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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2601.20914 |
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| _version_ | 1866908795559477248 |
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| author | Cardiel, Nicolás Pascual, Sergio Chillarón-Víctor, María Cabello, Cristina Gallego, Jesús Zamorano, Jaime Ceballos, María Teresa |
| author_facet | Cardiel, Nicolás Pascual, Sergio Chillarón-Víctor, María Cabello, Cristina Gallego, Jesús Zamorano, Jaime Ceballos, María Teresa |
| contents | The Python package teareduce has been developed to support teaching activities related to the reduction of astronomical data. Specifically, it serves as instructional material for students participating in practical classes on the processing of astronomical images acquired with various instruments and telescopes. These classes are part of the course Experimental Techniques in Astrophysics, which belongs to the Master's Degree in Astrophysics at the Complutense University of Madrid. The code is publicly available on GitHub, accompanied by a documentation page that includes Jupyter notebooks demonstrating the use of its various classes and functions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_20914 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Teareduce: a Python package with utilities for teaching reduction techniques in Astronomy Cardiel, Nicolás Pascual, Sergio Chillarón-Víctor, María Cabello, Cristina Gallego, Jesús Zamorano, Jaime Ceballos, María Teresa Instrumentation and Methods for Astrophysics The Python package teareduce has been developed to support teaching activities related to the reduction of astronomical data. Specifically, it serves as instructional material for students participating in practical classes on the processing of astronomical images acquired with various instruments and telescopes. These classes are part of the course Experimental Techniques in Astrophysics, which belongs to the Master's Degree in Astrophysics at the Complutense University of Madrid. The code is publicly available on GitHub, accompanied by a documentation page that includes Jupyter notebooks demonstrating the use of its various classes and functions. |
| title | Teareduce: a Python package with utilities for teaching reduction techniques in Astronomy |
| topic | Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2601.20914 |