A Hydrodynamical Simulations-based Model that Connects the FRB DM–Redshift Relation to Suppression of the Matter Power Spectrum via Feedback
Understanding the impact of baryonic feedback on the small-scale ( k ≳ 1 h Mpc ^−1 ) matter power spectrum is a key astrophysical challenge, and essential for interpreting data from upcoming weak-lensing surveys, which require percent-level accuracy to fully harness their potential. Astrophysical p...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
|
| Series: | The Astrophysical Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.3847/1538-4357/adeca4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849391663634448384 |
|---|---|
| author | Kritti Sharma Elisabeth Krause Vikram Ravi Robert Reischke Pranjal R. S. Liam Connor |
| author_facet | Kritti Sharma Elisabeth Krause Vikram Ravi Robert Reischke Pranjal R. S. Liam Connor |
| author_sort | Kritti Sharma |
| collection | DOAJ |
| description | Understanding the impact of baryonic feedback on the small-scale ( k ≳ 1 h Mpc ^−1 ) matter power spectrum is a key astrophysical challenge, and essential for interpreting data from upcoming weak-lensing surveys, which require percent-level accuracy to fully harness their potential. Astrophysical probes, such as the kinematic and thermal Sunyaev–Zel’dovich effects, have been used to constrain feedback at large scales ( k ≲ 5 h Mpc ^−1 ). The sightline-to-sightline variance in the fast radio bursts (FRBs) dispersion measure (DM) correlates with the strength of baryonic feedback and offers unique sensitivity at scales up to k ∼ 10 h Mpc ^−1 . We develop a new simulation-based formalism in which we parameterize the distribution of DM at a given redshift, p (DM∣ z ), as a log-normal with its first two moments computed analytically in terms of cosmological parameters and the feedback-dependent electron power spectrum P _ee ( k , z ). We find that the log-normal parameterization provides an improved description of the p (DM∣ z ) distribution observed in hydrodynamical simulations as compared to the standard F -parameterization. Our model robustly captures the baryonic feedback effects across a wide range of baryonic feedback prescriptions in hydrodynamical simulations, including IllustrisTNG , SIMBA , and Astrid . Leveraging simulations incorporates the redshift evolution of the DM variance by construction and facilitates the translation of constrained feedback parameters to the suppression of matter power spectrum relative to gravity-only simulations. We show that with 10 ^4 FRBs, the suppression can be constrained to percent-level precision at large scales and ∼10% precision at scales k ≳ 10 h Mpc ^−1 with prior-to-posterior 1 σ constraint width ratio ≳20. |
| format | Article |
| id | doaj-art-e6297dcfee0d4ccbb1ea20548f39fc33 |
| institution | Kabale University |
| issn | 1538-4357 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | The Astrophysical Journal |
| spelling | doaj-art-e6297dcfee0d4ccbb1ea20548f39fc332025-08-20T03:41:00ZengIOP PublishingThe Astrophysical Journal1538-43572025-01-0198918110.3847/1538-4357/adeca4A Hydrodynamical Simulations-based Model that Connects the FRB DM–Redshift Relation to Suppression of the Matter Power Spectrum via FeedbackKritti Sharma0https://orcid.org/0000-0002-4477-3625Elisabeth Krause1Vikram Ravi2https://orcid.org/0000-0002-7252-5485Robert Reischke3Pranjal R. S.4Liam Connor5https://orcid.org/0000-0002-7587-6352Cahill Center for Astronomy and Astrophysics , MC 249-17 California Institute of Technology, Pasadena, CA 91125, USA ; kritti@caltech.eduDepartment of Astronomy/Steward Observatory, University of Arizona , 933 North Cherry Avenue, Tucson, AZ 85721, USA; Department of Physics, University of Arizona , 1118 East Fourth Street, Tucson, AZ 85721, USACahill Center for Astronomy and Astrophysics , MC 249-17 California Institute of Technology, Pasadena, CA 91125, USA ; kritti@caltech.edu; Owens Valley Radio Observatory, California Institute of Technology , Big Pine, CA 93513, USAArgelander-Institut für Astronomie, Universität Bonn , Auf dem Hügel 71, D-53121 Bonn, GermanyDepartment of Astronomy/Steward Observatory, University of Arizona , 933 North Cherry Avenue, Tucson, AZ 85721, USACenter for Astrophysics—Harvard & Smithsonian , Cambridge, MA 02138-1516, USAUnderstanding the impact of baryonic feedback on the small-scale ( k ≳ 1 h Mpc ^−1 ) matter power spectrum is a key astrophysical challenge, and essential for interpreting data from upcoming weak-lensing surveys, which require percent-level accuracy to fully harness their potential. Astrophysical probes, such as the kinematic and thermal Sunyaev–Zel’dovich effects, have been used to constrain feedback at large scales ( k ≲ 5 h Mpc ^−1 ). The sightline-to-sightline variance in the fast radio bursts (FRBs) dispersion measure (DM) correlates with the strength of baryonic feedback and offers unique sensitivity at scales up to k ∼ 10 h Mpc ^−1 . We develop a new simulation-based formalism in which we parameterize the distribution of DM at a given redshift, p (DM∣ z ), as a log-normal with its first two moments computed analytically in terms of cosmological parameters and the feedback-dependent electron power spectrum P _ee ( k , z ). We find that the log-normal parameterization provides an improved description of the p (DM∣ z ) distribution observed in hydrodynamical simulations as compared to the standard F -parameterization. Our model robustly captures the baryonic feedback effects across a wide range of baryonic feedback prescriptions in hydrodynamical simulations, including IllustrisTNG , SIMBA , and Astrid . Leveraging simulations incorporates the redshift evolution of the DM variance by construction and facilitates the translation of constrained feedback parameters to the suppression of matter power spectrum relative to gravity-only simulations. We show that with 10 ^4 FRBs, the suppression can be constrained to percent-level precision at large scales and ∼10% precision at scales k ≳ 10 h Mpc ^−1 with prior-to-posterior 1 σ constraint width ratio ≳20.https://doi.org/10.3847/1538-4357/adeca4Observational cosmologyRadio transient sources |
| spellingShingle | Kritti Sharma Elisabeth Krause Vikram Ravi Robert Reischke Pranjal R. S. Liam Connor A Hydrodynamical Simulations-based Model that Connects the FRB DM–Redshift Relation to Suppression of the Matter Power Spectrum via Feedback The Astrophysical Journal Observational cosmology Radio transient sources |
| title | A Hydrodynamical Simulations-based Model that Connects the FRB DM–Redshift Relation to Suppression of the Matter Power Spectrum via Feedback |
| title_full | A Hydrodynamical Simulations-based Model that Connects the FRB DM–Redshift Relation to Suppression of the Matter Power Spectrum via Feedback |
| title_fullStr | A Hydrodynamical Simulations-based Model that Connects the FRB DM–Redshift Relation to Suppression of the Matter Power Spectrum via Feedback |
| title_full_unstemmed | A Hydrodynamical Simulations-based Model that Connects the FRB DM–Redshift Relation to Suppression of the Matter Power Spectrum via Feedback |
| title_short | A Hydrodynamical Simulations-based Model that Connects the FRB DM–Redshift Relation to Suppression of the Matter Power Spectrum via Feedback |
| title_sort | hydrodynamical simulations based model that connects the frb dm redshift relation to suppression of the matter power spectrum via feedback |
| topic | Observational cosmology Radio transient sources |
| url | https://doi.org/10.3847/1538-4357/adeca4 |
| work_keys_str_mv | AT krittisharma ahydrodynamicalsimulationsbasedmodelthatconnectsthefrbdmredshiftrelationtosuppressionofthematterpowerspectrumviafeedback AT elisabethkrause ahydrodynamicalsimulationsbasedmodelthatconnectsthefrbdmredshiftrelationtosuppressionofthematterpowerspectrumviafeedback AT vikramravi ahydrodynamicalsimulationsbasedmodelthatconnectsthefrbdmredshiftrelationtosuppressionofthematterpowerspectrumviafeedback AT robertreischke ahydrodynamicalsimulationsbasedmodelthatconnectsthefrbdmredshiftrelationtosuppressionofthematterpowerspectrumviafeedback AT pranjalrs ahydrodynamicalsimulationsbasedmodelthatconnectsthefrbdmredshiftrelationtosuppressionofthematterpowerspectrumviafeedback AT liamconnor ahydrodynamicalsimulationsbasedmodelthatconnectsthefrbdmredshiftrelationtosuppressionofthematterpowerspectrumviafeedback AT krittisharma hydrodynamicalsimulationsbasedmodelthatconnectsthefrbdmredshiftrelationtosuppressionofthematterpowerspectrumviafeedback AT elisabethkrause hydrodynamicalsimulationsbasedmodelthatconnectsthefrbdmredshiftrelationtosuppressionofthematterpowerspectrumviafeedback AT vikramravi hydrodynamicalsimulationsbasedmodelthatconnectsthefrbdmredshiftrelationtosuppressionofthematterpowerspectrumviafeedback AT robertreischke hydrodynamicalsimulationsbasedmodelthatconnectsthefrbdmredshiftrelationtosuppressionofthematterpowerspectrumviafeedback AT pranjalrs hydrodynamicalsimulationsbasedmodelthatconnectsthefrbdmredshiftrelationtosuppressionofthematterpowerspectrumviafeedback AT liamconnor hydrodynamicalsimulationsbasedmodelthatconnectsthefrbdmredshiftrelationtosuppressionofthematterpowerspectrumviafeedback |