Pack: Astronomy Taverna 2.5 starter pack

Description:

Snippet showing how to use AstroTaverna tool for adding a common row to a whole VOTable. The input are two VOTable, the main one has a lis of sources and coordinates, to which is appended a common row "Object Type" with common values "Messier Object". Right click on tool may change configuration to append the common row to left or right side of main VOTable.

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Snippet showing how to use AstroTaverna tool for adding columns based on expressions of existing columns. The input is a VOTable with five columns. A new column is added considering the maximum value of the three last columns. All functions provided by STILTS Library may be used.

http://www.star.bris.ac.uk/~mbt/stilts/sun256/sun256.html#staticMethods

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Snippet showing how to use AstroTaverna tool for concatenating several VOTables. The input is four VOTables with the same number of columns. The result if using sample values provided will be a four times vertically duplicated VOTable.

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Snippet showing how to use AstroTaverna tool for concatenating two VOTables. The input is two VOTables with the same number of columns. The result if using sample values provided will be a vertically duplicated VOTable.

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Snippet showing how to use AstroTaverna tool for coordinate units conversion "Coordinates_units_conversion_in_VOTable". The input is a VOTable with three columns: SourceName, RA_J2000, DEC_J2000 in units degrees. Two conversions are performed on the coordinates for Right Ascension, first from degrees to radians, and a second one from radians to RA hours:minutes:seconds. Choices on the units to convert from and to may be set up in service configuration: right click on box "Coordinate units conversion".

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Snippet showing how to use AstroTaverna tool for crossmatching two VOTables

VOTable samples may be downloaded from MyExperiment http://www.myexperiment.org/files/911/versions/1/download/SDSS7.vot http://www.myexperiment.org/files/910/versions/1/download/2MASS.vot

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This module provides a VOTable representation of the CSV file being pointed by the csv_file_path, either as a POSIX local file path, or a URL.

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This workflow shows the use of the iteration strategy editor to ensure that only relevant combinations of inputs are used during an implicit iteration.

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Brown dwarfs are objects occupying the gap between the least massive stars and the most massive planets. They are intrinsically faint objects so their detection is not straighforward and, in fact, was almost impossible until the advent of global surveys at deep optical and near-infrared bands like SDSS, 2MASS or DENIS among others. Here we propose to mine the SDSS and 2MASS databases to identify T-type brown dwarfs through an appropriate combination of colours in the optical and the infra-red.

Ref: http://www.euro-vo.org/fc/workflows/BDs.html

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This workflow only works on a Unix machine.

This workflow takes a fixed URL from which a text file is downloaded (output as Original_file). That file is zipped (output as Zipped_File) and then unzipped again (output as Unzipped_File). The orginal file and the unzipped version are then diff'd/

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This workflow demonstrates how nested workflows can be conditionally invoked

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This workflow demonstrates how a nested workflow can be called an explicit number of times. Note that the loop iterator does not need to be used in the logic of the loop contents. It can be used as a sentinel (see the conditional workflow)

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This workflow fetches weather forecast for the user-specified location.

First of all it uses the provided location name to obtain a WOEID ("Where On Earth ID") of that location, then uses that unique identifier to fetch the weather forecast from Yahoo server.

Multiple results may be obtained in case there is no unique translation of the location to a WOEID.

REST activity is used to perform HTTP requests and fetch data from remote servers; XPath activity is then used to parse the XML data and extract only selected elements.

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Snippet showing how to use Taverna Tool in Service template folder for executing a Python script. This workflow needs Python to be installed on the local system, and declared in the PATH enviromental variable, so any python script could be executed from a terminal.

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Snippet showing how to use AstroTaverna tool for extracting a column from a VOTable into a single List.

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Use the local services and some filtering operations to fetch the comic strip image from http://xkcd.com/

Based on the FetchDailyDilbert workflow.

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An extension to helloworld.t2flow - this workflow takes a workflow input "name" which is combined with the string constant "Hello, " using the local worker "Concatenate two strings", and outputs the produced string to the workflow output "greeting".

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One of the simplest workflows possible. No workflow input ports, a single workflow output port "greeting", outputting "Hello, world!" as produced by the String Constant "hello".

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Snippet showing how to use AstroTaverna tool for joining two VOTables. The input is two VOTables with the same number of rows. The result if using sample values provided will be an horizontally duplicated VOTable.

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A fun example workflow showing user-interaction and service looping

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This workflow relies on a Unix system. It wraps the "bc" command line calculator. It downloads the calculation script from a URL.

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Snippet showing how to use AstroTaverna "VO service perspective" for performing ConeSearch queries on VO Services. The result is a VOTable that may be renderized properly in the perspective Results, coosing Value Type as VOTable.

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Snippet showing how to use AstroTaverna "VO service perspective" for performing SIA queries on Image VO Services. The result is a VOTable that may be renderized properly in the perspective Results, choosing Value Type as VOTable. In this particular case the Image Service queried is the Infrared Space Observatory (ISO) Data Archive SIAP Service, with coordinates RA, DEC of 30, 30 and 10 degrees in size.

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Snippet showing how to use AstroTaverna "VO service perspective" for performing SSA queries on Spectral VO Services. The result is a VOTable that may be renderized properly in the perspective Results, choosing Value Type as VOTable. In this particular case the Spectral Service queried is the Galexy Evolution Explorer (GALEX) SSA Service, with coordinates RA, DEC of 25, 22 and 1 degree in size.

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Snippet showing how to use AstroTaverna "VO service perspective" and other tools for performing Multi-ConeSearch queries to a VO Services. The input is a VOTable with a list of source names and coordinates to perform the multi-query. Please *note how the AMIGACS block list handling is cofigured* with right click -> Configure running -> List Handling. Add_n_concat_tables tool is used to concatenate the list of responses issued from the multiquery. The result is a VOTable that may be renderized properly in the perspective Results, coosing Value Type as VOTable.

Description:

Snippet showing how to use AstroTaverna "VO service perspective" and other tools for performing Multi-SIA queries to Image VO Services. The input is a VOTable with a list of source names and coordinates to perform the multi-query. Add_n_concat_tables tool is used to concatenate the list of responses issued from the multiquery. The result is a VOTable that may be renderized properly in the perspective Results, choosing Value Type as VOTable. It may also be sent via SAMP to other VO soft implementing SAMP. In this particular case, the Image Service queried is the "The Hubble Space Telecope Legacy Archive (HLA)"

Description:

Snippet showing how to use AstroTaverna "VO service perspective" and other tools for performing Multi-SSA queries to Spectral VO Services. The input is a VOTable with a list of source names and coordinates to perform the multi-query. Add_n_concat_tables tool is used to concatenate the list of responses issued from the multiquery. The result is a VOTable that may be renderized properly in the perspective Results, choosing Value Type as VOTable. It may also be sent via SAMP to other VO soft implementing SAMP. In this particular case, the Spectral Service queried is the NASA/IPAC Extragalactic Database SED Data Discovery Service

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Perform multiple iterations of services in order to show pipelining

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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 total luminosity using the velocity and the total apparent corrected B-magnitude. More information in the nested workflows.

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Snippet showing how to use AstroTaverna tool for coordinates resolving. The input is a list of source names and the output is a VOTable with three columns: SourceName, RAJ2000, DECJ2000.

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This is a smal workflow that retrieves bibliography from Literature NED Web Service http://ned.ipac.caltech.edu/forms/SearchRefsByObjectName.html

The input is a list of source names and the output is a VOTable with the info provided by NED, plus an extra column with the link pointing to the bliography in the NED website. This VOTable may be sent to Topcat via SAMP and the content of the "Link column" used as an action to display the website content in a browser when clicked. Note that the output VOTable is produced in a way all bibliographic references are packed with their correspondent source.

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Snippet showing how to use Taverna REST Service tool for performing a query to a standard REST Service. In this particular case, the query is performed against NED_basic_posn REST Service from NASA Extragalactic Database (NED) Archive for the object M51. The result is a VOTable that may be renderized properly in the perspective Results, choosing Value Type as VOTable.

More info on NED Web Serces: http://adsabs.harvard.edu/abs/2007ASPC..382..165M

Description:

This workflow retieves information from Hubble Space Telescope VO Services in the form of VOTables. The input of the workflow is an ASCII file with a list of source names. This file is converted to a VOTable, and coordinates added with an extra-column needed to query SIAP Image service. The final result are two different VOTables issued as the response of both VO Services, Images VOTable has been previously filtered.

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This VOTable is used in workflow snippets provided in AstroTaverna starter pack

Description:

This VOTable is used in workflow snippets provided in AstroTaverna starter pack

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This is an example of a workflow that contains a call to a secure REST service that requires user to authenticate with HTTP Basic Authentication. You can use testuser/testpasswd as username and password for authentication when running the workflow.

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This is an example of a workflow that contains a call to a secure Web service that runs behind HTTPS and requires user to authenticate. The first thing you can expect to see is a pop up dialog asking if you trust the Web service to be invoked over HTTPS. You can use testuser/testpasswd as username and password for authentication when running the workflow. To see where the security is being configured, right-click the service in the diagram and select "Configure security" from the menu.

You may experience problems running this workflow under versions of Java greater than 1.6. This is due to a change in security handling.

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Snippet showing how to use AstroTaverna tool for selecting/filtering columns from a VOTable.

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Snippet showing how to use AstroTaverna tool for selecting/filtering rows from a VOTable. Functions provided by STILTS Library may be used.

http://www.star.bris.ac.uk/~mbt/stilts/sun256/sun256.html#staticMethods

Description:

This workflow generates a random number within the range 0 to 100. The generation is done by a python script.

The workflow assumes that python is in the path.

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Example using the SpreadsheetImport service to import data from an Excel spreadsheet. The workflow imports the file spreadsheet file WaterUse.xlsx and generates a graph from the date. The source data is from http://data.gov.uk/

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Snippet showing how to use AstroTaverna tool for table format conversion

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Snippet showing how to use AstroTaverna tool for reference coordinate system transformation. The input is a list of source names and coordiantes and the output is a VOTable with two added columns for Galactic Latitude and Galactic Longitude.

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The tool service outputs a message that greets using the names specified on Greet's input ports.

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Snippet showing how to use AstroTaverna tool "Fill template from VOTable" for creating temporary files filling a template provided by the user. The input is two templates a one VOTable with information on where to store files created from filling the templates. The VOTable also contains data values to fill the templates. This snippet is particularly useful when a local tool needs different configuration files when looping through different executions.