Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets | Paper Citation Record

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This paper cites Eisenstein and Idit Zehavi and David W.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Eisenstein and Idit Zehavi and David W

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This paper cites 2007 , title =.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2007 , title =

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This paper cites 2011 , title =.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2011 , title =

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 1991 , title =

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This paper cites Halo models of large scale structure , journal =.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Halo models of large scale structure , journal =

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This paper cites The Astrophysical Journal , abstract =.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets The Astrophysical Journal , abstract =

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This paper cites and Hamilton, Andrew J.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets and Hamilton, Andrew J

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This paper cites Monthly Notices of the Royal Astronomical Society , keywords =.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Monthly Notices of the Royal Astronomical Society , keywords =

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This paper cites Response function of the large-scale structure of the universe to the small scale inhomogeneities , journal =.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Response function of the large-scale structure of the universe to the small scale inhomogeneities , journal =

Reference 9

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Observation f386c184-17d7-40f8-bbc3-887ed6d37909 · outbound

This paper cites Primordial Non-Gaussianities from Inflation Models.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Primordial Non-Gaussianities from Inflation Models

Reference 10

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Unresolved cited work

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This paper cites 2016 , title =.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2016 , title =

Reference 12

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This paper cites 2020 , title =.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2020 , title =

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This paper cites Cylinders out of a top hat: counts-in-cells for projected densities.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Cylinders out of a top hat: counts-in-cells for projected densities

Reference 14

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Observation 6ec8c892-c8b0-4d80-a82d-4fbec7fede7d · outbound

This paper cites Primordial non-Gaussianity without tails -- how to measure fNL with the bulk of the density PDF.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Primordial non-Gaussianity without tails -- how to measure fNL with the bulk of the density PDF

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets It takes two to know one: Computing accurate one-point PDF covariances from effective two-point PDF models

Reference 16

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This paper cites The Variance and Covariance of Counts-in-Cells Probabilities.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets The Variance and Covariance of Counts-in-Cells Probabilities

Reference 17

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This paper cites A question of separation: disentangling tracer bias and gravitational nonlinearity with counts-in-cells statistics.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets A question of separation: disentangling tracer bias and gravitational nonlinearity with counts-in-cells statistics

Reference 18

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Observation f8947250-2efb-4621-88a5-50bc6dd96d61 · outbound

This paper cites Cosmic Error and the Statistics of Large Scale Structure.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Cosmic Error and the Statistics of Large Scale Structure

Reference 19

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This paper cites Cosmological Density Fluctuations on 100Mpc Scales and their ISW Effect.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Cosmological Density Fluctuations on 100Mpc Scales and their ISW Effect

Reference 20

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This paper cites The Astrophysical Journal , keywords =.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets The Astrophysical Journal , keywords =

Reference 21

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This paper cites Density split statistics: joint model of counts and lensing in cells.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Density split statistics: joint model of counts and lensing in cells

Reference 22

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This paper cites 2022 , title =.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2022 , title =

Reference 23

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Variance

Reference 24

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This paper cites On the inadequacy of N-point correlation functions to describe nonlinear cosmological fields: explicit examples and connection to simulations.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets On the inadequacy of N-point correlation functions to describe nonlinear cosmological fields: explicit examples and connection to simulations

Reference 25

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Properties of the Cosmological Density Distribution Function

Reference 26

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets A Count Probability Cookbook: Spurious Effects and the Scaling Model

Reference 27

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets and Arnalte-Mur, Pablo and Pons-Bordería, María-Jesús and Pareja-Flores, Cristóbal and Paredes, Silvestre , journal =

Reference 29

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This paper cites 2020 , title =.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2020 , title =

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2016 , title =

Reference 31

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This paper cites 2018 , title =.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2018 , title =

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets and Friedrich, Oliver and Harnois-Déraps, Joachim and Schneider, Peter and Asgari, Marika and Bilicki, Maciej and Hildebrandt, Hendrik and Wright, Angus H

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2023 , title =

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2000 , title =

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets , date-added =

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets , date-added =

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets and Ruzmaikin, A.A

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets , journal =

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2008 , title =

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Dynamics of gravitational clustering III. The quasi-linear regime for some non-Gaussian initial conditions

Reference 41

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Hunting high and low: Disentangling primordial and late-time non-Gaussianity with cosmic densities in spheres

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Physical Review D , volume =

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2022 , title =

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Bernardeau and S

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2000 , title =

Reference 47

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2018 , title =

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Unresolved cited work

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2023 , title =

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2022 , title =

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Cosmological constraints from neighbor-density-weighted marked correlation functions

Reference 53

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2000 , title =

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets and Kerscher, M

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets and Mota, David F

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets and Hoyle, Ben and Kim, Juhan and Li, Xiao-Dong , journal =

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2016 , title =

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2019 , title =

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Unresolved cited work

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets and Cuesta-Lazaro, Carolina and Devi, N

Reference 62

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Using the Marked Power Spectrum to Detect the Signature of Neutrinos in Large-Scale Structure

Reference 63

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets and Forero-Romero, Jaime and Huang, Yuanzhu and Lai, Limin and Qian, Qiyue and Zheng, Yi and Li, Xiao-Dong , journal =

Reference 64

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This paper cites 2018 , title =.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2018 , title =

Reference 65

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2010 , title =

Reference 66

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets and Sheth, Ravi K

Reference 67

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets and Durkalec, A

Reference 68

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This paper cites 2018 , title =.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2018 , title =

Reference 69

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2015 , title =

Reference 70

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This paper cites 2018 , title =.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2018 , title =

Reference 73

Resolution: verified exact; doi, observed 2026-07-30T20:56:38.308964Z

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2023 , title =

Reference 74

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets , journal =

Reference 75

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This paper cites and Durkalec, A.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets and Durkalec, A

Reference 76

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Observation bd5e808c-9ed6-4202-b033-0d14916d793f · outbound

This paper cites 2020 , title =.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 2020 , title =

Reference 77

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Measuring galaxy segregation using the mark connection function

Reference 78

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Astronomy & Astrophysics , keywords =

Reference 79

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Cosmology with cosmic web environments I. Real-space power spectra

Reference 80

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Astronomy & Astrophysics , keywords =

Reference 81

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Astronomy & Astrophysics , keywords =

Reference 82

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets The Astrophysical Journal , keywords =

Reference 83

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets The Astrophysical Journal , keywords =

Reference 84

Resolution: verified exact; doi, observed 2026-07-30T20:56:38.237035Z

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets The cross-correlation between galaxies of different luminosities and Colors

Reference 85

Resolution: unresolved; no resolver link, observed 2026-07-30T20:54:13.711720Z

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Stellar Mass and color dependence of the three-point correlation function of galaxies in the local universe

Reference 86

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Monthly Notices of the Royal Astronomical Society , volume =

Reference 87

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Cosmological constraints from density-split clustering in the BOSS CMASS galaxy sample

Reference 88

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This paper cites Monthly Notices of the Royal Astronomical Society , volume =.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Monthly Notices of the Royal Astronomical Society , volume =

Reference 89

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Observation 27df151b-7e73-44c6-9a41-e5b1f033e2a7 · outbound

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets 10.1051/0004-6361/202142852

Reference 90

Resolution: verified exact; doi, observed 2026-07-30T20:56:38.197464Z

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Observation 9415c4b4-8973-4e32-bd95-cbd6c069cc6b · outbound

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets SUNBIRD: A simulation-based model for full-shape density-split clustering

Reference 91

Resolution: unresolved; no resolver link, observed 2026-07-30T20:54:13.736817Z

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Observation 9117a200-c0f4-4159-9791-80fee177aba1 · outbound

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Monthly Notices of the Royal Astronomical Society , keywords =

Reference 92

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets and Villaescusa-Navarro, Francisco and Massara, Elena and Liu, Jia and Spergel, David N

Reference 94

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Clipping the Cosmos: The Bias and Bispectrum of Large Scale Structure

Reference 95

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Clipping the Cosmos II: Cosmological information from non-linear scales

Reference 96

Resolution: unresolved; no resolver link, observed 2026-07-30T20:54:13.753995Z

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Density-dependent clustering: I. Pulling back the curtains on motions of the BAO peak

Reference 97

Resolution: unresolved; no resolver link, observed 2026-07-30T20:54:13.757309Z

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets What determines large scale galaxy clustering: halo mass or local density?

Reference 98

Resolution: unresolved; no resolver link, observed 2026-07-30T20:54:13.760724Z

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets and Codis, S

Reference 99

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Observation dc00c076-f6e0-4e8a-9a3a-3f23956ca0ac · outbound

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Physical Review D , volume =

Reference 100

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Monthly Notices of the Royal Astronomical Society , volume =

Reference 101

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Observation 6a577ba2-0ad6-4f1f-b72d-644d2ae2e528 · outbound

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Inflation: Theory and Observations

Reference 102

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Primordial Non-Gaussianity

Reference 103

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Galaxies , VOLUME =

Reference 104

Resolution: unresolved; no resolver link, observed 2026-07-30T20:54:13.781552Z

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Large-scale Bias and Efficient Generation of Initial Conditions for Non-Local Primordial Non-Gaussianity

Reference 105

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Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Physical Review D , volume =

Reference 106

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This paper cites Physical Review D , volume =.

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets Physical Review D , volume =

Reference 107

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