π The Astropy Project: Sustaining and Growing a Community-oriented Openβ¦
Quicklook:
Astropy Collaboration et al. (2022) Β· The Astrophysical Journal
Reads: 382 Β· Citations: 4877
DOI: 10.3847/1538-4357/ac7c74
π https://ui.adsabs.harvard.edu/abs/2022ApJ...935..167A/abstract
#Astronomy #Astrophysics #AstronomySoftware #OpenSourceSoftware #AstronomyDataAnalysis
The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package
The Astropy Project supports and fosters the development of open-source and openly developed Python packages that provide commonly needed functionality to the astronomical community. A key element of the Astropy Project is the core package astropy, which serves as the foundation for more specialized projects and packages. In this article, we summarize key features in the core package as of the recent major release, version 5.0, and provide major updates on the Project. We then discuss supporting a broader ecosystem of interoperable packages, including connections with several astronomical observatories and missions. We also revisit the future outlook of the Astropy Project and the current status of Learn Astropy. We conclude by raising and discussing the current and future challenges facing the Project.
π Verifying the Australian MWA EoR pipeline II: Fundamental limits of tβ¦
Quicklook:
Line, Jack Laurence Bramble et al. (2025) Β· Publications of the Astronomical Society of Australia
Reads: 119 Β· Citations: 2
DOI: 10.1017/pβ¦
π https://ui.adsabs.harvard.edu/abs/2025PASA...42...24L/abstract
#Astronomy #Astrophysics #Cosmology #AstronomyDataAnalysis #Reionisation
Verifying the Australian MWA EoR pipeline II: Fundamental limits of the AusEoRPipe and the impact of instrumental effects
Detection of the weak cosmological signal from high-redshift hydrogen demands careful data analysis and an understanding of the full instrument signal chain. Here, we use the WODEN simulation pipeline to produce realistic data from the Murchison Widefield Array (MWA) Epoch of Reionisation experiment and test the effects of different instrumental systematics through the AusEoRPipe analysis pipeline. The simulations include a realistic full sky model, direction-independent calibration, and both random and systematic instrumental effects. Results are compared to matched real observations. We find that, (i) with a sky-based calibration and power spectrum approach we have need to subtract more than 90% of all unresolved point source flux (10 mJy apparent) to recover 21-cm signal in the absence of instrumental effects; (ii) when including diffuse emission in simulations, some k-modes cannot be accessed, leading to a need for some diffuse emission removal; (iii) the single greatest cause of leakage is an incomplete sky model; and (iv) other sources of errors, such as cable reflections, flagged channels, and gain errors, impart comparable systematic power to one another and less power than the incomplete sky model.
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