25–27 Sept 2025
College of Education (Bldg 301), Multipurpose Hall (1st Floor), Gyeongsang National University (Gajwa Cam)
Asia/Seoul timezone

Toward Precision Antideuteron Spectra from Dark Matter: Percent-Level Uncertainty Control

25 Sept 2025, 16:30
40m
124 (College of Education (Bldg 301), Multipurpose Hall (1st Floor), Gyeongsang National University (Gajwa Cam))

124

College of Education (Bldg 301), Multipurpose Hall (1st Floor), Gyeongsang National University (Gajwa Cam)

경상국립대학교 가좌캠퍼스 사범대학 교육1호관 1층 다목적홀 (301동 124호)

Speaker

Dr Adil Jueid (IBS-CTPU-PTC)

Description

The detection of cosmic antideuterons ($\overline{\rm D}$) at kinetic energies below a few GeV/n could provide a smoking gun signature for dark matter (DM). However, the theoretical uncertainties of coalescence models have represented so far one of the main limiting factors for precise predictions of the $\overline{\rm D}$ flux. In this talk, I will present a novel calculation of the $\overline{\rm D}$ source spectra, based on the Wigner formalism, for which the Argonne $v_{18}$ antideuteron wavefunction is implemented. The advantage of this approach is that this wave function does not have any free parameters related to the coalescence process. I show that the Argonne/Wigner model excellently reproduces the $\overline{\rm D}$ multiplicity measured by ALEPH at the $Z$-boson pole, which is usually adopted to tune the coalescence models based on different approaches. With this Monte Carlo approach, I show that the current theoretical uncertainty on the prediction of the $\overline{\rm D}$ source spectra to a few percent, for $\overline{\rm D}$ kinetic energies relevant to DM searches with GAPS and AMS, and for DM masses above a few tens of GeV. This result implies that the theoretical uncertainties due to the coalescence process are no longer the main limiting factor in the predictions.

Talk is based on:
https://arxiv.org/abs/2411.04815 (accepted for publication in PRL)
https://arxiv.org/abs/2312.01153
Discussion about QCD modeling is based on:
https://arxiv.org/abs/2303.11363
https://arxiv.org/abs/2202.11546
Dataset and code repo:
https://github.com/ajueid/CosmiXs.git

Presentation materials