Exploring excess variance in LOFAR-EoR using machine learning

Event Start:
2023-04-03T15:00:00
Event End:
2023-04-03T16:00:00
Event Information:

Abstract:

The detection of the 21 cm signal from the Epoch of Reionisation (EoR) is challenging due to the strong astrophysical foregrounds, radio frequency interference (RFI), and ionospheric and instrumental effects. Most if not all observations of the 21 cm signal at high redshifts show so-called “excess variance” in their power spectrum, well beyond what would be expected based on the thermal noise limit. Understanding the sources of the excess is crucial for improving upper limits on the EoR signal.

Event Location:
HENN 318
Speaker:
Dr. Hyoyin Gan (UBC Physics & Astronomy)
Related Upcoming Events:
Add to Calendar Event Start: 2023-04-03T15:00:00 Event End: 2023-04-03T16:00:00 Exploring excess variance in LOFAR-EoR using machine learning Event Information: Abstract: The detection of the 21 cm signal from the Epoch of Reionisation (EoR) is challenging due to the strong astrophysical foregrounds, radio frequency interference (RFI), and ionospheric and instrumental effects. Most if not all observations of the 21 cm signal at high redshifts show so-called “excess variance” in their power spectrum, well beyond what would be expected based on the thermal noise limit. Understanding the sources of the excess is crucial for improving upper limits on the EoR signal. Event Location: HENN 318

Source URL: https://phas.ubc.ca/exploring-excess-variance-lofar-eor-using-machine-learning