In view of the recent high precision measurement of the Standard Model W boson mass at the CDF II detector, we compute the contributions to the oblique parameters S, T and U coming from the two additional Higgs doublets (one inert and one hidden) as well as the hidden neutral dark gauge bosons and extra heavy fermions in the gauged two-Higgs-doublet model (G2HDM). While the effects from the hidden Higgs doublet and new heavy fermions are found to be minuscule, the hidden gauge sector  $$SU(2)_H \times U(1)_X$$  <math> <mrow> <mi>S</mi> <mi>U</mi> <msub> <mrow> <mo>(</mo> <mn>2</mn> <mo>)</mo> </mrow> <mi>H</mi> </msub> <mo>×</mo> <mi>U</mi> <msub> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> <mi>X</mi> </msub> </mrow> </math>   with gauge coupling strength  $$\gtrsim 10^{-2}$$  <math> <mrow> <mo>≳</mo> <msup> <mn>10</mn> <mrow> <mo>-</mo> <mn>2</mn> </mrow> </msup> </mrow> </math>   and gauge boson mass  $$\gtrsim 100$$  <math> <mrow> <mo>≳</mo> <mn>100</mn> </mrow> </math>   GeV can readily explain the W boson mass anomaly but is nevertheless excluded by the dilepton high-mass resonance searches at the Large Hadron Collider. On the other hand, the new global fits to the oblique parameters due to the new W boson mass measurement can give discernible impacts on the mass splitting and mixing angle for the inert Higgs doublet in G2HDM. We also study the impact on the signal strength of diphoton mode of the 125 GeV Higgs boson  $$h \rightarrow \gamma \gamma $$  <math> <mrow> <mi>h</mi> <mo>→</mo> <mi>γ</mi> <mi>γ</mi> </mrow> </math>   and the detectability of the yet to be observed process  $$h \rightarrow Z \gamma $$  <math> <mrow> <mi>h</mi> <mo>→</mo> <mi>Z</mi> <mi>γ</mi> </mrow> </math>   at the High Luminosity Large Hadron Collider. Current constraints for the dark matter candidate  $$W^\prime $$  <math> <msup> <mi>W</mi> <mo>′</mo> </msup> </math>   including the dark matter relic density, dark matter direct detections and invisible Higgs decays are also taken into account in this study.

Vietnam

China

Van Tran

Taiwan

Thong Nguyen

Tzu-Chiang Yuan

Scrutinizing a hidden SM-like gauge model with corrections to oblique parameters

We investigate the performance of a jet identification algorithm based on interaction networks (JEDI-net) to identify all-hadronic decays of high-momentum heavy particles produced at the LHC and distinguish them from ordinary jets originating from the hadronization of quarks and gluons. The jet dynamics are described as a set of one-to-one interactions between the jet constituents. Based on a representation learned from these interactions, the jet is associated to one of the considered categories. Unlike other architectures, the JEDI-net models achieve their performance without special handling of the sparse input jet representation, extensive pre-processing, particle ordering, or specific assumptions regarding the underlying detector geometry. The presented models give better results with less model parameters, offering interesting prospects for LHC applications.

United States

Eric Moreno

Olmo Cerri

Javier Duarte

Harvey Newman

Avikar Periwal

CERN

Maurizio Pierini

Aidana Serikova

Maria Spiropulu

Jean-Roch Vlimant

JEDI-net: a jet identification algorithm based on interaction networks

Using variational autoencoders trained on known physics processes, we develop a one-sided threshold test to isolate previously unseen processes as outlier events. Since the autoencoder training does not depend on any specific new physics signature, the proposed procedure doesn’t make specific assumptions on the nature of new physics. An event selection based on this algorithm would be complementary to classic LHC searches, typically based on model-dependent hypothesis testing. Such an algorithm would deliver a list of anomalous events, that the experimental collaborations could further scrutinize and even release as a catalog, similarly to what is typically done in other scientific domains. Event topologies repeating in this dataset could inspire new-physics model building and new experimental searches. Running in the trigger system of the LHC experiments, such an application could identify anomalous events that would be otherwise lost, extending the scientific reach of the LHC.

Variational autoencoders for new physics mining at the Large Hadron Collider