project is to use the exisiting picosecond laser test setup at CIT to test the performance of SiPMs, Scintillator/SiPM as well as Scintillator/WLS/SiPM combinations to evaluate their timing performance.