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The Herschel Extrgalactic Legacy Project enables studies of galaxy formation and evolution by bringing together astronomical survey data sets from many observatories and telescopes and adding scientific value to these.

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HELP LOGO HELP DMU product repository

This repository contains the products of the various HELP Data Management Units (DMU). The Github repository contains everything except the actual data, while its mirror on HeDaM contains everything. The reason not to store the data files in Github is that git is not designed for storing large data files. The directory structures on HeDaM and GitHub are identical. If you plan to use HELP data extensively, we recommend cloning the GitHub repository and downloading data to the corresponding data folders on your computer so that relative links continue to work properly. As well as accessing the binary data files on HeDaM:

it is also possible to query the data from the Virtual Observatory at susseX (VOX):

The data can be browsed online using the HELP image and catalogue viewer:

These images and catalogues can also be loaded in to Aladin Desktop. The urls for each product are discussed in dmu31/dmu31_HiPS.

The repository is organised as follows:

  • Each DMU (see list below) has its own directory (e.g. DMU24/ contains photometric redshifts).
  • Each DMU product (e.g. photometric redshifts in the XMM-LSS field) lives in a separate sub-directory. These are typically organised by field. These contain a readme.md file describing the data product. If you want to keep your data in the clone of this repository on your computer, you can put it in a data/ folder inside the DMU product directory. These folders are automatically ignored by git.

DMU list

Here is the list of the DMU numbers with their associated responsibility. Some of these involve ongoing work and are not currently on GitHub. dmu32 contains the main HELP data product which joins together data from dmu0 (optical surveys), dmu1 (masterlist), dmu24 (photometric redshifts), dmu26 (XID+ fluxes), dmu28 (CIGALE SED fits).

DMU Contents
DMU0 Pristine catalogues
DMU1 Masterlist data
DMU2 Field definitions
DMU3 Morphologies (under development)
DMU4 Bright Star Mask
DMU5 Known Star Flag
DMU6 Optical photometry validation
DMU7 Optical photometry (under development)
DMU8 Radio data - LOFAR & FIRST/NVSS/TGSS
DMU9 Radio data - JVLA-DEEP & GMRT-DEEP
DMU10 Data Fusion
DMU11 Cross matching MIPS/PACS/SPIRE (under development)
DMU12 Cross Matching LOFAR & FIRST/NVSS/TGSS
DMU13 Cross Matching JVLA-DEEP & GMRT-DEEP
DMU14 GALEX data
DMU15 X-Ray data (under development)
DMU16 WISE Photometry
DMU17 MIPS Maps
DMU18 PACS maps
DMU19 SPIRE maps
DMU20 MIPS blind photometry (under development)
DMU21 PACS blind photometry (under development)
DMU22 SPIRE blind photometry
DMU23 Spec-z data
DMU24 Photo-z
DMU25 Prior model
DMU26 XID+
DMU27 Empirical models / templates (under development)
DMU28 SED fitting / CIGALE
DMU29 Radiative transfer models (under development)
DMU30 Missing (supplementary) Sources (under development)
DMU31 Tools
DMU32 Merged catalogue

Running the code

Most of the code used to generate and manipulate data here is run through Jupyter notebooks and makes extensive use of the Python package herschelhelp_internal written for the purpose. Installation instructions are available on the GitHub download page:

If you don't wish to rerun or adapt the code here but just to use the data, you may be interested in the Python package herschelhelp_python. We anticipate most users of HELP data using this package.


Authors: Raphael Shirley, Yannick Roehlly, Peter Hurley, Ken Duncan, Kasia Malek, Estelle Pons, Seb Oliver

HELP LOGO

The Herschel Extragalactic Legacy Project, (HELP), is a European Commission Research Executive Agency funded project under the SP1-Cooperation, Collaborative project, Small or medium-scale focused research project, FP7-SPACE-2013-1 scheme, Grant Agreement Number 607254.

Acknowledgements

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The Herschel Extrgalactic Legacy Project enables studies of galaxy formation and evolution by bringing together astronomical survey data sets from many observatories and telescopes and adding scientific value to these.

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