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Optimal Mass Variables for Semivisible Jets
by Kevin Pedro, Prasanth Shyamsundar
This Submission thread is now published as
Submission summary
| Authors (as registered SciPost users): | Kevin Pedro |
| Submission information | |
|---|---|
| Preprint Link: | https://arxiv.org/abs/2303.16253v4 (pdf) |
| Code repository: | http://github.com/kpedro88/evn_svj_public |
| Date accepted: | 2023-09-15 |
| Date submitted: | 2023-07-21 13:40 |
| Submitted by: | Pedro, Kevin |
| Submitted to: | SciPost Physics Core |
| Ontological classification | |
|---|---|
| Academic field: | Physics |
| Specialties: |
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| Approaches: | Computational, Phenomenological |
Abstract
Strongly coupled hidden sector theories predict collider production of invisible, composite dark matter candidates mixed with standard model hadrons in the form of semivisible jets. Classical mass reconstruction techniques may not be optimal for these unusual topologies, in which the missing transverse momentum comes from massive particles and has a nontrivial relationship to the visible jet momentum. We apply the artificial event variable network, a semisupervised, interpretable machine learning technique that uses an information bottleneck, to derive superior mass reconstruction functions for several cases of resonant semivisible jet production. We demonstrate that the technique can extrapolate to unknown signal model parameter values. We further demonstrate the viability of conducting an actual search for new physics using this method, by applying the learned functions to standard model background events from quantum chromodynamics.
Author comments upon resubmission
List of changes
* Section 1, paragraph 3: fix typo "will may" -> "may include"
* Section 2, paragraph 3: add information about Yukawa coupling dependence: “...shown in Fig. 2 for the chosen Yukawa coupling value y_dark = 1.0. Nonresonant production depends more strongly on y_dark than single production, while pair production primarily depends only on α_S; therefore, the relative fractions of the resonant production modes would increase for smaller y_dark values and decrease for larger y_dark values.”
* Section 4.1, paragraph 2: add a note about the calibration fit: “(The constant term in the linear fit is found to be very small and is therefore neglected.)”
Published as SciPost Phys. Core 6, 067 (2023)