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# Euclid Q1 Catalogs in HATS Parquet
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This notebook introduces the [Euclid Q1](https://irsa.ipac.caltech.edu/data/Euclid/docs/overview_q1.html) HATS Collection served by IPAC/IRSA and demonstrates access with Python.
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This notebook introduces the [Euclid Q1](https://irsa.ipac.caltech.edu/data/Euclid/docs/overview_q1.html) HATS Collection served by Caltech-IPAC/IRSA and demonstrates access with Python.
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## Learning Goals
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By the end of this tutorial, you will:
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By the end of this tutorial, you will be able to:
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- Query the dataset for galaxies, QSOs, and stars with quality fluxes, redshifts, and morphology.
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- Understand the format and schema of this dataset.
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- Understand the format and organization of this dataset.
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- Learn how to work with this HATS Parquet product using the PyArrow Python library.
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The NISP instrument was built to target Halpha emitting galaxies, which effectively means 0.9 < z < 1.8.
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SPE redshifts are reliable in that regime.
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However, this represents <2% of the total delivered by the SPE pipeline, so it's crucial to make cuts in order to get it.
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However, this represents <2% of the total delivered by the SPE pipeline, so it's crucial to make cuts in order to obtain a sample of galaxies with robust spectroscopic redshifts.
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```{code-cell}
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# SPE probability of the rank 0 (best) redshift estimate, assuming galaxy.
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& (pc.field(SPURIOUS_FLAG) == 0)
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& (pc.field("mer_det_quality_flag") < 4)
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# High quality SPE galaxies.
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& (pc.field(SPE_GAL_Z_PROB) > 0.99) # [FIXME] Andreas says > 0.999. Also mentioned in sec. 6.2.
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