Cosmology with Intensity Mapping via Statistics Beyond the Power Spectrum in the SKAO Era

@misc{majumdar2026cosmology,
  title = {{Cosmology with Intensity Mapping via Statistics Beyond the Power Spectrum in the SKAO Era}},
  author = {Suman Majumdar and Debanjan Sarkar and Leon Noble and Manas Mohit Dosibhatla and Zhaoting Chen and Bernhard Vos-Ginés and Vishrut Pandya and Mohd Kamran and Sourav Pal and Chandra Shekhar Murmu and Cora Uhlemann and Pauline Gorbatchev and Jean-Luc Starck and José Luis Bernal and Marta Spinelli and Caroline S Heneka and Matteo Viel and Gabriella de Lucia and Fabio Fontanot and Stefano Camera and Steve Cunnington and Benedetta Spina and Dionysis Karagiannis and Samit Kumar Pal and Anshuman Tripathi and Sarah Libanore and Abinash Kumar Shaw and Rajesh Mondal and Yashrajsinh Mahida and Yashar Akrami and Philip Bull and Chris Clarkson and Abhirup Datta and José Fonseca and Yin-Zhe Ma and Roy Maartens and Liantsoa F Randrianjanahary and Martin Sahlen and Xin Wang and Yougang Wang and Jochen Weller},
  howpublished = {HAL},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2606.30200},
  eprint = {2606.30200},
  archivePrefix = {arXiv},
  url = {https://hal.science/hal-05734228v1},
  note = {CC BY-NC-SA 4.0},
}

TY  - UNPB
TI  - Cosmology with Intensity Mapping via Statistics Beyond the Power Spectrum in the SKAO Era
AU  - Suman Majumdar
AU  - Debanjan Sarkar
AU  - Leon Noble
AU  - Manas Mohit Dosibhatla
AU  - Zhaoting Chen
AU  - Bernhard Vos-Ginés
AU  - Vishrut Pandya
AU  - Mohd Kamran
AU  - Sourav Pal
AU  - Chandra Shekhar Murmu
AU  - Cora Uhlemann
AU  - Pauline Gorbatchev
AU  - Jean-Luc Starck
AU  - José Luis Bernal
AU  - Marta Spinelli
AU  - Caroline S Heneka
AU  - Matteo Viel
AU  - Gabriella de Lucia
AU  - Fabio Fontanot
AU  - Stefano Camera
AU  - Steve Cunnington
AU  - Benedetta Spina
AU  - Dionysis Karagiannis
AU  - Samit Kumar Pal
AU  - Anshuman Tripathi
AU  - Sarah Libanore
AU  - Abinash Kumar Shaw
AU  - Rajesh Mondal
AU  - Yashrajsinh Mahida
AU  - Yashar Akrami
AU  - Philip Bull
AU  - Chris Clarkson
AU  - Abhirup Datta
AU  - José Fonseca
AU  - Yin-Zhe Ma
AU  - Roy Maartens
AU  - Liantsoa F Randrianjanahary
AU  - Martin Sahlen
AU  - Xin Wang
AU  - Yougang Wang
AU  - Jochen Weller
PY  - 2026
DA  - 2026/09/01
PB  - HAL
DO  - 10.48550/arxiv.2606.30200
UR  - https://hal.science/hal-05734228v1
AB  - The cosmological distribution of neutral hydrogen (HI) during the post-reionization era is highly non-Gaussian due to the underlying non-linear structure formation, complex galaxy biasing, and potential primordial non-Gaussianity. One needs higher-order (beyond two-point) statistics to maximally extract the non-Gaussian information out of the 21-cm intensity maps. This chapter summarizes the potential of several higher-order statistics, including voxel intensity distribution, emission line stacking, probability density functions, ℓ_1-norm, bispectrum, and various marked statistics. Additionally, image-based morphological descriptors, such as the Largest Cluster Statistic, local dimensions, and Minkowski functionals, etc., can potentially characterize the morphology and geometry of the cosmic web encoded in the 21-cm intensity maps. This chapter presents forecasts of the detectability of these higher-order statistics in the context of the future SKAO observations. These forecasts incorporate instrumental noise, observational effects, and, in some cases, foreground removal in their analyses. With its unprecedented sensitivity, the future SKAO 21-cm observations will enable us to measure these higher-order statistics more precisely, possibly helping to break degeneracies between astrophysical and cosmological parameters, and maximizing the science outcome from these surveys.
ER  -