We summarize the status of dark matter indirect searches using neutrinos as messengers, and we point out that dark matter spikes around supermassive black holes can enhance significantly the neutrino flux from nearby galaxies, possibly even at the reach of neutrino telescopes. In particular, we propose that the measured neutrino flux from NGC1068 could be attributed to dark matter...
We study a mechanism to make dark matter stable based on the Pauli blocking in the fermion background. In the background where fermions occupy the states, the decay of dark matter to those final states is not allowed, as a result, DM becomes stable. We derive the evolution equations of the distribution function in the quantum field theory and compare it with the Boltzmann equation. We apply...
We consider the extension of the SM with an inert scalar doublet,
three right-handed neutrinos, and singlet scalar fields, ϕ and S. In this model, neutrino
masses are zero in the limit of the unbroken Z4 discrete symmetry. We show that when the
singlet scalar field ϕ gets a VEV, the Z4 symmetry is broken to Z2, and neutrino masses
are generated at one-loops due to the mixings between the...
The Belle II Collaboration recently announced the first observation of the 𝐵 → 𝐾 + 𝜈 𝜈 decay process. This decay channel provides a particularly clean signal and allows for high theoretical precision. However, their measurement shows a 2.7𝜎 deviation from the Standard Model prediction. To address this excess, we study a scalar dark matter model. Assuming a dark 𝑈 (1)𝑋≡𝑈(1)𝐿𝜇−𝐿𝜏 symmetry, this...
The oscillating wave dark matter can act as a periodic driver, producing distinct modulation signatures not only in particle physics (e.g., neutrinos), but also in solid-state physics (e.g., superconductors). This talk is based on our recent papers PRD 108, 095028 (2023); JHEP 07 (2025) 269; arXiv: 2509.22892.
Mapping the Milky Way’s dark matter requires moving beyond traditional, rigid dynamical models. In this talk, generative models—specifically Normalizing Flows— are used to learn the stellar phase space distribution directly from Gaia data. This approach enables a flexible, model-independent reconstruction of the Galactic gravitational potential and local dark matter density. These data-driven...
