Forecasts for decaying dark matter from cross-correlation between line intensity mapping and large scale structures surveys

Abstract Axion-like particles (ALPs) are compelling candidates for dark matter with a broad range of possible masses and coupling strengths. These particles decay into two photons, contributing to cosmic background radiation, which may correlate with large-scale structure (LSS). ALPs with a mass around 1 eV decay into monochromatic photons in the near-infrared spectrum, which can be detected by the upcoming SPHEREx mission using line intensity mapping (LIM) technology. To search for ALP signals in SPHEREx, we calculate the cross angular power spectrum between the intensity maps and LSS probes. We employ several LSS probes, including galaxy clustering and weak lensing surveys conducted by the China Space Station Telescope (CSST), as well as CMB lensing performed by CMB-S4. Using a Fisher analysis, we place constraints on the ALP parameters, with uncertainties of $$\sigma (m_a) = 0.062$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>σ</mml:mi> <mml:mo>(</mml:mo> <mml:msub> <mml:mi>m</mml:mi> <mml:mi>a</mml:mi> </mml:msub> <mml:mo>)</mml:mo> <mml:mo>=</mml:mo> <mml:mn>0.062</mml:mn> </mml:mrow> </mml:math> and $$\sigma (g_{a\gamma \gamma }) = 0.19$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>σ</mml:mi> <mml:mo>(</mml:mo> <mml:msub> <mml:mi>g</mml:mi> <mml:mrow> <mml:mi>a</mml:mi> <mml:mi>γ</mml:mi> <mml:mi>γ</mml:mi> </mml:mrow> </mml:msub> <mml:mo>)</mml:mo> <mml:mo>=</mml:mo> <mml:mn>0.19</mml:mn> </mml:mrow> </mml:math> from the joint surveys. Our results suggest that the current bounds on $$g_{a\gamma \gamma }$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>g</mml:mi> <mml:mrow> <mml:mi>a</mml:mi> <mml:mi>γ</mml:mi> <mml:mi>γ</mml:mi> </mml:mrow> </mml:msub> </mml:math> could be improved by an order of magnitude for ALPs in the mass range around 1 eV. The cross-correlation also allows for detection of star formation lines observed by SPHEREx, providing constraints on the amplitude and redshift exponent of their power spectrum with uncertainties of $$\sigma (A_\text {astro}) = 0.004$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>σ</mml:mi> <mml:mo>(</mml:mo> <mml:msub> <mml:mi>A</mml:mi> <mml:mtext>astro</mml:mtext> </mml:msub> <mml:mo>)</mml:mo> <mml:mo>=</mml:mo> <mml:mn>0.004</mml:mn> </mml:mrow> </mml:math> and $$\sigma (\eta _\text {astro}) = 0.004$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>σ</mml:mi> <mml:mo>(</mml:mo> <mml:msub> <mml:mi>η</mml:mi> <mml:mtext>astro</mml:mtext> </mml:msub> <mml:mo>)</mml:mo> <mml:mo>=</mml:mo> <mml:mn>0.004</mml:mn> </mml:mrow> </mml:math> , respectively. Additionally, we consider intrinsic alignment (IA) as a systematic effect in the weak lensing survey. The IA amplitude and exponent are well constrained by the LIM-WL cross-correlation, yielding results of $$\sigma (A_{\text {IA}}) = 0.016$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>σ</mml:mi> <mml:mo>(</mml:mo> <mml:msub> <mml:mi>A</mml:mi> <mml:mtext>IA</mml:mtext> </mml:msub> <mml:mo>)</mml:mo> <mml:mo>=</mml:mo> <mml:mn>0.016</mml:mn> </mml:mrow> </mml:math> and $$\sigma (\eta _{\text {IA}}) = 0.025$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>σ</mml:mi> <mml:mo>(</mml:mo> <mml:msub> <mml:mi>η</mml:mi> <mml:mtext>IA</mml:mtext> </mml:msub> <mml:mo>)</mml:mo> <mml:mo>=</mml:mo> <mml:mn>0.025</mml:mn> </mml:mrow> </mml:math> , which offer significant improvements over previous works related to CSST.

Authors

Institutions

Publication Details

Journal
The European Physical Journal C
Published
2025-04-05
DOI
https://doi.org/10.1140/epjc/s10052-025-14079-z
Primary Topic
Dark Matter and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Forecasts for decaying dark matter from cross-correlation between line intensity mapping and large scale structures surveys

Jiali Wu, Jun-Qing Xia
The European Physical Journal C
Dark Matter and Cosmic Phenomena
article

Forecasts for decaying dark matter from cross-correlation between line intensity mapping and large scale structures surveys

Jiali Wu, Jun-Qing Xia
article en

Abstract

Abstract Axion-like particles (ALPs) are compelling candidates for dark matter with a broad range of possible masses and coupling strengths. These particles decay into two photons, contributing to cosmic background radiation, which may correlate with large-scale structure (LSS). ALPs with a mass around 1 eV decay into monochromatic photons in the near-infrared spectrum, which can be detected by the upcoming SPHEREx mission using line intensity mapping (LIM) technology. To search for ALP signals in SPHEREx, we calculate the cross angular power spectrum between the intensity maps and LSS probes. We employ several LSS probes, including galaxy clustering and weak lensing surveys conducted by the China Space Station Telescope (CSST), as well as CMB lensing performed by CMB-S4. Using a Fisher analysis, we place constraints on the ALP parameters, with uncertainties of $$\sigma (m_a) = 0.062$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>σ</mml:mi> <mml:mo>(</mml:mo> <mml:msub> <mml:mi>m</mml:mi> <mml:mi>a</mml:mi> </mml:msub> <mml:mo>)</mml:mo> <mml:mo>=</mml:mo> <mml:mn>0.062</mml:mn> </mml:mrow> </mml:math> and $$\sigma (g_{a\gamma \gamma }) = 0.19$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>σ</mml:mi> <mml:mo>(</mml:mo> <mml:msub> <mml:mi>g</mml:mi> <mml:mrow> <mml:mi>a</mml:mi> <mml:mi>γ</mml:mi> <mml:mi>γ</mml:mi> </mml:mrow> </mml:msub> <mml:mo>)</mml:mo> <mml:mo>=</mml:mo> <mml:mn>0.19</mml:mn> </mml:mrow> </mml:math> from the joint surveys. Our results suggest that the current bounds on $$g_{a\gamma \gamma }$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>g</mml:mi> <mml:mrow> <mml:mi>a</mml:mi> <mml:mi>γ</mml:mi> <mml:mi>γ</mml:mi> </mml:mrow> </mml:msub> </mml:math> could be improved by an order of magnitude for ALPs in the mass range around 1 eV. The cross-correlation also allows for detection of star formation lines observed by SPHEREx, providing constraints on the amplitude and redshift exponent of their power spectrum with uncertainties of $$\sigma (A_\text {astro}) = 0.004$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>σ</mml:mi> <mml:mo>(</mml:mo> <mml:msub> <mml:mi>A</mml:mi> <mml:mtext>astro</mml:mtext> </mml:msub> <mml:mo>)</mml:mo> <mml:mo>=</mml:mo> <mml:mn>0.004</mml:mn> </mml:mrow> </mml:math> and $$\sigma (\eta _\text {astro}) = 0.004$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>σ</mml:mi> <mml:mo>(</mml:mo> <mml:msub> <mml:mi>η</mml:mi> <mml:mtext>astro</mml:mtext> </mml:msub> <mml:mo>)</mml:mo> <mml:mo>=</mml:mo> <mml:mn>0.004</mml:mn> </mml:mrow> </mml:math> , respectively. Additionally, we consider intrinsic alignment (IA) as a systematic effect in the weak lensing survey. The IA amplitude and exponent are well constrained by the LIM-WL cross-correlation, yielding results of $$\sigma (A_{\text {IA}}) = 0.016$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>σ</mml:mi> <mml:mo>(</mml:mo> <mml:msub> <mml:mi>A</mml:mi> <mml:mtext>IA</mml:mtext> </mml:msub> <mml:mo>)</mml:mo> <mml:mo>=</mml:mo> <mml:mn>0.016</mml:mn> </mml:mrow> </mml:math> and $$\sigma (\eta _{\text {IA}}) = 0.025$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>σ</mml:mi> <mml:mo>(</mml:mo> <mml:msub> <mml:mi>η</mml:mi> <mml:mtext>IA</mml:mtext> </mml:msub> <mml:mo>)</mml:mo> <mml:mo>=</mml:mo> <mml:mn>0.025</mml:mn> </mml:mrow> </mml:math> , which offer significant improvements over previous works related to CSST.

The European Physical Journal CVol. 85(4)
Beijing Normal University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 96%
Dark Matter and Cosmic Phenomena
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.