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mikecokina / elisa

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Analyzing several light curves simultaneously #18

Closed JLE64315 closed 11 months ago

JLE64315 commented 11 months ago

Thank for your code ELISA, it is very "friendly"

I wonder if there are any scripts (based on ELISA) about analyzing several light curves of the same binary system simultaneously.

Kind regards

mikecokina commented 11 months ago

Thank you for comment. Well, I am not sure what do you mean by "analyzing several light curves of the same binary system simultaneously". Can you elaborate further? Give me an example.

Thank You

JLE64315 commented 11 months ago

Of course, I am working in a eclipsing binary system with the next observables: 1 radial velocity curve 1 light curve in filter G 1 light curve in filter BP 1 light curve in filter RP Habitually in codes as Phoebe, or wilson-devinney, we analyze the four items simultaneously, Can we have a command or script to do that?

Thank you very much.

El mié, 22 nov 2023 a las 15:35, Mike @.***>) escribió:

Thank you for comment. Well, I am not sure what do you mean by "analyzing several light curves of the same binary system simultaneously". Can you elaborate further? Give me an example.

Thank You

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mikecokina commented 11 months ago

Well, as far as I remember, there is not way to fit RVs and LCs simultaneously. You can simultaneously fit LCs on different pass-bands, just have to define data as dictionary with key named as given filter supported by ELISa.

mirofedurco commented 11 months ago

Hi,

I would like to point you to the tutorials number 11 and 12. They refer to a fitting procedure of the same binary system. In the first step you will fit RV separately and establish mass ratio and a*sin(i) parameter since they can be derived from RV data more precisely. Then you can use them as constraints during LC fit. Multiuple passbands fitting is supported by adding additional keywords to the data argument in cell no. 7 in tutorial number 12.

JLE64315 commented 11 months ago

Thank you very much for your reply. I will try my best.

El mié, 29 nov 2023 a las 9:41, Miro Fedurco @.***>) escribió:

Hi,

I would like to point you to the tutorials number 11 https://github.com/mikecokina/elisa/blob/dev/jupyter_tutorials/demo11-rv_fitting.ipynb and 12 https://github.com/mikecokina/elisa/blob/dev/jupyter_tutorials/demo12-lc_fitting.ipynb. The refer to a fitting procedure of the same binary system. In the first step you will fit RV separately and establish mass ratio and a*sin(i) parameter since they can be derived from RV data more precisely. Then you can use them as constraints during LC fit. Multiuple passbands fitting is supported by adding additional keywords to the data argument in cell no. 7 in tutorial number 12.

— Reply to this email directly, view it on GitHub https://github.com/mikecokina/elisa/issues/18#issuecomment-1831451742, or unsubscribe https://github.com/notifications/unsubscribe-auth/AO7YHSXOUWOMMDM4OPJ6NMTYG3YKRAVCNFSM6AAAAAA7TPJQYKVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQMZRGQ2TCNZUGI . You are receiving this because you authored the thread.Message ID: @.***>

-- Javier Lorenzo Espinosa PhD. Ciencias