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Cosmological distance forecasts for the CSST Galaxy Survey using BAO peaks

Cosmology and Nongalactic Astrophysics · Submitted 15 Jan 2025

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim We also study the ability to measure parameters $(\Omega_m, H_0r_\mathrm{d})$ using distance measurements, proving robust constraints as a cosmological probe under CSST-like redshift uncertainties.

how it is stated · asserted 1.00 read the record →

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arXiv ID2501.08503 (version 1)
Pith ID6RYFH5WE, Pith's permanent record of this paper and its review
CitationCheng Li, Christoph Saulder, Feng Shi, Gong-Bo Zhao, Hong Guo, Hu Zhan, Hu Zou, Jieyi Tian, Jipeng Sui, Ming Li, Pengjie Zhang, Run Wen, Xianzhong Zheng, Xiaohu Yang, Xiaolei Li, Xiaoping Li, Xingchen Zhou, Yan Gong, Yanming Liu, Yipeng Jing, Yizhou Gu, Yunkun Han, Zhejie Ding, Zitong Wang. "Cosmological distance forecasts for the CSST Galaxy Survey using BAO peaks." arXiv:2501.08503 (2025). https://pith.science/paper/6RYFH5WE
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 7,918 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.76 · human participants 0.01 · controlled comparison 0.47 · randomized assignment 0.01 · states quantitative result 0.98 · compares with prior results 0.86 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

The measurement of cosmological distances using baryon acoustic oscillations (BAO) is crucial for studying the universe's expansion. The Chinese Space Station Telescope (CSST) galaxy redshift survey, with its vast volume and sky coverage, provides an opportunity to address key challenges in cosmology. However, redshift uncertainties in galaxy surveys can degrade both angular and radial distance estimates. In this study, we forecast the precision of BAO distance measurements using mock CSST galaxy samples, applying a two-point correlation function (2PCF) wedge approach to mitigate redshift errors. We simulate redshift uncertainties of $\sigma_0 = 0.003$ and $\sigma_0 = 0.006$, representative of expected CSST errors, and examine their effects on the BAO peak and distance scaling factors, $\alpha_\perp$ and $\alpha_\parallel$, across redshift bins within $0.0 < z \leqslant 1.0$. The wedge 2PCF method proves more effective in detecting the BAO peak compared to the monopole 2PCF, particularly for $\sigma_0 = 0.006$. Constraints on the BAO peaks show that $\alpha_\perp$ is well constrained around 1.0, regardless of $\sigma_0$, with precision between 1% and 3% across redshift bins. In contrast, $\alpha_\parallel$ measurements are more sensitive to increases in $\sigma_0$. For $\sigma_0 = 0.003$, the results remain close to the fiducial value, with uncertainties ranging between 4% and 9%; for $\sigma_0 = 0.006$, significant deviations from the fiducial value are observed. We also study the ability to measure parameters $(\Omega_m, H_0r_\mathrm{d})$ using distance measurements, proving robust constraints as a cosmological probe under CSST-like redshift uncertainties.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 The measurement of cosmological distances using baryon acoustic oscillations (BAO) is crucial for studying the universe's expansion. background 1.00 0.04 0.02 asserted 1.00
s1 The Chinese Space Station Telescope (CSST) galaxy redshift survey, with its vast volume and sky coverage, provides an opportunity to address key challenges in cosmology. background 0.89 0.07 0.02 asserted 0.79
s2 However, redshift uncertainties in galaxy surveys can degrade both angular and radial distance estimates. background 0.80 0.06 0.02 hedged possibility 0.66
s3 In this study, we forecast the precision of BAO distance measurements using mock CSST galaxy samples, applying a two-point correlation function (2PCF) wedge approach to mitigate redshift errors. contribution 0.81 0.95 0.10 asserted 0.89
s4 We simulate redshift uncertainties of $\sigma_0 = 0.003$ and $\sigma_0 = 0.006$, representative of expected CSST errors, and examine their effects on the BAO peak and distance scaling factors, $\alpha_\perp$ and $\alpha_\parallel$, across redshift bins within $0.0 < z \leqslant 1.0$. method 0.97 0.95 0.05 asserted 0.93
s5 The wedge 2PCF method proves more effective in detecting the BAO peak compared to the monopole 2PCF, particularly for $\sigma_0 = 0.006$. result 1.00 0.94 0.17 asserted 1.00
s6 Constraints on the BAO peaks show that $\alpha_\perp$ is well constrained around 1.0, regardless of $\sigma_0$, with precision between 1% and 3% across redshift bins. result 1.00 0.92 0.18 asserted 1.00
s7 In contrast, $\alpha_\parallel$ measurements are more sensitive to increases in $\sigma_0$. result 0.96 0.84 0.11 asserted 1.00
s8 For $\sigma_0 = 0.003$, the results remain close to the fiducial value, with uncertainties ranging between 4% and 9%; for $\sigma_0 = 0.006$, significant deviations from the fiducial value are observed. result 1.00 0.96 0.19 asserted 1.00
s9 We also study the ability to measure parameters $(\Omega_m, H_0r_\mathrm{d})$ using distance measurements, proving robust constraints as a cosmological probe under CSST-like redshift uncertainties. result 0.77 0.94 0.41 asserted 1.00

What kind of paper the classifier reports this is: simulation study 1.00 · evidence from simulation or computation 1.00.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

The measurement of cosmological distances using baryon acoustic oscillations (BAO) is crucial for studying the universe's expansion. The Chinese Space Station Telescope (CSST) galaxy redshift survey, with its vast volume and sky coverage, provides an opportunity to address key challenges in cosmology. However, redshift uncertainties in galaxy surveys can degrade both angular and radial distance estimates. In this study, we forecast the precision of BAO distance measurements using mock CSST galaxy samples, applying a two-point correlation function (2PCF) wedge approach to mitigate redshift errors. We simulate redshift uncertainties of $\sigma_0 = 0.003$ and $\sigma_0 = 0.006$, representative of expected CSST errors, and examine their effects on the BAO peak and distance scaling factors, $\alpha_\perp$ and $\alpha_\parallel$, across redshift bins within $0.0 < z \leqslant 1.0$. The wedge 2PCF method proves more effective in detecting the BAO peak compared to the monopole 2PCF, particularly for $\sigma_0 = 0.006$. Constraints on the BAO peaks show that $\alpha_\perp$ is well constrained around 1.0, regardless of $\sigma_0$, with precision between 1% and 3% across redshift bins. In contrast, $\alpha_\parallel$ measurements are more sensitive to increases in $\sigma_0$. For $\sigma_0 = 0.003$, the results remain close to the fiducial value, with uncertainties ranging between 4% and 9%; for $\sigma_0 = 0.006$, significant deviations from the fiducial value are observed. We also study the ability to measure parameters $(\Omega_m, H_0r_\mathrm{d})$ using distance measurements, proving robust constraints as a cosmological probe under CSST-like redshift uncertainties.

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How the literature uses it

2 arXiv papers cite this in 2 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 1 sentence without a confident label

Cites it as support 1 paper

What it cites · 5 sentences without a confident label

Uses data or values from 4 papers
Cites as background 4 papers
  • Upcoming and ongoing Stage IV spectroscopy surveys, including the Dark Energy Spectroscopic Instrument (DESI) [ref] , Euclid [ref] , 4-metre Multi-Object Spectroscopic Telescope (4MOST) [ref] , Prime Focus Spectrograph [ref] , and Wide Field Infrared Survey Telescope [ref] , aims to provide multiple sub-percent BAO distance measurements by observing galaxies over a broader redshift range and wider sky coverage.

    Euclid Definition Study Report · Introduction · 0.93

  • Upcoming and ongoing Stage IV spectroscopy surveys, including the Dark Energy Spectroscopic Instrument (DESI) [ref] , Euclid [ref] , 4-metre Multi-Object Spectroscopic Telescope (4MOST) [ref] , Prime Focus Spectrograph [ref] , and Wide Field Infrared Survey Telescope [ref] , aims to provide multiple sub-percent BAO distance measurements by observing galaxies over a broader redshift range and wider sky coverage.

    Wide-Field InfrarRed Survey Telescope-Astrophysics Focused Telescope Assets WFIRST-AFTA 2015 Report · Introduction · 0.93

  • Upcoming and ongoing Stage IV spectroscopy surveys, including the Dark Energy Spectroscopic Instrument (DESI) [ref] , Euclid [ref] , 4-metre Multi-Object Spectroscopic Telescope (4MOST) [ref] , Prime Focus Spectrograph [ref] , and Wide Field Infrared Survey Telescope [ref] , aims to provide multiple sub-percent BAO distance measurements by observing galaxies over a broader redshift range and wider sky coverage.

    The DESI Experiment Part I: Science,Targeting, and Survey Design · Introduction · 0.93

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