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Related papers: The SVOM / ECLAIRs Scientific Analysis Pipeline

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ECLAIR is a Prolog-based prototype system aiming to provide a functionally complete environment for the study, development and evaluation of programming language analysis and implementation tools. In this paper, we sketch the overall…

Programming Languages · Computer Science 2007-11-06 Roberto Bagnara , Patricia Hill , Enea Zaffanella

A reliable and user-friendly characterisation of nano-objects in a target material is presented here in the form of a software data analysis package for interpreting small-angle X-ray scattering (SAXS) patterns. When provided with data on…

Data Analysis, Statistics and Probability · Physics 2014-12-08 Ingo Breßler , Brian R. Pauw , Andreas Thünemann

Scientific visualization (SciVis) has become an essential means for exploring, understanding, and communicating complex scientific phenomena. However, the field still lacks a validated instrument assessing how well people read, understand,…

Human-Computer Interaction · Computer Science 2026-03-23 Patrick Phuoc Do , Kaiyuan Tang , Kuangshi Ai , Chaoli Wang

We describe the data flow in the operation of the VEGA/CHARA instrument. After a brief summary of the main characteristics and scientific objectives of the VEGA instrument, we explain the standard procedure from the scientific idea up to…

Instrumentation and Methods for Astrophysics · Physics 2018-10-31 Roxanne Ligi , Denis Mourard , Nicolas Nardetto , Jean-Michel Clausse

In order to allow for an efficient and flexible scientific analysis of data from the SPI imaging spectrometer aboard INTEGRAL, I developed a set of analysis executables that are publicly available through the internet. The software is fully…

Astrophysics · Physics 2007-05-23 Jurgen Knodlseder

Machine learning (ML) models have shown success in applications with an objective of prediction, but the algorithmic complexity of some models makes them difficult to interpret. Methods have been proposed to provide insight into these…

Machine Learning · Computer Science 2025-02-13 Katherine Goode , J. Derek Tucker , Daniel Ries , Heike Hofmann

The availability of both structured and unstructured databases, such as electronic health data, social media data, patent data, and surveys that are often updated in real time, among others, has grown rapidly over the past decade. With this…

Databases · Computer Science 2023-07-26 Rebecca C. Steorts

In recent years, a wide variety of automated machine learning (AutoML) methods have been proposed to search and generate end-to-end learning pipelines. While these techniques facilitate the creation of models for real-world applications,…

Human-Computer Interaction · Computer Science 2020-09-07 Jorge Piazentin Ono , Sonia Castelo , Roque Lopez , Enrico Bertini , Juliana Freire , Claudio Silva

We describe the basic instrument detrending software for the NIRWALS spectrograph on the SALT telescope. Its basic purpose is to process multiple non-destructive reads of increasing exposure time into a final image reflecting the observed…

Instrumentation and Methods for Astrophysics · Physics 2025-03-05 Ralf Kotulla , Marsha Wolf , Matt Bershady

Context: Mining software repositories is a popular means to gain insights into a software project's evolution, monitor project health, support decisions and derive best practices. Tools supporting the mining process are commonly applied by…

Software Engineering · Computer Science 2025-11-13 Nicole Hoess , Carlos Paradis , Rick Kazman , Wolfgang Mauerer

Software Bill of Materials (SBOM) provides new opportunities for automated vulnerability identification in software products. While the industry is adopting SBOM-based Vulnerability Scanning (SVS) to identify vulnerabilities, we…

Software Engineering · Computer Science 2025-12-22 Martin Rosso , Muhammad Asad Jahangir Jaffar , Alessandro Brighente , Mauro Conti

The European Space Agency's Euclid mission is one of the upcoming generation of large-scale cosmology surveys, which will map the large-scale structure in the Universe with unprecedented precision. The development and validation of the SGS…

Cosmology and Nongalactic Astrophysics · Physics 2024-10-16 Euclid Collaboration , S. Serrano , P. Hudelot , G. Seidel , J. E. Pollack , E. Jullo , F. Torradeflot , D. Benielli , R. Fahed , T. Auphan , J. Carretero , H. Aussel , P. Casenove , F. J. Castander , J. E. Davies , N. Fourmanoit , S. Huot , A. Kara , E. Keihänen , S. Kermiche , K. Okumura , J. Zoubian , A. Ealet , A. Boucaud , H. Bretonnière , R. Casas , B. Clément , C. A. J. Duncan , K. George , K. Kiiveri , H. Kurki-Suonio , M. Kümmel , D. Laugier , G. Mainetti , J. J. Mohr , A. Montoro , C. Neissner , C. Rosset , M. Schirmer , P. Tallada-Crespí , N. Tonello , A. Venhola , A. Verderi , A. Zacchei , N. Aghanim , B. Altieri , A. Amara , S. Andreon , N. Auricchio , R. Azzollini , C. Baccigalupi , M. Baldi , S. Bardelli , A. Basset , P. Battaglia , F. Bernardeau , C. Bodendorf , D. Bonino , E. Branchini , M. Brescia , J. Brinchmann , S. Camera , G. P. Candini , V. Capobianco , C. Carbone , S. Casas , M. Castellano , G. Castignani , S. Cavuoti , A. Cimatti , R. Cledassou , C. Colodro-Conde , G. Congedo , C. J. Conselice , L. Conversi , Y. Copin , L. Corcione , F. Courbin , H. M. Courtois , M. Crocce , M. Cropper , A. Da Silva , H. Degaudenzi , G. De Lucia , A. M. Di Giorgio , J. Dinis , F. Dubath , X. Dupac , S. Dusini , M. Farina , S. Farrens , S. Ferriol , M. Frailis , E. Franceschi , P. Franzetti , S. Galeotta , B. Garilli , W. Gillard , B. Gillis , C. Giocoli , B. R. Granett , A. Grazian , F. Grupp , L. Guzzo , S. V. H. Haugan , J. Hoar , H. Hoekstra , W. Holmes , I. Hook , F. Hormuth , A. Hornstrup , K. Jahnke , B. Joachimi , A. Kiessling , T. Kitching , R. Kohley , M. Kunz , Q. Le Boulc'h , P. Liebing , S. Ligori , P. B. Lilje , V. Lindholm , I. Lloro , D. Maino , E. Maiorano , O. Mansutti , S. Marcin , O. Marggraf , K. Markovic , M. Martinelli , N. Martinet , F. Marulli , R. Massey , S. Maurogordato , E. Medinaceli , S. Mei , M. Melchior , Y. Mellier , M. Meneghetti , E. Merlin , G. Meylan , M. Moresco , P. Morris , L. Moscardini , E. Munari , R. Nakajima , S. -M. Niemi , T. Nutma , C. Padilla , S. Paltani , F. Pasian , K. Pedersen , W. J. Percival , V. Pettorino , S. Pires , G. Polenta , M. Poncet , L. A. Popa , L. Pozzetti , F. Raison , R. Rebolo , A. Renzi , J. Rhodes , G. Riccio , E. Romelli , M. Roncarelli , E. Rossetti , B. Rusholme , R. Saglia , Z. Sakr , A. G. Sánchez , D. Sapone , B. Sartoris , M. Sauvage , P. Schneider , T. Schrabback , M. Scodeggio , A. Secroun , C. Sirignano , G. Sirri , J. Skottfelt , L. Stanco , J. -L. Starck , J. Steinwagner , A. N Taylor , H. Teplitz , I. Tereno , R. Toledo-Moreo , I. Tutusaus , E. A. Valentijn , L. Valenziano , T. Vassallo , A. Veropalumbo , Y. Wang , J. Weller , G. Zamorani , E. Zucca , A. Biviano , E. Bozzo , D. Di Ferdinando , R. Farinelli , J. Graciá-Carpio , N. Mauri , V. Scottez , M. Tenti , Y. Akrami , V. Allevato , M. Ballardini , A. Blanchard , S. Borgani , A. S. Borlaff , S. Bruton , C. Burigana , A. Cappi , C. S. Carvalho , T. Castro , G. Cañas-Herrera , K. C. Chambers , A. R. Cooray , J. Coupon , S. Davini , S. de la Torre , S. Desai , G. Desprez , A. Díaz-Sánchez , S. Di Domizio , H. Dole , J. A. Escartin Vigo , S. Escoffier , I. Ferrero , F. Finelli , L. Gabarra , K. Ganga , J. Garcia-Bellido , E. Gaztanaga , F. Giacomini , G. Gozaliasl , A. Gregorio , H. Hildebrandt , M. Huertas-Company , O. Ilbert , A. Jimenez Muñoz , J. J. E. Kajava , V. Kansal , C. C. Kirkpatrick , L. Legrand , A. Loureiro , J. Macias-Perez , M. Magliocchetti , R. Maoli , C. J. A. P. Martins , S. Matthew , L. Maurin , R. B. Metcalf , M. Migliaccio , P. Monaco , G. Morgante , S. Nadathur , A. A. Nucita , M. Pöntinen , V. Popa , C. Porciani , D. Potter , P. Reimberg , A. Schneider , M. Sereno , A. Shulevski , P. Simon , A. Spurio Mancini , J. Stadel , M. Tewes , R. Teyssier , S. Toft , M. Tucci , J. Valiviita , M. Viel , I. A. Zinchenko

Successful data-driven science requires complex data engineering pipelines to clean, transform, and alter data in preparation for machine learning, and robust results can only be achieved when each step in the pipeline can be justified, and…

Databases · Computer Science 2024-04-08 Adriane Chapman , Luca Lauro , Paolo Missier , Riccardo Torlone

Research in ultrasound imaging is limited in reproducibility by two factors: First, many existing ultrasound pipelines are protected by intellectual property, rendering exchange of code difficult. Second, most pipelines are implemented in…

Computer Vision and Pattern Recognition · Computer Science 2018-05-11 Rüdiger Göbl , Nassir Navab , Christoph Hennersperger

We discuss the design and software implementation of a nuclear data evaluation pipeline applied for a fully reproducible evaluation of neutron-induced cross sections of $^{56}$Fe above the resolved resonance region using the nuclear model…

Data Analysis, Statistics and Probability · Physics 2021-05-07 Georg Schnabel , Henrik Sjöstrand , Joachim Hansson , Dimitri Rochman , Arjan Koning , Roberto Capote

The creation of systematic literature reviews (SLR) is critical for analyzing the landscape of a research field and guiding future research directions. However, retrieving and filtering the literature corpus for an SLR is highly…

Machine Learning · Computer Science 2026-02-18 Lucas Joos , Daniel A. Keim , Maximilian T. Fischer

We present the first public release of ShapePipe, an open-source and modular weak-lensing measurement, analysis, and validation pipeline written in Python. We describe the design of the software and justify the choices made. We provide a…

Instrumentation and Methods for Astrophysics · Physics 2022-08-24 S. Farrens , A. Guinot , M. Kilbinger , T. Liaudat , L. Baumont , X. Jimenez , A. Peel , A. Pujol , M. Schmitz , J. -L. Starck , A. Z. Vitorelli

Development of scientific and engineering software is usually different and could be more challenging than the development of conventional enterprise software. The authors were involved in a technology-transfer project between academia and…

Software Engineering · Computer Science 2020-03-03 Vahid Garousi , Ehsan Abbasi , Bedir Tekinerdogan

Cosmological shock waves are essential to understanding the formation of cosmological structures. To study them, scientists run computationally expensive high-resolution 3D hydrodynamic simulations. Interpreting the simulation results is…

Instrumentation and Methods for Astrophysics · Physics 2022-11-16 Max Lamparth , Ludwig Böss , Ulrich Steinwandel , Klaus Dolag

Sound data analysis is essential to retrieve meaningful biological information from single-cell proteomics experiments. This analysis is carried out by computational methods that are assembled into workflows, and their implementations…

Quantitative Methods · Quantitative Biology 2022-12-02 Christophe Vanderaa , Laurent Gatto