Skip to content
DraconiticResearch
Search Sources API
181,716 studies31 sourcesUpdated 11 min ago
PreprintCC BY 4.0arXiv

Bayesian Galaxy Asymmetry

  • Mathieu Perron-Cormier
  • Kristine Spekkens
  • Nathan Deg
  • Lawrence M. Widrow
  • Marcin Glowacki
Open at sourcePDFDOICite

Abstract

Galaxy asymmetry is an efficient way to characterize galaxy morphology in atomic hydrogen 21 cm emission detections. We propose a novel Bayesian approach to calculate the probability of an underlying squared differences asymmetry in a noisy detection. This approach has a number of advantages, including the recovery of low asymmetry values where prior noise corrections failed. More importantly, our approach provides robust uncertainties on the asymmetry, enabling a wide variety of statistical studies of galaxy populations. This method is generalized for convolved noise measures. We validate our method using a convergence test. Finally, we show how, when applied to the untargeted HI survey WALLABY, our method nearly triples the number of reliable measurements relatively to the previous state-of-the-art technique. This Bayesian approach to measure asymmetry will therefore further unlock the statistical power of widefield galaxy surveys.

Versions

Related

  1. Markov Chain Monte Carlo for Bayesian Parametric Galaxy Modeling in LSST
    James J. Buchanan, Michael D. Schneider, Kerianne Pruett +1
    The Astrophysical JournalPeer-reviewedCC BY 4.0Full textGalaxiesCrossref
  2. Cosmic Birefringence from Large Lepton Asymmetry
    Kentaro Kasai, Ippei Obata
    arXivPreprintarXiv licenceFull textCosmologyHigh-energy & particle physicsarXiv
  3. Matter-Antimatter Asymmetry from Dirac-Majorana Flip-Flop
    Debasish Borah, Arnab Dasgupta, Debalina Nandy +2
    arXivPreprintarXiv licenceFull textCosmologyHigh-energy & particle physicsarXiv
  4. Cosmological constraints on extra radiation and early dark energy with lepton asymmetry and varying quark masses
    Yo Toda
    arXivPreprintCC BY 4.0Full textCosmologyHigh-energy & particle physicsarXiv
  5. Turning Selection Bias into a New Statistic: Asymmetry and Fringes of Lensed Gravitational Waves
    Juno C. L. Chan, Elwin K. Y. Li
    arXivPreprintCC BY 4.0Full textInstrumentation & methodsGravitation & general relativityarXiv

Cite

BibTeXRIS
BibTeX
@misc{perroncormier2026bayesian,
  title = {{Bayesian Galaxy Asymmetry}},
  author = {Mathieu Perron-Cormier and Kristine Spekkens and Nathan Deg and Lawrence M. Widrow and Marcin Glowacki},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.26472},
  eprint = {2609.26472},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.26472},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Bayesian Galaxy Asymmetry
AU  - Mathieu Perron-Cormier
AU  - Kristine Spekkens
AU  - Nathan Deg
AU  - Lawrence M. Widrow
AU  - Marcin Glowacki
PY  - 2026
DA  - 2026/09/22
PB  - arXiv
DO  - 10.48550/arxiv.2609.26472
UR  - https://arxiv.org/abs/2609.26472
AB  - Galaxy asymmetry is an efficient way to characterize galaxy morphology in atomic hydrogen 21 cm emission detections. We propose a novel Bayesian approach to calculate the probability of an underlying squared differences asymmetry in a noisy detection. This approach has a number of advantages, including the recovery of low asymmetry values where prior noise corrections failed. More importantly, our approach provides robust uncertainties on the asymmetry, enabling a wide variety of statistical studies of galaxy populations. This method is generalized for convolved noise measures. We validate our method using a convergence test. Finally, we show how, when applied to the untargeted HI survey WALLABY, our method nearly triples the number of reliable measurements relatively to the previous state-of-the-art technique. This Bayesian approach to measure asymmetry will therefore further unlock the statistical power of widefield galaxy surveys.
ER  -