Final Reports:

Test Beams and Timing

Time-based vertex reconstruction in CMS - Ben Bartlett

Designed a vertexing algorithm for the future HGC (High-granularity calorimeter) using only spatial and timing information to reconstruct interaction vertex locations to sub-millimeter precision, and applied this to Higgs to di-photon events.

HGCal simulation analyses for CMS - Sarah Marie Bruno

Compared the performance of the current ECAL (Electromagnetic calorimeter) and the future HGC for the Higgs to di-photon channel. Also worked at the CERN test beam with a prototype Shashlik detector.

Study of ECAL timing effects due to transparency using Pi0 decays from CMS - Kai Chang

Precision timing analysis of July 2015 test beam data - Mohammad Hassan Hassanhashahi

Worked at the CERN test beam with a prototype Shashlik detector, and measured the timing resolution and properties of the rising edge of pulses from a Hamamatsu MCP-PMT.

Timing resolution studies of Hamamatsu silicon photomultipliers - Eric Liu

Direct tests of a pixelated Microchannel Plate as the active element of a shower maximum detector - Federico Presutti

Machine Learning

Tracking by Neural Nets - Arash Jofrehei

Machine learning techniques for razor triggers - Marina Kolosova

Machine learning for fast data transfers - Nikhil Krishnan

Optimizing SUSY searches at CMS using machine learning techniques - Yuting Li

Convolutional neural network - Sahand Seifnashri

13 TeV Razor Analysis

Developing a search for dark matter direct production using razor variables at 13 TeV - Jared Filseth

Measured jet transverse momentum resolution and bias in pointing reconstruction, hadronic razor trigger efficiency, and electron/muon reconstruction efficiencies in 8 TeV data and 13 TeV Monte Carlo samples for the razor analysis.

CMS introduction course (July 8th - 10th) :