PreprintCC BY-NC-ND 4.0arXiv
The recasting bound atlas on pair production of vector-like quarks
Abstract
We present a comprehensive recasting study of pair production of vector-like quarks. We consider decays of vector-like quarks into third generation quarks and Standard Model bosons or exotic top-philic scalars. We derive recasting bounds on all 43 combinations of decay channels. Using the efficiencies of each channel, we obtain combined limits across decay channels by adding up the contributions to each signal region. A data base of recasting results along with example codes is published, allowing for application to different models without the need for rerunning recasting tools. We demonstrate the utility of the data base by setting bounds on several sample models.
Related
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BibTeX
@misc{flacke2026recasting,
title = {{The recasting bound atlas on pair production of vector-like quarks}},
author = {Thomas Flacke and Manuel Kunkel},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.00127},
eprint = {2609.00127},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.00127},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - UNPB
TI - The recasting bound atlas on pair production of vector-like quarks
AU - Thomas Flacke
AU - Manuel Kunkel
PY - 2026
DA - 2026/09/01
PB - arXiv
DO - 10.48550/arxiv.2609.00127
UR - https://arxiv.org/abs/2609.00127
AB - We present a comprehensive recasting study of pair production of vector-like quarks. We consider decays of vector-like quarks into third generation quarks and Standard Model bosons or exotic top-philic scalars. We derive recasting bounds on all 43 combinations of decay channels. Using the efficiencies of each channel, we obtain combined limits across decay channels by adding up the contributions to each signal region. A data base of recasting results along with example codes is published, allowing for application to different models without the need for rerunning recasting tools. We demonstrate the utility of the data base by setting bounds on several sample models.
ER -