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The Heavy Photon Search Group at SLAC is collaborating with physicists at Jefferson Lab, Fermilab, UCSC, INFN in Italy, and Orsay and Saclay in France in an experiment aimed at discovering a hidden-sector , or "heavyphoton. Such a particle would have mass in the range 0.02 01 to 10.0 3 GeV, couple weakly to electrons, and decay to e+e-. It would be produced by in electron bremstrahlung bremsstrahlung on a heavy target, and be identified as a narrowresonancenarrow resonance. The very weak couplings of the heavy photon to electrons account for its having not yet having been discovered and can would give rise to separated vertices in its decay, providing a spectacular signature.

Heavy photons have become a hot topic because they may explain the abundance of high energy electrons and positrons in cosmic rays and be intimately linked to dark matter and the existence of hidden sectors. Our light dark matter, an interesting alternative to the SUSY wimps which no one is finding. If the Dark Matter is lighter than about 1 GeV, there is a strong case that a new force, like the hidden photon, must mediate dark matter decays and interactions. Our primary effort at SLAC is the Heavy Photon Search experiment (HPS). During 2011 and 2012, we built, installed, commissioned, and ran the HPS Test Run Experiment at JLab during Spring 2012. The experiment used LHC style readout of silicon microstrip detectors for tracking and vertex reconstruction ofpairs and a PbWO4 crystal calorimeter to deal with the extremely high trigger rates expected. The run successfully demonstrated that backgrounds are manageable and that the apparatus worked as designed. Following the run and the submission of a new proposal, DOE has . Following a successful test run, DOE approved and funded the Heavy Photon Search Experiment. The full experiment was installed and commissioned at JLAB has scheduled running time in 2014 and 2015 early in 2015, and has taken data in two Engineering Runs, one in 2015 and the second in 2016, which demonstrated its physics readiness and led to full JLAB approval. The bulk of our running is scheduled for 2018-2020.

HPS offers opportunities for rotation students to begin work in a number of areas. We are  analyzing our data from the 2015 and 2016 runs, so bump hunt and vertex search analyses are being developed and refined. In addition to searching for heavy photons, we've recently expanded our menu to search for Strongly Interacting Massive Particles (SIMPs) that decay via a heavy photon. As we prepare the data for these analyses, we are putting the finishing touches on calibrations, alignment, and improved tracking algorithms. To prepare for major data taking runs in 2018 and beyond, we are training a new crew to operate the silicon vertex tracker (SVT), the SVT DAQ, and the HPS beamline. We are also building new silicon modules to upgrade the performance of the SVT. This project will offer new students hardware, commissioning, and data taking experience.   HPS is a very small experiment HPS offers many opportunities for rotation students. Simulation studies are needed, tracking pattern recognition and vertexing code is being improved, the data acquisition system for the experiment is being refined and upgraded, a new silicon tracker/vertexer is being designed and built, detector monitoring software is being coded, and the physics analysis is being developed. This experiment is very small by modern standards, but exploits cutting edge detection and readout technologies to address a very fascinating piece of physics. It provides a perfect opportunity broad education for a thesis studentstudents, offering including all aspects of experimental work, from design to hardware implementation to data analysis. Rotation Projects are available for Summer 2017 and the 20132017-2014 2018 academic year, outlined below. 

Our SLAC The HPS group is also involved in the APEX experiment, which has already completed a test run in 2010 and published results of its initial search, excluding a new region of heavy photon parameter space. The experiment makes use of two existing spectrometers in Jlab's experimental Hall A. The experiment hopes to take more data during the 2013-2014 JLab cycle and we hope to contribute. John Jaros.

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helping to initiate a new experiment, the Light Dark Matter Experiment (LDMX), which would run in 2020 at SLAC. LDMX is a search for invisible decays of a heavy photon, complementary to the direct decays sought in HPS. LDMX will be sensitive to thermally produced light dark matter. A hidden sector is expected to have both force particles, like the heavy photon, and matter particles, like the light Dark Matter. Accelerator experiments like HPS and LDMX may be the key to finding the first evidence of hidden sectors in nature.

John Jaros.

An introduction to HPS for Physics 290 is given here: Physics 290 11.07.2016.pptx

Possible Projects for 2018-2019

Contact information

Takashi Maruyama

Project Title

Contact Person

Student

Silicon Tracker Module Construction and TestHPS Upgrade

Tim Nelson

 

Beamline Protection StudiesSimulation

Takashi Maruyama

 

Optimizing the HPS DesignAnalysis

Matt Graham

 

Hybrid and Readout Construction and Test

Per Hansson

 

HPS Trigger Studies

Sho Uemura

 

New Beam Dump Experiment

Tracking Studies

Norman Graf

 

Projects

  • Study the performance of the Silicon Vertex Tracker using the 2016 engineering run data and compare it to Monte Carlo.  This includes understanding the time resolution, occupancy and resolutions.  Skills:  C++, Java and ROOT. 
  • Study how machine learning can be used improve the identification and rejection of background.  For example, can a machine learning algorithm making use of hit and timing information be used to reject wide angle bremsstrahlung events. Skills: python, matplotlib, scikit-learn and possibly tensorflow. 
  • Improve the performance the fit algorithm used to extract information from the raw hit samples readout from the SVT.  Skills: C++, Java, Minuit and ROOT.
  • Improve the simulation of HPS backgrounds. Skills: C++, Geant4
  • Develop a procedure to quickly align the SVT. Skills: Java, python, Millipede