.. _bibliography:

Bibliography
============

This page collects all references cited in the ``sum_stat`` documentation,
organised by topic.  Each entry links to the NASA Astrophysics Data System
(ADS) abstract page.

.. contents:: Contents
   :local:
   :depth: 1

----

Software packages
-----------------

These are the codes called directly by ``sum_stat`` or used in its test suite.

#. Sinha, M. & Garrison, L. H. (2020).
   *CORRFUNC — a suite of blazing fast correlation functions on the CPU.*
   MNRAS 491, 3022.
   `ADS <https://ui.adsabs.harvard.edu/abs/2020MNRAS.491.3022S>`__

#. Jarvis, M., Bernstein, G. & Jain, B. (2004).
   *The skewness of the aperture mass statistic.*
   MNRAS 352, 338. Primary reference for the TreeCorr library.
   `ADS <https://ui.adsabs.harvard.edu/abs/2004MNRAS.352..338J>`__

#. Jarvis, M. (2015).
   *TreeCorr: two-point correlation functions.*
   Astrophysics Source Code Library, record ascl:1508.007.
   `ADS <https://ui.adsabs.harvard.edu/abs/2015ascl.soft08007J>`__

#. Lange, J. U. (2022).
   *dsigma: galaxy-galaxy lensing Python package.*
   Astrophysics Source Code Library, record ascl:2204.006.
   `ADS <https://ui.adsabs.harvard.edu/abs/2022ascl.soft04006L>`__

#. Górski, K. M., Hivon, E., Banday, A. J., et al. (2005).
   *HEALPix: A Framework for High-Resolution Discretization and Fast
   Analysis of Data Distributed on the Sphere.*
   ApJ 622, 759.
   `ADS <https://ui.adsabs.harvard.edu/abs/2005ApJ...622..759G>`__

#. Zonca, A., Singer, L., Lenz, D., et al. (2019).
   *healpy: equal area pixelization and spherical harmonics transforms
   for data on the sphere in Python.*
   Journal of Open Source Software 4, 1298.
   `ADS <https://ui.adsabs.harvard.edu/abs/2019JOSS....4.1298Z>`__

#. Astropy Collaboration, Price-Whelan, A. M., Sipőcz, B. M.,
   et al. (2018).
   *The Astropy Project: Building an Open-science Project and Status of the
   v2.0 Core Package.*
   AJ 156, 123.
   `ADS <https://ui.adsabs.harvard.edu/abs/2018AJ....156..123A>`__

#. Astropy Collaboration, Price-Whelan, A. M., Lim, P. L.,
   et al. (2022).
   *The Astropy Project: Sustaining and Growing a Community-oriented
   Open-source Project and the Latest Major Release (v5.0) of the Core Package.*
   ApJ 935, 167.
   `ADS <https://ui.adsabs.harvard.edu/abs/2022ApJ...935..167A>`__

#. Foreman-Mackey, D., Hogg, D. W., Lang, D. & Goodman, J.
   (2013).
   *emcee: The MCMC Hammer.*
   PASP 125, 306.
   `ADS <https://ui.adsabs.harvard.edu/abs/2013PASP..125..306F>`__

----

One-point estimators — luminosity and stellar mass functions
------------------------------------------------------------

These papers define the estimators implemented in :mod:`sum_stat.lf_smf`.

#. Schmidt, M. (1968).
   *Space Distribution and Luminosity Functions of Quasi-Stellar Radio Sources.*
   ApJ 151, 393. Introduced the 1/V\ :sub:`max` method.
   `ADS <https://ui.adsabs.harvard.edu/abs/1968ApJ...151..393S>`__

#. Efstathiou, G., Ellis, R. S. & Peterson, B. A. (1988).
   *Analysis of a complete galaxy redshift survey — II. The field-galaxy
   luminosity function.*
   MNRAS 232, 431. Introduced the stepwise maximum-likelihood (SWML) estimator.
   `ADS <https://ui.adsabs.harvard.edu/abs/1988MNRAS.232..431E>`__

#. Lynden-Bell, D. (1971).
   *A method of allowing for known observational selection in small samples
   applied to 3CR quasars.*
   MNRAS 155, 95. Introduced the C\ :sup:`−` cumulative estimator.
   `ADS <https://ui.adsabs.harvard.edu/abs/1971MNRAS.155...95L>`__

#. Efron, B. & Petrosian, V. (1992).
   *A simple test of independence for truncated data with applications to
   redshift surveys.*
   ApJ 399, 345. Introduced the τ statistic for magnitude–redshift independence.
   `ADS <https://ui.adsabs.harvard.edu/abs/1992ApJ...399..345E>`__

#. Rauzy, S. (2001).
   *A likelihood-based approach to the estimation of the luminosity function.*
   MNRAS 324, 51. Introduced the T\ :sub:`c`/T\ :sub:`v` completeness statistics.
   `ADS <https://ui.adsabs.harvard.edu/abs/2001MNRAS.324...51R>`__

#. Johnston, R., Teodoro, L. F. A. & Hendry, M. A. (2007).
   *The use of photometric survey data in luminosity function determination.*
   MNRAS 376, 1757. Completeness scan with bright limit (T\ :sub:`c` / T\ :sub:`v`).
   `ADS <https://ui.adsabs.harvard.edu/abs/2007MNRAS.376.1757J>`__

#. Teodoro, L. F. A., Davis, M. & Strigari, L. E. (2010).
   *Completing the census of the Local Group.*
   MNRAS 405, 1187. Adaptive S/N mode for the completeness scan.
   `ADS <https://ui.adsabs.harvard.edu/abs/2010MNRAS.405.1187T>`__

#. Johnston, R., Henriques, B. & Teodoro, L. F. A. (2012).
   *Completeness corrections — III. Identifying characteristic systematics
   and evolution in galaxy redshift surveys.*
   MNRAS 421, 270. Error propagation for the completeness scan.
   `ADS <https://ui.adsabs.harvard.edu/abs/2012MNRAS.421..270J>`__

----

Two-point estimators — galaxy clustering
-----------------------------------------

These papers define the correlation-function estimators and projections
used by :mod:`sum_stat.twopcf`.

#. Peebles, P. J. E. & Hauser, M. G. (1974).
   *Statistical Analysis of Catalogs of Extragalactic Objects. I. Theory.*
   ApJS 28, 19. The first formulation of the 2-point correlation function
   estimator DD/RR.
   `ADS <https://ui.adsabs.harvard.edu/abs/1974ApJS...28...19P>`__

#. Davis, M. & Peebles, P. J. E. (1977).
   *On the integration of the BBGKY equations for the development of
   strongly nonlinear clustering in an expanding universe.*
   ApJS 34, 425. Early measurement of ξ(r) from the CfA survey.
   `ADS <https://ui.adsabs.harvard.edu/abs/1977ApJS...34..425D>`__

#. Davis, M. & Peebles, P. J. E. (1983).
   *A survey of galaxy redshifts. V. The two-point position and velocity
   correlations.*
   ApJ 267, 465. Introduced the Davis–Peebles (DP) estimator and the
   projected correlation function w\ :sub:`p`\ (r\ :sub:`p`).
   `ADS <https://ui.adsabs.harvard.edu/abs/1983ApJ...267..465D>`__

#. Landy, S. D. & Szalay, A. S. (1993).
   *Bias and variance of angular correlation functions.*
   ApJ 412, 64. Introduced the Landy–Szalay (LS) estimator, used for both
   angular w(θ) and projected w\ :sub:`p`\ (r\ :sub:`p`).
   `ADS <https://ui.adsabs.harvard.edu/abs/1993ApJ...412...64L>`__

#. Limber, D. N. (1953).
   *The Analysis of Counts of the Extragalactic Nebulae in Terms of a
   Fluctuating Density Field.*
   ApJ 117, 134. The Limber approximation relating angular to spatial
   correlations.
   `ADS <https://ui.adsabs.harvard.edu/abs/1953ApJ...117..134L>`__

#. Hamilton, A. J. S. (1992).
   *Linear redshift distortions: a review.*
   ApJ 385, L5. Legendre decomposition of the redshift-space 2PCF into
   multipoles ξ\ :sub:`ℓ`\ (s).
   `ADS <https://ui.adsabs.harvard.edu/abs/1992ApJ...385L...5H>`__

#. Norberg, P., Baugh, C. M., Gaztañaga, E. & Croton, D. J.
   (2009).
   *Statistical analysis of galaxy surveys — I. Robust error estimation for
   two-point clustering statistics.*
   MNRAS 396, 19. Comprehensive comparison of jackknife and bootstrap
   covariance estimators.
   `ADS <https://ui.adsabs.harvard.edu/abs/2009MNRAS.396...19N>`__

#. Vargas-Magaña, M., Bautista, J. E., Hamilton, J.-C., et al.
   (2013).
   *An optimized correlation function estimator for galaxy surveys.*
   A&A 554, A131. Detailed comparison of LS and related estimators.
   `ADS <https://ui.adsabs.harvard.edu/abs/2013A&A...554A.131V>`__

----

Weak gravitational lensing
---------------------------

These papers define the excess surface density estimator used by
:mod:`sum_stat.lensing`.

#. Bartelmann, M. & Schneider, P. (2001).
   *Weak gravitational lensing.*
   Phys Rep 340, 291. Standard review of weak lensing theory.
   `ADS <https://ui.adsabs.harvard.edu/abs/2001PhR...340..291B>`__

#. Wright, C. O. & Brainerd, T. G. (2000).
   *Gravitational Lensing by NFW Halos.*
   ApJ 534, 34. Analytic expression for ΔΣ(r\ :sub:`p`) around an NFW profile.
   `ADS <https://ui.adsabs.harvard.edu/abs/2000ApJ...534...34W>`__

#. Sheldon, E. S., Johnston, D. E., Frieman, J. A., et al.
   (2004).
   *The Galaxy-Mass Correlation Function Measured from Weak Lensing in the
   Sloan Digital Sky Survey.*
   AJ 127, 2544. Defined the ΔΣ estimator used in ``sum_stat``.
   `ADS <https://ui.adsabs.harvard.edu/abs/2004AJ....127.2544S>`__

#. Mandelbaum, R., Hirata, C. M., Broderick, T., Seljak, U.
   & Brinkmann, J. (2005).
   *Systematic effects in weak lensing: Application to SDSS galaxy–galaxy
   weak lensing.*
   MNRAS 361, 1287.
   `ADS <https://ui.adsabs.harvard.edu/abs/2005MNRAS.361.1287M>`__

----

Power spectra and angular statistics
--------------------------------------

These papers define the power-spectrum estimators in :mod:`sum_stat.powspec`.

#. Feldman, H. A., Kaiser, N. & Peacock, J. A. (1994).
   *Power-spectrum Analysis of Three-dimensional Redshift Surveys.*
   ApJ 426, 23. The FKP minimum-variance weighting scheme.
   `ADS <https://ui.adsabs.harvard.edu/abs/1994ApJ...426...23F>`__

#. Hivon, E., Górski, K. M., Netterfield, C. B., et al. (2002).
   *MASTER of the Cosmic Microwave Background Anisotropy Power Spectrum:
   A Fast Method for Statistical Analysis of Large and Complex CMB Data Sets.*
   ApJ 567, 2. The pseudo-C\ :sub:`ℓ` method used for the angular power spectrum.
   `ADS <https://ui.adsabs.harvard.edu/abs/2002ApJ...567....2H>`__

----

Surveys and datasets
---------------------

Reference papers for the datasets used in validation runs.

#. Laigle, C., McCracken, H. J., Ilbert, O., et al. (2016).
   *The COSMOS2015 Catalog: Exploring the 1 < z < 6 Universe with Half a
   Million Galaxies.*
   ApJS 224, 24.
   `ADS <https://ui.adsabs.harvard.edu/abs/2016ApJS..224...24L>`__

#. Ilbert, O., McCracken, H. J., Le Fèvre, O., et al. (2013).
   *Mass assembly in quiescent and star-forming galaxies since z ≃ 4 from
   UltraVISTA.*
   A&A 556, A55. COSMOS stellar mass function across 0 < z < 4.
   `ADS <https://ui.adsabs.harvard.edu/abs/2013A&A...556A..55I>`__

#. Davidzon, I., Ilbert, O., Laigle, C., et al. (2017).
   *The COSMOS2015 galaxy stellar mass function.*
   A&A 605, A70.
   `ADS <https://ui.adsabs.harvard.edu/abs/2017A&A...605A..70D>`__

#. Weaver, J. R., Kauffmann, O. B., Ilbert, O., et al. (2022).
   *COSMOS2020: A Panchromatic View of the Universe to z ∼ 10 from Two
   Complementary Catalogs.*
   ApJS 258, 11.
   `ADS <https://ui.adsabs.harvard.edu/abs/2022ApJS..258...11W>`__

#. Driver, S. P., Hill, D. T., Kelvin, L. S., et al. (2011).
   *Galaxy and Mass Assembly (GAMA): survey diagnostics and core data release.*
   MNRAS 413, 971.
   `ADS <https://ui.adsabs.harvard.edu/abs/2011MNRAS.413..971D>`__

#. Baldry, I. K., Driver, S. P., Loveday, J., et al. (2012).
   *Galaxy And Mass Assembly (GAMA): the galaxy stellar mass function at
   z < 0.06.*
   MNRAS 421, 621.
   `ADS <https://ui.adsabs.harvard.edu/abs/2012MNRAS.421..621B>`__

#. Loveday, J., Norberg, P., Baldry, I. K., et al. (2012).
   *Galaxy And Mass Assembly (GAMA): ugriz galaxy luminosity functions.*
   MNRAS 420, 1239.
   `ADS <https://ui.adsabs.harvard.edu/abs/2012MNRAS.420.1239L>`__

#. Farrow, D. J., Cole, S., Norberg, P., et al. (2015).
   *Galaxy and mass assembly (GAMA): projected galaxy clustering.*
   MNRAS 454, 2120.
   `ADS <https://ui.adsabs.harvard.edu/abs/2015MNRAS.454.2120F>`__

#. Hahn, C., Kwon, K. J., Tojeiro, R., et al. (2023).
   *The DESI Bright Galaxy Survey: Final Target Selection, Design, and
   Validation.*
   AJ 165, 253.
   `ADS <https://ui.adsabs.harvard.edu/abs/2023AJ....165..253H>`__

----

k-nearest-neighbor statistics
-------------------------------

These papers motivate and define the kNN-CDF estimators in :mod:`sum_stat.knn`.

#. Banerjee, A. & Abel, T. (2021).
   *Nearest neighbour distributions: new statistical tools for cosmological
   analysis.*
   MNRAS 500, 5479.
   `ADS <https://ui.adsabs.harvard.edu/abs/2021MNRAS.500.5479B>`__

----

Theoretical background — textbooks and review papers
------------------------------------------------------

Essential references for the theoretical framework underlying all estimators.

#. Peebles, P. J. E. (1980).
   *The Large-Scale Structure of the Universe.*
   Princeton University Press.
   `ADS <https://ui.adsabs.harvard.edu/abs/1980lssu.book.....P>`__

#. Peebles, P. J. E. (1993).
   *Principles of Physical Cosmology.*
   Princeton University Press.
   `ADS <https://ui.adsabs.harvard.edu/abs/1993ppc..book.....P>`__

#. Martínez, V. J. & Saar, E. (2002).
   *Statistics of the Galaxy Distribution.*
   Chapman & Hall/CRC.
   `ADS <https://ui.adsabs.harvard.edu/abs/2002sgd..book.....M>`__

#. Navarro, J. F., Frenk, C. S. & White, S. D. M. (1996).
   *The Structure of Cold Dark Matter Halos.*
   ApJ 462, 563.
   `ADS <https://ui.adsabs.harvard.edu/abs/1996ApJ...462..563N>`__

#. Navarro, J. F., Frenk, C. S. & White, S. D. M. (1997).
   *A Universal Density Profile from Hierarchical Clustering.*
   ApJ 490, 493.
   `ADS <https://ui.adsabs.harvard.edu/abs/1997ApJ...490..493N>`__

#. Cooray, A. & Sheth, R. (2002).
   *Halo Models of Large Scale Structure.*
   Phys Rep 372, 1. Standard review of the halo model framework.
   `ADS <https://ui.adsabs.harvard.edu/abs/2002PhR...372....1C>`__

#. Berlind, A. A. & Weinberg, D. H. (2002).
   *The Halo Occupation Distribution and the Physics of Galaxy Formation.*
   ApJ 575, 587. Introduced the halo occupation distribution (HOD) framework.
   `ADS <https://ui.adsabs.harvard.edu/abs/2002ApJ...575..587B>`__

#. Zheng, Z., Berlind, A. A., Weinberg, D. H., et al. (2005).
   *Theoretical Models of the Halo Occupation Distribution: Separating Central
   and Satellite Galaxies.*
   ApJ 633, 791. Standard five-parameter HOD parameterisation.
   `ADS <https://ui.adsabs.harvard.edu/abs/2005ApJ...633..791Z>`__