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The antiproton flux measurements from AMS-02 offer valuable information about the nature of dark matter, but their interpretation is complicated by large uncertainties in the modeling of cosmic ray propagation. In this work we present a…

高能物理 - 唯象学 · 物理学 2023-03-15 Sowmiya Balan , Felix Kahlhoefer , Michael Korsmeier , Silvia Manconi , Kathrin Nippel

xBIT is a tool for performing parameter scans in beyond the Standard Model theories. It's written in Python and fully open source. The main purpose of xBIT is to provide an easy to use tool to help phenomenologists with their daily task:…

高能物理 - 唯象学 · 物理学 2019-06-11 Florian Staub

In this proceeding, we present results from a global fit of Dirac fermion dark matter (DM) effective field theory (EFT) based on arXiv:2106.02056 using the GAMBIT framework. Here we show results only for the dimension-6 operators that…

高能物理 - 唯象学 · 物理学 2023-07-06 Ankit Beniwal

We present the results from combining machine learning with the profile likelihood fit procedure, using data from the Large Underground Xenon (LUX) dark matter experiment. This approach demonstrates reduction in computation time by a factor…

Global fits explore different parameter regions of a given model and apply constraints obtained at many energy scales. This makes it challenging to perform global fits of simplified models, which may not be valid at high energies. In this…

高能物理 - 唯象学 · 物理学 2023-08-09 Christopher Chang , Pat Scott , Tomás E. Gonzalo , Felix Kahlhoefer , Martin White

Based on arXiv:1705.07935 and arXiv:1705.07917, we present the first global fits of supersymmetric models using the new Global And Modular Beyond-the-Standard-Model Inference Tool (GAMBIT). With GAMBIT we have performed frequentist fits of…

高能物理 - 唯象学 · 物理学 2020-08-27 Anders Kvellestad

Simplified models provide a useful way to study the impacts of a small number of new particles on experimental observables and the interplay of those observables, without the need to construct an underlying theory. In this study, we perform…

高能物理 - 唯象学 · 物理学 2023-08-09 Christopher Chang , Pat Scott , Tomás E. Gonzalo , Felix Kahlhoefer , Anders Kvellestad , Martin White

This thesis explores experimental and theoretical approaches to dark matter detection, from gas-based detectors to quantum sensors, tackling the challenge of identifying dark matter, which makes up 27% of the Universe's energy. It reviews…

天体物理仪器与方法 · 物理学 2025-12-05 David Díez-Ibáñez

In this conference paper I present the results from a few global studies of Dark Matter (DM) models, in light of recent constraints from direct detection, indirect detection and collider experiments. I show the most recent analysis of…

高能物理 - 唯象学 · 物理学 2023-05-18 Tomás E. Gonzalo

Despite several indirect confirmations of the existence of dark matter, the properties of a new dark matter particle are still largely unknown. Several experiments are currently searching for this particle underground in direct detection,…

高能物理 - 唯象学 · 物理学 2011-04-20 Alexander Pukhov , Genevieve Belanger , Fawzi Boudjema , Andrei Semenov

Observation of gamma-rays from dwarf galaxies is an effective way to search for particle dark matter. Using 4-year data of Fermi-LAT observations on a series of Milky Way satellites, we develop a general way to search for the signals from…

高能天体物理现象 · 物理学 2015-06-12 Yue-Lin Sming Tsai , Qiang Yuan , Xiaoyuan Huang

Whilst the need for dark matter was established almost a century ago, only its gravitational interaction has been confirmed so far, allowing for plethora of models for dark matter. The Weakly Interacting Massive Particles (WIMPs) category…

高能物理 - 唯象学 · 物理学 2021-01-26 Chiara Arina

The subtle and unique imprint of dark matter substructure on extended arcs in strong lensing systems contains a wealth of information about the properties and distribution of dark matter on small scales and, consequently, about the…

宇宙学与河外天体物理 · 物理学 2020-02-25 Johann Brehmer , Siddharth Mishra-Sharma , Joeri Hermans , Gilles Louppe , Kyle Cranmer

The study of dark matter substructure through strong gravitational lensing has shown enormous promise in probing the properties of dark matter on sub-galactic scales. This approach has already been used to place strong constraints on a wide…

星系天体物理 · 物理学 2025-03-14 Charles Gannon , Anna Nierenberg , Andrew Benson , Ryan Keeley , Xiaolong Du , Daniel Gilman

We introduce a new software package, DarkMatters, which has been designed to facilitate the calculation of all aspects of indirect dark matter detection of WIMPs in astrophysical settings. Two primary features of this code are the…

高能物理 - 唯象学 · 物理学 2024-09-10 Michael Sarkis , Geoff Beck

Clues to the identity of dark matter have remained surprisingly elusive, given the scope of experimental programs aimed at its identification. While terrestrial experiments may be able to nail down a model, an alternative, and equally…

宇宙学与河外天体物理 · 物理学 2021-12-23 Stephon Alexander , Sergei Gleyzer , Pranath Reddy , Marcos Tidball , Michael W. Toomey

Driven by the null results in the searches for dark matter, the field of direct dark matter detection is constantly evolving to push new frontiers. Ultimately, a vast parameter space for dark matter masses below a few GeV is yet to be…

高能物理 - 实验 · 物理学 2025-12-18 Melih Solmaz

The DAMIC experiment uses fully depleted, high resistivity CCDs to search for dark matter particles. With an energy threshold $\sim$50 eV$_{ee}$, and excellent energy and spatial resolutions, the DAMIC CCDs are well-suited to identify and…

Supersymmetric models provide very interesting scenarios to account for the dark matter of the Universe. In this talk we discuss scenarios with gravitino dark matter in R-parity breaking vacua, which not only reproduce very naturally the…

高能物理 - 唯象学 · 物理学 2009-02-02 Alejandro Ibarra

We discuss irreducible statistical limitations of future ton-scale dark matter direct detection experiments. We focus in particular on the coverage of confidence intervals, which quantifies the reliability of the statistical method used to…

高能物理 - 唯象学 · 物理学 2012-11-29 Charlotte Strege , Roberto Trotta , Gianfranco Bertone , Annika H. G. Peter , Pat Scott