Dark Classification Matters: Searching for Primordial Black Holes with LSST
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866909939298992128 |
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| author | Romao, Miguel Crispim Croon, Djuna Crossey, Benedict Godines, Daniel |
| author_facet | Romao, Miguel Crispim Croon, Djuna Crossey, Benedict Godines, Daniel |
| contents | We present projected constraints on the abundance of primordial black holes (PBHs) as a constituent of dark matter, based on microlensing observations from the upcoming Legacy Survey of Space and Time (LSST) at the Vera C. Rubin Observatory. We use a catalogue of microlensing light curves simulated with Rubin Observatory's OpSims to demonstrate that competitive constraints crucially rely on minimising the false positive rate (FPR) of the classification algorithm. We propose the Bayesian information criterion and a Boosted Decision Tree as effective discriminators and compare their derived efficiency and FPR to a more standard $χ^2$-test. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_20709 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Dark Classification Matters: Searching for Primordial Black Holes with LSST Romao, Miguel Crispim Croon, Djuna Crossey, Benedict Godines, Daniel Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics General Relativity and Quantum Cosmology High Energy Physics - Phenomenology We present projected constraints on the abundance of primordial black holes (PBHs) as a constituent of dark matter, based on microlensing observations from the upcoming Legacy Survey of Space and Time (LSST) at the Vera C. Rubin Observatory. We use a catalogue of microlensing light curves simulated with Rubin Observatory's OpSims to demonstrate that competitive constraints crucially rely on minimising the false positive rate (FPR) of the classification algorithm. We propose the Bayesian information criterion and a Boosted Decision Tree as effective discriminators and compare their derived efficiency and FPR to a more standard $χ^2$-test. |
| title | Dark Classification Matters: Searching for Primordial Black Holes with LSST |
| topic | Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics General Relativity and Quantum Cosmology High Energy Physics - Phenomenology |
| url | https://arxiv.org/abs/2506.20709 |