Workflows

Curves Exploration (1)

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Exploration of curves of cubes that contain galaxy observations

Created: 2014-02-12

Credits: Julian Garrido

Retrieve object properties from NED and VO... (4)

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From an initial list of galaxy names, retrieve some of their properties from Virtual Observatory archives and services (NASA Extragalactic Database NED), and calculate others like Distance, based on the ones previously obtained (e.g. recession velocity, equatorial and galactic coordinates). The sample is filtered in a later step with criteria related to the angular size of the object and its declination. The goal is to build a sample of objects and their properties with up-to-date physical in...

Created: 2013-04-25 | Last updated: 2013-06-27

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: Juandesant Jsm

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: Juandesant Jsm

Get completion function V / Vm using the a... (1)

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Get completion function V / Vm using the apparent magnitude list of a set of galaxies

Created: 2012-09-03 | Last updated: 2012-09-03

Credits: Julian Garrido

VOTable of NED Images from a List of Objects (1)

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Extraction of metadata using NED Image Virtual Observatory Service into a single VOTable, providing a list of objects and the width for each field in arcmin. Among the most relevant metadata are the URL link to the FITS images. This Wf makes use of a Tool developed as an internal pyhton script file.

Created: 2012-07-01 | Last updated: 2012-07-01

Credits: Jose Enrique Ruiz

Attributions: Astronomical object name to equatorial coordinates Resolver

Calculation of distances, magnitutes and l... (2)

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Calculation of distances, corrected apparent B magnitude mB-corr and luminosities with values gathered from the HyperLEDA database. This workflow receives a list of galaxy names (hyperLEDA names. ie: KIG0001) and a file with the morphological types of those galaxies Using the name of a galaxy, the workflow querys Hyperleda to extract some properties of this galaxy (J2000 Coordinates, velocity, galactic extinction,log of axis ratio, and the Total B-magnitude ). With this properties it calcula...

Created: 2012-01-10 | Last updated: 2012-01-16

Credits: Stian Soiland-Reyes

Attributions: Calculation of distances, magnitutes and luminosities using HyperLEDA Data involved in RO Propagation of quantities Scripts in RO Propagation of quantites

Comparison and update values (1)

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This workflow receives two files, the name of a table and the name of a field as input. One of the file should be contain a list of old values (name galaxy and value), and the other one should be a list of new values (name galaxy,value) The workflow makes a comparison between the two files. This comparison will be a list of 7 columns: name of the galaxy, old value, old error, new value, new error, difference of value, difference of error. In other hand, this workflow makes a sql script with ...

Created: 2011-11-30 | Last updated: 2011-11-30

Gathering galaxy properties using HyperLEDA (2)

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The user provides an ASCII text file with a list of galaxy names, and the workflow queries the HyperLEDA database and parses the response with the help of regular expressions included in simple Python scripts. The result of the workflow is a series of ASCII text files with the values of the equatorial coordinates in J2000 epoch, the velocities in km/s, the dust extinction coefficient Ag, the axis ratio of the isophote 25 mag/arcsec2 logr25 and the apparent total B magnitude BT. The performanc...

Created: 2011-11-30 | Last updated: 2013-03-08

Propagation of physical quantities in the ... (3)

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This workflow takes as input a file for each of this properties: J2000 Coordinates, velocity, galactic extinction, log of axis ratio, and the Total B-magnitude. With this properties it calculates the distance of the galaxy and, in other hand, the total apparent corrected B-magnitude. It takes account if the velocity of the galaxy is lower than a threshold (1000km/s), it can not be possible to calculate the distance so, in those cases the distance will be "NaN". At the end, it calculates the ...

Created: 2011-11-30 | Last updated: 2013-04-22