3 papers
hep-ex2026
Likelihood-Based Unsupervised Anomaly Detection in CMS Dijet Events
Bhavishya Chebrolu, Hitesh Rasineni, Prajwal Aaryan Immadi
We present an unsupervised search for anomalous dijet events in proton--proton collision data using neural spline flow density estimation. A normalizing flow model is trained on a…
hep-ex2026
Hadronic Mono-Z Dark Matter Sensitivity with Flow Matching on CMS Open Data
Hitesh Rasineni, Bhavishya Chebrolu
We present a projected sensitivity study for hadronic mono- dark-matter production using CMS Run~2015D HTMHT open data corresponding to 2.256382381~\invfb, from which 1{,}439{,}…
cs.LG2026
Mono-Z Dark Matter Search with Neural Spline Flows Using CMS Run 2015D Open Data
Hitesh Rasineni, Bhavishya Chebrolu
We report a search for dark matter (DM) produced in association with a leptonically decaying \(Z\) boson at \(\sqrt{s}=13\) TeV using CMS Run 2015D open data corresponding to an in…