
Deep learning tailors supersymmetry searches
CMS has released a new search for charginos and neutralinos, with sensitivity boosted by the use of parametric machine learning.
Thank you for registering
If you'd like to change your details at any time, please visit My account
CMS has released a new search for charginos and neutralinos, with sensitivity boosted by the use of parametric machine learning.
The 2020 update of the European strategy for particle physics forms the basis of CERN’s objectives for the next five years, explains CERN Director-General Fabiola Gianotti.
Experimentalists and theorists met from 16 to 19 November for the eighth workshop of the LHC's long-lived particles community.
The FIPs 2020 workshop was structured around portals that may link the Standard Model to a rich dark sector: axions, dark photons, dark scalars and heavy neutral leptons.
The presence of new virtual particles could be clearly signalled by a right-handed contribution to the photon polarisation.
In a recent CMS analysis researchers have challenged the Standard Model by investigating a previously unexplored leptoquark signature.
A global network of ultra-sensitive optical atomic magnetometers – GNOME – has begun its search for exotic fields beyond the Standard Model.
The excess could be due to a difficult-to-constrain tritium background, solar axions or solar neutrinos with a Majorana nature, says the collaboration.
The FUNK experiment has set an improved limit on the existence of hidden photons as candidates for dark matter with masses in the eV range.
A challenge for such searches is that the masses of the supersymmetric particles are unknown, leaving a large range of possibilities to explore.