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Exploring Theory Space with Monte Carlo Reweighting

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arxiv 1404.7129 v2 pith:MJ3SNBIX submitted 2014-04-28 hep-ph hep-ex

classification hep-phhep-ex
keywords modelsphysicsallowcarloexploringlargemonteparameter
verification ladder T0 review T1 audit T2 compute T3 formal
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Theories of new physics often involve a large number of unknown parameters which need to be scanned. Additionally, a putative signal in a particular channel may be due to a variety of distinct models of new physics. This makes experimental attempts to constrain the parameter space of motivated new physics models with a high degree of generality quite challenging. We describe how the reweighting of events may allow this challenge to be met, as fully simulated Monte Carlo samples generated for arbitrary benchmark models can be effectively re-used. In particular, we suggest procedures that allow more efficient collaboration between theorists and experimentalists in exploring large theory parameter spaces in a rigorous way at the LHC.

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Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 33 citations worldwide. Full citation record

  1. ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation

    hep-ph 2025-02 conditional novelty 6.0 of 10

    ARCANE reweighting adds a carefully designed, zero-average correction to event weights so that positive and negative pathways to the same event cancel, preserving all physical distributions.

  2. The Monte Carlo Ecosystem in High-Energy Physics: A Primer

    hep-ph 2026-05 unverdicted novelty 1.0 of 10

    A primer that surveys the architecture, methodologies, computational challenges, and future trajectory of the Monte Carlo event generator ecosystem in collider physics.

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