Six Puzzles for LCDM Cosmology
L. Perivolaropoulos

TL;DR
This paper reviews six observational challenges to the LCDM cosmological model, discussing how dark energy properties might resolve these discrepancies between predictions and observations.
Contribution
It provides a comprehensive review of six key puzzles in LCDM cosmology and explores the potential role of dark energy properties in addressing these issues.
Findings
Large scale velocity flows are larger than LCDM predictions.
High redshift Type Ia supernovae are brighter than expected.
Void regions contain fewer dwarf galaxies than predicted.
Abstract
The LCDM cosmological model is a well defined, simple and predictive model which is consistent with the majority of current cosmological observations. Despite of these successes there are specific cosmological observations which differ from the predictions of LCDM at a level of 2\sigma or higher. These observations include the following: 1. Large Scale Velocity Flows (LCDM predicts significantly smaller amplitude and scale of flows than what observations indicate), 2. Brightness of Type Ia Supernovae (SnIa) at High Redshift z (LCDM predicts fainter SnIa at High z), 3. Emptiness of Voids (LCDM predicts more dwarf or irregular galaxies in voids than observed), 4. Profiles of Cluster Haloes (LCDM predicts shallow low concentration and density profiles in contrast to observations which indicate denser high concentration cluster haloes) 5. Profiles of Galaxy Haloes (LCDM predicts halo mass…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Gamma-ray bursts and supernovae · Stellar, planetary, and galactic studies
