Soft functions for generic jet algorithms and observables at hadron colliders
A bstract We introduce a method to compute one-loop soft functions for exclusive N - jet processes at hadron colliders, allowing for different definitions of the algorithm that determines the jet regions and of the measurements in those regions. In particular, we generalize the N -jettiness hemisphe...
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| Published in | The journal of high energy physics Vol. 2017; no. 7; pp. 1 - 47 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.07.2017
Springer Nature B.V Springer Berlin SpringerOpen |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1029-8479 1126-6708 1127-2236 1029-8479 |
| DOI | 10.1007/JHEP07(2017)099 |
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| Summary: | A
bstract
We introduce a method to compute one-loop soft functions for exclusive
N
- jet processes at hadron colliders, allowing for different definitions of the algorithm that determines the jet regions and of the measurements in those regions. In particular, we generalize the
N
-jettiness hemisphere decomposition of ref. [1] in a manner that separates the dependence on the jet boundary from the observables measured inside the jet and beam regions. Results are given for several factorizable jet definitions, including anti-
k
T
, XCone, and other geometric partitionings. We calculate explicitly the soft functions for angularity measurements, including jet mass and jet broadening, in
pp
→
L
+ 1 jet and explore the differences for various jet vetoes and algorithms. This includes a consistent treatment of rapidity divergences when applicable. We also compute analytic results for these soft functions in an expansion for a small jet radius
R
. We find that the small-
R
results, including corrections up to
O
R
2
, accurately capture the full behavior over a large range of
R
. |
|---|---|
| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 LA-UR-17-23006 USDOE Laboratory Directed Research and Development (LDRD) Program AC52-06NA25396 |
| ISSN: | 1029-8479 1126-6708 1127-2236 1029-8479 |
| DOI: | 10.1007/JHEP07(2017)099 |