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Related papers: How to search for multiple messengers -- a general…

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We introduce a search problem called ``mutual search'' where $k$ \agents, arbitrarily distributed over $n$ sites, are required to locate one another by posing queries of the form ``Anybody at site $i$?''. We ask for the least number of…

Data Structures and Algorithms · Computer Science 2007-05-23 Harry Buhrman , Matthew Franklin , Juan A. Garay , Jaap-Henk Hoepman , John Tromp , Paul Vitanyi

Gravitational lensing is a powerful probe of cosmology and astrophysics. With the prospect of the first strongly lensed gravitational waves on the horizon, we highlight an opportunity to test fundamental physics. In this work, we assume a…

General Relativity and Quantum Cosmology · Physics 2026-02-03 Elena Colangeli , Charles Dalang , Tessa Baker

Multi-messenger astrophysics, a long-anticipated extension to traditional and multiwavelength astronomy, has recently emerged as a distinct discipline providing unique and valuable insights into the properties and processes of the physical…

High Energy Astrophysical Phenomena · Physics 2019-10-09 Péter Mészáros , Derek B. Fox , Chad Hanna , Kohta Murase

The ideal Bayesian agent reasons from a global probability model, but real agents are restricted to simplified models which they know to be adequate only in restricted circumstances. Very little formal theory has been developed to help…

Artificial Intelligence · Computer Science 2013-03-25 Kathryn Blackmond Laskey

This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. All modeling assumptions are rigorously explained, and all model parameters have a physical interpretation. This…

Artificial Intelligence · Computer Science 2014-01-16 Tinne De Laet , Joris De Schutter , Herman Bruyninckx

Spatial search problems abound in the real world, from locating hidden nuclear or chemical sources to finding skiers after an avalanche. We exemplify the formalism and solution for spatial searches involving two agents that may or may not…

Information Theory · Computer Science 2011-03-28 Vadas Gintautas , Aric Hagberg , Luis M. A. Bettencourt

This brief review is based on a lecture given by one of the authors at the international youth conference AYSS-2023. It is devoted to multimessenger astronomy, which studies astrophysical objects and phenomena using various particles and…

High Energy Astrophysical Phenomena · Physics 2024-09-19 V. Rozhkov , S. Troitsky

Over the past decade advancements in the understanding of several astrophysical phenomena have allowed us to infer a concordance cosmological model that successfully accounts for most of the observations of our universe. This has opened up…

Cosmology and Nongalactic Astrophysics · Physics 2011-12-13 Irène Balmès , Pier-Stefano Corasaniti

Strong gravitational lenses are unique cosmological probes. These produce multiple images of a single source. Whether a single galaxy, a group or a cluster, extracting cosmologically relevant information requires an accurate modeling of the…

Cosmology and Nongalactic Astrophysics · Physics 2011-12-13 Irène Balmès

Multi-messenger astronomy provides for the observation of the same astronomical event with different kind of telescopes at the same time: optical observations, X-rays, gamma-ray bursts, neutrinos and, most recently, gravitational waves are…

High Energy Astrophysical Phenomena · Physics 2022-09-05 Martina Adamo , Silvia Pietroni , Maurizio Spurio

We investigate the potential of high-energy astrophysical events, from which both massless and massive signals are detected, to probe fundamental physics. In particular, we consider how strong gravitational lensing can induce time delays in…

Cosmology and Nongalactic Astrophysics · Physics 2017-05-31 Tessa Baker , Mark Trodden

Many approaches for optimizing decision making models rely on gradient based methods requiring informative feedback from the environment. However, in the case where such feedback is sparse or uninformative, such approaches may result in…

Machine Learning · Computer Science 2024-11-12 Mohit Rajpal , Lac Gia Tran , Yehong Zhang , Bryan Kian Hsiang Low

We review some of the common methods for model selection: the goodness of fit, the likelihood ratio test, Bayesian model selection using Bayes factors, and the classical as well as the Bayesian information theoretic approaches. We…

Cosmology and Nongalactic Astrophysics · Physics 2019-07-02 Martin Kerscher , Jochen Weller

Electromagnetic observations of the sky have been the basis for our study of the Universe for millennia, cosmic ray studies are now entering their second century, the first neutrinos from an astrophysical source were identified three…

Based on fundamental particle physics processes like the production and subsequent decay of pions in interactions of high-energy particles, close connections exist between the acceleration sites of high-energy cosmic rays and the emission…

High Energy Astrophysical Phenomena · Physics 2019-08-14 F. Schüssler , A. Balzer , F. Brun , P. Brun , W. Domainko , M. Fuessling , C. Hoischen , G. Pühlhofer , A. Reimer , G. Rowell

Ultra Fast Astronomy is a new frontier becoming enabled by improved detector technology allowing discovery of optical transients on millisecond to nanosecond time scales. These may reveal counterparts of energetic processes such as fast…

Instrumentation and Methods for Astrophysics · Physics 2021-11-08 Mikhail Denissenya , Eric V. Linder

Thus far the LHC experiments have yet to discover beyond-the-standard-model physics. This motivates efforts to search for new physics in model independent ways. In this spirit, we describe procedures for using a variant of the Matrix…

High Energy Physics - Phenomenology · Physics 2014-08-29 Dipsikha Debnath , James S. Gainer , Konstantin T. Matchev

The recent discoveries of high-energy astrophysical neutrinos and gravitational waves have opened new windows of exploration to the Universe. Combining neutrino observations with measurements of electromagnetic radiation and cosmic rays…

High Energy Astrophysical Phenomena · Physics 2019-02-26 Marcos Santander

A new empirical Bayes approach to variable selection in the context of generalized linear models is developed. The proposed algorithm scales to situations in which the number of putative explanatory variables is very large, possibly much…

Methodology · Statistics 2021-06-29 Haim Bar , James Booth , Martin T. Wells

This is a personal review of various issues related to massive photometric and astrometric searches. A complete inventory of variable stars down to almost any magnitude limit will improve our understanding of the stellar evolution and the…

Astrophysics · Physics 2007-05-23 Bohdan Paczynski