• Open Access

OmniFold: A Method to Simultaneously Unfold All Observables

Anders Andreassen, Patrick T. Komiske, Eric M. Metodiev, Benjamin Nachman, and Jesse Thaler
Phys. Rev. Lett. 124, 182001 – Published 7 May 2020
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Abstract

Collider data must be corrected for detector effects (“unfolded”) to be compared with many theoretical calculations and measurements from other experiments. Unfolding is traditionally done for individual, binned observables without including all information relevant for characterizing the detector response. We introduce OmniFold, an unfolding method that iteratively reweights a simulated dataset, using machine learning to capitalize on all available information. Our approach is unbinned, works for arbitrarily high-dimensional data, and naturally incorporates information from the full phase space. We illustrate this technique on a realistic jet substructure example from the Large Hadron Collider and compare it to standard binned unfolding methods. This new paradigm enables the simultaneous measurement of all observables, including those not yet invented at the time of the analysis.

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  • Received 2 December 2019
  • Accepted 3 April 2020

DOI:https://doi.org/10.1103/PhysRevLett.124.182001

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by SCOAP3.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Particles & Fields

Authors & Affiliations

Anders Andreassen1,2,3,*, Patrick T. Komiske4,†, Eric M. Metodiev4,‡, Benjamin Nachman2,§, and Jesse Thaler4,∥

  • 1Department of Physics, University of California, Berkeley, California 94720, USA
  • 2Physics Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
  • 3Google, Mountain View, California 94043, USA
  • 4Center for Theoretical Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA

  • *ajandreassen@google.com
  • pkomiske@mit.edu
  • metodiev@mit.edu
  • §bpnachman@lbl.gov
  • jthaler@mit.edu

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Issue

Vol. 124, Iss. 18 — 8 May 2020

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