exoplanet | Fast & scalable MCMC for all your exoplanet needs | Time Series Database library
kandi X-RAY | exoplanet Summary
kandi X-RAY | exoplanet Summary
Fast & scalable MCMC for all your exoplanet needs! exoplanet is a toolkit for probabilistic modeling of time series data in astronomy with a focus on observations of exoplanets, using PyMC3. PyMC3 is a flexible and high-performance model building language and inference engine that scales well to problems with a large number of parameters. exoplanet extends PyMC3's language to support many of the custom functions and distributions required when fitting exoplanet datasets. Read the full documentation at docs.exoplanet.codes.
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Top functions reviewed by kandi - BETA
- Calculate the eccentricity of a given duration
- Determine the input parameters
- Convert obj to a unit
- Convert x to a tensor
- Compute the light curve
- Interpolate interpolation
- Return the position and velocity of the planet
- Rotate a vector
- Returns the true anomaly
- Warp time t
- Calculate the relative angles at time t
- Compute the retarded position
- Compute the position at a given time t
- Mark a function as deprecated
- Compute the ccl
- Find a meta string
- Warp TTVs at time t
- Get the model for the given tt
exoplanet Key Features
exoplanet Examples and Code Snippets
Community Discussions
Trending Discussions on exoplanet
QUESTION
I am using lightkurve 2.0.2 library with Python 3.8.5 and astropy 4.2 for processing exoplanet transits. However when I want to bin light curve to fixed number of points, all values in light_curve.flux except first two are nan. What I am doing wrong?
ANSWER
Answered 2021-Mar-18 at 19:42In your case, binning is done based on the time data of the fold variable. Let's have a look at the data:
QUESTION
I'm trying to run the below code, but got this error.
OperationFailure: The field 'planet' must be an accumulator object, full error: {'operationTime': Timestamp(1614568170, 1), 'ok': 0.0, 'errmsg': "The field 'planet' must be an accumulator object", 'code': 40234, 'codeName': 'Location40234', '$clusterTime': {'clusterTime': Timestamp(1614568170, 1), 'signature': {'hash': b'\xa4\xd9\xcd\xae\xd9\x91\x05G;{L\x8d8\xaf\xea\xca\x03\xe9\xd5\xc6', 'keyId': 6902062171803353090}}} SEARCH
When I removed this part
...ANSWER
Answered 2021-Mar-01 at 08:08
"errmsg" : "The field 'planet' must be an accumulator object"
The error is in the following group stage:
QUESTION
I have a astropy.timeseries.BoxLeastSquaresResults object, and I want to find the uncertainty in the depth property for a light curve (from an exoplanet transit). There is an attribute called depth_err, and the documentation says:
depth_err : array_like or Quantity
The 1-sigma uncertainty on depth.
But at the peak period for my data, depth[max] = 0.0157 but depth_err[max] = 0.319 (max is the index at the peak power). I don't understand how the uncertainty could be more than 10 times larger than the value itself, and there are no units or other documentation I can find describing this attribute.
What does depth_err mean? What units is it in?
ANSWER
Answered 2021-Feb-10 at 20:15depth_err is the uncertainty on depth, but the reason the uncertainty was 10 times larger than the value itself was because I did not supply the uncertainties in the data points themselves to the BoxLeastSquares object.
From the respective documentation:
astropy.timeseries.BoxLeastSquares(t, y, dy=None)dy: float, array_like, or Quantity, optional
Error or sequence of observational errors associated with times
t.
Without supplying dy here, no error is raised but the depth_err values are useless.
Note also that if there are any NaNs or infs in your data or errors, the BoxLeastSquaresResults object won't work.
However, with clean data and the dys provided, my depth errors are around a nice 1%.
QUESTION
with open('exoplanets.csv') as infile:
planets = {}
lines = infile.readline()
for line in infile:
reader = csv.reader(infile)
number = [line]
methods, number, orbital_period, mass, distance, year = (s.strip(' ') for s in line.split(','))
planets[methods] = (number, orbital_period, mass, distance, year)
print(planets)
ANSWER
Answered 2020-Jun-07 at 20:48Check this code:
QUESTION
I have a csv file (image attached) and to take the CSV file and create a dictionary of lists with the format "{method},{number},{orbital_period},{mass},{distance},{year}" .
So far I have code :
...ANSWER
Answered 2020-Jun-07 at 17:36This is a bit complex, and I'm questioning why you want the data this way, but this should get you the output format you want without requiring any external libraries like Pandas.
QUESTION
I'm new on the deep learning subjects, i need help for getting individual probabilities for each class on a Keras artificial neural network(A.N.N.) model.I have an exoplanet catalog dataset from PHL and i'm trying to make predictions according to whether planet is habitable, maybe habitable or not habitable.For now i have tried A.N.N. with some important columns like
...ANSWER
Answered 2020-Mar-28 at 20:41- Try adding class_weight, assign high weight to class 1
QUESTION
I'm using the pymc3 module for some curve fitting and while following the tutorial, I came across an unfamiliar term: Deterministic Transformations. I was just wondering what exactly these deterministic transformations do?
Link to the tutorial https://exoplanet.dfm.io/en/stable/tutorials/intro-to-pymc3/#intro-to-pymc3
I tried to look into the documentation but I didn't really understand it.
...ANSWER
Answered 2019-Aug-19 at 17:08I actually found the answer
I dont know how I missed it; perhaps, I skimmed over it.
According to the documentation, Deterministic Transformations allow you to freely do algebra with RVs in all kinds of ways
QUESTION
I currently have a graph of exoplanets' insolation vs density, with different colors contributing to different orbit periods. I have the color situation figured out, I'm just confused on how to set the legend. Here's what I have.
...ANSWER
Answered 2019-Jun-22 at 03:56You could have your legend labels (let's call it "labels") in a vector of the same length as your "x" vector, and just do:
QUESTION
i have to run an application from a local repo (called exoplanet-explorer). I installed Node.js and Git, and I followed these steps:
in the command line of Git Bash:
...ANSWER
Answered 2018-Jun-23 at 19:40I am working on the same project and I had the exact same issues, using Windows 10 Home, git version 2.15.1.windows.2 and node v8.11.3, npm v6.1.0, bower v1.8.4, gulp v3.9.1. I looked to where the bower_components folder is supposed to be located and there is absolutely nothing there. I also opened bash as administrator to install.
If you are having these errors, bower is NOT installing the polymer-starter-kit properly for whatever reason or you forgot/failed to install it yourself. I actually watched my installs fail, as over and over i would install, type "bower list" and it would tell me the polymer files in the starter kit that I needed, were still not installed - but I just saw the files install.
So I had to do a "bower install -f polymer-starter-kit" after i did this and then installed gulp and typed gulp serve everything worked perfectly. Hope this helps someone else - I just spent over 16 hours yesterday and 5 today trying to figure this out. NOTE: you might want to do a "bower cache clean" first.
QUESTION
I try to read XML into data frame in PySpark. From the docs of Databricks I figured how to load xml file but returned data frame is empty. Example how I read the file and file that I try to parse is posted below.
...ANSWER
Answered 2018-Dec-05 at 12:07In the books.xml from spark-xml row tag contains child tags which will be parsed as row fields. In my examples there is no child tags only attributes. It was the main reason that no error was thrown and result was empty data frame. I think it should be fixed in the next versions of spark-xml.
I used spark-2.1.0 and spark-xml-0.4.0.
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