A Flexible and Efficient Approach to Missing Transverse Momentum Reconstruction

William Balunas, Donatella Cavalli, Teng Jian Khoo, Matthew Klein, Peter Loch, Federica Piazza, Caterina Pizio, Silvia Resconi, Douglas Schaefer, Russell Smith, Sarah Williams

Research output: Contribution to journalArticlepeer-review


Missing transverse momentum is a crucial observable for physics at hadron colliders, being the only constraint on the kinematics of “invisible” objects such as neutrinos and hypothetical dark matter particles. Computing missing transverse momentum at the highest possible precision, particularly in experiments at the energy frontier, can be a challenging procedure due to ambiguities in the distribution of energy and momentum between many reconstructed particle candidates. This paper describes a novel solution for efficiently encoding information required for the computation of missing transverse momentum given arbitrary selection criteria for the constituent reconstructed objects. Pileup suppression using information from both the calorimeter and the inner detector is an integral component of the reconstruction procedure. Energy calibration and systematic variations are naturally supported. Following this strategy, the ATLAS Collaboration has been able to optimise the use of missing transverse momentum in diverse analyses throughout Runs 2 and 3 of the Large Hadron Collider and for future analyses.

Original languageEnglish (US)
Article number2
JournalComputing and Software for Big Science
Issue number1
StatePublished - Dec 2024


  • ETmiss
  • Hadron collider
  • Missing transverse momentum
  • Reconstruction

ASJC Scopus subject areas

  • Software
  • Computer Science (miscellaneous)
  • Nuclear and High Energy Physics


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