@article{TEXTUAL,
      recid = {10333},
      author = {Balunas, William and Cavalli, Donatella and Khoo, Teng  Jian and Klein, Matthew and Loch, Peter and Piazza,  Federica and Pizio, Caterina and Resconi, Silvia and  Schaefer, Douglas and Smith, Russell and Williams, Sarah},
      title = {A Flexible and Efficient Approach to Missing Transverse  Momentum Reconstruction},
      journal = {Computing and Software for Big Science},
      address = {2024-01-02},
      number = {TEXTUAL},
      abstract = {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.},
      url = {http://knowledge.uchicago.edu/record/10333},
}