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21 cm Cosmology Workshop

August 30, 2022 to September 2, 2022
UW Madison
America/Chicago timezone
The workshop focuses on sharing recent progress and challenges from all the major 21 cm intensity mapping efforts, both EoR and post-EoR, to help this field reach its full potential. We will discuss important common challenges: calibration, sources of local correlated signals, foreground mitigation, cross-correlations, systematics from digital signal processing, validation, and software tools.

Scientific organizing Committee

Session

Wednesday Morning - Calibration I ; Session Chair - John Marriner

Aug 31, 2022, 7:00 AM
B343 Sterling Hall (UW Madison)

B343 Sterling Hall

UW Madison

475 North Charter Street Madison, WI 53706

Presentation materials

There are no materials yet.

  1. 24. Welcome to Madison!
    Peter Timbie
    8/31/22, 7:00 AM
  2. 1. X-coupling, calibration in HERA
    Nick Kern (MIT)
    8/31/22, 7:15 AM

    Instrumental systematics pose a significant threat to 21 cm telescopes aiming to detect a weak cosmological signal behind bright foreground emission. I will discuss the kinds of instrumental coupling systematics seen in HERA data and the tools we are developing to mitigate these systematics in 21 cm power spectrum analyses, including extended calibration techniques and complex visibility...

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  3. 2. Achieving Precision Calibration for 21 cm Cosmology with DWCal
    Ruby Byrne (CalText)
    8/31/22, 7:40 AM

    One of the primary challenges of 21 cm cosmology analyses is overcoming calibration error. Established calibration approaches in the field require an exquisitely accurate sky model. Even low-level sky model errors introduce calibration errors that corrupt the cosmological signal and prevent a detection. We present a novel approach called Delay-Weighted Calibration, or DWCal. DWCal enables...

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  4. 16. Validation of Software Pipelines: the HERA Experience
    James Aguirre (UPenn / HERA)
    8/31/22, 8:05 AM

    The extraction of the desired signal from 21 cm cosmology experiments faces steep challenges: the combined issues of data size, weak signal, strong foregrounds, and complex instruments couple with sophisticated, constantly-evolving, multi-step software pipelines developed by large groups to produce a situation which undermines confidence in the final analysis. The challenges of producing...

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