Gc Agarwal Physics Book Free Download
Laurice Whack
I am interested in understanding the fundamental laws of nature and ways we can test them. My research revolves around open questions in fundamental physics, such as the nature of dark matter and dark energy, and explanations for the patterns in the basic building blocks of particle physics.
Professor Agarwal received M.S. from Banaras Hindu University in 1966, and a Ph.D. from the University of Rochester in 1969. He specializes primarily in quantum optics and broadly in quantum physics. The theoretical work focuses on quantum effects in hybrid systems; quantum phase transitions and collective effects in cavities driven by squeezed light; Frohlich condensates; coupling of quantum emitters to meta materials; chiral quantum systems. The experimental effort based on super-resolution microscopy, quantum sensing and is focused towards bio-photonics applications.
Prof. Aggarwal is interested in precision measurements for fundamental physics. In particular, she uses techniques from Quantum Optics, atomic physics, and condensed matter physics to look for new physics in the form of dark matter candidates or gravitational waves from astrophysical, cosmological, and exotic sources.
She is a member of the LIGO (Laser Interferometer Gravitational Wave Observatory) collaboration, LSD (Levitated Sensor Detector) collaboration, and the ARIADNE (Axion Resonant InterAction DetectioN Experiment) collaboration.
She is also part of a new global initiative to build detectors for Ultra High Frequency GW detectors.
I am a condensed matter theorist working on strongly correlated quantumsystems, with an emphasis on disorder and interaction driven physics, andnon-equilibrium dynamics. I am also interested in quantum control andquantum information related problems. When possible, I find it veryrewarding to collaborate with experimentalists; in the recent past, I haveworked on a wide range of problems including uncovering the properties oftopological defects in quantum Hall ferromagnets in Bismuth, phononicCherenkov radiation in graphene, and understanding the phase dynamics ofBose gases on atom chips.
Myocardial strain is a measure of myocardial deformation, which is a more sensitive imaging biomarker of myocardial disease than the commonly used ventricular ejection fraction. Although myocardial strain is commonly evaluated by using speckle-tracking echocardiography, cardiovascular MRI (CMR) is increasingly performed for this purpose. The most common CMR technique is feature tracking (FT), which involves postprocessing of routinely acquired cine MR images. Other CMR strain techniques require dedicated sequences, including myocardial tagging, strain-encoded imaging, displacement encoding with stimulated echoes, and tissue phase mapping. The complex systolic motion of the heart can be resolved into longitudinal strain, circumferential strain, radial strain, and torsion. Myocardial strain metrics include strain, strain rate, displacement, velocity, torsion, and torsion rate. Wide variability exists in the reference ranges for strain dependent on the imaging technique, analysis software, operator, patient demographics, and hemodynamic factors. In anticancer therapy cardiotoxicity, CMR myocardial strain can help identify left ventricular dysfunction before the decline of ejection fraction. CMR myocardial strain is also valuable for identifying patients with left ventricle dyssynchrony who will benefit from cardiac resynchronization therapy. CMR myocardial strain is also useful in ischemic heart disease, cardiomyopathies, pulmonary hypertension, and congenital heart disease. The authors review the physics, principles, and clinical applications of CMR strain techniques. Online supplemental material is available for this article. RSNA, 2022.
Interests: Inertial confinement fusion; magneto-inertial fusion; high energy density physics; laser-plasma interaction; computational physics; magnetohydrodynamics; particle-in-cell simulations
My research specialty is theoretical condensed matter (solid-state) physics. In recent years, our group has worked mainly on the physics of topological materials, most especially the quantum Hall regime of two-dimensional electronic systems (e.g. semiconductor heterostructures or graphene, subject to a strong perpendicular magnetic field). We also study highly disordered electronic and magnetic systems (exploring phenomena such as single-particle and many-body localization), as well as solid-state systems for spin-based and topological quantum computation.
The oil and gas industry has used multivariate analysis (MVA) to evaluate how geology, reservoir, and drilling/completion parameters (well characteristics) relate to well production. Although many techniques are used, multiple linear regression (MLR) has been especially popular due to its ease of use and the interpretability of its parameters. However, when the relationship between response and predictor variables is highly complex or nonlinear, this technique can yield erroneous and misleading results. Recent work showed the benefit of combining statistical MLR with fracture and numerical reservoir (physics-based) modeling, which yields a more physically realistic production response to suggested completion changes (Mayerhofer, 2017). However, this work is limited to using the nonlinear relationships between production outcomes and only a few independent variables (i.e., proppant/fluid volumes pumped and fracture spacing). For practicality, other important predictors are still assumed to be linearly correlated to the response variable (e.g., predicted cumulative oil).
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