jason-neal / companion_simulations Goto Github PK
View Code? Open in Web Editor NEWSimulating combined host+companion spectra, and fitting to observed crires spectra.
License: MIT License
Simulating combined host+companion spectra, and fitting to observed crires spectra.
License: MIT License
Some ideas:
Rather than trying to convert between different names.
Simplify parameter choices using config file, but have some simple defaults.
flag to chose a companion?
or automatically choose largest?
Try F = F * cont model / cont obs from chi**2 parameter paper renormalization of observation
For each observation.
Nuno suggests making a parabola line his lithium 6 paper.
For each parameter. Pick the chi2 value that is smallest and we should get a parabola.
He also suggest adding a variable normalization that is thrown away at the minimum chi2.
I could add another broadcasted parameter and multiple 1 model or obs by 0.98 and 1.02 and then reduce back to minimum chi 2 for each.
Combine the analysis from the 3 branches into one logical flow. Having a mode/model parameter to choose different code paths.
Need to switch rv and gamma in iam_fake_full_stack.py.
Can I interpolate Multi dimensional data along one axis?
To interpolate to the points of the observation.
Also for the doppler shift of the companion, and system.
DUsty, cond, btsettl etc
The available ones are downloaded onto exo
Try perform the chi square analysis in vectorized form.
Can probably do 3 or 4 dimensions at once.
Find out how to co-add chi2 values. from the same obervation together.
Do this for the enitire gird and then use that chi2 value as the minimum value.
Then average or co-add these across the observations.
broadcast the alpha parameter for the combined modeling.
something like
xy = x + y[:, np.newaxis] * alpha
will result in shape(len(x), len(alpha))
Be able to obtain the spectra with the 4 input parameters. teff feh logg alpha=0.
Be able to iterate over them.
Want to do the models on the outer loops, want to open each one as little as possible.
remove the performance tests and the tests for the old code.
To check that they recover sensible temperatures.
Try use lmfit to match observation to model.
Possibly all parameters. 2 templates, 2 rvs, and an alpha value.
Or else just 1 rv and correct to center of host.
I need to fix the contour plots to let each point be variable for all other parameters.
Not just fixed at the minimum chi squared value.
This will change the confidence levels and the shape hopefully.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.