Globalemu: a novel and robust approach for emulating the sky-averaged 21-cm signal from the cosmic dawn and epoch of reionization. Issue 2 (25th September 2021)
- Record Type:
- Journal Article
- Title:
- Globalemu: a novel and robust approach for emulating the sky-averaged 21-cm signal from the cosmic dawn and epoch of reionization. Issue 2 (25th September 2021)
- Main Title:
- Globalemu: a novel and robust approach for emulating the sky-averaged 21-cm signal from the cosmic dawn and epoch of reionization
- Authors:
- Bevins, H T J
Handley, W J
Fialkov, A
de Lera Acedo, E
Javid, K - Abstract:
- ABSTRACT: Emulation of the Global (sky-averaged) 21-cm signal with neural networks has been shown to be an essential tool for physical signal modelling. In this paper, we present globalemu, a Global 21-cm signal emulator that uses redshift as a character-defining variable alongside a set of astrophysical parameters to estimate the signal brightness temperature. Combined with physically motivated data pre-processing, this makes for a reliable and fast emulator that is relatively insensitive to the network design. globalemu can emulate a high-resolution signal in 1.3 ms in comparison to 133 ms, a factor of 102 improvement, when using the existing public state-of-the-art 21cmGEM . We illustrate, with the standard astrophysical models used to train 21cmGEM, that globalemu is almost twice as accurate and for a test set of ≈1700 signals we achieve a mean root mean squared error of 2.52 mK across the band z = 7–28 [≈10 per cent the expected noise of the Radio Experiment for the Analysis of Cosmic Hydrogen (REACH)]. The models are parametrized by the star formation efficiency, f *, minimum virial circular velocity, V c, X-ray efficiency, f X, cosmic microwave background optical depth, τ, the slope and low energy cut-off of the X-ray spectral energy density, α and ν min, respectively, and the mean free path of ionizing photons, R mfp . globalemu provides a flexible framework for easily emulating updated simulations of the Global signal and in addition the neutral fractionABSTRACT: Emulation of the Global (sky-averaged) 21-cm signal with neural networks has been shown to be an essential tool for physical signal modelling. In this paper, we present globalemu, a Global 21-cm signal emulator that uses redshift as a character-defining variable alongside a set of astrophysical parameters to estimate the signal brightness temperature. Combined with physically motivated data pre-processing, this makes for a reliable and fast emulator that is relatively insensitive to the network design. globalemu can emulate a high-resolution signal in 1.3 ms in comparison to 133 ms, a factor of 102 improvement, when using the existing public state-of-the-art 21cmGEM . We illustrate, with the standard astrophysical models used to train 21cmGEM, that globalemu is almost twice as accurate and for a test set of ≈1700 signals we achieve a mean root mean squared error of 2.52 mK across the band z = 7–28 [≈10 per cent the expected noise of the Radio Experiment for the Analysis of Cosmic Hydrogen (REACH)]. The models are parametrized by the star formation efficiency, f *, minimum virial circular velocity, V c, X-ray efficiency, f X, cosmic microwave background optical depth, τ, the slope and low energy cut-off of the X-ray spectral energy density, α and ν min, respectively, and the mean free path of ionizing photons, R mfp . globalemu provides a flexible framework for easily emulating updated simulations of the Global signal and in addition the neutral fraction history. The emulator is pip installable and available at https://github.com/htjb/globalemu . globalemu will be used extensively by the REACH collaboration. … (more)
- Is Part Of:
- Monthly notices of the Royal Astronomical Society. Volume 508:Issue 2(2021)
- Journal:
- Monthly notices of the Royal Astronomical Society
- Issue:
- Volume 508:Issue 2(2021)
- Issue Display:
- Volume 508, Issue 2 (2021)
- Year:
- 2021
- Volume:
- 508
- Issue:
- 2
- Issue Sort Value:
- 2021-0508-0002-0000
- Page Start:
- 2923
- Page End:
- 2936
- Publication Date:
- 2021-09-25
- Subjects:
- early Universe -- reionization -- first stars -- dark ages -- software: data analysis -- software: simulations
Astronomy -- Periodicals
Periodicals
520.5 - Journal URLs:
- http://mnras.oxfordjournals.org/ ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1365-2966 ↗
http://www.blackwell-synergy.com/issuelist.asp?journal=mnr ↗
http://www.blackwell-synergy.com/loi/mnr ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/mnras/stab2737 ↗
- Languages:
- English
- ISSNs:
- 0035-8711
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5943.000000
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