A complete effective field theory for dark matter

Criado, Juan Carlos; Djouadi, Abdelhak; Pérez-Victoria, M.; Santiago, José

doi:10.1007/jhep07(2021)081

Cited by 25 publications

(21 citation statements)

References 117 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some examples of DM collider searches with simplified models, including monojet analysis, can be found in Refs. [6][7][8][9][10][11][12][13][14][15][16][17][18][19]. We study Axion-Like Particles (ALP) as DM, and three theoretical models with a mediator (with spin-0, 1 and 2) and a DM candidate.…”

Section: Introductionmentioning

confidence: 99%

Towards a method to anticipate dark matter signals with deep learning at the LHC

et al. 2022

View full text Add to dashboard Cite

We study several simplified dark matter (DM) models and their signatures at the LHC using neural networks. We focus on the usual monojet plus missing transverse energy channel, but to train the algorithms we organize the data in 2D histograms instead of event-by-event arrays. This results in a large performance boost to distinguish between standard model (SM) only and SM plus new physics signals. We use the kinematic monojet features as input data which allow us to describe families of models with a single data sample. We found that the neural network performance does not depend on the simulated number of background events if they are presented as a function of S/\sqrt{B}S/B, for reasonably large BB, where SS and BB are the number of signal and background events per histogram, respectively. This provides flexibility to the method, since testing a particular model in that case only requires knowing the new physics monojet cross section. Furthermore, we also discuss the network performance under incorrect assumptions about the true DM nature. Finally, we propose multimodel classifiers to search and identify new signals in a more general way, for the next LHC run.

show abstract

Section: Introductionmentioning

confidence: 99%

Towards a method to anticipate dark matter signals with deep learning at the LHC

et al. 2022

View full text Add to dashboard Cite

show abstract

“…In general, the DM can be scalar [14][15][16][17][18], fermion (Dirac or Majorana) [15][16][17][18][19][20][21][22] or vector state [15,17,18,23]. In this work we focus on a vector model of the DM, whose kinematical Lagrangian is given as,…”

Section: Introductionmentioning

confidence: 99%

Mono-$γ$ Production of a Vector Dark Matter at Future $e^+e^-$ Collider

Ma¹

2022

Preprint

View full text Add to dashboard Cite

Associated production of a dark particle and a photon, represented as a mono-γ event, is a promising channel to probe particle contents and dynamics in the dark sector. In this paper we study properties of the mono-γ production of a vector dark matter at future e + e − colliders.The photon-like and Pauli operators, as well as triple gauge bosons interactions involving the dark matter, are considered in the framework of Effective Field Theory. We show that, comparing to the Pauli operator, the triple gauge bosons couplings are much more interesting at high energy collider.Beam polarization effects are also analyzed, and we show that the experimental sensitivities can not be enhanced significantly because of the smaller luminosity.

show abstract

“…Our comprehensive approach builds on previous works, in which SM particles are coupled to specific hidden particles, see e.g. [91][92][93][94][95], and is closely related to EFTs describing non-relativistic dark matter (DM) interactions [96][97][98][99][100][101][102][103][104].…”

Section: Introductionmentioning

confidence: 99%

Portal Effective Theories. A framework for the model independent description of light hidden sector interactions

Arina

Hajer

Klose

2021

J. High Energ. Phys.

View full text Add to dashboard Cite

We present a framework for the construction of portal effective theory (PETs) that couple effective field theories of the Standard Model (SM) to light hidden messenger fields. Using this framework we construct electroweak and strong scale PETs that couple the SM to messengers carrying spin zero, one half, or one. The electroweak scale PETs encompass all portal operators up to dimension five, while the strong scale PETs additionally contain all portal operators of dimension six and seven that contribute at leading order to quark-flavour violating transitions. Using the strong scale PETs, we define a set of portal currents that couple hidden sectors to QCD, and construct portal chiral perturbation theory (χPTs) that relate these currents to the light pseudoscalar mesons. We estimate the coefficients of the portal χPT Lagrangian that are not fixed by SM observations using non-perturbative matching techniques and give a complete list of the resulting one- and two-meson portal interactions. From those, we compute transition amplitudes for three golden channels that are used in hidden sector searches at fixed target experiments: i) charged kaon decay into a charged pion and a spin zero messenger, ii) charged kaon decay into a charged lepton and a spin one half messenger, and iii) neutral pion decay into a photon and a spin one messenger. Finally, we compare these amplitudes to specific expressions for models featuring light scalar particles, axion-like particles, heavy neutral leptons, and dark photons.

show abstract

A complete effective field theory for dark matter

Cited by 25 publications

References 117 publications

Towards a method to anticipate dark matter signals with deep learning at the LHC

Towards a method to anticipate dark matter signals with deep learning at the LHC

Mono-$γ$ Production of a Vector Dark Matter at Future $e^+e^-$ Collider

Portal Effective Theories. A framework for the model independent description of light hidden sector interactions

Contact Info

Product

Resources

About