LyaCoLoRe: Synthetic Datasets for Current and Future Lyman-${\alpha}$ Forest BAO Surveys

Understand

The statistical power of Lyman-${\alpha}$ forest Baryon Acoustic Oscillation (BAO) measurements is set to increase significantly in the coming years as new instruments such as the Dark Energy Spectroscopic Instrument deliver progressively more constraining data.

• Generating mock datasets for such measurements will be important for validating analysis pipelines and evaluating the effects of systematics.
• With such studies in mind, we present LyaCoLoRe: a package for producing synthetic Lyman-${\alpha}$ forest survey datasets for BAO analyses.
• LyaCoLoRe transforms initial Gaussian random field skewers into skewers of transmitted flux fraction via a number of fast approximations.