nsstools 0.1.12

Tools for calculate campbell and covmat from Gaia CU4 sources

nsstools

This python tools has two methods that applies on nss_two_body_orbit Gaia DR3 solutions

• covmat: for all kind of nss_solution_type, converts the correlation matrix+uncertainties to the covariance matrix of the solution
• campbell: for a NSS solution that is either astrometric Orbital* or AstroSpectroSB1, converts the Thiele-Innes orbital elements to the Campbell elements and propagates the uncertainties. Ref: Halbwachs et al., 2022, Gaia Data Release 3. Astrometric binary star processing, Astronomy and Astrophysics, Appendix A input: dataframe output: dataframe

A R version is available here.

Installation

with pip

pip3 install --user nsstools

with setup

python3 setup.py install

Usage

See the notebook

import pandas as pd
from nsstools import NssSource

nss = pd.read_csv("tests/data/nss_two_body_orbit_sample.csv.gz")
source_index = 0 # position of the source in the csv file

source = NssSource(nss, indice=source_index)
print(source.covmat())
print(source.campbell())

Authors and acknowledgment

Authors: Nicolas Leclerc from a code by Jean-Louis Halbwachs and Carine Babusiaux. Reference: Halbwachs et al., 2022, Gaia Data Release 3. Astrometric binary star processing, Astronomy and Astrophysics, Appendix A and B. R version: https://gricad-gitlab.univ-grenoble-alpes.fr/ipag-public/gaia/nsstools