Alumni

Degree Date: May, 2019
Salvatore Aiola's picture
Salvatore Aiola
John Harris
Postdoctoral Research Fellow

Istituto Nazionale di Fisica Nucleare (National Institute for Nuclear Research).


Jet and heavy-flavor measurements in pp and Pb–Pb collisions with ALICE
Quantum Chromo-Dynamics (QCD) is the field theory that describes the nuclear interactions, responsible for holding together quarks and gluons inside the atomic nuclei. Despite significant progress made in over four decades of experimental and theoretical work since QCD was established, there remain many open questions, especially regarding the fragmentation process of quarks and gluons and the behavior of QCD in the high-temperature regime. Jets are produced from hard-scattered quarks and... more
Elizabeth Boulton's picture
Elizabeth Boulton
Daniel McKinsey


Applications of Two-Phase Xenon Time Projection Chambers: Searching for Dark Matter and Special Nuclear Materials
Over the past four decays, Liquid xenon has emerged as a popular medium for direct detection of dark matter. The Large Underground Xenon (LUX) experiment utilized a 300 kg two-phase xenon detector to set a world-leading limit on the WIMP spin-independent cross-section and WIMP mass parameter space with 332 live-days of data collection. This analysis proved especially challenging due to non-uniform, time-evolving drift fields during the WIMP search run, and it required the use of novel... more
Dandan Ji's picture
Dandan Ji
Eric Brown


Modeling of the dynamics large-scale coherent structures in the system of Rayleigh-Benard Convection
We test the ability of a general low-dimensional model for turbulence to predict geometry-dependent dynamics of large-scale coherent structures, such as convection rolls. The model consists of stochastic ordinary differential equations, which are derived as a function of boundary geometry from the Navier-Stokes equations. The model describes the motion of the LSC in terms of diffusion in a potential. We test the model using Rayleigh-Bénard convection experiments in a cubic container, in... more
Zack Lasner's picture
Zack Lasner
David DeMille
Postdoctoral Researcher

Harvard University


Order-of-magnitude-tighter bound on the electron electric dipole moment
The electron's electric dipole moment (eEDM) is a time-reversal- (T-) violating interaction that is generically predicted to have a magnitude near or above the bounds of current experimental sensitivity in extensions to the Standard Model. We have completed an improved measurement of the electron's electric dipole moment with an order-of-magnitude greater sensitivity than the previous best measurement. The result is consistent with no interaction, |de|<1.1*10^-29 e cm. This upper... more
James Mulligan's picture
James Mulligan
John Harris
Postdoctoral Associate

University of California, Berkeley


Inclusive jet measurements in Pb-Pb collisions with ALICE
Droplets of deconfined quarks and gluons, known as the quark-gluon plasma, are produced experimentally in ultrarelativistic heavy-ion collisions. Studying this deconfined matter may allow insight into a variety of open questions about the high temperature regime of QCD and the emergent behaviors of QCD. One major effort to probe the quark-gluon plasma is the study of high-momentum jets produced in an initial high momentum-transfer scattering of a heavy-ion collision. Measurements have... more
Michela Paganini's picture
Michela Paganini
Paul Tipton
Postdoctoral Researcher

Facebook AI Research


Machine Learning in High Energy Physics: Applications to Electromagnic Shower Generation, Flavor Tagging, and the Search for di-Higgs Production
This thesis demonstrate the efficacy of designing and developing machine learning algorithms to selected use cases that encompass many of the outstanding challenges in the field of experimental high energy physics. Although simple implementations of neural networks and boosted decision trees have been used in high energy physics for a long time, the field of machine learning has quickly evolved by devising more complex, fast and stable implementations of learning algorithms. The complexity... more
Meredith Powell's picture
Meredith Powell
Meg Urry
Porat Fellow

Stanford


Website
The Environments of Accreting Supermassive Black Holes
The details of black hole-galaxy coevolution can be revealed by studying the multi-scale environments of accreting supermassive black holes (SMBH). Using state-of-the-art multiwavelength surveys of complementary depths, volumes, and resolutions, I studied the galaxies and cosmic environments that host Active Galactic Nuclei (AGN) to test current models of supermassive black hole fueling and feedback. On galactic scales, I investigated the morphology vs. galaxy properties of 5000 galaxies and... more
Clarke Smith's picture
Clarke Smith
Michel Devoret
Postdoctoral Fellow

Inria


Design of Protected Superconducting Qubits
Controllable quantum systems that are shielded at a Hamiltonian level from the random fluctuations of their environments could provide a valuable resource for quantum information science. While these "protected qubits" promise unprecedentedly low error rates, this might come at the expense of ease of physical implementation. This thesis focuses on overcoming this apparent design problem in protected qubits within the context of superconducting circuits and their quantized... more
Matthew Steinecker's picture
Matthew Steinecker
David DeMille
Graduate School Student Year 6 (DeMille)

FASPHY Physics


Sub-Doppler Laser Cooling and Magnetic Trapping of SrF Molecules
In recent years, there has been growing interest in methods for producing gases of ultracold polar molecules, driven by proposals to employ ultracold molecules in applications in ultracold chemistry, quantum information and quantum simulation, and precision measurement. Development of direct laser cooling and trapping techniques for molecules has become a particular focus of experimental and theoretical effort, given the success of analogous techniques in producing ultracold atoms and the... more
Lucie Tvrznikova's picture
Lucie Tvrznikova
Daniel McKinsey
Postdoctoral Researcher

Lawrence Livermore National Laboratory


Sub-GeV dark matter searches and electric field studies for the LUX and LZ experiments
Abundant evidence from cosmological and astrophysical observations suggests that the Standard Model does not describe 84% of the matter in our universe. The nature of this dark matter (DM) remains a mystery since it has so far eluded detection in the laboratory. To that end, the Large Underground Xenon (LUX) experiment was built to directly observe the interaction of DM with xenon target nuclei. LUX acquired data from April 2013 to May 2016 at the Sanford Underground Research Facility (SURF) in... more
Degree Date: December, 2018
Andrew Gasbarro's picture
Andrew Gasbarro
George Fleming
Postdoctoral Associate

AEC and ITP University of Bern


Studies of Conformal Behavior in Strongly Interacting Quantum Field Theories
In this dissertation, we present work towards characterizing various conformal and nearly-conformal quantum field theories nonperturbatively using a combination of numerical and analytical techniques. A key area of interest is the conformal window of four-dimensional gauge theories with Dirac fermions and its potential application to BSM model building. We advocate a research program in which the generic low energy physics of nearly-conformal gauge theories is characterized by combining... more
Elena Gramellini's picture
Elena Gramellini
Bonnie Fleming
Postdoctoral Associate

Fermilab


Measurement of the negative pion and positive kaon total hadronic cross sections on argon at the LArIAT experiment
The Liquid Argon Time Projection Chamber (LArTPC) represents one of the most advanced experimental technologies for physics at the Intensity Frontier due to its full 3D-imaging, excellent particle identification and precise calorimetric energy reconstruction. By deploying a LArTPC in a dedicated calibration test beam line at Fermilab, LArIAT (Liquid Argon In A Testbeam) aims to experimentally calibrate this technology in a controlled environment and to provide physics results key to the... more
Junjiajia Long's picture
Junjiajia Long
Thierry Emonet

Tower Research Capital LLC


From Individual to Collective Behavior: The Role of Memory and Diversity in Bacterial Navigation
What is the best strategy to search in an unknown environment? Navigation with only local information available is a ubiquitous problem in nature, especially when local directional information is unreliable due to limited detection range and accuracy. Facing this challenge, many natural systems, including the chemotactic bacteria Escherichia coli, navigate by registering past information “in memory” and making temporal comparisons to bias their random walk up gradients of signal. In... more
Siddharth Prabhu's picture
Siddharth Prabhu
Walter Goldberger
Postdoctoral fellow

ICTS-TIFR, Bengalur


Gluon and Graviton Radiation from the Classical Double Copy
Motivated by the BCJ double copy in quantum field theory, we demonstrate a correspondence between perturbative solutions of classical scalar, gauge and gravity theories. First, we show that classical Yang-Mills radiation from a system of colored particles can be obtained from classical bi-adjoint scalar radiation emitted by a corresponding system of bi-adjoint colored particles, via a simple set of color-kinematic substitution rules. This completes a two-fold double copy that can be used to... more
Jared Vasquez's picture
Jared Vasquez
Paul Tipton
Senior Data Scientist

GE Digital


Illuminating the Higgs boson: Measurement of the properties of the Higgs boson in the diphoton channel
This thesis presents results for measurements of the Standard Model Higgs boson properties and production as measured in the diphoton decay channel using 36.1/fb of proton–proton collision data collected at √s = 13 TeV by the ATLAS detector in 2015 and 2016. All the measurements are performed under the assumption that the Higgs boson mass is 125.09 GeV and are compared to Standard Model predictions. No significant deviations of the measurements to the Standard Model predictions are... more