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相关论文: The True Bottleneck of Modern Scientific Computing…

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We should be in a golden age of scientific discovery, given that we have more data and more compute power available than ever before, plus a new generation of algorithms that can learn effectively from data. But paradoxically, in many…

分布式、并行与集群计算 · 计算机科学 2020-06-26 Niall H. Robinson , Joe Hamman , Ryan Abernathey

Observational astronomy is the beneficiary of an ancient chain of apprenticeship. Kepler's laws required Tycho's data. As the pace of discoveries has increased over the centuries, so has the cadence of tutelage (literally, "watching over").…

天体物理学 · 物理学 2009-11-13 Robert Seaman

This article looks at philosophical aspects and questions that modern astrophysical research gives rise to. Other than cosmology, astrophysics particularly deals with understanding phenomena and processes operating at "intermediate" cosmic…

物理学史与哲学 · 物理学 2015-10-13 Sibylle Anderl

With the volume and availability of astronomical data growing rapidly, astronomers will soon rely on the use of machine learning algorithms in their daily work. This proceeding aims to give an overview of what machine learning is and delve…

天体物理仪器与方法 · 物理学 2025-08-06 Sara A. Webb , Simon R. Goode

Artificial intelligence technology has been widely used in astronomy, and new artificial intelligence technologies and application scenarios are constantly emerging. There have been a large number of papers reviewing the application of…

天体物理仪器与方法 · 物理学 2024-01-17 Kang Huang , Tianzhu Hu , Jingyi Cai , Xiushan Pang , Yonghui Hou , Yong Zhang , Huaiqing Wang , Xiangqun Cui

Astronomers have come to recognize the benefits of photonics, often in combination with optical systems, in solving longstanding experimental problems in Earth-based astronomy. Here, we explore some of the recent advances made possible by…

天体物理仪器与方法 · 物理学 2019-10-02 Barnaby Norris , Joss Bland-Hawthorn

This textbook provides a systematic treatment of statistical machine learning for astronomical research through the lens of Bayesian inference, developing a unified framework that reveals connections between modern data analysis techniques…

天体物理仪器与方法 · 物理学 2025-06-17 Yuan-Sen Ting

The artificial intelligence industry is not an isolated economic phenomenon; it is the current physical substrate for a broader, multi-billion-year process: the evolution of an abstract intelligence on Earth. As the scale of computation…

物理与社会 · 物理学 2026-05-29 William Yicheng Zhu , Lei Zhu

Popular accounts of exciting discoveries often draw students to physics and astronomy, but at the introductory level it is challenging to connect with these in a meaningful way. The use of real astronomical data in the classroom can help…

物理教育 · 物理学 2021-03-16 Jeffrey M. Hyde

We stand at the foot of a significant inflection in the trajectory of scientific discovery. As society continues on its fast-paced digital transformation, so does humankind's collective scientific knowledge and discourse. We now read and…

计算与语言 · 计算机科学 2023-05-26 Tom Hope , Doug Downey , Oren Etzioni , Daniel S. Weld , Eric Horvitz

An array of large observational programs using ground-based and space-borne telescopes is planned in the next decade. The forthcoming wide-field sky surveys are expected to deliver a sheer volume of data exceeding an exabyte. Processing the…

天体物理仪器与方法 · 物理学 2023-05-26 Kana Moriwaki , Takahiro Nishimichi , Naoki Yoshida

In this work, we identify elements of effective machine learning datasets in astronomy and present suggestions for their design and creation. Machine learning has become an increasingly important tool for analyzing and understanding the…

天体物理仪器与方法 · 物理学 2022-11-30 Bernie Boscoe , Tuan Do , Evan Jones , Yunqi Li , Kevin Alfaro , Christy Ma

We are told that we are living in a Golden Age of Astronomy. Cosmological Parameters are found with un precedented accuracy. Yet, the known form of matter forms only a small fraction of the total energy density of the universe. Also, a…

天体物理学 · 物理学 2007-05-23 Kameshwar C. Wali

Unfettered access to dark night skies is rapidly diminishing, due to light pollution and satellite mega-constellations tracks. Scientists should wake up and do more to stand up to Big Light and Big Space and preserve this natural resource.

物理与社会 · 物理学 2023-07-10 Fabio Falchi , Salvador Bará , Pierantonio Cinzano , Raul C. Lima , Martin Pawley

Measuring scientific development is a difficult task. Different metrics have been put forward to evaluate scientific development; in this paper we explore a metric that uses the number of peer-reviewed, and when available non-peer-reviewed…

天体物理仪器与方法 · 物理学 2013-11-04 V. A. R. M. Ribeiro , P. Russo , A. Cardenas-Avendano

Most major discoveries in astronomy are unplanned, and result from surveying the Universe in a new way, rather than by testing a hypothesis or conducting an investigation with planned outcomes. For example, of the 10 greatest discoveries…

天体物理仪器与方法 · 物理学 2017-02-08 Ray P Norris

Quantum computing technologies have become a hot topic in academia and industry receiving much attention and financial support from all sides. Building a quantum computer that can be used practically is in itself an outstanding challenge…

计算工程、金融与科学 · 计算机科学 2018-02-16 Matthias Möller , Cornelis Vuik

Last couple of decades have been the golden age for cosmology. High quality data confirmed the broad paradigm of standard cosmology but have thrusted upon us a preposterous composition for the universe which defies any simple explanation,…

广义相对论与量子宇宙学 · 物理学 2016-11-23 T. Padmanabhan

The present rate of the expansion of our Universe, the Hubble constant, can be predicted from the cosmological model using measurements of the early Universe, or more directly measured from the late Universe. But as these measurements…

宇宙学与河外天体物理 · 物理学 2020-01-14 Adam G. Riess

We investigate quintessence cosmologies with a matter component consisting of particles with an increasing mass. While negligible in early cosmology, the appearance of a growing matter component has stopped the evolution of the cosmon field…

天体物理学 · 物理学 2008-11-26 Luca Amendola , Marco Baldi , Christof Wetterich