English
Related papers

Related papers: Towards Model-free Temperature Diagnostics of Warm…

200 papers

Inelastic dark matter (IDM) models feature an energy threshold for scattering with Standard Model particles, which enables their consistency with the increasingly stringent limits placed by direct detection experiments. In a typical…

High Energy Physics - Phenomenology · Physics 2025-10-15 Zamiul Alam , Christopher V. Cappiello , Francesc Ferrer

The free-free opacity in dense systems is a property that both tests our fundamental understanding of correlated many-body systems, and is needed to understand the radiative properties of high energy-density plasmas. Despite its importance,…

The surface roughness of a thin film at a liquid interface exhibits contributions of thermally excited fluctuations. This thermal roughness depends on temperature (T), surface tension ($\gamma$) and elastic material properties, specifically…

Soft Condensed Matter · Physics 2025-10-06 Chen Shen , Honghu Zhang , Beate Klösgen , Benjamin M. Ocko

We present a formally exact and simulation-free approach for the normalization of X-ray Thomson scattering (XRTS) spectra based on the f-sum rule of the imaginary-time correlation function (ITCF). Our method works for any degree of…

K-line profiles emitted from a warm dense plasma environment are used for diagnostics of Ar droplet plasmas created by high energy laser pulses. Analyzing the temporally and spacially integrated spectra, we infer temperature gradients…

Plasma Physics · Physics 2017-09-26 A Sengebusch , H Reinholz , G Röpke

Accurate temperature measurement at the nanoscale is crucial for thermal management in next-generation microelectronic devices. Existing optical and scanning-probe thermometry techniques face limitations in spatial resolution, accuracy, or…

White dwarfs, the most abundant stellar remnants, provide a promising means of probing dark matter (DM) interactions, complimentary to terrestrial searches. The scattering of dark matter from stellar constituents leads to gravitational…

High Energy Physics - Phenomenology · Physics 2021-11-01 Nicole F. Bell , Giorgio Busoni , Maura E. Ramirez-Quezada , Sandra Robles , Michael Virgato

A reliable comparison of different dark matter (DM) searches requires models that satisfy certain consistency requirements like gauge invariance and perturbative unitarity. As a well-motivated example, we study two-mediator DM (2MDM). The…

High Energy Physics - Phenomenology · Physics 2016-09-27 Michael Duerr , Felix Kahlhoefer , Kai Schmidt-Hoberg , Thomas Schwetz , Stefan Vogl

We experimentally demonstrate coherent light scattering from an atomic Mott insulator in a two-dimensional lattice. The far-field diffraction pattern of small clouds of a few hundred atoms was imaged while simultaneously laser cooling the…

The traditional Thomson scattering diagnostic is based on measurement of the wavelength spectrum of scattered light, where electron temperature measurements are inferred from thermal broadening of the scattered laser light. At sufficiently…

Plasma Physics · Physics 2015-06-17 E. Parke , V. V. Mirnov , D. J. Den Hartog

In inertial confinement fusion (ICF), Thomson scattering (TS) is a widely used diagnostic technique for probing plasma conditions. We present a first-principles numerical approach to obtaining scattered light signals of ion acoustic…

The free streaming length of dark matter particles determines the abundance of structure on sub-galactic scales. We present a statistical technique, amendable to any parameterization of subhalo density profile and mass function, to probe…

Cosmology and Nongalactic Astrophysics · Physics 2018-08-29 Daniel Gilman , Simon Birrer , Tommaso Treu , Charles R. Keeton , Anna Nierenberg

We revisit calculations of the X-ray emission from warm-hot intergalactic medium (WHIM) with particular focus on contribution from the resonantly scattered cosmic X-ray background (CXB). If the significant part of the CXB emission is…

High Energy Astrophysical Phenomena · Physics 2018-11-14 Ildar Khabibullin , Eugene Churazov

Thermal detectors have recently achieved a leading position in the fields of neutrinoless double beta decay and dark matter searches thanks to excellent energy resolution and numerous absorber material choices. These detectors operate at…

Instrumentation and Detectors · Physics 2011-03-29 Carlo Bucci , Paolo Gorla , Wolfgang Seidel

We analyze coordinated Hinode XRT and EIS observations of a non-flaring active region to investigate the thermal properties of coronal plasma taking advantage of the complementary diagnostics provided by the two instruments. In particular…

Solar and Stellar Astrophysics · Physics 2015-05-20 Paola Testa , Fabio Reale , Enrico Landi , Ed DeLuca , Vinay Kashyap

Temperature, density and abundance profiles of the hot intracluster medium (ICM) are important diagnostics of the complex interactions of gravitational and feedback processes in the cores of galaxy clusters. Deprojection of X-ray data by…

Astrophysics · Physics 2009-11-13 H. R. Russell , J. S. Sanders , A. C. Fabian

Although it is well known that the bulk of dark matter (DM) has to be cold, the existence of an additional sub-dominant, hot species remains a valid possibility. In this paper we investigate the potential of the cosmic shear power spectrum…

Cosmology and Nongalactic Astrophysics · Physics 2025-01-22 Fabian Hervas Peters , Aurel Schneider , Jozef Bucko , Sambit K. Giri , Gabriele Parimbelli

Direct detection experiments and the interpretation of their results are sensitive to the velocity structure of the dark matter in our galactic halo. In this work, we extend the formalism that deals with such astrophysics-driven…

High Energy Physics - Phenomenology · Physics 2024-04-09 Elias Bernreuther , Patrick J. Fox , Benjamin Lillard , Anna-Maria Taki , Tien-Tien Yu

Temperature scaling is a popular technique for tuning the sharpness of a model distribution. It is used extensively for sampling likely generations and calibrating model uncertainty, and even features as a controllable parameter to many…

Machine Learning · Computer Science 2023-10-03 Andy Shih , Dorsa Sadigh , Stefano Ermon