activity
20022025
most citedSimplified Models for LHC New Physics Searches

477 citations · 3.3k across the 48 of their papers we have counts for

collaborators

48 papers

hep-ph2025★ 1 cited

Quantifying EFT Uncertainties in LHC Searches

Spencer Chang, Markus A. Luty, Teng Ma +2

Effective Field Theory (EFT) is a general framework to parametrize the low-energy approximation to a UV model that is widely used in model-independent searches for new physics. The…

hep-ph2023★ 12 cited

Primary Observables for Top Quark Collider Signals

Layne Bradshaw, Spencer Chang

At the HL-LHC and future high energy colliders, a sample of a billion top quarks will be produced, allowing precision searches for new physics in top quark decay and production. To…

hep-ph2022★ 15 cited

Primary Observables for Indirect Searches at Colliders

Spencer Chang, Miranda Chen, Da Liu +1

We consider the complete set of observables for collider searches for indirect effects of new heavy physics. They consist of invariant interacti…

hep-ph2022

Snowmass 2021 White Paper: Higgs Coupling Sensitivities and Model-Independent Bounds on the Scale of New Physics

Fayez Abu-Ajamieh, Spencer Chang, Miranda Chen +2

In this Snowmass white paper, we describe how unitarity bounds can convert sensitivities for Higgs couplings at future colliders into sensitivities to the scale of new physics. Thi…

hep-ph2022

Creating Simple, Interpretable Anomaly Detectors for New Physics in Jet Substructure

Layne Bradshaw, Spencer Chang, Bryan Ostdiek

Anomaly detection with convolutional autoencoders is a popular method to search for new physics in a model-agnostic manner. These techniques are powerful, but they are still a "bla…

cs.LG2021★ 1 cited

Labels, Information, and Computation: Efficient Learning Using Sufficient Labels

Shiyu Duan, Spencer Chang, Jose C. Principe

In supervised learning, obtaining a large set of fully-labeled training data is expensive. We show that we do not always need full label information on every single training exampl…