Table 1.
Optimum tomographic binning strategies evaluated for different science cases.
| Signal | Simulation type | Optimum binning | Optimum No. bins | Properties |
|---|---|---|---|---|
| choice | ||||
| Realistic noise | Equipopulated | Convergence by | Relative improvement between binning | |
| around six to seven | choices is up to 15% – represents motivation | |||
| Full 3 × 2 pt | to use the equipopulated bins | |||
| No-noise | Equipopulated | Convergence by | Relative gain between binning choices is | |
| around six to eight | slightly less significant (∼5–10%) | |||
| compared to the noisy simulation | ||||
| Realistic noise | Equal comoving | Convergence by | Minimal difference between different | |
| distance | around seven or | binning choices (percent level) | ||
| Cosmic shear | eight | |||
| No-noise | Equal redshift | Convergence by | Improvement in (w0, wa) constraints by | |
| width | around seven | increasing from two to ten equipopulated | ||
| bins is ≳99% for no-noise case | ||||
| compared to ∼10% for noisy case | ||||
| Realistic noise | Equipopulated | Convergence by | Minimal difference in behaviour | |
| Angular clustering | around six to seven | between no-noise and noisy simulations | ||
| No-noise | Equipopulated | Convergence by | Minimal difference in behaviour between | |
| around six to seven | no-noise and noisy simulations | |||
Notes. This table summarises the behaviour of the cosmic shear component, angular clustering component, and full 3 × 2 pt signal for different tomographic binning choices. The summary conclusions have been evaluated from the constraints on (w0, wa) measured across multiple binning choices and redshift bins in tomographic analyses of our simulated catalogues for both a no-noise and noisy set-up (see Sects. 6.1 & 6.2).
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