High Precision for Hard Processes (HP2 2026)

Session

Track 2 - Soft Functions / Resummation

T2

Oct 6, 2026, 11:00 AM

NTI Hörsaal, building 30.10 (KIT)

Conveners

Track 2 - Soft Functions / Resummation: Parallel Session II

• Aude Gehrmann-DeRidder

55. $N$-jettiness Soft function with massive partons at NNLO

Prem Agarwal

10/6/26, 11:00 AM

1

The soft function is a key ingredient in the implementation of $N$-jettiness slicing. At next-to-next-to-leading order (NNLO), $N$-jettiness soft functions are known for arbitrary $N$ in the case of massless particles. We present an extension of this calculation to processes involving massive partons, thereby enabling applications to processes with top quarks, such as $t \bar t$ + jet...

35. Universal feature of NLP corrections

Sourav Pal (JGU Mainz)

10/6/26, 11:25 AM

2

The inclusion of next-to-leading-power (NLP) corrections is essential for achieving the percent-level theoretical precision required at the LHC. We present a new approach, based on soft theorems, for calculating leading logarithms at NLP for a variety of jet-associated processes and demonstrate their universal features for both soft-gluon and soft-quark radiation.

56. Soft-photon resummation for low-energy e⁺e⁻ scattering

Jeremy Paltrinieri (University of Liverpool)

10/6/26, 11:50 AM

2

Precision studies of low-energy e⁺e⁻ annihilation, most notably the extraction of the hadronic vacuum polarisation contribution to the muon anomalous magnetic moment, require theoretical control over the multi-photon radiation phase-space. This demands inclusion of soft photon emission to all orders, consistently matched to fixed-order cross-sections.
I present a Fortran implementation of...

54. Threshold resummation of rapidity distributions at fixed partonic rapidity

Davide Maria Tagliabue (KIT (TTP))

10/6/26, 12:15 PM

1

I present an all-order direct-QCD resummation of rapidity distributions in the threshold limit at fixed partonic rapidity. The formalism is applied to Drell–Yan production, where matching to NNLO determines the resummation coefficients up to NNLL accuracy. I then show the equivalence between our approach and the corresponding SCET formulation.