Snowmass2021: Opportunities from Cross-survey Analyses of Static Probes

Baxter, Eric J.; Chang, Chihway; Hearin, Andrew; Blazek, Jonathan; Bleem, Lindsey E.; Ferraro, Simone; Ishak, Mustapha; Karkare, Kirit S.; Leauthaud, Alexie; Liu, Jia; Mandelbaum, Rachel; Meyers, Joel; Dizgah, Azadeh Moradinezhad; Nagai, Daisuke; Newman, Jeffrey A.; Omori, Yuuki; Sehgal, Neelima; White, Martin; Zuntz, Joe; Alvarez, Marcelo A.; Avestruz, Camille; Bianchini, Federico; Bocquet, Sebastian; Bolliet, Boris; Carlstrom, John E.; Doux, Cyrille; van Engelen, Alexander; Goh, Tze; Grandis, Sebastian; Hill, J. Colin; von der Linden, Anja; Maniyar, Abhishek S.; Marques, Gabriela A.; Porredon, Anna; Prat, Judit; Robertson, Naomi; Schaan, Emmanuel; Shaikh, Shabbir; Shin, Tae-hyeon; Zhang, Yuanyuan

doi:10.48550/arxiv.2203.06795

Cited by 2 publications

(3 citation statements)

References 114 publications

(125 reference statements)

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“…This is produced by subtracting the input cosmological signal as well as the mean field bias estimate from the Planck Full Focal Plane (FFP10) CMB lensing simulations available from the Planck Legacy Archive. 11 Finally, we apply the Planck lensing survey mask. We downgrade this mask to our fiducial resolution of nside = 1024 following the procedure outlined in [91] and further apodize the mask using a Gaussian smoothing kernel of FWHM 1.0 deg.…”

Section: Jcap01(2024)042mentioning

confidence: 99%

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12 × 2 pt combined probes: pipeline, neutrino mass, and data compression

Reeves,

Nicola,

Refregier

et al. 2024

J. Cosmol. Astropart. Phys.

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With the rapid advance of wide-field surveys it is increasingly important to perform combined cosmological probe analyses. We present a new pipeline for simulation-based multi-probe analyses, which combines tomographic large-scale structure (LSS) probes (weak lensing and galaxy clustering) with cosmic microwave background (CMB) primary and lensing data. These are combined at the C ℓ-level, yielding 12 distinct auto- and cross-correlations. The pipeline is based on UFalconv2, a framework to generate fast, self-consistent map-level realizations of cosmological probes from input lightcones, which is applied to the CosmoGridV1 N-body simulation suite. It includes a non-Gaussian simulation-based covariance for the LSS tracers, several data compression schemes, and a neural network emulator for accelerated theoretical predictions. We validate the pipeline by comparing the simulations to these predictions, and our derived constraints to earlier analyses. We apply our framework to a simulated 12×2 pt tomographic analysis of KiDS, BOSS, and Planck, and forecast constraints for a ΛCDM model with a variable neutrino mass. We find that, while the neutrino mass constraints are driven by the CMB data, the addition of LSS data helps to break degeneracies and improves the constraint by up to 35%. For a fiducial Mν = 0.15 eV, a full combination of the above CMB+LSS data would enable a 3σ constraint on the neutrino mass. We explore data compression schemes and find that MOPED outperforms PCA and is made robust using the derivatives afforded by our automatically differentiable emulator. We also study the impact of an internal lensing tension in the CMB data, parametrized by AL , on the neutrino mass constraint, finding that the addition of LSS to CMB data including all cross-correlations is able to mitigate the impact of this systematic. UFalconv2 and a MOPED compressed Planck CMB primary + CMB lensing likelihood are made publicly available.[UFalconv2: https://cosmology.ethz.ch/research/software-lab/UFalcon.html, compressed Planck CMB primary + CMB lensing likelihood: https://github.com/alexreevesy/planck_compressed.]

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Section: Jcap01(2024)042mentioning

confidence: 99%

“…In addition, combining cosmological probes can break parameter degeneracies inherent in single probe analyses, thus leading to tighter constraints [8,9]. Finally, by leveraging cross-correlations, we can calibrate systematic effects that do not correlate between the datasets [10,11].…”

Section: Introductionmentioning

confidence: 99%

12 × 2 pt combined probes: pipeline, neutrino mass, and data compression

Reeves,

Nicola,

Refregier

et al. 2024

J. Cosmol. Astropart. Phys.

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“…In particular, performing measurements of the late time Universe with highly non-linear physics, combined with the difficulty of adequately accounting for systematic errors, are a difficult task even in the timeline of the Stage IV experiments [5]. Therefore, it is essential to look for new independent observables and to perform robust joint analyses [8].…”

Section: New Challenges and Goals For Dark Energy Research In The Nex...mentioning

confidence: 99%

Snowmass2021 Cosmic Frontier CF6 White Paper: Multi-Experiment Probes for Dark Energy -- Transients

Kim¹,

Palmese²,

Pereira³

et al. 2022

Preprint

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This invited Snowmass 2021 White Paper highlights the power of joint-analysis of astronomical transients in advancing HEP Science and presents research activities that can realize the opportunities that come with current and upcoming projects. Transients of interest include gravitational wave events, neutrino events, strongly-lensed quasars and supernovae, and Type Ia supernovae specifically. These transients can serve as probes of cosmological distances in the Universe and as cosmic laboratories of extreme strong-gravity, high-energy physics. Joint analysis refers to work that requires significant coordination from multiple experiments or facilities so encompasses Multi-Messenger Astronomy and optical transient discovery and distributed follow-up programs.

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Snowmass2021: Opportunities from Cross-survey Analyses of Static Probes

Cited by 2 publications

References 114 publications

12 × 2 pt combined probes: pipeline, neutrino mass, and data compression

12 × 2 pt combined probes: pipeline, neutrino mass, and data compression

Snowmass2021 Cosmic Frontier CF6 White Paper: Multi-Experiment Probes for Dark Energy -- Transients

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