Add miscentering to the theory module

[combet]

Miscentered profiles (single cluster or stacked) should be added to the theory module. See e.g. the cluster-toolkit documentation.

• for a single cluster --> new R_mis parameter to quantify the miscentering + 2 integrations
• for a stack --> needs extra integration over a miscentering distribution

Is it better to create new 'miscentered' functions or have extra keywords to the existing ones? What precision are we happy to live with. If sticking with scipy.integrate, we'll have to sacrifice a bit accuracy for speed I believe...

[combet]

Just pushed initial notebook that explores the set of integrals that need to be computed.

[hsinfan1996]

I made some optimization to the integrals and explored the possibilities of using different profiles and the CCL backend. The results on DeltaSigma_mis calculation are summarized here.

implementation/profile	NFW	EIN	HER
backend independent	2 sec	3 min	2 sec
implementation/profile	CCL NFW	CCL EIN	CCL HER	NC NFW	NC EIN	NC HER	CT NFW
optimized	40 sec	15 min^	40 sec	20 sec	10 sec	15 sec	1 min
original	20 min	X	7 min	7 min	4 min	7 min	30 min

X = (possibly) won't finish ^ Use CCL PR 1093 (Merged into master as CCL v2.8.1.dev73+g86125b08)

1. Backend independent implementation means we do not rely on the backends to calculate the surface mass densities.
2. Relaxing epsrel of quad_vec to 1e-6 will make the miscentering integrations work for the Hernquist profile (The default value is 1e-8) without compromising the precision of the profile.
3. backend independent EIN can potentially be faster by correctly setting up quad_vec to use multiprocessing.