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tutorials/parquet-catalog-demos/euclid-hats-parquet.md

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@@ -21,15 +21,15 @@ This notebook introduces the [Euclid Q1](https://irsa.ipac.caltech.edu/data/Eucl
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By the end of this tutorial, you will:
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- Query the dataset to find and create figures for galaxies, QSOs, and stars with quality fluxes, redshifts, and morphology.
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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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- Learn how to work with this HATS Parquet product using the PyArrow Python library.
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## 1. Introduction
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The Collection includes a HATS Catalog (main data product), Margin Cache (10 arcsec), and Index Table (object_id).
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The Collection includes a HATS Catalog (main data product), Margin Cache (10 arcsec), and Index Table (object_id) (described in [HATS partitioning and HATS Collections](https://irsa.ipac.caltech.edu/docs/parquet_catalogs/#hats)).
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The Catalog includes the twelve Euclid Q1 tables listed below, joined on the column 'object_id' into a single Parquet dataset with 1,594 columns.
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There are 29,953,430 rows, one per Euclid MER Object, and the total data volume is 400 GB.
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The data includes several different redshift measurements, several flux measurements for each Euclid band, and flux measurements for bands from several ground-based observatories -- in addition to morphological and other measurements.
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It was generated by Phosphoros, a fully Bayesian template-fitting code.
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It was computed for all MER objects, but the input models assumed galaxy.
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The model grid was built spanning the parameters: redshift (z in [0, 6]), galaxy SED, intrinsic reddening curve, intrinsic attenuation.
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Phosphoros should be better for cosmology than ML algorithms (which are more typical) due to the scarcity of spectroscopic "truth" training data above z ~ 1.
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Phosphoros should be better for cosmology than ML algorithms (which are more typical) due to the scarcity of spectroscopic "truth" training data above z ~ 1 (see Tucci).
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"physparam_phz_pp_median_redshift" is the median of the photometric redshift PDF that was produced for galaxy-classed objects by the physical-properties branch of the PHZ pipeline (i.e., non-cosmology).
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We include it here as a useful comparison.

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