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