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Wideband analog signals push contemporary analog-to-digital conversion systems to their performance limits. In many applications, however, sampling at the Nyquist rate is inefficient because the signals of interest contain only a small…

Information Theory · Computer Science 2016-11-15 Joel A. Tropp , Jason N. Laska , Marco F. Duarte , Justin K. Romberg , Richard G. Baraniuk

Accurate time series analysis is essential for studying variable astronomical sources, where detecting periodicities and characterizing power spectral density (PSD) are crucial. The Lomb-Scargle periodogram, commonly used in astronomy for…

Instrumentation and Methods for Astrophysics · Physics 2024-11-06 Ezequiel Albentosa-Ruiz , Nicola Marchili

Astrophysical and cosmological observations currently provide the only robust, empirical measurements of dark matter. Future observations with Large Synoptic Survey Telescope (LSST) will provide necessary guidance for the experimental dark…

Cosmology and Nongalactic Astrophysics · Physics 2019-04-25 Alex Drlica-Wagner , Yao-Yuan Mao , Susmita Adhikari , Robert Armstrong , Arka Banerjee , Nilanjan Banik , Keith Bechtol , Simeon Bird , Kimberly K. Boddy , Ana Bonaca , Jo Bovy , Matthew R. Buckley , Esra Bulbul , Chihway Chang , George Chapline , Johann Cohen-Tanugi , Alessandro Cuoco , Francis-Yan Cyr-Racine , William A. Dawson , Ana Díaz Rivero , Cora Dvorkin , Denis Erkal , Christopher D. Fassnacht , Juan García-Bellido , Maurizio Giannotti , Vera Gluscevic , Nathan Golovich , David Hendel , Yashar D. Hezaveh , Shunsaku Horiuchi , M. James Jee , Manoj Kaplinghat , Charles R. Keeton , Sergey E. Koposov , Casey Y. Lam , Ting S. Li , Jessica R. Lu , Rachel Mandelbaum , Samuel D. McDermott , Mitch McNanna , Michael Medford , Manuel Meyer , Moniez Marc , Simona Murgia , Ethan O. Nadler , Lina Necib , Eric Nuss , Andrew B. Pace , Annika H. G. Peter , Daniel A. Polin , Chanda Prescod-Weinstein , Justin I. Read , Rogerio Rosenfeld , Nora Shipp , Joshua D. Simon , Tracy R. Slatyer , Oscar Straniero , Louis E. Strigari , Erik Tollerud , J. Anthony Tyson , Mei-Yu Wang , Risa H. Wechsler , David Wittman , Hai-Bo Yu , Gabrijela Zaharijas , Yacine Ali-Haïmoud , James Annis , Simon Birrer , Rahul Biswas , Jonathan Blazek , Alyson M. Brooks , Elizabeth Buckley-Geer , Regina Caputo , Eric Charles , Seth Digel , Scott Dodelson , Brenna Flaugher , Joshua Frieman , Eric Gawiser , Andrew P. Hearin , Renee Hložek , Bhuvnesh Jain , Tesla E. Jeltema , Savvas M. Koushiappas , Mariangela Lisanti , Marilena LoVerde , Siddharth Mishra-Sharma , Jeffrey A. Newman , Brian Nord , Erfan Nourbakhsh , Steven Ritz , Brant E. Robertson , Miguel A. Sánchez-Conde , Anže Slosar , Tim M. P. Tait , Aprajita Verma , Ricardo Vilalta , Christopher W. Walter , Brian Yanny , Andrew R. Zentner

The correlation between the plasma density measured in space and the surface potential of an electrically conducting satellite body with biased electric field detectors has been recognized and used to provide density proxies. However, for…

Space Physics · Physics 2022-03-09 Forrest Mozer , Stuart Bale , Paul Kellogg , Davin Larson , Roberto Levi , Orlando Romeo

Clever sampling methods can be used to improve the handling of big data and increase its usefulness. The subject of this study is remote sensing, specifically airborne laser scanning point clouds representing different classes of ground…

Machine Learning · Statistics 2014-09-17 Ronald Hochreiter , Christoph Waldhauser

A common problem in the sciences is that a signal of interest is observed only indirectly, through smooth functionals of the signal whose values are then obscured by noise. In such inverse problems, the functionals dampen or entirely…

Methodology · Statistics 2012-07-04 Darren Homrighausen , Christopher R. Genovese

The Einstein Telescope faces a critical data analysis challenge with correlated noise, often overlooked in current parameter estimation analyses. We address this issue by presenting the statistical formulation of the likelihood that…

General Relativity and Quantum Cosmology · Physics 2025-09-03 Francesco Cireddu , Milan Wils , Isaac C. F. Wong , Peter T. H. Pang , Tjonnie G. F. Li , Walter Del Pozzo

I discuss the effects of measurement error on regression and density estimation. I review the statistical methods that have been developed to correct for measurement error that are most popular in astronomical data analysis, discussing…

Instrumentation and Methods for Astrophysics · Physics 2011-12-09 Brandon C. Kelly

An encoder wishes to minimize the bit rate necessary to guarantee that a decoder is able to calculate a symbol-wise function of a sequence available only at the encoder and a sequence that can be measured only at the decoder. This classical…

Information Theory · Computer Science 2012-04-17 Behzad Ahmadi , Osvaldo Simeone

During recent years, bibliometric studies have become increasingly important in evaluating individual scientists, institutes, and entire observatories. In astronomy, often librarians are involved in maintaining publication databases and…

Instrumentation and Methods for Astrophysics · Physics 2016-01-27 Uta Grothkopf , Jill Lagerstrom

Spectral efficiency for asynchronous code division multiple access (CDMA) with random spreading is calculated in the large system limit allowing for arbitrary chip waveforms and frequency-flat fading. Signal to interference and noise ratios…

Information Theory · Computer Science 2010-07-13 Laura Cottatellucci , Ralf R. Mueller , Merouane Debbah

I discuss and illustrate the development of large-scale structure in the Universe, emphasising in particular the physical processes and cosmological parameters that most influence the observationally accessible aspects of structure at large…

Astrophysics · Physics 2007-05-23 Simon D. M. White

In the distant past, telescopes were known, first and foremost, for the sizes of their apertures. Advances in technology are now enabling astronomers to build extremely powerful instruments to the extent that instruments have now achieved…

Instrumentation and Methods for Astrophysics · Physics 2016-06-29 S. R. Kulkarni

Near-future astronomical survey experiments, such as LSST, possess system requirements of unprecedented fidelity that span photometry, astrometry and shape transfer. Some of these requirements flow directly to the array of science imaging…

We investigate the possibility of measuring the Hubble constant, the fractional energy density components and the equation of state parameter of the ``dark energy'' using lensed multiple images of high-redshift supernovae. With future…

Astrophysics · Physics 2009-11-07 A. Goobar , E. Mortsell , R. Amanullah , P. Nugent

A new, general formalism to include experimental data in revised stellar rates is discussed, containing revised uncertainties. Application to the s-process shows that the actual uncertainties in the neutron capture rates can be larger than…

Solar and Stellar Astrophysics · Physics 2016-01-08 T. Rauscher

Large time-domain surveys, when of sufficient scale, provide a greatly increased probability of detecting rare and, in many cases, unexpected events. Indeed, it is these unpredicted and previously unobserved objects that can lead to some of…

Popular Physics · Physics 2017-03-31 Michael B. Lund

In order to evaluate the ground-based infrared telescope sensitivity affected by the noise from the atmosphere, instruments and detectors, we construct a sensitivity model that can calculate limiting magnitudes and signal-to-noise ratio…

Instrumentation and Methods for Astrophysics · Physics 2021-06-02 Zhijun Zhao , Haijing Zhou , Yuchen Zhang , Yun Ling , Fangyu Xu

In this article, we address the issues that come up in the design of importance sampling schemes for rare events associated to stochastic dynamical systems. We focus on the issue of metastability and on the effect of multiple scales. We…

Probability · Mathematics 2017-07-28 Konstantinos Spiliopoulos

In this paper we develop the large deviations principle and a rigorous mathematical framework for asymptotically efficient importance sampling schemes for general, fully dependent systems of stochastic differential equations of slow and…

Probability · Mathematics 2013-01-29 Konstantinos Spiliopoulos
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