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Blob D5.3v2 Calculation of Luminosity Profiles for a Samp...

Created: 2013-01-05 16:45:48 | Last updated: 2013-01-05 16:48:45

Credits: User Jose Enrique Ruiz

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This document describes the development of the second Golden Exemplar proposed in Work Package 5: Workflow Astronomy Preservation, and provides discussion about user-driven issues risen in this process and related with general objectives of the Wf4Ever project. The document pertains to the assembly of two Research Objects (RO) packing the digital experiment undertaken for the extraction of a sample of galaxies based on environmental criteria and the calculation of luminosi...

File type: Adobe PDF

Comments: 0 | Viewed: 73 times | Downloaded: 228 times

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Pack Luminosity Profiles Research Object


Created: 2013-01-05 16:34:46 | Last updated: 2013-01-05 16:58:18

In order to understand the evolution of galaxies, detailed analysis of images plays a key role. During the last years telescopes working at different wavelengths have been imaging the whole sky. One example of this is the Sloan Digital Sky Survey. The generated images provides a wealth of information, publicly available, and hence allowing them to be used by any interested group in the study of their own samples of objects or generation of new samples. The two main processing of the images ge...

7 items in this pack

Comments: 0 | Viewed: 57 times | Downloaded: 20 times

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Workflow Environment (2)

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From a previously selected cube of galaxies residing in a remote database, we provide extragalactic environment parameters for all galaxies sample. This workflow takes as input the path of the tabular *.pckl Python pickle dataset created in the previous workflow, as well as the database connection settings and several criteria on how to filter the potential companions of the target galaxies. It provides a file with the SDSS identifiers of each target galaxy of the sample, environmental estim...

Created: 2013-01-04 | Last updated: 2013-01-14

Credits: User Juandesant User Jsm

Workflow Intialize Sample (2)

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This workflow saves a tabular *.pckl Python pickle dataset in the local file system, containing values calculated on physical parameters associated to potential companions of a sample of target galaxies. These original physical parameters are extracted from a postgreSQL database, containing information of all galaxies covered by the SDSS spectroscopic survey. The workflow first access the external database located in the AMIGA server and selects the target galaxies from the sample (those havi...

Created: 2013-01-04 | Last updated: 2013-01-05

Credits: User Juandesant User Jsm

Workflow Non-redundant protein alignments (1)

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Execute BLASTP program to search protein databases using a protein query: Input file from iPlant Discovery Environment Save the data extract of similar sequences created by BLASTP Execute XMKNR to a compute a non-redundant set from a large collection of protein sequences. Input from the data extract created by BLASTP. Perform multiple sequence alignments using Clustal Omega and TCoffee Input from data extract created by XMKNR To execute this workflow, you need to be logged into the Bio...

Created: 2012-12-19 | Last updated: 2012-12-19

Credits: User Carol Lushbough

Workflow Ingest.t2flow (1)

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 characterisation of NeXus files

Created: 2012-12-19

Credits: User Arifshaon

Uploader

Workflow AIT Matchbox Scenario Compare Image Pair b... (1)

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In this scenario matchbox will compare given image pair based on extracted profile information. User will get a histogram intersection distance value in result. Small value means high similarity, high value means different images. Matchbox in this scenario is installed on remote Linux VM. Digital collection is stored on Windows machine.

Created: 2012-11-24

Credits: User Roman

Uploader

Workflow AIT Matchbox Scenario Check Duplicate Pair... (1)

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In this scenario matchbox will check duplicate pair of previously found duplicates in passed digital collection if output information was lost. The pair check does not require the time consumpting whole analysis and is very fast. Matchbox in this scenario is installed on remote Linux VM. Digital collection is stored on Windows machine.

Created: 2012-11-24

Credits: User Roman Network-member SCAPE

Uploader

Workflow AIT Matchbox Scenario Find Duplicates usin... (1)

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In this scenario matchbox will find duplicates in passed digital collection. All matchbox workflow steps are defined separately using input parameter sequence: clean, extract, train, bowhist and compare. User will get a list of duplicates in result. Matchbox in this scenario is installed on remote Linux VM. Digital collection is stored on Windows machine.

Created: 2012-11-24

Credits: User Roman Network-member SCAPE

Uploader

Workflow AIT Matchbox Scenario Professional (3)

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In this scenario matchbox will find duplicates in passed digital collection. Each matchbox workflow step can be executed separately. User will get a list of duplicates in result. Matchbox in this scenario is installed on remote Linux VM. Digital collection is stored on Windows machine. This workflow starts duplicate finding process using the FindDuplicates python script of the matchbox tool. Matchbox tool support python in version 2.7. Execution starts from the directory where python scripts ...

Created: 2012-11-24 | Last updated: 2012-11-24

Credits: User Roman Network-member SCAPE

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