TheHaloMod: An online calculator for the halo model
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[1] Chris Power,et al. HMFcalc: An online tool for calculating dark matter halo mass functions , 2013, Astron. Comput..
[2] S. Kay,et al. Dark matter halo concentrations in the Wilkinson Microwave Anisotropy Probe year 5 cosmology , 2008, 0804.2486.
[3] Michael S. Warren,et al. Toward a Halo Mass Function for Precision Cosmology: The Limits of Universality , 2008, 0803.2706.
[4] G. Bryan,et al. Statistical Properties of X-Ray Clusters: Analytic and Numerical Comparisons , 1997, astro-ph/9710107.
[5] B. Garilli,et al. The galaxy-halo connection from a joint lensing, clustering and abundance analysis in the CFHTLenS/VIPERS field , 2015, 1502.02867.
[6] R. Nichol,et al. Galaxy–galaxy lensing in the Dark Energy Survey Science Verification data , 2015, Monthly Notices of the Royal Astronomical Society.
[7] D. P. Schneider,et al. The Luminosity and Color Dependence of the Galaxy Correlation Function , 2005 .
[8] J. Einasto. On the Construction of a Composite Model for the Galaxy and on the Determination of the System of Galactic Parameters , 1965 .
[9] C. Blake,et al. Intensity mapping cross-correlations II: HI halo models including shot noise , 2018, Monthly Notices of the Royal Astronomical Society.
[10] E. Bertschinger,et al. Statistics of Primordial Density Perturbations from Discrete Seed Masses , 1991 .
[11] M. White,et al. Multi-tracer intensity mapping: cross-correlations, line noise & decorrelation , 2021, Journal of Cosmology and Astroparticle Physics.
[12] S. Giri,et al. Halo model approach for the 21-cm power spectrum at cosmic dawn , 2020, 2011.12308.
[13] A. Lapi,et al. Statistics of dark matter halos in the excursion set peak framework , 2014, 1407.1137.
[14] Y. Jing,et al. ACCURATE UNIVERSAL MODELS FOR THE MASS ACCRETION HISTORIES AND CONCENTRATIONS OF DARK MATTER HALOS , 2008, 0811.0828.
[15] Nonlinear clustering in models with primordial non-Gaussianity: The halo model approach , 2011 .
[16] Michal Maciejewski,et al. Haloes gone MAD: The Halo-Finder Comparison Project , 2011, 1104.0949.
[17] Linear and non-linear contributions to pairwise peculiar velocities , 2000, astro-ph/0009167.
[18] S. White,et al. The mass–concentration–redshift relation of cold dark matter haloes , 2013, 1312.0945.
[19] Concentrations of Dark Halos from Their Assembly Histories , 2001, astro-ph/0108151.
[20] Michael S. Warren,et al. THE LARGE-SCALE BIAS OF DARK MATTER HALOS: NUMERICAL CALIBRATION AND MODEL TESTS , 2010, 1001.3162.
[21] R. Sheth,et al. Bias deconstructed: unravelling the scale dependence of halo bias using real-space measurements , 2013, 1305.5830.
[22] U. Seljak,et al. Halo Zel’dovich model and perturbation theory: Dark matter power spectrum and correlation function , 2015, 1501.07512.
[23] M. Manera,et al. Large-scale bias and the inaccuracy of the peak-background split , 2009, 0906.1314.
[24] R. Smith,et al. Testing the Warm Dark Matter paradigm with large-scale structures , 2011, 1103.2134.
[25] A. D. Bray,et al. DARK MATTER HALO MODELS OF STELLAR MASS-DEPENDENT GALAXY CLUSTERING IN PRIMUS+DEEP2 AT 0.2 < z < 1.2 , 2015, 1503.00731.
[26] M. Kuhlen,et al. The Origin of Dark Matter Halo Profiles , 2010, 1010.2539.
[27] Dark matter and cosmic structure , 2012, 1210.0544.
[28] C. Blake,et al. The Gigaparsec WiggleZ simulations: characterizing scale-dependant bias and associated systematics in growth of structure measurements , 2014, 1407.0390.
[29] A. Myers,et al. CROSS-CORRELATION OF SDSS DR7 QUASARS AND DR10 BOSS GALAXIES: THE WEAK LUMINOSITY DEPENDENCE OF QUASAR CLUSTERING AT z ∼ 0.5 , 2012, 1212.4526.
[30] Matias Zaldarriaga,et al. CMBFAST for Spatially Closed Universes , 1999, astro-ph/9911219.
[31] Klaus Dolag,et al. Baryon impact on the halo mass function: Fitting formulae and implications for cluster cosmology , 2015, 1502.07357.
[32] A. Leauthaud,et al. A THEORETICAL FRAMEWORK FOR COMBINING TECHNIQUES THAT PROBE THE LINK BETWEEN GALAXIES AND DARK MATTER , 2011, 1103.2077.
[33] William H. Press,et al. Formation of Galaxies and Clusters of Galaxies by Self-Similar Gravitational Condensation , 1974 .
[34] Naoshi Sugiyama. Cosmic background anistropies in CDM cosmology , 1994 .
[35] J. Peacock. Testing anthropic predictions for Lambda and the cosmic microwave background temperature , 2007, 0705.0898.
[36] F. Prada,et al. MultiDark simulations: the story of dark matter halo concentrations and density profiles , 2014, 1411.4001.
[37] James E. Taylor. Dark Matter Halos from the Inside Out , 2010, 1008.4103.
[38] Ravi Sheth,et al. Halo Models of Large Scale Structure , 2002, astro-ph/0206508.
[39] R. Sheth,et al. On the streaming motions of haloes and galaxies , 2000, astro-ph/0010137.
[40] Gaël Varoquaux,et al. The NumPy Array: A Structure for Efficient Numerical Computation , 2011, Computing in Science & Engineering.
[41] Shot noise and biased tracers: A new look at the halo model , 2017, 1706.08738.
[42] Wayne Hu,et al. Baryonic Features in the Matter Transfer Function , 1997, astro-ph/9709112.
[43] A. Lewis,et al. Efficient computation of CMB anisotropies in closed FRW models , 1999, astro-ph/9911177.
[44] Chung-Pei Ma,et al. Deriving the Nonlinear Cosmological Power Spectrum and Bispectrum from Analytic Dark Matter Halo Profiles and Mass Functions , 2000, astro-ph/0003343.
[45] Katrin Heitmann,et al. MASS FUNCTION PREDICTIONS BEYOND ΛCDM , 2010, 1005.2239.
[46] Jerzy Neyman,et al. On the Spatial Distribution of Galaxies: a Specific Model. , 1953 .
[47] Steven G. Murray,et al. hankel: A Python library for performing simple and accurate Hankel transformations , 2019, J. Open Source Softw..
[48] O. Hahn,et al. Halo mass function and scale-dependent bias from N-body simulations with non-Gaussian initial conditions , 2008, 0811.4176.
[49] Prasanth H. Nair,et al. Astropy: A community Python package for astronomy , 2013, 1307.6212.
[50] Takahiro Nishimichi,et al. REVISING THE HALOFIT MODEL FOR THE NONLINEAR MATTER POWER SPECTRUM , 2012, 1208.2701.
[51] R. Smith,et al. Halo mass function and the free streaming scale , 2013, 1303.0839.
[52] S. Habib,et al. DARK MATTER HALO PROFILES OF MASSIVE CLUSTERS: THEORY VERSUS OBSERVATIONS , 2011, 1112.5479.
[53] F. V. D. Bosch. The universal mass accretion history of cold dark matter haloes , 2001, astro-ph/0105158.
[54] R. Maartens,et al. The effect of finite halo size on the clustering of neutral hydrogen , 2021, Journal of Cosmology and Astroparticle Physics.
[55] S. More,et al. THE OVERDENSITY AND MASSES OF THE FRIENDS-OF-FRIENDS HALOS AND UNIVERSALITY OF HALO MASS FUNCTION , 2011, 1103.0005.
[56] J. Frieman,et al. Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances, Weak Lensing, and Galaxy Correlations. , 2020, Physical review letters.
[57] The clustering of Hα emitters at ɀ=2.23 from HiZELS , 2012 .
[58] C. Giocoli,et al. Formation times, mass growth histories and concentrations of dark matter haloes , 2011, 1111.6977.
[59] U. Seljak. Analytic model for galaxy and dark matter clustering , 2000, astro-ph/0001493.
[60] J. R. Bond,et al. Excursion set mass functions for hierarchical Gaussian fluctuations , 1991 .
[61] S. More,et al. A redefinition of the halo boundary leads to a simple yet accurate halo model of large-scale structure , 2020, Monthly Notices of the Royal Astronomical Society.
[62] A. Dutton,et al. Cold dark matter haloes in the Planck era: evolution of structural parameters for Einasto and NFW profiles , 2014, 1402.7073.
[63] V. Morozov,et al. Halo Profiles and the Concentration–Mass Relation for a ΛCDM Universe , 2018, 1804.10199.
[64] A. Kravtsov,et al. ON DETERMINING THE SHAPE OF MATTER DISTRIBUTIONS , 2011, 1107.5582.
[65] Andrew R. Liddle,et al. Cosmological Inflation and Large-Scale Structure , 2000 .
[66] F. Castander,et al. An algorithm to build mock galaxy catalogues using MICE simulations , 2014, 1411.3286.
[67] A. Kravtsov,et al. A UNIVERSAL MODEL FOR HALO CONCENTRATIONS , 2014, 1407.4730.
[68] J. Schaye,et al. The accretion history of dark matter haloes - III. A physical model for the concentration-mass relation , 2015, 1502.00391.
[69] R. Sheth,et al. Excursion set peaks: a self-consistent model of dark halo abundances and clustering , 2012, 1210.1483.
[70] C. Medaglia,et al. A Numerical Study , 2005 .
[71] M. Blanton,et al. COSMOLOGICAL CONSTRAINTS FROM GALAXY CLUSTERING AND THE MASS-TO-NUMBER RATIO OF GALAXY CLUSTERS: MARGINALIZING OVER THE PHYSICS OF GALAXY FORMATION , 2013, 1306.4686.
[72] S. More,et al. THE PSEUDO-EVOLUTION OF HALO MASS , 2012, 1207.0816.
[73] Theoretical Models of the Halo Occupation Distribution: Separating Central and Satellite Galaxies , 2004, astro-ph/0408564.
[74] J. Lesgourgues,et al. The Cosmic Linear Anisotropy Solving System (CLASS). Part II: Approximation schemes , 2011, 1104.2933.
[75] A. Amara,et al. A halo model for cosmological neutral hydrogen : abundances and clustering , 2016, 1611.06235.
[76] D. Wake,et al. The clustering of radio galaxies at z≃ 0.55 from the 2SLAQ LRG survey , 2008, 0810.1050.
[77] A. Bolton,et al. The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: modelling the clustering and halo occupation distribution of BOSS CMASS galaxies in the Final Data Release , 2015, 1509.06404.
[78] J. Brownstein,et al. THE WEAK LENSING SIGNAL AND THE CLUSTERING OF BOSS GALAXIES. II. ASTROPHYSICAL AND COSMOLOGICAL CONSTRAINTS , 2014, 1407.1856.
[79] Hidenori Ogata,et al. A Numerical Integration Formula Based on the Bessel Functions , 2005 .
[80] J. Lesgourgues,et al. The Cosmic Linear Anisotropy Solving System (CLASS) I: Overview , 2011, 1104.2932.
[81] H. M. P. Couchman,et al. The mass function of dark matter haloes , 2000, astro-ph/0005260.
[82] C. Giocoli,et al. Halo model description of the non-linear dark matter power spectrum at k≫ 1 Mpc−1 , 2010, 1003.4740.
[83] D. Nelson Limber,et al. The Analysis of Counts of the Extragalactic Nebulae in Terms of a Fluctuating Density Field. II , 1953 .
[84] L. Moustakas,et al. The Masses, Ancestors, and Descendants of Extremely Red Objects: Constraints from Spatial Clustering , 2001, astro-ph/0110584.
[85] Kendrick M. Smith,et al. Characterizing fast radio bursts through statistical cross-correlations , 2019, 1912.09520.
[86] A. Schneider. Structure formation with suppressed small-scale perturbations , 2014, 1412.2133.
[87] C. Baugh,et al. The clustering of Hα emitters at z = 2.23 from HiZELS , 2012 .
[88] John D. Hunter,et al. Matplotlib: A 2D Graphics Environment , 2007, Computing in Science & Engineering.
[89] P. Tiwari,et al. THE CLUSTERING OF RADIO GALAXIES: BIASING AND EVOLUTION VERSUS STELLAR MASS , 2015, 1505.06817.
[90] Non-linear evolution of cosmological structures in warm dark matter models , 2011, 1112.0330.
[91] F. Beutler,et al. The 6dF Galaxy Survey: dependence of halo occupation on stellar mass , 2012, 1212.3610.
[92] Fast edge-corrected measurement of the two-point correlation function and the power spectrum , 2005, astro-ph/0505389.
[93] J. Brinkmann,et al. The environmental dependence of the relations between stellar mass, structure, star formation and nuclear activity in galaxies , 2004, astro-ph/0402030.
[94] C. Baugh,et al. How robust are predictions of galaxy clustering , 2013, 1301.3497.
[95] M. Steinmetz,et al. The Power Spectrum Dependence of Dark Matter Halo Concentrations , 2000, astro-ph/0012337.
[96] Galaxy-galaxy lensing : dissipationless simulations versus the halo model , 2004, astro-ph/0410711.
[97] Christopher D. Martin,et al. Halo occupation distribution modelling of green valley galaxies , 2012, 1208.6139.
[98] S. White,et al. The mass profile and accretion history of cold dark matter haloes , 2013, 1302.0288.
[99] Tristan L. Smith,et al. NEW CONSTRAINTS ON THE EVOLUTION OF THE STELLAR-TO-DARK MATTER CONNECTION: A COMBINED ANALYSIS OF GALAXY–GALAXY LENSING, CLUSTERING, AND STELLAR MASS FUNCTIONS FROM z = 0.2 to z = 1 , 2011, 1104.0928.
[100] Numerical study of halo concentrations in dark-energy cosmologies , 2003, astro-ph/0309771.
[101] I. Achitouv,et al. Excursion set halo mass function and bias in a stochastic barrier model of ellipsoidal collapse , 2011, 1107.1251.
[102] Y. Jing,et al. Triaxial Modeling of Halo Density Profiles with High-Resolution N-Body Simulations , 2002, astro-ph/0202064.
[103] THE EXCURSION SET THEORY OF HALO MASS FUNCTIONS, HALO CLUSTERING, AND HALO GROWTH , 2006, astro-ph/0611454.
[104] Constraining warm dark matter candidates including sterile neutrinos and light gravitinos with WMAP and the Lyman-{alpha} forest , 2005, astro-ph/0501562.
[105] R. Wechsler,et al. THE AVERAGE STAR FORMATION HISTORIES OF GALAXIES IN DARK MATTER HALOS FROM z = 0–8 , 2012, 1207.6105.
[106] How accurate is Limber's equation? , 2006, astro-ph/0609165.
[107] C. Baugh,et al. The Halo Occupation Distribution and the Physics of Galaxy Formation , 2002, astro-ph/0212357.
[108] S. Cole,et al. The mass–concentration–redshift relation of cold and warm dark matter haloes , 2016, 1601.02624.
[109] J. Brinkmann,et al. Galaxy halo masses and satellite fractions from galaxy–galaxy lensing in the Sloan Digital Sky Survey: stellar mass, luminosity, morphology and environment dependencies , 2005, astro-ph/0511164.
[110] Y. Jing,et al. Accurate Fitting Formula for the Two-Point Correlation Function of Dark Matter Halos , 1998, astro-ph/9805202.
[111] J. Comparat,et al. Accurate mass and velocity functions of dark matter haloes , 2017, 1702.01628.
[112] M. White,et al. The Halo Model and Numerical Simulations , 2000, astro-ph/0012518.
[113] Chris Power,et al. How well do we know the halo mass function , 2013, 1306.5140.
[114] O. Lahav,et al. On combining galaxy clustering and weak lensing to unveil galaxy biasing via the halo model , 2012, 1203.2616.
[115] R. Nichol,et al. GALAXY CLUSTERING IN THE COMPLETED SDSS REDSHIFT SURVEY: THE DEPENDENCE ON COLOR AND LUMINOSITY , 2010, 1005.2413.
[116] M. Maggiore,et al. The bias and mass function of dark matter haloes in non-Markovian extension of the excursion set theory , 2010, 1007.4201.
[117] J. Tinker,et al. On the Mass-to-Light Ratio of Large-Scale Structure , 2004, astro-ph/0411777.
[118] H. Hoekstra,et al. Unveiling galaxy bias via the halo model, KiDS, and GAMA , 2018, Monthly Notices of the Royal Astronomical Society.
[119] E. Rykoff,et al. Combination of cluster number counts and two-point correlations: validation on mock Dark Energy Survey , 2020, 2008.10757.
[120] Frank C. van den Bosch,et al. Concentration, spin and shape of dark matter haloes as a function of the cosmological model: WMAP1, WMAP3 and WMAP5 results , 2008, 0805.1926.
[121] Joel Nothman,et al. SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python , 2019, ArXiv.
[122] O. Lahav,et al. Halo-model signatures from 380 000 Sloan Digital Sky Survey luminous red galaxies with photometric redshifts , 2007, 0704.3377.
[123] S. More,et al. Cosmological inference from an emulator based halo model. I. Validation tests with HSC and SDSS mock catalogs , 2020, Physical Review D.
[124] B. Jain,et al. How Many Galaxies Fit in a Halo? Constraints on Galaxy Formation Efficiency from Spatial Clustering , 2000, astro-ph/0006319.
[125] Miguel de Val-Borro,et al. The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package , 2018, The Astronomical Journal.
[126] Benedikt Diemer,et al. COLOSSUS: A Python Toolkit for Cosmology, Large-scale Structure, and Dark Matter Halos , 2017, The Astrophysical Journal Supplement Series.
[127] C. A. Oxborrow,et al. Planck2015 results , 2015, Astronomy & Astrophysics.
[128] Masakazu A. R. Kobayashi,et al. The ν2GC simulations: Quantifying the dark side of the universe in the Planck cosmology , 2014, 1412.2860.
[129] Zheng Zheng,et al. Accurate and efficient halo-based galaxy clustering modelling with simulations , 2015, 1506.07523.
[130] J. Peacock,et al. Halo occupation numbers and galaxy bias , 2000, astro-ph/0005010.
[131] L. Hernquist,et al. An Analytical Model for Spherical Galaxies and Bulges , 1990 .
[132] Andrew P. Hearin,et al. The scale-dependence of halo assembly bias , 2015, 1509.06417.
[133] R. Somerville,et al. Profiles of dark haloes: evolution, scatter and environment , 1999, astro-ph/9908159.
[134] J. Peacock,et al. Stable clustering, the halo model and non-linear cosmological power spectra , 2002, astro-ph/0207664.
[135] Uros Seljak Michael S. Warren. Large‐scale bias and stochasticity of haloes and dark matter , 2004, astro-ph/0403698.
[136] Interpreting the Observed Clustering of Red Galaxies at z ~ 3 , 2003, astro-ph/0307030.
[137] Ravi K. Sheth Giuseppe Tormen. Large scale bias and the peak background split , 1999 .
[138] A. Szalay,et al. The statistics of peaks of Gaussian random fields , 1986 .
[139] Y. Jing. Accurate Determination of the Lagrangian Bias for the Dark Matter Halos , 1999, astro-ph/9901138.
[140] Yipeng Jing,et al. The growth and structure of dark matter haloes , 2003 .
[141] R. Skibba,et al. A halo model of galaxy colours and clustering in the Sloan Digital Sky Survey , 2008, 0805.0310.
[142] S. White,et al. An analytic model for the spatial clustering of dark matter haloes , 1995, astro-ph/9512127.
[143] S. Cole,et al. Biased clustering in the cold dark matter cosmogony , 1989 .
[144] J. R. Bond,et al. Cosmic background radiation anisotropies in universes dominated by nonbaryonic dark matter , 1984 .
[145] B. Altieri,et al. The Uchuu simulations: Data Release 1 and dark matter halo concentrations , 2020, 2007.14720.
[146] G. Lake,et al. Resolving the Structure of Cold Dark Matter Halos , 1997, astro-ph/9709051.
[147] S. More. COSMOLOGICAL DEPENDENCE OF THE MEASUREMENTS OF LUMINOSITY FUNCTION, PROJECTED CLUSTERING AND GALAXY–GALAXY LENSING SIGNAL , 2013, 1309.2943.
[148] Leicester,et al. The spatial distribution of cold gas in hierarchical galaxy formation models , 2010, 1003.0008.
[149] R. Wechsler,et al. Galaxy halo occupation at high redshift , 2001, astro-ph/0106293.
[150] Durham,et al. Dark matter halo merger histories beyond cold dark matter – I. Methods and application to warm dark matter , 2012, 1209.3018.
[151] Ilian T. Iliev,et al. The halo mass function through the cosmic ages , 2012, 1212.0095.
[152] B. Diemer,et al. An Accurate Physical Model for Halo Concentrations , 2018, The Astrophysical Journal.
[153] S. White,et al. A Universal Density Profile from Hierarchical Clustering , 1996, astro-ph/9611107.
[154] G. Kauffmann,et al. Galaxy formation and large scale bias , 1995, astro-ph/9512009.