Difference between revisions of "ERC Demo"

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== This wikipage has been created to help running the clustering demo in the [https://cosmohub.pic.es CosmoHub portal] ==
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= This wiki has been created to help running the demos in the [https://cosmohub.pic.es CosmoHub portal] =
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== General Use ==
  
 
1) Login to [https://cosmohub.pic.es CosmoHub] using the following credentials:
 
1) Login to [https://cosmohub.pic.es CosmoHub] using the following credentials:
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you will find a page with only one simulated catalog: MICECATv1.0. We have removed the rest of the public catalogs (e.g. MICECATv2.0, GAIA DR1 and DR2, etc.) to make this demo simpler.
 
you will find a page with only one simulated catalog: MICECATv1.0. We have removed the rest of the public catalogs (e.g. MICECATv2.0, GAIA DR1 and DR2, etc.) to make this demo simpler.
 
  
 
2) '''Click on the name MICECAT''' to access the catalog.
 
2) '''Click on the name MICECAT''' to access the catalog.
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'''NOTE''': The clustering analysis is just a preliminary proof of concept. The HOD and Photo Z analysis are only placeholder tabs, they are not implemented in practice.
 
'''NOTE''': The clustering analysis is just a preliminary proof of concept. The HOD and Photo Z analysis are only placeholder tabs, they are not implemented in practice.
 
  
 
== Data Download ==
 
== Data Download ==
  
 
Scroll down to '''Step 6: Format''' to select a format if you want to download a queried catalogue. Once the query finishes you will receive an email in the erc.cosmodark@gmail.com account (accesible with password DarkCosmo) with the link for download (found also under Activity).
 
Scroll down to '''Step 6: Format''' to select a format if you want to download a queried catalogue. Once the query finishes you will receive an email in the erc.cosmodark@gmail.com account (accesible with password DarkCosmo) with the link for download (found also under Activity).

Revision as of 15:56, 6 March 2019

This wiki has been created to help running the demos in the CosmoHub portal

General Use

1) Login to CosmoHub using the following credentials:

user: erc.cosmodark@gmail.com
password: DarkCosmo 

you will find a page with only one simulated catalog: MICECATv1.0. We have removed the rest of the public catalogs (e.g. MICECATv2.0, GAIA DR1 and DR2, etc.) to make this demo simpler.

2) Click on the name MICECAT to access the catalog.

A menu at the header to easily find the different steps of the process in order to create and analyze your custom sample.

3) For simplicity we have pre-defined three "Demos" corresponding to three different galaxy samples, which can be found in Step 0: Demos and Datasets.

4) Click on "Demo" for any of the samples (under Load column in the right side of the Step 0 section).

Once you click on Demo you will be directly redirected to "Step 4: Query", where the user can see the selected galaxy sample.

For instance, Clustering demo 1 is a volume limited galaxy sample including a cut in absolute magnitude (or luminosity):

SELECT `d_c`, `ra`, `dec` 
FROM micecatv1_0_hpix 
WHERE `z` > 0.2 AND `z` < 0.3 AND `abs_mag_r` < -21

where 3 different columns, d_c (comoving distance in Mpc/h), ra and dec (Rigth ascension and Declination in degrees), from a redshift shell (0.2 < z < 0.3) filtered by a luminosity cut (Mr - 5 log(h) < -21), are selected.

5) You can add properties to this query by selecting the desired column in Step1: Columns.

6) You can choose a random subset of the sample by going to Step 2: Sampling.

7) You can change the query by going to Step 3: Filters and impose other selection criteria.

Analysis & Preview

If you scroll to Step5: Analysis you can make Tables, Scatter Plots, Histograms and Heatmaps between the different selected columns.

  • For example, under Histogram select d_c in the X axis, with (min,max) values and you can see the distribution of comoving radial distances for the sample.

Guided Task: Clustering

To run the clustering analysis for this sample you have to scroll down until Step 5b: Guided Tasks.

  • Fill each of the fields in the first row with the corresponding selected columns: e.g. RA with ra, Dec with dec and r with d_c.
  • In the second row define the distance separation binning (min, max) and the number of bins.
  • Launch the job by clicking on the Request button, located at the bottom.

Once the job is finished you will receive an email in the erc.cosmodark@gmail.com account (accesible with password DarkCosmo) with the results.

NOTE: The clustering analysis is just a preliminary proof of concept. The HOD and Photo Z analysis are only placeholder tabs, they are not implemented in practice.

Data Download

Scroll down to Step 6: Format to select a format if you want to download a queried catalogue. Once the query finishes you will receive an email in the erc.cosmodark@gmail.com account (accesible with password DarkCosmo) with the link for download (found also under Activity).