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The lunar surface is a compelling location for large, distributed optical facilities, with significant advantages over orbital facilities for high spatial resolution astrophysics. The serious development of mission concepts is timely…

Over the past decade, astronomers have been using an increasingly larger number of web-based applications and archives to conduct their research. However, despite the early success in creating links across projects and data centers, the…

Instrumentation and Methods for Astrophysics · Physics 2015-03-17 Alberto Accomazzi , Michael J. Kurtz , Stephen S. Murray

Strong light-matter interactions enabled by surface plasmons have given rise to a wide range of photonic, optoelectronic and chemical functionalities. In recent years, the interest in this research area has focused on the quantum regime,…

We present a review of data types and statistical methods often encountered in astronomy. The aim is to provide an introduction to statistical applications in astronomy for statisticians and computer scientists. We highlight the complex,…

Physics Education · Physics 2017-10-23 James P. Long , Rafael S. de Souza

Controlling and detecting thermal radiation is of vital importance for varied applications ranging from energy conversion systems and nanoscale information processing devices to infrared imaging, spectroscopy and sensing. We review the…

Optics · Physics 2020-08-05 Xueji Wang , Ryan Starko-Bowes , Chinmay Khandekar , Zubin Jacob

The simple physics of microlensing provides a well-understood tool with which to probe the atmospheres of distant stars in the Galaxy and Local Group with high magnification and resolution. Recent results in measuring stellar surface…

Astrophysics · Physics 2007-05-23 Penny D. Sackett

This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementation philosophies reported in the field. It emphasizes the…

Emerging Technologies · Computer Science 2025-01-17 Daniel Brunner , Bhavin J. Shastri , Mohammed A. Al Qadasi , H. Ballani , Sylvain Barbay , Stefano Biasi , Peter Bienstman , Simon Bilodeau , Wim Bogaerts , Fabian Böhm , G. Brennan , Sonia Buckley , Xinlun Cai , Marcello Calvanese Strinati , B. Canakci , Benoit Charbonnier , Mario Chemnitz , Yitong Chen , Stanley Cheung , Jeff Chiles , Suyeon Choi , Demetrios N. Christodoulides , Lukas Chrostowski , J. Chu , J. H. Clegg , D. Cletheroe , Claudio Conti , Qionghai Dai , Luigi Di Lauro , Nikolaos Panteleimon Diamantopoulos , Niyazi Ulas Dinc , Jacob Ewaniuk , Shanhui Fan , Lu Fang , Riccardo Franchi , Pedro Freire , Silvia Gentilini , Sylvain Gigan , Gian Luca Giorgi , C. Gkantsidis , J. Gladrow , Elena Goi , M. Goldmann , A. Grabulosa , Min Gu , Xianxin Guo , Matěj Hejda , F. Horst , Jih Liang Hsieh , Jianqi Hu , Juejun Hu , Chaoran Huang , Antonio Hurtado , Lina Jaurigue , K. P. Kalinin , Morteza Kamalian Kopae , D. J. Kelly , Mercedeh Khajavikhan , H. Kremer , Jeremie Laydevant , Joshua C. Lederman , Jongheon Lee , Daan Lenstra , Gordon H. Y. Li , Mo Li , Yuhang Li , Xing Lin , Zhongjin Lin , Mieszko Lis , Kathy Lüdge , Alessio Lugnan , Alessandro Lupo , A. I. Lvovsky , Egor Manuylovich , Alireza Marandi , Federico Marchesin , Serge Massar , Adam N. McCaughan , Peter L. McMahon , Miltiadis Moralis Pegios , Roberto Morandotti , Christophe Moser , David J. Moss , Avilash Mukherjee , Mahdi Nikdast , B. J. Offrein , Ilker Oguz , Bakhrom Oripov , G. O'Shea , Aydogan Ozcan , F. Parmigiani , Sudeep Pasricha , Fabio Pavanello , Lorenzo Pavesi , Nicola Peserico , L. Pickup , Davide Pierangeli , Nikos Pleros , Xavier Porte , Bryce A. Primavera , Paul Prucnal , Demetri Psaltis , Lukas Puts , Fei Qiao , B. Rahmani , Fabrice Raineri , Carlos A. Ríos Ocampo , Joshua Robertson , Bruno Romeira , Charles Roques Carmes , Nir Rotenberg , A. Rowstron , Steffen Schoenhardt , Russell L . T. Schwartz , Jeffrey M. Shainline , Sudip Shekhar , Anas Skalli , Mandar M. Sohoni , Volker J. Sorger , Miguel C. Soriano , James Spall , Ripalta Stabile , Birgit Stiller , Satoshi Sunada , Anastasios Tefas , Bassem Tossoun , Apostolos Tsakyridis , Sergei K. Turitsyn , Guy Van der Sande , Thomas Van Vaerenbergh , Daniele Veraldi , Guy Verschaffelt , E. A. Vlieg , Hao Wang , Tianyu Wang , Gordon Wetzstein , Logan G. Wright , Changming Wu , Chu Wu , Jiamin Wu , Fei Xia , Xingyuan Xu , Hangbo Yang , Weiming Yao , Mustafa Yildirim , S. J. Ben Yoo , Nathan Youngblood , Roberta Zambrini , Haiou Zhang , Weipeng Zhang

We review recent progress at the Centre for Cold Matter in developing atom chips. An important advantage of miniaturizing atom traps on a chip is the possibility of obtaining very tight trapping structures with the capability of…

Quantum Physics · Physics 2017-08-23 E. A. Hinds , M. Trupke , B. Darquié , J. Goldwin , G. Dutier

Quantum technologies promise profound advances in communication security, sensing and computing. The underpinning hardware must be engineered to generate, manipulate and detect quantum phenomena with exceptional performance, whilst being…

Quantum Physics · Physics 2025-07-15 R. N. Clark , B. Puzio , O. M. Green , S. T. Pradyumna , O. Trojak , A. Politi , J. C. F. Matthews

The paper reviews recent progress in particle identification methods. A survey of motivations and requirements for particle identification in various experimental environments is followed by the main emphasis, which is on the recent…

Instrumentation and Detectors · Physics 2008-11-26 Peter Krizan

Interest in pupil-remapping interferometry, in which a single telescope pupil is fragmented and recombined using fiber optic technologies, has been growing among a number of groups. As a logical extrapolation from several highly successful…

Unlike conventional optics, plasmonics enables unrivalled concentration of optical energy well beyond the diffraction limit of light. However, a significant part of this energy is dissipated as heat. Plasmonic losses present a major hurdle…

Machine learning has rose to become an important research tool in the past decade, its application has been expanded to almost if not all disciplines known to mankind. Particularly, the use of machine learning in astrophysics research had a…

Instrumentation and Methods for Astrophysics · Physics 2023-12-18 John Y. H. Soo , Ishaq Y. K. Alshuaili , Imdad Mahmud Pathi

All sciences, including astronomy, are now entering the era of information abundance. The exponentially increasing volume and complexity of modern data sets promises to transform the scientific practice, but also poses a number of common…

Astrophysics · Physics 2016-11-17 S. G. Djorgovski

Astrophysics and cosmology are rich with data. The advent of wide-area digital cameras on large aperture telescopes has led to ever more ambitious surveys of the sky. Data volumes of entire surveys a decade ago can now be acquired in a…

Instrumentation and Methods for Astrophysics · Physics 2017-04-18 Jan Kremer , Kristoffer Stensbo-Smidt , Fabian Gieseke , Kim Steenstrup Pedersen , Christian Igel

The widespread dissemination of machine learning tools in science, particularly in astronomy, has revealed the limitation of working with simple single-task scenarios in which any task in need of a predictive model is looked in isolation,…

High Energy Astrophysical Phenomena · Physics 2018-12-27 Ricardo Vilalta

The current and prospective status of astronomical research in Ukraine is discussed. A brief history of astronomical research in Ukraine is presented and the system organizing scientific activity is described, including astronomy education,…

Astrophysics · Physics 2015-06-24 Ya. V. Pavlenko , I. B. Vavilova , T. Kostiuk

Lightsails are a highly promising spacecraft concept that has attracted interest in recent years due to its potential to travel at near-relativistic speeds. Such speeds, which current conventional crafts cannot reach, offer tantalizing…

Instrumentation and Methods for Astrophysics · Physics 2025-09-05 Jadon Y. Lin , C. Martijn de Sterke , Ognjen Ilic , Boris T. Kuhlmey

In recent decades, the demand for computational power has surged, particularly with the rapid expansion of artificial intelligence (AI). As we navigate the post-Moore's law era, the limitations of traditional electrical digital computing,…

Modern imaging technologies are widely based on classical principles of light or electromagnetic wave propagation. They can be remarkably sophisticated, with recent successes ranging from single molecule microscopy to imaging far-distant…