Papers
Topics
Authors
Recent
Search
2000 character limit reached

Unlocking New Physics with Joint Power Spectrum and Voxel Intensity Distribution Forecasts in Line-Intensity Mapping

Published 17 Apr 2024 in astro-ph.CO and hep-ph | (2404.11609v1)

Abstract: The power spectrum and voxel intensity distribution (VID) are two summary statistics that can be applied to condense the information encoded in line-intensity maps. The information contained in both summary statistics is highly complementary, and their combination allows for a major increase in precision of parameter estimation from line-intensity mapping (LIM) surveys. Until recently, combination of these statistics required simulation-based estimations of their covariance. In this work we leverage an analytical model of covariance between these observables to run a joint Fisher forecast focusing on the CO(1-0) rotational line targeted by the COMAP survey and a wider, shallower hypothetical iteration. We consider a generalized phenomenological non-CDM model, models with axion dark matter, and local primordial non-Gaussianity, to highlight where a combined analysis of the power spectrum and VID can be most useful. Our results demonstrate improvements in sensitivity to beyond-$\Lambda$CDM physics over analyses using either the power spectrum or VID on their own, by factors ranging from 2 to 50, showcasing the potential of joint analyses in unlocking new insights into fundamental physics with LIM surveys.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (57)
  1. E. D. Kovetz et al., Line-Intensity Mapping: 2017 Status Report,   (2017), arXiv:1709.09066 [astro-ph.CO] .
  2. E. D. Kovetz et al., Astrophysics and Cosmology with Line-Intensity Mapping, Bull. Am. Astron. Soc. 51, 101 (2020), arXiv:1903.04496 [astro-ph.CO] .
  3. J. L. Bernal and E. D. Kovetz, Line-intensity mapping: theory review with a focus on star-formation lines, Astron. Astrophys. Rev. 30, 5 (2022), arXiv:2206.15377 [astro-ph.CO] .
  4. E. Schaan and M. White, Astrophysics & Cosmology from Line Intensity Mapping vs Galaxy Surveys, JCAP 05, 067, arXiv:2103.01971 [astro-ph.CO] .
  5. A. Loeb and S. Wyithe, Precise Measurement of the Cosmological Power Spectrum With a Dedicated 21cm Survey After Reionization, Phys. Rev. Lett. 100, 161301 (2008), arXiv:0801.1677 [astro-ph] .
  6. E. Visbal, A. Loeb, and J. S. B. Wyithe, Cosmological Constraints from 21cm Surveys After Reionization, JCAP 10, 030, arXiv:0812.0419 [astro-ph] .
  7. M. P. van Haarlem et al., LOFAR: The LOw-Frequency ARray, Astron. Astrophys. 556, A2 (2013), arXiv:1305.3550 [astro-ph.IM] .
  8. K. Bandura et al., Canadian Hydrogen Intensity Mapping Experiment (CHIME) Pathfinder, Proc. SPIE Int. Soc. Opt. Eng. 9145, 22 (2014), arXiv:1406.2288 [astro-ph.IM] .
  9. D. R. DeBoer et al., Hydrogen Epoch of Reionization Array (HERA), Publ. Astron. Soc. Pac. 129, 045001 (2017), arXiv:1606.07473 [astro-ph.IM] .
  10. M. G. Santos et al. (MeerKLASS), MeerKLASS: MeerKAT Large Area Synoptic Survey, in MeerKAT Science: On the Pathway to the SKA (2017) arXiv:1709.06099 [astro-ph.CO] .
  11. K. A. Cleary et al., COMAP Early Science: I. Overview 10.3847/1538-4357/ac63cc (2021), arXiv:2111.05927 [astro-ph.CO] .
  12. P. Ade et al. (CONCERTO), A wide field-of-view low-resolution spectrometer at APEX: Instrument design and scientific forecast, Astron. Astrophys. 642, A60 (2020), arXiv:2007.14246 [astro-ph.IM] .
  13. M. Aravena et al. (CCAT-Prime), CCAT-prime Collaboration: Science Goals and Forecasts with Prime-Cam on the Fred Young Submillimeter Telescope, Astrophys. J. Suppl. 264, 7 (2023), arXiv:2107.10364 [astro-ph.CO] .
  14. G. Sun et al., Probing Cosmic Reionization and Molecular Gas Growth with TIME, Astrophys. J. 915, 33 (2021), arXiv:2012.09160 [astro-ph.GA] .
  15. E. R. Switzer et al., Experiment for cryogenic large-aperture intensity mapping: instrument design, J. Astron. Telesc. Instrum. Syst. 7, 044004 (2021).
  16. O. Doré et al. (SPHEREx), Cosmology with the SPHEREX All-Sky Spectral Survey,   (2014), arXiv:1412.4872 [astro-ph.CO] .
  17. L. V. E. Koopmans et al., The Cosmic Dawn and Epoch of Reionization with the Square Kilometre Array, PoS AASKA14, 001 (2015), arXiv:1505.07568 [astro-ph.CO] .
  18. L. B. Newburgh et al., HIRAX: A Probe of Dark Energy and Radio Transients, Proc. SPIE Int. Soc. Opt. Eng. 9906, 99065X (2016), arXiv:1607.02059 [astro-ph.IM] .
  19. H. Padmanabhan, A. Refregier, and A. Amara, Impact of astrophysics on cosmology forecasts for 21 cm surveys, Mon. Not. Roy. Astron. Soc. 485, 4060 (2019), arXiv:1804.10627 [astro-ph.CO] .
  20. H. T. Ihle et al. (COMAP), Joint power spectrum and voxel intensity distribution forecast on the CO luminosity function with COMAP, Astrophys. J. 871, 75 (2019), arXiv:1808.07487 [astro-ph.CO] .
  21. D. T. Chung et al. (COMAP), COMAP Early Science. V. Constraints and Forecasts at z ∼similar-to\sim∼ 3, Astrophys. J. 933, 186 (2022), arXiv:2111.05931 [astro-ph.CO] .
  22. P. C. Breysse, Breaking the intensity-bias degeneracy in line intensity mapping,   (2022), arXiv:2209.01223 [astro-ph.CO] .
  23. G. Sato-Polito and J. L. Bernal, Analytical covariance between the voxel intensity distribution and the power spectrum of line-intensity maps, Phys. Rev. D 106, 103534 (2022), arXiv:2202.02330 [astro-ph.CO] .
  24. G. Sato-Polito, N. Kokron, and J. L. Bernal, A multitracer empirically driven approach to line-intensity mapping light cones, Mon. Not. Roy. Astron. Soc. 526, 5883 (2023), arXiv:2212.08056 [astro-ph.CO] .
  25. J. L. Bernal, P. C. Breysse, and E. D. Kovetz, Cosmic Expansion History from Line-Intensity Mapping, Phys. Rev. Lett. 123, 251301 (2019b), arXiv:1907.10065 [astro-ph.CO] .
  26. A. Del Popolo and M. Le Delliou, Review of Solutions to the Cusp-Core Problem of the ΛΛ{\Lambda}roman_ΛCDM Model, Galaxies 9, 123 (2021), arXiv:2209.14151 [astro-ph.CO] .
  27. D. J. E. Marsh, Axion Cosmology, Phys. Rept. 643, 1 (2016), arXiv:1510.07633 [astro-ph.CO] .
  28. J. E. Kim and D. J. E. Marsh, An ultralight pseudoscalar boson, Phys. Rev. D 93, 025027 (2016), arXiv:1510.01701 [hep-ph] .
  29. E. J. Chun, Axion Dark Matter with High-Scale Inflation, Phys. Lett. B 735, 164 (2014), arXiv:1404.4284 [hep-ph] .
  30. M. Kawasaki, K. Saikawa, and T. Sekiguchi, Axion dark matter from topological defects, Phys. Rev. D 91, 065014 (2015), arXiv:1412.0789 [hep-ph] .
  31. J.-c. Hwang and H. Noh, Axion as a Cold Dark Matter candidate, Phys. Lett. B 680, 1 (2009), arXiv:0902.4738 [astro-ph.CO] .
  32. L. Visinelli and P. Gondolo, Axion cold dark matter in non-standard cosmologies, Phys. Rev. D 81, 063508 (2010), arXiv:0912.0015 [astro-ph.CO] .
  33. M. Kamionkowski, WIMP and axion dark matter, in ICTP Summer School in High-Energy Physics and Cosmology (1997) pp. 394–411, arXiv:hep-ph/9710467 .
  34. J. Preskill, M. B. Wise, and F. Wilczek, Cosmology of the Invisible Axion, Phys. Lett. B 120, 127 (1983).
  35. C. Creque-Sarbinowski and M. Kamionkowski, Searching for Decaying and Annihilating Dark Matter with Line Intensity Mapping, Phys. Rev. D 98, 063524 (2018), arXiv:1806.11119 [astro-ph.CO] .
  36. C. T. Byrnes and K.-Y. Choi, Review of local non-Gaussianity from multi-field inflation, Adv. Astron. 2010, 724525 (2010), arXiv:1002.3110 [astro-ph.CO] .
  37. A. Cooray and R. K. Sheth, Halo Models of Large Scale Structure, Phys. Rept. 372, 1 (2002), arXiv:astro-ph/0206508 .
  38. M. Asgari, A. J. Mead, and C. Heymans, The halo model for cosmology: a pedagogical review 10.21105/astro.2303.08752 (2023), arXiv:2303.08752 [astro-ph.CO] .
  39. B. Diemer and M. Joyce, An accurate physical model for halo concentrations, Astrophys. J. 871, 168 (2019), arXiv:1809.07326 [astro-ph.CO] .
  40. J. L. Bernal, Toward accurate modeling of line-intensity mapping one-point statistics: Including extended profiles, Phys. Rev. D 109, 043517 (2024), arXiv:2309.06481 [astro-ph.CO] .
  41. N. Aghanim et al. (Planck), Planck 2018 results. VI. Cosmological parameters, Astron. Astrophys. 641, A6 (2020), [Erratum: Astron.Astrophys. 652, C4 (2021)], arXiv:1807.06209 [astro-ph.CO] .
  42. N. Sabti, J. B. Muñoz, and D. Blas, First Constraints on Small-Scale Non-Gaussianity from UV Galaxy Luminosity Functions, JCAP 01, 010, arXiv:2009.01245 [astro-ph.CO] .
  43. S. Matarrese, L. Verde, and R. Jimenez, The Abundance of high-redshift objects as a probe of non-Gaussian initial conditions, Astrophys. J. 541, 10 (2000), arXiv:astro-ph/0001366 .
  44. S. Matarrese and L. Verde, The effect of primordial non-Gaussianity on halo bias, Astrophys. J. Lett. 677, L77 (2008), arXiv:0801.4826 [astro-ph] .
  45. V. Desjacques and U. Seljak, Primordial non-Gaussianity from the large scale structure, Class. Quant. Grav. 27, 124011 (2010), arXiv:1003.5020 [astro-ph.CO] .
  46. A. Barreira, Can we actually constrain fN⁢L𝑁𝐿{}_{NL}start_FLOATSUBSCRIPT italic_N italic_L end_FLOATSUBSCRIPT using the scale-dependent bias effect? An illustration of the impact of galaxy bias uncertainties using the BOSS DR12 galaxy power spectrum, JCAP 11, 013, arXiv:2205.05673 [astro-ph.CO] .
  47. A. Barreira, The local PNG bias of neutral Hydrogen, HI𝐼{}_{I}start_FLOATSUBSCRIPT italic_I end_FLOATSUBSCRIPT, JCAP 04 (04), 057, arXiv:2112.03253 [astro-ph.CO] .
  48. P. C. Breysse, E. D. Kovetz, and M. Kamionkowski, Masking line foregrounds in intensity mapping surveys, Mon. Not. Roy. Astron. Soc. 452, 3408 (2015), arXiv:1503.05202 [astro-ph.CO] .
  49. Y.-T. Cheng, T.-C. Chang, and J. J. Bock, Phase-space Spectral Line Deconfusion in Intensity Mapping, Astrophys. J. 901, 142 (2020), arXiv:2005.05341 [astro-ph.CO] .
  50. S. Cunnington et al., The foreground transfer function for H i intensity mapping signal reconstruction: MeerKLASS and precision cosmology applications, Mon. Not. Roy. Astron. Soc. 523, 2453 (2023), arXiv:2302.07034 [astro-ph.CO] .
  51. M. Van Cuyck et al., CONCERTO: Extracting the power spectrum of the [C II ] emission line, Astron. Astrophys. 676, A62 (2023), arXiv:2306.01568 [astro-ph.CO] .
  52. J. L. Bernal and A. Baleato Lizancos, , In preparation .
  53. M. K. Foss et al. (COMAP), COMAP Early Science. III. CO Data Processing, Astrophys. J. 933, 184 (2022), arXiv:2111.05929 [astro-ph.IM] .
  54. D. A. Riechers et al., COLDz: Shape of the CO Luminosity Function at High Redshift and the Cold Gas History of the Universe, Astrophys. J. 872, 7 (2019), arXiv:1808.04371 [astro-ph.GA] .
  55. R. Hlozek, D. J. E. Marsh, and D. Grin, Using the Full Power of the Cosmic Microwave Background to Probe Axion Dark Matter, Mon. Not. Roy. Astron. Soc. 476, 3063 (2018), arXiv:1708.05681 [astro-ph.CO] .
  56. P. C. Breysse, C. J. Anderson, and P. Berger, Canceling out intensity mapping foregrounds, Phys. Rev. Lett. 123, 231105 (2019), arXiv:1907.04369 [astro-ph.CO] .
  57. P. C. Breysse, D. T. Chung, and H. T. Ihle, Characteristic functions for cosmological cross-correlations, Mon. Not. Roy. Astron. Soc. 525, 1824 (2023), arXiv:2210.14902 [astro-ph.CO] .

Summary

No one has generated a summary of this paper yet.

Sign Up to Summarize

Paper to Video (Beta)

No one has generated a video about this paper yet.

Sign Up to Generate All Videos Subscribe on YouTube

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Sign Up to Generate

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Generate Now

Continue Learning

We haven't generated follow-up questions for this paper yet.

Generate Now

Collections

Sign up for free to add this paper to one or more collections.

Sign Up

Tweets

Sign up for free to view the 1 tweet with 2 likes about this paper.

Sign Up for Free