21cmSense v2: A modular, open-source 21cm sensitivity calculator

Abstract

The 21cm line of neutral hydrogen is a powerful probe of the high-redshift universe (Cosmic Dawn and the Epoch of Reionization), with an unprecedented potential to inform us about key processes of early galaxy formation, the first stars and even cosmology and structure formation, via intensity mapping. It is the subject of a number of current and upcoming low-frequency radio experiments. This paper presents 21cmSense v2.0, which is a Python package that provides a modular framework for calculating the sensitivity of these experiments, in order to enhance the process of their design and forecasting their power for parameter inference. Version 2.0 of 21cmSense has been re-written from the ground up to be more modular and extensible than its venerable predecessor (Pober et al., 2013, 2014), and to provide a more user-friendly interface. The package is freely available both to use and contribute towards at https://github.com/rasg-affiliates/21cmSense.

arXiv comment2 figures. Published in JOSS. Comments and contributions very welcome!

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Cited by in corpus (11)

• RHINO: A large horn antenna for detecting the 21cm global signal
• Detecting galaxy-21-cm cross-correlation during reionization
• Joint 21-cm and CMB Forecasts for Constraining Self-Interacting Massive Neutrinos
• oLIMpus: An Effective Model for Line Intensity Mapping Auto- and Cross- Power Spectra in Cosmic Dawn and Reionization
• Astrophysical uncertainties challenge 21-cm forecasts: A primordial black hole case study
• Beyond the Power Spectrum: A New Framework for Non-Stationary Fields with Applications to Light-Cone Effects in Line Intensity Mapping
• Sample Variance Denoising in Cylindrical 21-cm Power Spectra
• Primordial black holes and the velocity acoustic oscillations features in 21 cm signals from the cosmic Dark Ages
• Exploring the Model Dependence of MCMC-Based 21 cm Power Spectrum Parameter Constraints
• Mitigating gain calibration errors from EoR observations with SKA1-Low AA*
• Probing power spectrum enhancement at small scales with the SKA