François-Xavier Pineau

@JohannesBuchner (and @fcivano ) I am discovering this thread: better late than never. The formalism I am using in the paper also consider a local tangential plane as described in...

Hi @mcoughlin, thank you for your message. So far, there is no way to do this. But, I think it can be implemented quite easily. If I understand correctly, you...

@mcoughlin, @ManonMarchand, I just added the functionality in [MOC Lib Rust](https://github.com/cds-astro/cds-moc-rust) (see [this commit](https://github.com/cds-astro/cds-moc-rust/commit/e668d8f10837ed813b616a80c229b8a52a89710f)) and in [moc-cli](https://github.com/cds-astro/cds-moc-rust/tree/main/crates/cli) (see [this commit](https://github.com/cds-astro/cds-moc-rust/commit/5ae3c1f9359fe9d18e61fedf913e81cf70e1908a)) but it is not released yet (only pushed in the...

@ManonMarchand for the Rust part, as a starting point, see the new branch [mom_sum](https://github.com/cds-astro/mocpy/tree/mom_sum).

I am actively maintaining and developing a Rust VOTable parser available on [crates.io](https://crates.io/crates/votable). (@neutrinoceros, you are learning Rust according to your github page ;) ). The source code is open...

Ok. Just in case, we have some experience of mixed Rust/Python packages with [MOCPy](https://github.com/cds-astro/mocpy) which is an astropy affiliated package available in both [pypi](https://pypi.org/project/mocpy/) and [conda](https://anaconda.org/conda-forge/mocpy), see mocpy feedstock recipe...

@pllim I am not sure of what you mean exactly. The CDS is involved in the IVOA, in making some of its standards and implementations. Regarding MIVOT in particular, @lmichel...

[cdshealpix](https://github.com/cds-astro/cds-healpix-python) is now in [conda-forge](https://anaconda.org/conda-forge/cdshealpix) and does not require nightly builds any more: ``` conda install -c conda-forge cdshealpix ```

I don't know if it helps but in the case of the CDS Java HEALPix lib I developed, I replaced `\sqrt{3(1-\sin\delta)}` by the equivalent `\sqrt{6}\cos(\delta/2 + \pi/4)` for the Collignon...

(In your lib, see more efficient algo to compute the Morton code for not small orders here: https://graphics.stanford.edu/~seander/bithacks.html#InterleaveTableLookup)