সংরক্ষণ করুন:
| প্রধান লেখক: | |
|---|---|
| বিন্যাস: | Recurso digital |
| ভাষা: | |
| প্রকাশিত: |
Zenodo
2022
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | https://doi.org/10.5281/zenodo.7072856 |
| ট্যাগগুলো: |
ট্যাগ যুক্ত করুন
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
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সূচিপত্রের সারণি:
- <p>Weak Gravitational Lensing is a powerful probe for cosmology, and is one of the main goals for the Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST). LSST will observe ∼ 10<sup>10</sup> galaxies and measure their redshifts with broad-band photometry (photometric redshift; photo-z). This dissertation consists of three projects dedicated to improve LSST systematic uncertainties including photo-z measurements:</p> <p>1. improve photometric calibration of <em>u</em>-band imaging;</p> <p>2. identify overlapping galaxies (blends) with machine learning;</p> <p>3. quantify the impact of blends in galaxy clusters on photo-z.</p> <p>Motivated by the photo-z challenges of Rubin-LSST, this work also has applications beyond photo-z or Rubin (e.g. cluster cosmology, galaxy shape measurements, Milky Way structure, or any optical observation with deep <em>u</em>-band imaging).</p>