From d3a061206b92109d34c9238559cb1dcc552a5137 Mon Sep 17 00:00:00 2001 From: Alexander Mead Date: Sat, 8 Apr 2023 18:08:33 +0100 Subject: [PATCH] Update README.md --- README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 187e557..21c55f6 100644 --- a/README.md +++ b/README.md @@ -53,12 +53,12 @@ I coded this `Python` version of `HMcode-2020` ([Mead et al. 2021](https://arxiv You might also be interested in [`pyhalomodel`](https://pypi.org/project/pyhalomodel/), upon which this code depends, which implements a vanilla halo-model calculation for any desired large-scale-structure tracer. Alternatively, and very confusingly, you might be interested in this [`pyhmcode`](https://pypi.org/project/pyhmcode/), which provides a wrapper around the original `Fortran` `HMcode` implementation. I compared it against the `CAMB-HMcode` version for 100 random sets of cosmological parameters ($k < 10 h\mathrm{Mpc}^{-1}$; $z < 3$). The level of agreement between the two codes is as follows: -- LCDM: Mean error: 0.10%; Std error: 0.03%; Worst error; 0.21% -- k-LCDM: Mean error: 0.11%; Std error: 0.03%; Worst error; 0.23% -- w-CDM: Mean error: 0.10%; Std error: 0.03%; Worst error; 0.20% -- w(a)-CDM: Mean error: 0.13%; Std error: 0.06%; Worst error; 0.48% -- nu-LCDM: Mean error: 0.47%; Std error: 0.44%; Worst error; 2.01% (larger errors strongly correlated with neutrino mass) -- nu-k-w(a)-CDM: Mean error: 0.42%; Std error: 0.43%; Worst error; 2.02% (larger errors strongly correlated with neutrino mass) +- LCDM: Mean error: 0.10%; Standard deviation of error: 0.03%; Worst-case error; 0.21% +- k-LCDM: Mean error: 0.11%; Standard deviation of error: 0.03%; Worst-case error; 0.23% +- w-CDM: Mean error: 0.10%; Standard deviation of error: 0.03%; Worst-case error; 0.20% +- w(a)-CDM: Mean error: 0.13%; Standard deviation of error: 0.06%; Worst-case error; 0.48% +- nu-LCDM: Mean error: 0.47%; Standard deviation of error: 0.44%; Worst-case error; 2.01% (larger errors strongly correlated with neutrino mass) +- nu-k-w(a)-CDM: Mean error: 0.42%; Standard deviation of error: 0.43%; Worst-case error; 2.02% (larger errors strongly correlated with neutrino mass) These comparisons can be reproduced using the `comparisons/CAMB.py` script.