A white dwarf accreting planetary material determined from X-ray observations

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SciPy 1.0: fundamental algorithms for scientific computing in Python

Pauli Virtanen, Ralf Gommers, Travis E. Oliphant … (2020)

SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.

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Gaia Data Release 2

D. Barbato, F. Barblan, P. S. Barklem … (2018)

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The Chemical Composition of the Sun

Martin Asplund, Nicolas Grevesse, A. Jacques Sauval … (2009)

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Contributors

Tim Cunningham: (View ORCID Profile)

Peter J. Wheatley: (View ORCID Profile)

Pier-Emmanuel Tremblay: (View ORCID Profile)

Boris T. Gänsicke: (View ORCID Profile)

George W. King: (View ORCID Profile)

Odette Toloza: (View ORCID Profile)

Dimitri Veras: (View ORCID Profile)

Journal

Title: Nature

Abbreviated Title: Nature

Publisher: Springer Science and Business Media LLC

ISSN (Print): 0028-0836

ISSN (Electronic): 1476-4687

Publication date Created: February 10 2022

Publication date (Electronic): February 09 2022

Publication date (Print): February 10 2022

Volume: 602

Issue: 7896

Pages: 219-222

Article

DOI: 10.1038/s41586-021-04300-w

PubMed ID: 35140386

SO-VID: 2679be88-f179-4e8f-ad42-3c02f461b4b8

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https://www.springer.com/tdm

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