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Related papers: ASTRA: A Python Package for Cross-Instrument Stell…

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We present the pulsar_spectra software repository, an open-source pulsar flux density catalogue and automated spectral fitting software that finds the best spectral model and produces publication-quality plots. The Python-based software…

High Energy Astrophysical Phenomena · Physics 2022-11-09 N. A. Swainston , C. P. Lee , S. J. McSweeney , N. D. R. Bhat

We introduce the public version of the BAyesian STellar Algorithm (BASTA), an open-source code written in {\tt Python} to determine stellar properties based on a set of astrophysical observables. BASTA has been specifically designed to…

We introduce STRAUSS (Sonification Tools and Resources for Analysis Using Sound Synthesis) a modular, self-contained and flexible Python sonification package, operating in a free and open source (FOSS) capacity. STRAUSS is intended to be a…

Sound · Computer Science 2023-11-29 James W. Trayford , Chris M. Harrison

Accurately determining resonance frequencies and quality factors (Q) is crucial in accelerator physics and radiofrequency engineering, as these factors have direct impacts on system design, operational stability, and research results. The…

Accelerator Physics · Physics 2025-10-08 Kerem Semiz

ESPRESSO is an extremely stable high-resolution spectrograph which is currently being developed for the ESO VLT. With its groundbreaking characteristics it is aimed to be a "science machine", i.e., a fully-integrated instrument to directly…

The increasing availability of high-quality optical and near-infrared spectroscopic data, as well as advances in modelling techniques, have greatly expanded the scientific potential of spectroscopic studies. However, the software tools…

Instrumentation and Methods for Astrophysics · Physics 2025-12-23 Daniele Gasparri , Lorenzo Morelli , Umberto Battino , Jairo Méndez Abreu , Adriana de Lorenzo-Cáceres

ASTRA (ASTrometric and phase-Referencing Astronomy) is an upgrade to the existing Keck Interferometer which aims at providing new self-phase referencing (high spectral resolution observation of YSOs), dual-field phase referencing (sensitive…

Sonification, or conveying data using non-verbal audio, is a relatively niche but growing approach for presenting data across multiple specialist domains including astronomy, climate science, and beyond. The STRAUSS Python package aims to…

Instrumentation and Methods for Astrophysics · Physics 2025-05-13 James W. Trayford , Samantha Youles , Chris Harrison , Rose Shepherd , Nicolas Bonne

This demo paper introduces partitura, a Python package for handling symbolic musical information. The principal aim of this package is to handle richly structured musical information as conveyed by modern staff music notation. It provides a…

Sound · Computer Science 2022-02-01 Maarten Grachten , Carlos Cancino-Chacón , Thassilo Gadermaier

We present astroplan - an open source, open development, Astropy affiliated package for ground-based observation planning and scheduling in Python. astroplan is designed to provide efficient access to common observational quantities such as…

We introduce a new, open-source, Python module for the acquisition and processing of archival data from many X-ray telescopes - Democratising Archival X-ray Astronomy (hereafter referred to as DAXA). Our software is built to increase access…

Instrumentation and Methods for Astrophysics · Physics 2024-10-17 David J. Turner , Jessica E. Pilling , Megan Donahue , Paul A. Giles , Kathy Romer , Agrim Gupta , Toby Wallage , Ray Wang

We present an overview of Sherpa, an open source Python project, and discuss its development history, broad design concepts and capabilities. Sherpa contains powerful tools for combining parametric models into complex expressions that can…

We present the R package stellaR, which is designed to access and manipulate publicly available stellar evolutionary tracks and isochrones from the Pisa low-mass database. The procedures of the extraction of important stages in the…

Solar and Stellar Astrophysics · Physics 2013-07-04 M. Dell'Omodarme , G. Valle

ESPRESSO is an extremely stable high-resolution spectrograph which is currently being developed for the ESO VLT. With its groundbreaking characteristics it is aimed to be a "science machine", i.e. a fully-integrated instrument to directly…

Multi-device inference can reduce Transformer latency by parallelizing computation. However, existing methods require high inter-device bandwidth, making them impractical for bandwidth-constrained environments. We present ASTRA, a…

Machine Learning · Computer Science 2026-05-28 Xiao Liu , Lijun Zhang , Deepak Ganesan , Hui Guan

With the large amounts of spectroscopic data available today and the very large surveys to come (e.g. Gaia), the need for automatic data analysis software is unquestionable. We thus developed an automatic spectra analysis program for the…

Astrophysics of Galaxies · Physics 2015-06-03 Helene Posbic , David Katz , Elisabetta Caffau , Piercarlo Bonifacio , Luca Sbordone , Ana Gomez , Frederic Arenou

In the era of large time-domain spectro-photometric surveys, surface variations such as starspots, chemical inhomogeneities, pulsations, rotational distortions, and binary interactions can now be directly detected and modelled. Accurately…

Solar and Stellar Astrophysics · Physics 2025-11-17 M. Jabłońska , T. Różański , L. Casagrande , H. Shah , P. A. Kołaczek-Szymański , M. Rychlicki , Yuan-Sen Ting

Spectropolarimetry, the observation of polarization and intensity as a function of wavelength, is a powerful tool in stellar astrophysics. It is particularly useful for characterizing stars and circumstellar material, and for tracing the…

To reduce and analyze astronomical images, astronomers can rely on a wide range of libraries providing low-level implementations of legacy algorithms. However, combining these routines into robust and functional pipelines requires a major…

Instrumentation and Methods for Astrophysics · Physics 2021-11-17 Lionel J. Garcia , Mathilde Timmermans , Francisco J. Pozuelos , Elsa Ducrot , Michaël Gillon , Laetitia Delrez , Robert D. Wells , Emmanuël Jehin
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