The BONNSAI project

Select Stellar Models:

Welcome to the BONNSAI web-service.

BONNSAI, the BONN Stellar Astrophysics Interface, is a Bayesian statistical method that is capable of comparing all available observables simultaneously to stellar models while taking observed uncertainties and prior knowledge such as initial mass functions and distributions of stellar rotational velocities into account. BONNSAI can be used to (1) determine probability distributions of fundamental stellar parameters such as initial masses and stellar ages from complex datasets, (2) predict stellar parameters that were not yet observationally determined and (3) test stellar models to further advance our understanding of stellar evolution. A full description of BONNSAI is published in Schneider et al. (2014, A&A, 570, 66).

There are only four steps involved to submit a job:

    Select stellar models to which the observables shall be matched.

    Provide the observables including their uncertainties.

    Choose priors and output quantities.

    Submit your request.

Once your job is finished, you will receive an email with a link to your results.

To start submitting a job, select the stellar models to match your observables to from the above drop-down menu. In case you have any questions, comments or suggestions do not hesitate to contact us. We hope you enjoy using BONNSAI.

If you use BONNSAI for your work, please cite it as "BONNSAI1 (Schneider et al. 2014)" and provide a footnote containing the URL to this web-service:
"1The BONNSAI web-service is available at www.astro.uni-bonn.de/stars/bonnsai."

Thank you for using BONNSAI!

Welcome to the BONNSAI web-service.

BONNSAI, the BONN Stellar Astrophysics Interface, is a Bayesian statistical method that is capable of comparing all available observables simultaneously to stellar models while taking observed uncertainties and prior knowledge such as initial mass functions and distributions of stellar rotational velocities into account. BONNSAI can be used to (1) determine probability distributions of fundamental stellar parameters such as initial masses and stellar ages from complex datasets, (2) predict stellar parameters that were not yet observationally determined and (3) test stellar models to further advance our understanding of stellar evolution. A full description of BONNSAI is published in Schneider et al. (2014, A&A, 570, 66).

There are only four steps involved to submit a job:

    Select stellar models to which the observables shall be matched.

    Provide the observables including their uncertainties.

    Choose priors and output quantities.

    Submit your request.

Once your job is finished, you will receive an email with a link to your results.

To start submitting a job, select the stellar models to match your observables to from the above drop-down menu. In case you have any questions, comments or suggestions do not hesitate to contact us. We hope you enjoy using BONNSAI.

If you use BONNSAI for your work, please cite it as "BONNSAI1 (Schneider et al. 2014)" and provide a footnote containing the URL to this web-service:
"1The BONNSAI web-service is available at www.astro.uni-bonn.de/stars/bonnsai."

Thank you for using BONNSAI!

Welcome to the BONNSAI web-service.

BONNSAI, the BONN Stellar Astrophysics Interface, is a Bayesian statistical method that is capable of comparing all available observables simultaneously to stellar models while taking observed uncertainties and prior knowledge such as initial mass functions and distributions of stellar rotational velocities into account. BONNSAI can be used to (1) determine probability distributions of fundamental stellar parameters such as initial masses and stellar ages from complex datasets, (2) predict stellar parameters that were not yet observationally determined and (3) test stellar models to further advance our understanding of stellar evolution. A full description of BONNSAI is published in Schneider et al. (2014, A&A, 570, 66).

There are only four steps involved to submit a job:

    Select stellar models to which the observables shall be matched.

    Provide the observables including their uncertainties.

    Choose priors and output quantities.

    Submit your request.

Once your job is finished, you will receive an email with a link to your results.

To start submitting a job, select the stellar models to match your observables to from the above drop-down menu. In case you have any questions, comments or suggestions do not hesitate to contact us. We hope you enjoy using BONNSAI.

If you use BONNSAI for your work, please cite it as "BONNSAI1 (Schneider et al. 2014)" and provide a footnote containing the URL to this web-service:
"1The BONNSAI web-service is available at www.astro.uni-bonn.de/stars/bonnsai."

Thank you for using BONNSAI!

Welcome to the BONNSAI web-service.

BONNSAI, the BONN Stellar Astrophysics Interface, is a Bayesian statistical method that is capable of comparing all available observables simultaneously to stellar models while taking observed uncertainties and prior knowledge such as initial mass functions and distributions of stellar rotational velocities into account. BONNSAI can be used to (1) determine probability distributions of fundamental stellar parameters such as initial masses and stellar ages from complex datasets, (2) predict stellar parameters that were not yet observationally determined and (3) test stellar models to further advance our understanding of stellar evolution. A full description of BONNSAI is published in Schneider et al. (2014, A&A, 570, 66).

There are only four steps involved to submit a job:

    Select stellar models to which the observables shall be matched.

    Provide the observables including their uncertainties.

    Choose priors and output quantities.

    Submit your request.

Once your job is finished, you will receive an email with a link to your results.

To start submitting a job, select the stellar models to match your observables to from the above drop-down menu. In case you have any questions, comments or suggestions do not hesitate to contact us. We hope you enjoy using BONNSAI.

If you use BONNSAI for your work, please cite it as "BONNSAI1 (Schneider et al. 2014)" and provide a footnote containing the URL to this web-service:
"1The BONNSAI web-service is available at www.astro.uni-bonn.de/stars/bonnsai."

Thank you for using BONNSAI!

Welcome to the BONNSAI web-service.

BONNSAI, the BONN Stellar Astrophysics Interface, is a Bayesian statistical method that is capable of comparing all available observables simultaneously to stellar models while taking observed uncertainties and prior knowledge such as initial mass functions and distributions of stellar rotational velocities into account. BONNSAI can be used to (1) determine probability distributions of fundamental stellar parameters such as initial masses and stellar ages from complex datasets, (2) predict stellar parameters that were not yet observationally determined and (3) test stellar models to further advance our understanding of stellar evolution. A full description of BONNSAI is published in Schneider et al. (2014, A&A, 570, 66).

There are only four steps involved to submit a job:

    Select stellar models to which the observables shall be matched.

    Provide the observables including their uncertainties.

    Choose priors and output quantities.

    Submit your request.

Once your job is finished, you will receive an email with a link to your results.

To start submitting a job, select the stellar models to match your observables to from the above drop-down menu. In case you have any questions, comments or suggestions do not hesitate to contact us. We hope you enjoy using BONNSAI.

If you use BONNSAI for your work, please cite it as "BONNSAI1 (Schneider et al. 2014)" and provide a footnote containing the URL to this web-service:
"1The BONNSAI web-service is available at www.astro.uni-bonn.de/stars/bonnsai."

Thank you for using BONNSAI!

Welcome to the BONNSAI web-service.

BONNSAI, the BONN Stellar Astrophysics Interface, is a Bayesian statistical method that is capable of comparing all available observables simultaneously to stellar models while taking observed uncertainties and prior knowledge such as initial mass functions and distributions of stellar rotational velocities into account. BONNSAI can be used to (1) determine probability distributions of fundamental stellar parameters such as initial masses and stellar ages from complex datasets, (2) predict stellar parameters that were not yet observationally determined and (3) test stellar models to further advance our understanding of stellar evolution. A full description of BONNSAI is published in Schneider et al. (2014, A&A, 570, 66).

There are only four steps involved to submit a job:

    Select stellar models to which the observables shall be matched.

    Provide the observables including their uncertainties.

    Choose priors and output quantities.

    Submit your request.

Once your job is finished, you will receive an email with a link to your results.

To start submitting a job, select the stellar models to match your observables to from the above drop-down menu. In case you have any questions, comments or suggestions do not hesitate to contact us. We hope you enjoy using BONNSAI.

If you use BONNSAI for your work, please cite it as "BONNSAI1 (Schneider et al. 2014)" and provide a footnote containing the URL to this web-service:
"1The BONNSAI web-service is available at www.astro.uni-bonn.de/stars/bonnsai."

Thank you for using BONNSAI!