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MISTRAL is a visible and near infrared imager and spectrograph working with the $1.93m$ telescope at L'Observatoire de Haute-Provence. The goal of the present project is to design and build one custom lens covering the entire working band…

Instrumentation and Methods for Astrophysics · Physics 2024-10-03 Eduard Muslimov , Jerome Schmitt , Christophe Adami , Michel Dennefeld , Marc Ferrari

We present Large Inverse Rendering Model (LIRM), a transformer architecture that jointly reconstructs high-quality shape, materials, and radiance fields with view-dependent effects in less than a second. Our model builds upon the recent…

Computer Vision and Pattern Recognition · Computer Science 2025-04-29 Zhengqin Li , Dilin Wang , Ka Chen , Zhaoyang Lv , Thu Nguyen-Phuoc , Milim Lee , Jia-Bin Huang , Lei Xiao , Cheng Zhang , Yufeng Zhu , Carl S. Marshall , Yufeng Ren , Richard Newcombe , Zhao Dong

The Deformable Mirror Simulator (DMS) is an optical device reproducing the F/13 beam from the adaptive secondary mirror of the Very Large Telescope UT4. The system has been designed and integrated as a test tool for the calibration and…

Instrumentation and Methods for Astrophysics · Physics 2022-07-29 Runa Briguglio , Armando Riccardi , Luca Carbonaro , Enrico Pinna , Chiara Selmi , Paolo Grani

In astronomy, image slicer integral field units (IFUs) are often used in integral field spectrographs to simultaneously record spatial and spectral information. The majority of astronomical instruments, including integral field…

Instrumentation and Methods for Astrophysics · Physics 2026-04-20 Ellen Lee

SkyMapper is amongst the first of a new generation of dedicated, wide-field survey telescopes. The 1.3m SkyMapper telescope features a 5.7 square degree field-of-view Cassegrain imager and will see first light in late 2007. The primary goal…

Astrophysics · Physics 2015-05-13 S. C. Keller , B. P. Schmidt , M. S Bessell

Optical blur is an inherent property of any lens system and is challenging to model in modern cameras because of their complex optical elements. To tackle this challenge, we introduce a high-dimensional neural representation of…

Image and Video Processing · Electrical Eng. & Systems 2025-07-18 Esther Y. H. Lin , Zhecheng Wang , Rebecca Lin , Daniel Miau , Florian Kainz , Jiawen Chen , Xuaner Cecilia Zhang , David B. Lindell , Kiriakos N. Kutulakos

Understanding the formation and evolution of galaxies over cosmic time is one of the foremost goals of astrophysics and cosmology today. The cosmic star formation rate has undergone a dramatic evolution over the course of the last 14…

Today, wide-open, high-resolution Doppler frequency shift (DFS) estimation is essential for radar, microwave/millimeter-wave, and communication systems. Using photonics technology, an effective approach is proposed and experimentally…

Optics · Physics 2014-04-09 Xihua Zou , Wangzhe Li , Bing Lu , Wei Pan , Lianshan Yan , Liyang Shao

Schlieren deflectometry aims at characterizing the deflections undergone by refracted incident light rays at any surface point of a transparent object. For smooth surfaces, each surface location is actually associated with a sparse…

Computer Vision and Pattern Recognition · Computer Science 2012-12-04 Prasad Sudhakar , Laurent Jacques , Xavier Dubois , Philippe Antoine , Luc Joannes

Swept laser interferometry is an extremely powerful solution embedded in several recent technologies such as absolute distance measurement, light detection and ranging, optical frequency domain reflectometry, optical coherence tomography,…

Optics · Physics 2024-07-30 Osama Terra , Warren Jin , Hussein Kotb , Joel Guo , John E. Bowers

Snapshot Multispectral Light-field Imaging (SMLI) is an emerging computational imaging technique that captures high-dimensional data (x, y, z, $\theta$, $\phi$, $\lambda$) in a single shot using a low-dimensional sensor. The accuracy of…

Signal Processing · Electrical Eng. & Systems 2025-09-03 Erqi Huang , John Restrepo , Xun Cao , Ivo Ihrke

To overcome hardware limitations in commercially available depth sensors which result in low-resolution depth maps, depth map super-resolution (DMSR) is a practical and valuable computer vision task. DMSR requires upscaling a low-resolution…

Computer Vision and Pattern Recognition · Computer Science 2023-06-28 Ryan Peterson , Josiah Smith

LOFAR (Low Frequency Array) is an innovative radio telescope optimized for the frequency range 30-240 MHz. The telescope is realized as a phased aperture array without any moving parts. Digital beam forming allows the telescope to point to…

Structured illumination microscopy (SIM) reconstructs a super-resolved image from multiple raw images captured with different illumination patterns; hence, acquisition speed is limited, making it unsuitable for dynamic scenes. We propose a…

Optics · Physics 2025-06-17 Ruiming Cao , Fanglin Linda Liu , Li-Hao Yeh , Laura Waller

Due to ionosphere absorption and the interference by natural and artificial radio emissions, ground observation of the sky at the decameter or longer is very difficult. This unexplored part of electromagnetic spectrum has the potential of…

We propose to search for (ultra)-light scalar dark matter (DM) using synchrotron radiation based M\"ossbauer spectroscopy technique. Such DM induces temporal variation in various fundamental constants, which in turn causes time modulation…

High Energy Physics - Phenomenology · Physics 2024-08-12 Abhishek Banerjee

Dynamic spectrum access (DSA) has become a key pillar of next-generation wireless systems to address the spectrum scarcity due to the rapid growth of connected devices. Accurate short-term spectrum forecasting is critical for DSA, where…

Networking and Internet Architecture · Computer Science 2026-05-12 Mohammad Mosiur Lunar , Mehmet C. Vuran

The ultra-long wavelength sky ($\nu\lesssim 30$ MHz) is still largely unexplored, as the electromagnetic wave is heavily absorbed and distorted by the ionosphere on Earth. The far-side of the Moon, either in lunar-orbit or on lunar-surface,…

Astrophysics of Galaxies · Physics 2025-11-04 Qige Ao , Furen Deng , Yidong Xu , Bin Yue , Huanyuan Shan , Xuelei Chen

Decentralized machine learning (DML) supports collaborative training in large-scale networks with no central server. It is sensitive to the quality and reliability of inter-device communications that result in time-varying and stochastic…

Signal Processing · Electrical Eng. & Systems 2025-11-06 Zhiyuan Zhai , Shuyan Hu , Wei Ni , Xiaojun Yuan , Xin Wang