.. _quickstart: ********** Quickstart ********** CCL is structured around :class:`~pyccl.cosmology.Cosmology` objects which hold the cosmological parameters and any tabulated data associated with a given cosmology. The library then provides functions to compute specific quantities of interest. See the full API documentation through the :mod:`pyccl` module and submodules for more details. Here are some of the generic conventions followed by CCL: - **All** units are **non**-h-inverse (e.g., Mpc as opposed to Mpc/h). - Distances are in units of Mpc, masses are in :math:`M_\odot` units. - The scale factor ``a`` is preferred over redshift ``z`` as a time label (although this is not always respected!). - The :class:`~pyccl.cosmology.Cosmology` object always comes first in most function calls that require it. - Argument ordering for power spectra is ``(k, a)``. - Argument ordering for halo model functions is ``(M, a)`` or ``(k, M, a)`` (when both wavenumbers and masses are required). This example computes the comoving distance, HALOFIT non-linear power spectrum using the BBKS transfer function, and the cross-power spectrum between cmb lensing and a sample of galaxies around :math:`z=1`. .. code-block:: python >>> import pyccl as ccl >>> import numpy as np >>> cosmo = ccl.Cosmology(Omega_c=0.25, Omega_b=0.05, h=0.7, n_s=0.95, sigma8=0.8, transfer_function='bbks') >>> cosmo.sigma8() # get sigma8 0.8 >>> z = 1 >>> ccl.comoving_radial_distance(cosmo, 1/(1+z)) # comoving distance to z=1 in Mpc 3303.5260243050056 >>> ccl.nonlin_matter_power(cosmo, k=1, a=1/(1+z)) # HALOFIT P(k) at k,z = 1,1 array(143.65934042) >>> zs = np.linspace(0, 2, 512) >>> ells = np.array([10, 100, 1000]) >>> gals = ccl.NumberCountsTracer(cosmo, has_rsd=False, dndz=(zs, np.exp(-((zs-z)/0.1)**2)), bias=(zs, np.ones_like(zs))) >>> cmbk = ccl.CMBLensingTracer(cosmo, z_source=1100) >>> ccl.angular_cl(cosmo, gals, cmbk, ells) array([1.71356558e-07, 1.80803491e-07, 7.51805386e-09]) See :ref:`models` for more details on the supported models for various cosmological quantities and the specification of the cosmological parameters. A comprehensive set of examples showcasing the different types of functionality implemented in CCL can be found `here `_.