A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
IOP4, the Interactive Optical Photo-Polarimetric Python Pipeline
Tekijät: Pedrosa, Juan Escudero; Agudo, Ivan; Morcuende, Daniel; Otero-Santos, Jorge; Bonnoli, Giacomo; Piirola, Vilppu; Husillos, Cesar; Bernardos, Mabel; Lopez-Coto, Ruben; Sota, Alfredo; Casanova, Victor; Aceituno, Fran J.; Santos-Sanz, Pablo
Kustantaja: IOP Publishing Ltd
Kustannuspaikka: BRISTOL
Julkaisuvuosi: 2024
Journal: The Astronomical Journal
Tietokannassa oleva lehden nimi: ASTRONOMICAL JOURNAL
Lehden akronyymi: ASTRON J
Artikkelin numero: 84
Vuosikerta: 168
Numero: 2
Sivujen määrä: 9
ISSN: 0004-6256
eISSN: 1538-3881
DOI: https://doi.org/10.3847/1538-3881/ad5a80
Verkko-osoite: https://iopscience.iop.org/article/10.3847/1538-3881/ad5a80
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/457447219
IOP4 is a pipeline to perform photometry and polarimetry analysis of optical data from Calar Alto (CAHA) and Sierra Nevada (OSN) observatories. IOP4 implements Object Relational Mapping to seamlessly integrate all information about the reduction and results in a database that can be used to query and plot results, flag data, and inspect the reduction process in an integrated fashion with the whole pipeline. It also ships with an already built-in web interface that can be used out of the box to browse the database and supervise all pipeline processes. It is built to ease debugging and inspection of data. Reduction from five different instruments are already implemented: RoperT90, AndorT90, DIPOL (at OSN 0.9 m telescope), AndorT150 (OSN 1.5 m telescope), and CAFOS (CAHA 2.2 m telescope). IOP4's modular design allows for easy integration of new observatories and instruments, and its results have already featured in several high-impact refereed publications. In this paper we describe the implementation and characteristics of IOP4.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
Julkaisussa olevat rahoitustiedot:
The IAA-CSIC team acknowledges financial support from the Spanish "Ministerio de Ciencia e Innovación" (MCIN/AEI/ 10.13039/501100011033) through the Center of Excellence Severo Ochoa award for the Instituto de Astrofísica de Andalucía-CSIC (CEX2021-001131-S), and through grants PID2019-107847RB-C44 and PID2022-139117NB-C44. P.S-S. acknowledges financial support from the Spanish I+D+i project PID2022-139555NB-I00 (TNO-JWST) funded by MCIN/AEI/10.13039/501100011033. Based on observations made at the Sierra Nevada Observatory (OSN), operated by the Instituto de Astrofísica de Andalucía (IAA-CSIC), and at the Centro Astronómico Hispano-Alemán (CAHA), operated jointly by Junta de Andalucía and the IAA-CSIC. Development of this software would not have been possible without the invaluable and selfless contributions of the open-source community. Facilities: Instituto de Astrofísica de Andalucía - (IAA-CSIC), Observatorio de Sierra Nevada - (OSN), Observatorio de Calar Alto (CAHA) - . Software: Django (Django Software Foundation 2023), SQLite (SQLite Developers 2023), Vue.js (Vue Developers 2023), numpy (Harris et al. 2020), astropy (Astropy Collaboration et al. 2013, 2018, 2022), photutils (Bradley et al. 2023), astrometry.net (Lang et al. 2010).
