J-PAS: forecast on the primordial power spectrum reconstruction
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866911531176820736 |
|---|---|
| author | Martínez-Somonte, Guillermo Marcos-Caballero, Airam Martínez-González, Enrique Maroto, Antonio L. Quartin, Miguel Abramo, Raul Alcaniz, Jailson Benítez, Narciso Bonoli, Silvia Carneiro, Saulo Cenarro, Javier Cristóbal-Hornillos, David Daflon, Simone Dupke, Renato Ederoclite, Alessandro Delgado, Rosa María González Hernán-Caballero, Antonio Hernández-Monteagudo, Carlos Liu, Jifeng López-Sanjuán, Carlos Marín-Franch, Antonio de Oliveira, Claudia Mendes Moles, Mariano Roig, Fernando Sodré Jr., Laerte Taylor, Keith Varela, Jesús Ramió, Héctor Vázquez Vilchez, José M. Zaragoza-Cardiel, Javier |
| author_facet | Martínez-Somonte, Guillermo Marcos-Caballero, Airam Martínez-González, Enrique Maroto, Antonio L. Quartin, Miguel Abramo, Raul Alcaniz, Jailson Benítez, Narciso Bonoli, Silvia Carneiro, Saulo Cenarro, Javier Cristóbal-Hornillos, David Daflon, Simone Dupke, Renato Ederoclite, Alessandro Delgado, Rosa María González Hernán-Caballero, Antonio Hernández-Monteagudo, Carlos Liu, Jifeng López-Sanjuán, Carlos Marín-Franch, Antonio de Oliveira, Claudia Mendes Moles, Mariano Roig, Fernando Sodré Jr., Laerte Taylor, Keith Varela, Jesús Ramió, Héctor Vázquez Vilchez, José M. Zaragoza-Cardiel, Javier |
| contents | We investigate the capability of the J-PAS survey to constrain the primordial power spectrum using a non-parametric Bayesian method. Specifically, we analyze simulated power spectra generated by a local oscillatory primordial feature template motivated by non-standard inflation. The feature is placed within the range of scales where the signal-to-noise ratio is maximized, and we restrict the analysis to $k \in [0.02,0.2] \text{ h} \text{ Mpc}^{-1}$, set by the expected J-PAS coverage and the onset of non-linear effects. Each primordial power spectrum is reconstructed by linearly interpolating $N$ knots in the $\{\log k, \log P_{\mathcal{R}}(k)\}$ plane, which are sampled jointly with the cosmological parameters $\{H_0,Ω_b h^2, Ω_c h^2\}$ using PolyChord. To test the primordial features, we apply two statistical tools: the Bayes factor and a hypothesis test that localizes the scales where features are detected. We assess the recovery under different J-PAS specifications, including redshift binning, tracer type, survey area, and filter strategy. Our results show that combining redshift bins and tracers allows the detection of oscillatory features as small as 2\%. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_18595 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | J-PAS: forecast on the primordial power spectrum reconstruction Martínez-Somonte, Guillermo Marcos-Caballero, Airam Martínez-González, Enrique Maroto, Antonio L. Quartin, Miguel Abramo, Raul Alcaniz, Jailson Benítez, Narciso Bonoli, Silvia Carneiro, Saulo Cenarro, Javier Cristóbal-Hornillos, David Daflon, Simone Dupke, Renato Ederoclite, Alessandro Delgado, Rosa María González Hernán-Caballero, Antonio Hernández-Monteagudo, Carlos Liu, Jifeng López-Sanjuán, Carlos Marín-Franch, Antonio de Oliveira, Claudia Mendes Moles, Mariano Roig, Fernando Sodré Jr., Laerte Taylor, Keith Varela, Jesús Ramió, Héctor Vázquez Vilchez, José M. Zaragoza-Cardiel, Javier Cosmology and Nongalactic Astrophysics We investigate the capability of the J-PAS survey to constrain the primordial power spectrum using a non-parametric Bayesian method. Specifically, we analyze simulated power spectra generated by a local oscillatory primordial feature template motivated by non-standard inflation. The feature is placed within the range of scales where the signal-to-noise ratio is maximized, and we restrict the analysis to $k \in [0.02,0.2] \text{ h} \text{ Mpc}^{-1}$, set by the expected J-PAS coverage and the onset of non-linear effects. Each primordial power spectrum is reconstructed by linearly interpolating $N$ knots in the $\{\log k, \log P_{\mathcal{R}}(k)\}$ plane, which are sampled jointly with the cosmological parameters $\{H_0,Ω_b h^2, Ω_c h^2\}$ using PolyChord. To test the primordial features, we apply two statistical tools: the Bayes factor and a hypothesis test that localizes the scales where features are detected. We assess the recovery under different J-PAS specifications, including redshift binning, tracer type, survey area, and filter strategy. Our results show that combining redshift bins and tracers allows the detection of oscillatory features as small as 2\%. |
| title | J-PAS: forecast on the primordial power spectrum reconstruction |
| topic | Cosmology and Nongalactic Astrophysics |
| url | https://arxiv.org/abs/2510.18595 |