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The total luminosity and spectral shape of the non-thermal emission produced by cosmic rays depends on their interstellar environment, a dependence that gives rise to correlations between galaxies' bulk properties -- star formation rate,…

High Energy Astrophysical Phenomena · Physics 2023-05-31 Matt A. Roth , Mark R. Krumholz , Roland M. Crocker , Todd A. Thompson

We use the CORSIKA air shower simulation program to review the method for assigning energies to ultra-high energy (UHE) cosmic rays viewed with the air fluorescence technique. This technique uses the atmosphere as a calorimeter, and we…

Astrophysics · Physics 2008-11-26 C. Song , Z. Cao , B. R. Dawson , B. E. Fick , P. Sokolsky , X. Zhang

As the era of high precision cosmology approaches, the empirically determined power spectrum of the microwave background anisotropy, $C_l$, will provide a crucial test for cosmological theories. We present a unified semi-analytic framework…

Astrophysics · Physics 2009-10-30 Benjamin D. Wandelt , Eric Hivon , Krzysztof M. Gorski

We present a minimally parametric, model independent reconstruction of the shape of the primordial power spectrum. Our smoothing spline technique is well-suited to search for smooth features such as deviations from scale invariance, and…

Cosmology and Nongalactic Astrophysics · Physics 2016-08-24 Andrea Ravenni , Licia Verde , Antonio J. Cuesta

X-ray spectroscopy is a powerful technique for the analysis of the energy distribution of X-rays from astrophysical sources. It allows for the study of the properties, composition, and physical processes taking place at the site of…

High Energy Astrophysical Phenomena · Physics 2023-09-22 L. Ducci , C. Malacaria

Telescope Array (TA) is the largest experiment in the Northern Hemisphere studying ultrahigh energy cosmic rays. TA measurements of the cosmic ray spectrum using the surface detector have the best statistical power in the experiment, and…

High Energy Astrophysical Phenomena · Physics 2021-11-12 R. U. Abbasi , T. Abu-Zayyad , M. Allen , Y. Arai , R. Arimura , E. Barcikowski , J. W. Belz , D. R. Bergman , S. A. Blake , I. Buckland , R. Cady , B. G. Cheon , J. Chiba , M. Chikawa , T. Fujii , K. Fujisue , K. Fujita , R. Fujiwara , M. Fukushima , R. Fukushima , G. Furlich , N. Globus , R. Gonzalez , W. Hanlon , M. Hayashi , N. Hayashida , K. Hibino , R. Higuchi , K. Honda , D. Ikeda , T. Inadomi , N. Inoue , T. Ishii , H. Ito , D. Ivanov , H. Iwakura , A. Iwasaki , H. M. Jeong , S. Jeong , C. C. H. Jui , K. Kadota , F. Kakimoto , O. Kalashev , K. Kasahara , S. Kasami , H. Kawai , S. Kawakami , S. Kawana , K. Kawata , I. Kharuk , E. Kido , H. B. Kim , J. H. Kim , J. H. Kim , M. H. Kim , S. W. Kim , Y. Kimura , S. Kishigami , Y. Kubota , S. Kurisu , V. Kuzmin , M. Kuznetsov , Y. J. Kwon , K. H. Lee , B. Lubsandorzhiev , J. P. Lundquist , K. Machida , H. Matsumiya , T. Matsuyama , J. N. Matthews , R. Mayta , M. Minamino , K. Mukai , I. Myers , S. Nagataki , K. Nakai , R. Nakamura , T. Nakamura , T. Nakamura , Y. Nakamura , A. Nakazawa , E. Nishio , T. Nonaka , H. Oda , S. Ogio , M. Ohnishi , H. Ohoka , Y. Oku , T. Okuda , Y. Omura , M. Ono , R. Onogi , A. Oshima , S. Ozawa , I. H. Park , M. Potts , M. S. Pshirkov , J. Remington , D. C. Rodriguez , G. I. Rubtsov , D. Ryu , H. Sagawa , R. Sahara , Y. Saito , N. Sakaki , T. Sako , N. Sakurai , K. Sano , K. Sato , T. Seki , K. Sekino , P. D. Shah , Y. Shibasaki , F. Shibata , N. Shibata , T. Shibata , H. Shimodaira , B. K. Shin , H. S. Shin , D. Shinto , J. D. Smith , P. Sokolsky , N. Sone , B. T. Stokes , T. A. Stroman , Y. Takagi , Y. Takahashi , M. Takamura , M. Takeda , R. Takeishi , A. Taketa , M. Takita , Y. Tameda , H. Tanaka , K. Tanaka , M. Tanaka , Y. Tanoue , S. B. Thomas , G. B. Thomson , P. Tinyakov , I. Tkachev , H. Tokuno , T. Tomida , S. Troitsky , R. Tsuda , Y. Tsunesada , Y. Uchihori , S. Udo , T. Uehama , F. Urban , T. Wong , M. Yamamoto , K. Yamazaki , J. Yang , K. Yashiro , F. Yoshida , Y. Yoshioka , Y. Zhezher , Z. Zundel

Future weak lensing surveys will directly probe the clustering of dark matter, in addition to providing a test for various cosmological models. Recent studies have provided us with the tools which can be used to construct the complete…

Astrophysics · Physics 2009-11-07 Dipak Munshi , Yun Wang

We re-examine the effects of redshift space distortion in all-sky galaxy redshift surveys in the formalism of spherical harmonics. Within this framework we show how one can treat both the large-scale linear effects, and the small-scale…

Astrophysics · Physics 2015-06-24 A. F. Heavens , A. N. Taylor

It is well known that the power spectrum is not able to fully characterize the statistical properties of non-Gaussian density fields. Recently, many different statistics have been proposed to extract information from non-Gaussian…

Cosmology and Nongalactic Astrophysics · Physics 2023-04-11 Core Francisco Park , Erwan Allys , Francisco Villaescusa-Navarro , Douglas P. Finkbeiner

Non-gaussianity represents the statistical signature of physical processes such as turbulence. It can also be used as a powerful tool to discriminate between competing cosmological scenarios. A canonical analysis of non-gaussianity is based…

Astrophysics · Physics 2009-10-31 O. Forni , N. Aghanim

Recent results from the Pierre Auger Observatory are presented, focusing on a measurement of the cosmic-ray energy spectrum above 10^18 eV, cosmic-ray composition, and the anisotropy in the cosmic ray arrival directions. The flux of cosmic…

High Energy Astrophysical Phenomena · Physics 2019-08-13 Darko Veberic

Power spectrum estimation is an important tool in many applications, such as the whitening of noise. The popular multitaper method enjoys significant success, but fails for short signals with few samples. We propose a statistical model…

Statistics Theory · Mathematics 2018-12-10 Joakim Andén , Amit Singer

Recent results from the KASCADE experiment on measurements of cosmic rays in the energy range of the knee are presented. Emphasis is placed on energy spectra of individual mass groups as obtained from an two-dimensional unfolding applied to…

Astrophysics · Physics 2019-08-14 K. -H. Kampert

The abundance of peaks in weak gravitational lensing maps is a potentially powerful cosmological tool, complementary to measurements of the shear power spectrum. We study peaks detected directly in shear maps, rather than convergence maps,…

Cosmology and Nongalactic Astrophysics · Physics 2015-09-16 Nicolas Martinet , James G. Bartlett , Alina Kiessling , Barbara Sartoris

We develop two methods for estimating the power spectrum, C_l, of the cosmic microwave background (CMB) from data and apply them to the COBE/DMR and Saskatoon datasets. One method involves a direct evaluation of the likelihood function, and…

Astrophysics · Physics 2009-10-30 J. R. Bond , A. H. Jaffe , L. Knox

Beyond the linear regime, Fourier modes of cosmological random fields become correlated, and the power spectrum of density fluctuations contains only a fraction of the available cosmological information. To unveil this formerly hidden…

Cosmology and Nongalactic Astrophysics · Physics 2014-11-25 M. Wolk , J. Carron , I. Szapudi

In cosmic-ray physics, large field of view experiments are triggered by a number of signals laying on different angular scales: point-like and extended gamma-ray sources, diffuse emissions, as well as large and intermediate scale cosmic-ray…

High Energy Astrophysical Phenomena · Physics 2011-12-02 Roberto Iuppa

Spectral analysis is a powerful tool to investigate stellar properties and it has been widely used for decades now. However, the methods considered to perform this kind of analysis are mostly based on iteration among a few diagnostic lines…

Instrumentation and Methods for Astrophysics · Physics 2015-09-30 J-M. Mugnes , C. Robert

The study of Galactic diffuse $\gamma$ radiation combined with the knowledge of the distribution of the molecular hydrogen in the Galaxy offers a unique tool to probe the cosmic ray flux in the Galaxy. A methodology to study the level of…

Astrophysics · Physics 2009-11-13 S. Casanova , S. Gabici , F. A. Aharonian , K. Torii , Y. Fukui , T. Onishi , H. Yamamoto , A. Kawamura

Handling big data has largely been a major bottleneck in traditional statistical models. Consequently, when accurate point prediction is the primary target, machine learning models are often preferred over their statistical counterparts for…

Methodology · Statistics 2021-04-02 Arindam Fadikar , Stefan M. Wild , Jonas Chaves-Montero
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