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Third-party libraries are a central building block to develop software systems. However, outdated third-party libraries are commonly used, and developers are usually less aware of the potential risks. Therefore, a quantitative and holistic…

Software Engineering · Computer Science 2020-02-26 Ying Wang , Bihuan Chen , Kaifeng Huang , Bowen Shi , Congying Xu , Xin Peng , Yang Liu , Yijian Wu

Stochastic Programming is a framework for modelling and solving problems of decision making under uncertainty. Stochastic Dynamic Programming is a branch of Stochastic Programming that takes a "functional equation" approach to the discovery…

Artificial Intelligence · Computer Science 2023-09-12 Roberto Rossi

PRAIA - Package for the Reduction of Astronomical Images Automatically - is a suite of astrometric and photometric tasks designed to cope with huge amounts of heterogeneous observations with fast processing, no human intervention, minimum…

Instrumentation and Methods for Astrophysics · Physics 2023-10-31 M. Assafin

Timeseria is an object-oriented time series processing library implemented in Python, which aims at making it easier to manipulate time series data and to build statistical and machine learning models on top of it. Unlike common data…

Machine Learning · Computer Science 2024-12-31 Stefano Alberto Russo , Giuliano Taffoni , Luca Bortolussi

As astronomical data grows in volume and complexity, the scalability of analysis software becomes increasingly important. At the same time, astrophysics analysis software relies heavily on open-source contributions, so languages and tools…

Instrumentation and Methods for Astrophysics · Physics 2024-02-01 Edward Berman , Jacqueline McCleary

Kepler is a NASA mission designed to detect exoplanets and characterize the properties of exoplanetary systems. Kepler also includes an asteroseismic programme which is being conducted through the Kepler Asteroseismic Science Consortium…

Solar and Stellar Astrophysics · Physics 2015-05-19 H. Kjeldsen , J. Christensen-Dalsgaard , R. Handberg , T. M. Brown , R. L. Gilliland , W. J. Borucki , D. Koch

Upcoming large scale telescope projects such as the Square Kilometre Array (SKA) will see high data rates and large data volumes; requiring tools that can analyse telescope event data quickly and accurately. In modern radio telescopes,…

Instrumentation and Methods for Astrophysics · Physics 2020-01-17 Cees Carels , Karel Adámek , Jan Novotný , Wesley Armour

We are on the verge of a revolutionary era in space exploration, thanks to advancements in telescopes such as the James Webb Space Telescope (\textit{JWST}). High-resolution, high signal-to-noise spectra from exoplanet and brown dwarf…

Instrumentation and Methods for Astrophysics · Physics 2024-07-25 Ehsan , Gharib-Nezhad , Natasha E. Batalha , Hamed Valizadegan , Miguel J. S. Martinho , Mahdi Habibi , Gopal Nookula

With the application of advanced astronomical technologies, equipments and methods all over the world, astronomy covers from radio, infrared, visible light, ultraviolet, X-ray and gamma ray band, and enters into the era of full wavelength…

Instrumentation and Methods for Astrophysics · Physics 2016-11-09 Bo Han , Yanxia Zhang , Shoubo Zhong , Yongheng Zhao

Benchmarks are essential in the design of modern HPC installations, as they define key aspects of system components. Beyond synthetic workloads, it is crucial to include real applications that represent user requirements into benchmark…

Astronomy and astrophysics are witnessing dramatic increases in data volume as detectors, telescopes and computers become ever more powerful. During the last decade, sky surveys across the electromagnetic spectrum have collected hundreds of…

Instrumentation and Methods for Astrophysics · Physics 2014-11-20 Jacob T. VanderPlas , Andrew J. Connolly , Zeljko Ivezic , Alex Gray

In upper-division undergraduate physics courses, it is desirable to give numerical problem-solving exercises integrated naturally into weekly problem sets. I explain a method for doing this that makes use of the built-in class structure of…

Physics Education · Physics 2009-09-29 Michael E. Peskin

Credal networks are a popular class of imprecise probabilistic graphical models obtained as a Bayesian network generalization based on, so-called credal, sets of probability mass functions. A Java library called CREMA has been recently…

Artificial Intelligence · Computer Science 2021-05-11 Rafael Cabañas , Alessandro Antonucci

The stellar evolution code YREC is outlined with emphasis on its applications to helio- and asteroseismology. The procedure for calculating calibrated solar and stellar models is described. Other features of the code such as a non-local…

Astrophysics · Physics 2008-11-26 P. Demarque , D. B. Guenther , L. H. Li , A. Mazumdar , C. W. Straka

The Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) will soon start to scan thousands of square degrees of the northern extragalactic sky with a unique set of $56$ optical filters from a dedicated $2.55$m…

Cosmology and Nongalactic Astrophysics · Physics 2021-09-08 S. Bonoli , A. Marín-Franch , J. Varela , H. Vázquez Ramió , L. R. Abramo , A. J. Cenarro , R. A. Dupke , J. M. Vílchez , D. Cristóbal-Hornillos , R. M. González Delgado , C. Hernández-Monteagudo , C. López-Sanjuan , D. J. Muniesa , T. Civera , A. Ederoclite , A. Hernán-Caballero , V. Marra , P. O. Baqui , A. Cortesi , E. S. Cypriano , S. Daflon , A. L. de Amorim , L. A. Díaz-García , J. M. Diego , G. Martínez-Solaeche , E. Pérez , V. M. Placco , F. Prada , C. Queiroz , J. Alcaniz , A. Alvarez-Candal , J. Cepa , A. L. Maroto , F. Roig , B. B. Siffert , K. Taylor , N. Benitez , M. Moles , L. Sodré , S. Carneiro , C. Mendes de Oliveira , E. Abdalla , R. E. Angulo , M. Aparicio Resco , A. Balaguera-Antolínez , F. J. Ballesteros , D. Brito-Silva , T. Broadhurst , E. R. Carrasco , T. Castro , R. Cid Fernandes , P. Coelho , R. B. de Melo , L. Doubrawa , A. Fernandez-Soto , F. Ferrari , A. Finoguenov , R. García-Benito , J. Iglesias-Páramo , Y. Jiménez-Teja , F. S. Kitaura , J. Laur , P. A. A. Lopes , G. Lucatelli , V. J. Martínez , M. Maturi , M. Quartin , C. Pigozzo , J. E. Rodrìguez-Martìn , V. Salzano , A. Tamm , E. Tempel , K. Umetsu , L. Valdivielso , R. von Marttens , A. Zitrin , M. C. Díaz-Martín , G. López-Alegre , A. López-Sainz , A. Yanes-Díaz , F. Rueda-Teruel , S. Rueda-Teruel , J. Abril Ibañez , J. L Antón Bravo , R. Bello Ferrer , S. Bielsa , J. M. Casino , J. Castillo , S. Chueca , L. Cuesta , J. Garzarán Calderaro , R. Iglesias-Marzoa , C. Íniguez , J. L. Lamadrid Gutierrez , F. Lopez-Martinez , D. Lozano-Pérez , N. Maícas Sacristán , E. L. Molina-Ibáñez , A. Moreno-Signes , S. Rodríguez Llano , M. Royo Navarro , V. Tilve Rua , U. Andrade , E. J. Alfaro , S. Akras , P. Arnalte-Mur , B. Ascaso , C. E. Barbosa , J. Beltrán Jiménez , M. Benetti , C. A. P. Bengaly , A. Bernui , J. J. Blanco-Pillado , M. Borges Fernandes , J. N. Bregman , G. Bruzual , G. Calderone , J. M. Carvano , L. Casarini , A. L Chies-Santos , G. Coutinho de Carvalho , P. Dimauro , S. Duarte Puertas , D. Figueruelo , J. I. González-Serrano , M. A. Guerrero , S. Gurung-López , D. Herranz , M. Huertas-Company , J. A. Irwin , D. Izquierdo-Villalba , A. Kanaan , C. Kehrig , C. C. Kirkpatrick , J. Lim , A. R. Lopes , R. Lopes de Oliveira , A. Marcos-Caballero , D. Martínez-Delgado , E. Martínez-González , G. Martínez-Somonte , N. Oliveira , A. A. Orsi , R. A. Overzier , M. Penna-Lima , R. R. R. Reis , D. Spinoso , S. Tsujikawa , P. Vielva , A. Z. Vitorelli , J. Q. Xia , H. B. Yuan , A. Arroyo-Polonio , M. L. L. Dantas , C. A. Galarza , D. R. Gonçalves , R. S. Gonçalves , J. E. Gonzalez , A. H. Gonzalez , N. Greisel , R. G. Landim , D. Lazzaro , G. Magris , R. Monteiro-Oliveira , C. B. Pereira , M. J. Rebouças , J. M. Rodriguez-Espinosa , S. Santos da Costa , E. Telles

Celeste is a procedure for inferring astronomical catalogs that attains state-of-the-art scientific results. To date, Celeste has been scaled to at most hundreds of megabytes of astronomical images: Bayesian posterior inference is…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-11 Jeffrey Regier , Kiran Pamnany , Ryan Giordano , Rollin Thomas , David Schlegel , Jon McAuliffe , Prabhat

PARMESAN (the Python Atmospheric Research Package for MEteorological TimeSeries and Turbulence ANalysis) is a Python package providing common functionality for atmospheric scientists doing time series or turbulence analysis. Several…

ESASky is a science-driven discovery portal to explore the multi-wavelength sky and visualise and access multiple astronomical archive holdings. The tool is a web application that requires no prior knowledge of any of the missions involved…

In this paper we describe the main features of the software package named FITSH, intended to provide a standalone environment for analysis of data acquired by imaging astronomical detectors. The package provides utilities both for the full…

Instrumentation and Methods for Astrophysics · Physics 2015-06-03 András Pál

Japan Astrometry Satellite Mission for INfrared Exploration (JASMINE) is a planned M-class science space mission by the Institute of Space and Astronautical Science, the Japan Aerospace Exploration Agency. JASMINE has two main science…

Instrumentation and Methods for Astrophysics · Physics 2024-03-06 Daisuke Kawata , Hajime Kawahara , Naoteru Gouda , Nathan J. Secrest , Ryouhei Kano , Hirokazu Kataza , Naoki Isobe , Ryou Ohsawa , Fumihiko Usui , Yoshiyuki Yamada , Alister W. Graham , Alex R. Pettitt , Hideki Asada , Junichi Baba , Kenji Bekki , Bryan N. Dorland , Michiko Fujii , Akihiko Fukui , Kohei Hattori , Teruyuki Hirano , Takafumi Kamizuka , Shingo Kashima , Norita Kawanaka , Yui Kawashima , Sergei A. Klioner , Takanori Kodama , Naoki Koshimoto , Takayuki Kotani , Masayuki Kuzuhara , Stephen E. Levine , Steven R. Majewski , Kento Masuda , Noriyuki Matsunaga , Kohei Miyakawa , Makoko Miyoshi , Kumiko Morihana , Ryoichi Nishi , Yuta Notsu , Masashi Omiya , Jason Sanders , Ataru Tanikawa , Masahiro Tsujimoto , Taihei Yano , Masataka Aizawa , Ko Arimatsu , Michael Biermann , Celine Boehm , Masashi Chiba , Victor P. Debattista , Ortwin Gerhard , Masayuki Hirabayashi , David Hobbs , Bungo Ikenoue , Hideyuki Izumiura , Carme Jordi , Naoki Kohara , Wolfgang Löffler , Xavier Luri , Ichiro Mase , Andrea Miglio , Kazuhisa Mitsuda , Trent Newswander , Shogo Nishiyama , Yoshiyuki Obuchi , Takafumi Ootsubo , Masami Ouchi , Masanobu Ozaki , Michael Perryman , Timo Prusti , Pau Ramos , Justin I. Read , R. Michael Rich , Ralph Schönrich , Minori Shikauchi , Risa Shimizu , Yoshinori Suematsu , Shotaro Tada , Aoi Takahashi , Takayuki Tatekawa , Daisuke Tatsumi , Takuji Tsujimoto , Toshihiro Tsuzuki , Seitaro Urakawa , Fumihiro Uraguchi , Shin Utsunomiya , Vincent Van Eylen , Floor van Leeuwen , Takehiko Wada , Nicholas A. Walton