Thermodynamic Bethe Ansatz for Fishnet CFT. (arXiv:1911.10213v1 [hep-th])

We present the TBA equations and the Y-system for the exact spectrum of general multi-magnon local operators in the $D$-dimensional anisotropic version of the bi-scalar fishnet CFT. The mixing matrix of such operators is given in terms of fishnet planar graphs of multi-wheel and multi-spiral type. These graphs probe the two main building blocks of…

The Cauchy Integral Formula in Hermitian, Quaternionic and osp(4|2) Clifford Analysis. (arXiv:1911.10233v1 [math.CV])

As is the case for the theory of holomorphic functions in the complex plane, the Cauchy Integral Formula has proven to be a corner stone of Clifford analysis, the monogenic function theory in higher dimensional euclidean space. In recent years, several new branches of Clifford analysis have emerged. Similarly as hermitian Clifford analysis in euclidean…

Design and Experiments with a Robot-Driven Underwater Holographic Microscope for Low-Cost In Situ Particle Measurements. (arXiv:1911.10231v1 [cs.RO])

Microscopic analysis of micro particles in situ in diverse water environments is necessary for monitoring water quality and localizing contamination sources. Conventional sensors such as optical microscopes and fluorometers often require complex sample preparation, are restricted to small sample volumes, and are unable to simultaneously capture all pertinent details of a sample such as particle…

Searching for new physics with profile likelihoods: Wilks and beyond. (arXiv:1911.10237v1 [physics.data-an])

Particle physics experiments use likelihood ratio tests extensively to compare hypotheses and to construct confidence intervals. Often, the null distribution of the likelihood ratio test statistic is approximated by a $\chi^2$ distribution, following a theorem due to Wilks. However, many circumstances relevant to modern experiments can cause this theorem to fail. In this paper, we…

Squeezed Light Induced Two-photon Absorption Fluorescence of Fluorescein Biomarkers. (arXiv:1911.10239v1 [physics.optics])

Two-photon absorption (TPA) of biomarkers has been decisive in advancing the fields of deep tissue biosensing and bioimaging. However, due to the extremely small two-photon absorption cross-section, high-intensity pulsed lasers are imperative. Such high intensities though are highly invasive and result in extreme photodamage of biological specimen. We report that by using squeezed light for…

Detonation initiation by compressible turbulence thermodynamic fluctuations. (arXiv:1911.10242v1 [physics.flu-dyn])

Theory and computations have established that thermodynamic gradients created by hot spots in reactive gas mixtures can lead to spontaneous detonation initiation. However, the current laminar theory of the temperature-gradient mechanism for detonation initiation is restricted to idealized physical configurations. Thus, it only predicts conditions for the onset of detonations in quiescent gases, where an…

100pTcm Sensitive MEMS Resonant Magnetometer from a Commercial Accelerometer. (arXiv:1911.10250v1 [physics.app-ph])

Magnetic sensing is present in our everyday interactions with consumer electronics, and also demonstrates potential for measurement of extremely weak biomagnetic fields, such as those of the heart and brain. In this work, we leverage the many benefits of the micro-electromechanical systems (MEMS) devices to fabricate a small, low power, inexpensive sensor whose resolution is…

Jackiw-Rebbi states and trivial states in interfaced binary waveguide arrays with cubic-quintic nonlinearity. (arXiv:1911.10260v1 [physics.optics])

We systematically investigate two types of localized states – one is the optical analogue of the quantum relativistic Jackiw-Rebbi states, and the other is the trivial localized state – in interfaced binary waveguide arrays in the presence of cubic-quintic nonlinearity. By using the shooting method we can exactly calculate the profiles of these nonlinear localized…

A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model. (arXiv:1911.10225v1 [stat.ML])

A recent novel extension of multi-output Gaussian processes handles heterogeneous outputs assuming that each output has its own likelihood function. It uses a vector-valued Gaussian process prior to jointly model all likelihoods’ parameters as latent functions drawn from a Gaussian process with a linear model of coregionalisation covariance. By means of an inducing points framework,…