Current Projects
Compact Muon Solenoid (CMS) experiment: The Large Hadron Collider (LHC) at the European Laboratory for Particle Physics (CERN) is the highest energy collider ever constructed. It consists of two counter-circulating proton beams made to interact in four locations around a 17 mile ring straddling the border between Switzerland and France. The goal of the LHC is to probe the basic building blocks of matter and their interactions. The Compact Muon Solenoid (CMS) experiment sits at one of the four interaction regions of the LHC to observe the products of the proton-proton collisions. CMS and its sister experiment Atlas have already produced exciting results such as the discovery of the Higgs Boson in 2012, leading to the 2013 Nobel Prize in Physics. They are now embarking on an evolving series of upgrades and data taking periods over the next 15 years to realize the full scientific potential of this machine. CMS is a general purpose physics detector capable of answering a wide variety of physics questions, amongst them: What is the dark matter which pervades the universe? Does space-time have additional symmetries or extend beyond the 3 spatial dimensions we know? What is the mechanism stabilizing the Higgs mass from enormous quantum corrections? Are neutrinos, whose only SM interactions are weak, their own anti-particles? Can the theories of gravity and quantum mechanics be reconciled?
Website: http://cms.web.cern.ch
Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP): The objective of the IRIS-HEP software institute is to develop the next generation software tools which will allow the HEP community to meet the significant data challenges of the planned High Luminosity upgrade of CERN's Large Hadron Collider (LHC) and other HEP facilities in the 2020s.
Project Website: http://iris-hep.org
TAC-HEP: Training to Advance Computational HEP in the Exascale Era: The DOE-funded TAC-HEP project aims to train the next generation of computational scientists and research software engineers for High Energy Physics research. Graduate students involved in the project follow targeted coursework and training modules on computational topics as well as participate in computationally focused R&D activities.
Project Website: https://tac-hep.org
HEP Software Foundation (HSF): The HEP Software Foundation (HSF) facilitates coordination and common efforts in high energy physics (HEP) software and computing internationally. In 2016-2017, thee HSF worked to develop a consensus roadmap for HEP Software and Computing R&D for the 2020s. Today it continues to catalyze research software collaborations across the community through a series of working groups, training activities and workshops.
Website: http://hepsoftwarefoundation.org
HSF-India - Research Software Networks in Physics: The HSF-India project aims to join networks in India to networks in the U.S. and Europe to build the international research software collaborations required to reach the science goals of experimental particle, nuclear and astroparticle physics experiments.
Project Website: http://research-software-collaborations.org
CoDaS-HEP: Computational and Data Science in High Energy Physics: The annual CoDaS-HEP summer school, held at Princeton University, provides a broad introduction to computational and data science skills as well as an overview of applications High Energy Physics.
Website: https://codas-hep.org
FAIROS-HEP: FAIR and Open Science for High Energy Physics: The FAIROS-HEP research coordination network aims to foster the adoption of practices and cyberinfrastructure to enable reuse and reinterpretation of high energy physics (HEP) datasets.
Website: https://fairos-hep.org
The Future of Meetings for Scientific Collaboration: To investigate new models for the evolution and effective use of hybrid and virtual meetings within a globally distributed scientific collaboration.
Link: https://sloan.org/grant-detail/10438
Past Projects
Open Ventilator Monitoring System for COVID-19: This project developed an inexpensive respiratory flowmeter system for non-invasive ventilation systems, based on readily available commercial components. It is now available as a commercial product.
Website: https://ventmonitor.princeton.edu
Software Institute Conceptualization: The S2I2-HEP conceptualization project created a strategic plan for a possible NSF SI2-S2I2 software institute that would support the High Luminosity upgrade of the Large Hadron Collider (HL-LHC) at CERN in the 2020s. The S2I2-HEP project also worked with the international HEP community and the HEP Software Foundation (HSF) to prepare a Community White Paper (CWP) describing a global roadmap for HEP Software and Computing R&D for the 2020s. These documents were the basis for a proposal which eventually led NSF to fund the IRIS-HEP software institute.
Project website: http://s2i2-hep.org
Parallel Kalman Filter Tracking: The Parallel Kalman Filter Tracking project aims to develop charged particle track reconstruction algorithms based on the Kalman Filter that are fully vectorized and parallelized for use in a collider experiment. These will be usable with parallel processor architectures such as Intel's Xeon Phi and GPUs, but yet maintain and extend the physics performance required for the challenges for the High Luminosity LHC (HL-LHC) planned for the 2020s. Originally funded as a standalone project by the NSF Physics at the Information Frontier (PIF) program, the project now continues as part of the IRIS-HEP software institute.
Project Website: http://trackreco.github.io
Data Intensive Analysis for High Energy Physics (DIANA/HEP): The primary goal of DIANA/HEP was to develop state-of-the-art software tools for experiments which acquire, reduce, and analyze petabytes of data. Improving performance, interoperability, and collaborative tools through modifications and additions to ROOT and other software packages broadly used by the HEP community will allow us to more fully exploit the data being acquired at CERN's Large Hadron Collider (LHC) and other facilities. The analysis tools efforts of DIANA/HEP are being carried forward as part of the Analysis Systems area in the IRIS-HEP software institute.
Project Website: http://diana-hep.org
Framework for Integrated Research Software Training in High Energy Physics (FIRST-HEP): The FIRST-HEP project developed a community framework for software training in order to prepare the scientific and engineering workforce needed for the computing challenges of high energy physics experiments.
Project Websites: http://first-hep.org/ and https://hepsoftwarefoundation.org/workinggroups/training.html
INFN School on Efficient Scientific Computing: With M.Morandin (INFN-Padova), founded the school on "Architectures, tools and methodologies for developing large scale scientific computing applications", sponsored by the Italian Istituto Nazionale di Fisica Nucleare (INFN), and was chair of the International Scientific Committee from 2009-2014.
BaBar experiment: The BaBar experiment ran from 1999 until 2008 at the Stanford Linear Accelerator Center (SLAC) in Menlo Park, CA. The experiment was located at the single interaction point of the PEP-II collider. PEP II was unique in that it collided electron and positron beams with asymmetric energies in order to produce particles with a net boost in the laboratory frame. It operated at an energy of 10.58GeV corresponding to Upsilon(4S) resonance. The primary physics goals of BaBar included the discovery of CP violation in the B-meson system and the general study of the physics accessible via the extremely large and clean data samples of B-mesons produced by a "B-factory" like PEP-II.
Project website: http://www-public.slac.stanford.edu/babar/