Multi-path effect in population transfer dynamics of the photoassociation of hot Mg atoms by a femtosecond laser pulse

Yu, Jie; Han, Yong‐Chang

doi:10.1016/j.cplett.2022.139405

Cited by 3 publications

(8 citation statements)

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“…The relevant molecular datas, including the potentials, diabatic couplings, electric dipole moments, dynamic electronic polarizabilities, etc., are taken from Refs. [35,37]. 1,024 and 250 grid points are used to express the radial range from 3 to 40 Bohr and the angular range from 0 to π, respectively.…”

Section: Resultsmentioning

confidence: 99%

“…For the details of this method with consideration of fully coupled rovibrational dynamics, one can refer to Ref. [35]. Here, we just briefly list the main equations and numerical parameters.…”

Section: Theoretical Approachmentioning

confidence: 99%

“…where ψ k ξ (R, θ, t) is the nuclear wavefunction of the |ξ〉 state for a given initial random-phase label k. The wavefunction can be divided into R-and θ-dependent parts, with the former expanded on a Fourier grid [38] and the latter expanded on a Legendre-Gauss quadrature grid [35].…”

Section: Theoretical Approachmentioning

confidence: 99%

“…In this paper, the hot Mg atoms at 1000 K are taken as a model system, because it is a prototypical system for the study of PA processes in thermally hot atoms (see, e.g., Refs. [25,[34][35][36]). In thermal conditions, Mg 2 molecules can be produced through the multiphoton PA process by using chirped femtosecond laser pulses [25].…”

Section: Introductionmentioning

confidence: 99%

“…In thermal conditions, Mg 2 molecules can be produced through the multiphoton PA process by using chirped femtosecond laser pulses [25]. Hu et al proposed a full-dimensional thermal-random-phase wavefunction method to simulate the thermal PA process including rovibrational couplings [35]. By using this method, the detailed population transfer dynamics has been revealed by employing the five-electronic-state model [36].…”

Section: Introductionmentioning

confidence: 99%

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Steering thermal photoassociation of magnesium atoms by two time-delayed femtosecond laser pulses

Zhang

Han

et al. 2023

Front. Phys.

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By solving the full-dimensional time-dependent Schrödinger equation with the thermal-random-phase wavepacket method, we investigate the photoassociation (PA) process of hot (1000 K) magnesium atoms induced by two time-delayed femtosecond laser pulses. Driven by the 840 nm fs laser pulses, the Mg2 molecules can be formed on the four excited states, (1)1Πg, (1)1Πu, (2)1Πu, and (2)1Σu+, from the initial electronic ground state X1Σg+. It is found that the three-photon couplings between X1Σg+ and the three ungerade states [(1)1Πu (2)1Πu, and (2)1Σu+], play dominant roles in the population transfer process. By scanning the pulse duration τ from 50 to 200 fs, and varying the delay time δt0 from 0 to 2τ fs, we find that the final PA population is strongly dependent on the two parameters. For a given δt0, the parameter τ can induce a significant variation (2 ∼ 6.8 times) for the final PA population transfer, and for a given τ, one can also obtain a significant variation (2.7 ∼ 3.5 times) of the final PA population by varying δt0. Additionally, the dynamics of the coherently vibrational wavepackets of the four excited states are also influenced by the two parameters.

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Section: Resultsmentioning

confidence: 99%

Section: Theoretical Approachmentioning

confidence: 99%

Section: Theoretical Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Steering thermal photoassociation of magnesium atoms by two time-delayed femtosecond laser pulses

Zhang

Han

et al. 2023

Front. Phys.

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Full-dimensional quantum simulation of X2Σ+ → (2)2Σ+ absorption spectrum of SrLi

et al. 2023

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Cross-Modal Supervised Human Body Pose Recognition Techniques for Through-Wall Radar

Xu,

Liu,

Wang

et al. 2024

Sensors

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Through-wall radar human body pose recognition technology has broad applications in both military and civilian sectors. Identifying the current pose of targets behind walls and predicting subsequent pose changes are significant challenges. Conventional methods typically utilize radar information along with machine learning algorithms such as SVM and random forests to aid in recognition. However, these approaches have limitations, particularly in complex scenarios. In response to this challenge, this paper proposes a cross-modal supervised through-wall radar human body pose recognition method. By integrating information from both cameras and radar, a cross-modal dataset was constructed, and a corresponding deep learning network architecture was designed. During training, the network effectively learned the pose features of targets obscured by walls, enabling accurate pose recognition (e.g., standing, crouching) in scenarios with unknown wall obstructions. The experimental results demonstrated the superiority of the proposed method over traditional approaches, offering an effective and innovative solution for practical through-wall radar applications. The contribution of this study lies in the integration of deep learning with cross-modal supervision, providing new perspectives for enhancing the robustness and accuracy of target pose recognition.

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Multi-path effect in population transfer dynamics of the photoassociation of hot Mg atoms by a femtosecond laser pulse

Cited by 3 publications

References 51 publications

Steering thermal photoassociation of magnesium atoms by two time-delayed femtosecond laser pulses

Steering thermal photoassociation of magnesium atoms by two time-delayed femtosecond laser pulses

Full-dimensional quantum simulation of X2Σ+ → (2)2Σ+ absorption spectrum of SrLi

Cross-Modal Supervised Human Body Pose Recognition Techniques for Through-Wall Radar

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