VO SED Analyzer

If you are a new user, please, register.
If you don't remember your password, click here.

This application is based in VOSA (VO Sed Analyzer) software.

It is a tool designed to perform the following tasks in an automatic manner:

  • Read user photometry-tables.
  • Query several photometrical catalogs accessible through VO services (increases the wavelength coverage of the data to be analyzed).
  • Query VO-compliant theoretical models (spectra) and calculate their synthetic photometry.
  • Perform a statistical test to determine which model reproduces best the observed data.
  • Use the best-fit model.
(Note: currently available for planets detected by direct images and a limited collection of theoretical grids, developed for brown dwarfs and massive planets)

(Take a look to the VOSA Help)

You need a username and password to use the application because it keeps a number of files and database entries with your results and we need to be able to identify which results belong to each user so that you can recover them in future sessions. If you don't have a username and password yet, please feel free to register.

 

Acknowledging VOSA in publications:

Please include the following in any published material that makes use of VOSA:
This publication makes use of VOSA, developed under the Spanish Virtual Observatory (https://svo.cab.inta-csic.es) project funded by MCIN/AEI/10.13039/501100011033/ through grant PID2020-112949GB-I00.

The research leading to these results has received funding from the European Union's Horizon 2020 Research and Innovation Programme, under Grant Agreement nº 776403.

Referencing VOSA in publications:

If your research benefits from the use of VOSA, we would appreciate if you could include the following reference in your publication:
Bayo, A., Rodrigo, C., Barrado y Navascués, D., Solano, E., Gutiérrez, R., Morales-Calderón, M., Allard, F. 2008, A&A 492,277B.

Other services used in VOSA

VOSA uses some external services and theoretical models that you might want to cite or acknowledge if your science benefits from the use of this tool.

See the complete credits page

© CAB 2019