This repository contains all the HELP photometric redshifts (photo-zs) across the various HELP fields. These catalogues include photo-z estimates for subsets of the corresponding field masterlists (DMU1).
Each field will contain:
-
Notebook 1_Photo-z_QC_and_Diagnostics.ipynb : which presents an overview of the photometric redshifts for the field, including information of the input catalogue used, steps applied in the photo-z estimation and the filters used. A series of diagnostic plots are also included to enable assessment of the photo-z quality.
-
Notebook 2_Photo-z_Selection_Function.ipynb : which describes the creation of selection function maps to describe the likelihood of a source having a photo-z in a given HEALpix cell as a function of a specified magnitude.
All of the DMU 24 Data can be found on HeDAM following the folder structure outlined in this repository. In Column Descriptions we list the name, description and Universal Content Descriptor (UCD) for all columns in the DMU 24 Photo-z catalogs.
The photo-z method employed to produce the HELP products are based on the template-fitting method presented in Duncan et al. (2018a), with later estimates also incorporating additional machine-learning following the method based estimates presented in Duncan et al. (2018b). In the folder for each field we outline which filters were included in the photo-z estimation as well as what machine-learning estimates were included (if any).
An overview of the photo-z method as applied to the HELP datasets in outlined in User Guide which provides additional documentation for the eazy-pype package that implements the method. This document serves both as a reference for the HELP data products and a tutorial for reproducing the results and/or applying the method to new datasets. Due to the nature of the method and the particularly large datasets involved for some fields, it is not necessarily expected that a novice user would be able to simply apply the photo-z method. Rather, this documentation serves as a record for understanding the method used/choices made and enable moderately experienced users (e.g. familiar with EAzY) to reproduce some or all of the method.
The analysis and selection funciton notebooks presented in this folder are intended to allow novice users to reproduce the plots or selection maps with their own choice of selection criteria.
All zeropoint offset files used during the photo-z estimation are stored in the dmu24_zeropoints folder structure for reference.
For the fields AKARI-NEP, AKARI-SEP, ELAIS-N2, HDF-N, SA13, SPIRE-NEP, xFLS, and XMM-13hr we use the photometric redshifts presented in Zou et al. (2019) based on Legacy Survey
| HELP Field | Photo-z Available | Masterlist Used | DR1 Photo-z Suffix | DESI photo-z available |
|---|---|---|---|---|
| AKARI-NEP | No | Yes | ||
| AKARI-SEP | No | Yes | ||
| Bootes | Yes | 20180517 | Yes | |
| CDFS-SWIRE | Yes | 20170801 | 20180210 | |
| COSMOS | Yes | Yes | ||
| EGS | Yes | 20180501 | 20180608 | Yes |
| ELAIS-N1 | Yes | 20170706 | 20170725 | Yes |
| ELAIS-N2 | No | Yes | ||
| ELAIS-S1 | Yes | 20171103 | 20180412 | |
| GAMA-09 | Yes | 20180119 | 20180213 | Yes |
| GAMA-12 | Yes | 20171210 | 20180410 | Yes |
| GAMA-15 | Yes | 20180119 | 20180210 | Yes |
| HDF-N | No | Yes | ||
| Herschel-Stripe-82 | Yes | 20180307 | 20180509 | Yes |
| Lockman-SWIRE | Yes | 20170710 | 20170802 | Yes |
| NGP | Yes | 20180501 | 20180601 | |
| SA13 | No | Yes | ||
| SGP | Yes | 20180221 | 20180502 | |
| SPIRE-NEP | No | Yes | ||
| SSDF | Yes | 20180221 | 20180612 | |
| xFLS | No | Yes | ||
| XMM-13hr | No | Yes | ||
| XMM-LSS | Yes | 20180221 | 20180518 |
Authors: Ken Duncan
