Tootfinder

Citizen science illuminates the nature of city lights: #LightPollution

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High resolution up-conversion imaging in the 10 {\mu}m band under incoherent illumination
Zhao-Qi-Zhi Han, Xiao-Hua Wang, Jin-Peng Li, Bo-Wen Liu, Zheng-He Zhou, He Zhang, Yin-Hai Li, Zhi-Yuan Zhou, Bao-Sen Shi
https://arxiv.org/abs/2505.24367

High resolution up-conversion imaging in the 10 μm band under incoherent illumination
Long-wavelength infrared band exhibits significant utility in thermal signature acquisition and molecular spectral analysis, among other applications. The up-conversion detection technique enables effective signal transduction into the detection bandwidth of silicon-based photodetectors, thereby facilitating high-sensitivity photonic measurements. We realized high-resolution up-conversion imaging for incoherent thermal targets in the 10 μm spectral regime for the first time. Furthermore, this …

Raining Aria 🎶
雨咏叹调 🎶
📷 Pentax MX
🎞️Fomapan 400 Action
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

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Optical appearance of Schwarzschild black holes with optically thin and thick accretion disks at various inclination angles
Jiawei Chen, Jinsong Yang
https://arxiv.org/abs/2506.22891

Optical appearance of Schwarzschild black holes with optically thin and thick accretion disks at various inclination angles
In this paper, we systematically investigate the optical appearance of a Schwarzschild black hole illuminated by three geometrically thin accretion disk models under varying observational inclination angles. Based on the geometric relationship between the black hole and observer, we first divide the accretion disk into co-side and counter-side semi-disks. Subsequently, we analyze their differences in photon orbit distributions, transfer functions, and received intensities. Our results reveal di…

Thermal-phototactic bioconvection in a forward scattering algal suspension
S. K. Rajput, M. K. Panda, A. Rathi
https://arxiv.org/abs/2506.23224 https://

Thermal-phototactic bioconvection in a forward scattering algal suspension
Bioconvection induced by phototaxis and thermal gradients in an anisotropic (forward) scattering algal suspension is investigated in this article. The suspension is illuminated by collimated irradiation from above and heated either from top or bottom. The linear theory is deployed on the steady state of the proposed bioconvective system and resulting eigen value problem is solved using fourth-order accurate finite-difference scheme based on Newton-Raphson-Kantorovich iteration. The results indi…

This https://arxiv.org/abs/2505.22223 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Bayesian Learning in Structural Dynamics: A Comprehensive Review and Emerging Trends
Bayesian learning has emerged as a compelling and vital research direction in the field of structural dynamics, offering a probabilistic lens to understand and refine the analysis of complex dynamical systems. This review meticulously traces the three-decade evolution of Bayesian learning in structural dynamics, illuminating core principles, groundbreaking methodologies, and diverse applications that have significantly influenced the field. The narrative commences by delving into the basics of …

Probing the tetrahedral $\alpha$ clusters in relativistic $^{16}$O $^{16}$O collisions
Jin-Yu Hu, Hao-jie Xu, Xiaobao Wang, Shi Pu
https://arxiv.org/abs/2507.01493

Probing the tetrahedral $α$ clusters in relativistic $^{16}$O + $^{16}$O collisions
Relativistic $^{16}$O +$^{16}$O collisions probe the Quark-Gluon Plasma formed in small systems, while their collective phenomena illuminate the structure of $^{16}$O. Recently, various configurations of $^{16}$O from \textit{ab initio} calculations were implemented in heavy-ion models, such as the hydrodynamic model and a multiphase transport model (AMPT) to study cluster effects in relativistic $^{16}$O +$^{16}$O collisions. However, divergent predictions across configurations and models comp…

Bayesian Learning in Structural Dynamics: A Comprehensive Review and Emerging Trends
Wang-Ji Yan, Lin-Feng Mei, Yuan-Wei Yin, Jiang Mo, Costas Papadimitriou, Ka-Veng Yuen, Michael Beer
https://arxiv.org/abs/2505.22223

Bayesian Learning in Structural Dynamics: A Comprehensive Review and Emerging Trends
Bayesian learning has emerged as a compelling and vital research direction in the field of structural dynamics, offering a probabilistic lens to understand and refine the analysis of complex dynamical systems. This review meticulously traces the three-decade evolution of Bayesian learning in structural dynamics, illuminating core principles, groundbreaking methodologies, and diverse applications that have significantly influenced the field. The narrative commences by delving into the basics of …