desertfireballnetwork / dfn_darkflight Goto Github PK
View Code? Open in Web Editor NEWDFN implementation of meteorite darkflight calculations
License: MIT License
DFN implementation of meteorite darkflight calculations
License: MIT License
Originally posted by pgrebolt May 29, 2023
Hi all,
I am working with the DFN darkflight modelling code and, looking deep into it, I think there are some conversions between frames that are not done properly. I have seen that when converting from ECI coordinates to LLH, a transformation involving ECEF->LLH is applied, thus neglecting any Earth rotation effect. For example, this occurs in df_functions.py
, in line 77 (AtmosphericModel). In my opinion, the steps should be ECI->ECEF->LLH. I have made the conversion as:
Pos_ECEF = ECI2ECEF_pos(Pos_ECI, t_jd)
Pos_LLH = ECEF2LLH(Pos_ECEF)
Similarly, this also happens in df_functions when converting the wind vector (in ENU) to ECI or in trajectory_utilities.py when computing gravity_vector()
. In the case of the wind vector I am now conducting the following conversion:
lat = float(Pos_LLH[0]); lon = float(Pos_LLH[1]) # (rad)
ENU2ECEF_matrix = ENU2ECEF(lat, lon)
Wind_ECEF = np.dot(ENU2ECEF_matrix, Wind_ENU)
Wind_ECI = ECEF2ECI(Pos_ECEF, Wind_ECEF, t_jd)[1] + v_rot
However, I am still wondering if in this case v_rot
should be added.
Has anyone wondered the same? Is it possible that I am missing some approximations between ECI and ECEF?
Thank you
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.