Elephant chains PBJ
<div> <p>Chains from the analysis of the Elephant simulations for LCDM, nDGP cosmologies</p> <p><strong>Updated priors! Sample on c2, b2 and bG2 computed as derived parameters. Tighter priors on counterterms, scale dependent noise to better match PyBird choices</strong></p> <p>kmax = [0.16, 0.18, 0.20, 0.22, 0.24]</p> <p>redshifts = [1.0, 1.2, 1.4, 1.65]</p> <p>observables = [P0, P2]</p> <p>sampled parameters = [b1, c2, omega_c, omega_b, h, As, ns] + logOmega_rc</p> <p>analytically marginalised parameters = [bG3, c0, c2, aP, e0k2, e2k2]</p> <p> </p> </div> <h2> </h2>
ShareScore
20/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 8
- Reuse readiness
- 0
- Engagement
- 0
ScienceDex for faculty
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