| Project/Area Number |
21K13917
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 15010:Theoretical studies related to particle-, nuclear-, cosmic ray and astro-physics
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| Research Institution | The University of Tokyo |
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Principal Investigator |
PARK YOUNGSOO 東京大学, カブリ数物連携宇宙研究機構, 特任研究員 (20835467)
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| Project Period (FY) |
2021-04-01 – 2023-03-31
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| Project Status |
Discontinued (Fiscal Year 2022)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2023: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2022: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2021: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | Cosmology / galaxy clusters / weak lensing / large scale structure / Galaxy Clusters / Weak Lensing / Large Scale Structure |
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| Outline of Research at the Start |
Cluster cosmology analyses hinge on accurate calibrations of cluster masses. This research aims to tackle the issue of projection effects, a key set of systematic effects complicating the mass calibration of optical clusters, and thereby create a viable path forward for robust cluster cosmology, more specifically by creating models of projection effects, constructing and testing an end-to-end analysis pipeline including these models, and applying these pipelines to real data.
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| Outline of Annual Research Achievements |
In FY2022 (May 2022 to September 2022), I have carried out follow-up research related to the results obtained inFY2021. Specifically, my collaborators and I have obtained a new cluster lensing measurement from the HSC-SSPfirst-year data. I have then performed preliminary comparisons between the FY2021 results, using SDSS shapemeasurements, and new results using the HSC-SSP shape measurements. Preliminary results suggest that thepuzzles from FY2021 may be solved with the new cluster lensing measurements, and further studies and analysesare ongoing today.
I have also refactored the codebase for the cluster cosmology analysis pipeline and have shared it with mycollaborators as a private github repository. This refactoring has made it easy for current and future researchersinterested in contributing to quickly learn and become able to perform the analysis, in particular the running of MarkovChain Monte Carlo simulations for likelihood analyses.
Both of the above achievements will allow the impact of this grant to last long after its end.
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