366 citations · 2.6k across the 56 of their papers we have counts for
57 papers
Ruling out models of vector dark matter in asymptotically safe quantum gravity
Gustavo P. de Brito, Astrid Eichhorn, Mads T. Frandsen +3
The nature of dark matter is a problem with too many potential solutions. We investigate whether a consistent embedding into quantum gravity can decimate the number of solutions to…
Gravitational waves from composite Higgs models
Mads T. Frandsen, Matti Heikinheimo, Martin Rosenlyst +2
We study possible strong first-order electroweak phase transitions in Composite Higgs models and we quantify the part of parameter space that can be probed with future gravitationa…
Vector dark matter in supercooled Higgs portal models
Mads T. Frandsen, Matti Heikinheimo, Mattias E. Thing +2
We consider extensions of the Standard Model by a hidden sector consisting of a gauge field coupled with a scalar field. Assuming the absence of dimensionful parameters in the tree…
Electroweak precision tests of composite Higgs models
Mads T. Frandsen, Martin Rosenlyst
We study constraints on Composite Higgs models with fermion partial compositeness from electroweak precision measurements, including the 2022 -boson mass result from the CDF col…
Techni-Composite Higgs models with (a)symmetric dark matter candidates
Giacomo Cacciapaglia, Mads T. Frandsen, Wei-Chih Huang +2
We propose a novel class of composite models that feature both a technicolor and a composite Higgs vacuum limit, resulting in an asymmetric dark matter candidate. These Techni-Comp…
The Application of Convolutional Neural Networks for Tomographic Reconstruction of Hyperspectral Images
Wei-Chih Huang, Mads Svanborg Peters, Mads Juul Ahlebaek +3
A novel method, utilizing convolutional neural networks (CNNs), is proposed to reconstruct hyperspectral cubes from computed tomography imaging spectrometer (CTIS) images. Current…