REVIEW 2 cited by
Finding physics signals with event deconstruction
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Signed reviews
read the original abstract
We develop a matrix element based reconstruction method called event deconstruction. The method uses information from the hard matrix element and a parton shower to assign probabilities to whether a final state was initiated by a signal or background process. We apply this method in the signal process of a Z' decaying to boosted top quarks in an all hadronic final state and discuss envisioned improvements of the method. We find that event deconstruction can considerably improve on existing reconstruction techniques.
Forward citations
Cited by 2 Pith papers
-
Theory-informed neural networks for particle physics
A Deep Q-Network using matrix-element rewards reconstructs parton assignments in collider events, enabling theory-based tagging and anomaly detection without labels.
-
Towards a generic implementation of matrix-element maximisation as a classifier in particle physics
Matrix-element maximisation classifies ttH events with 60-85% of the significance of the traditional integration-based MEM while being up to two orders of magnitude faster.
Discussion (0). Continue with ORCID to comment.