docs: drop removed PySwarms/MultiNest searches from docs and CITATIONS (search-extensibility A0c)

CITATIONS.md

@@ -11,6 +11,6 @@ our GitHub page!
 **PyAutoGalaxy** is published in the [Journal of Open Source Software](https://joss.theoj.org/papers/10.21105/joss.02825#) and its
 entry in the above .bib file is under the citation key `pyautogalaxy`.
 
-You should also specify the non-linear search(es) you use in your analysis (e.g. Dynesty, Emcee, PySwarms, etc) in
+You should also specify the non-linear search(es) you use in your analysis (e.g. Nautilus, Dynesty, Emcee, Zeus, etc) in
 the main body of text, and delete as appropriate any packages your analysis did not use. The citations.bib file includes
 the citation key for all of these projects.

docs/general/citations.md

@@ -13,7 +13,7 @@ entry in the above .bib file is under the citation key `pyautogalaxy`.
 As shown in the examples, we would greatly appreciate it if you mention **PyAutoGalaxy** by name and include a link to
 our GitHub page!
 
-You should also specify the non-linear search(es) you use in your analysis (e.g. Dynesty, Emcee, PySwarms, etc) in
+You should also specify the non-linear search(es) you use in your analysis (e.g. Nautilus, Dynesty, Emcee, Zeus, etc) in
 the main body of text, and delete as appropriate any packages your analysis did not use. The citations.bib file includes
 the citation key for all of these projects.
 

docs/index.md

@@ -144,7 +144,7 @@ galaxies_plotter.figures_2d(image=True)
 To perform model-fitting, `PyAutoGalaxy` adopts the probabilistic programming
 language `PyAutoFit` (<https://github.com/PyAutoLabs/PyAutoFit>). `PyAutoFit` allows users to compose a
 model from `LightProfile` and `Galaxy` objects, customize the model parameterization and fit it to data via a
-non-linear search (e.g., `dynesty` [@dynesty], `emcee` [@emcee], `PySwarms` [@pyswarms]). By composing a model with
+non-linear search (e.g., `Nautilus` [@nautilus], `dynesty` [@dynesty], `emcee` [@emcee]). By composing a model with
 `Pixelization` objects, the galaxy's light is reconstructed using a non-parametric rectangular
 grid or Voronoi mesh that accounts for irregular galaxy morphologies.
 

docs/installation/overview.md

@@ -32,8 +32,6 @@ our [building from source installation guide](https://pyautogalaxy.readthedocs.i
 
 **emcee** <https://github.com/dfm/emcee>
 
-**PySwarms** <https://github.com/ljvmiranda921/pyswarms>
-
 **colossus**: <https://bdiemer.bitbucket.io/colossus/>
 
 **astropy** <https://www.astropy.org/>

docs/research/nfw_ludlow16_jax_assessment.md

@@ -233,7 +233,7 @@ top.
 
 The `kappa_s` discrepancy (1 × 10⁻³ relative, 0.1%) is one bit-flip in a
 typical 10-bit posterior coverage on `kappa_s` — invisible in any plausible
-HMC / Nautilus / MultiNest run on real data.
+HMC / Nautilus / Dynesty run on real data.
 
 ### Verdict on science fidelity