rosalia.attitude

File: Roman_Attitude.py Author: Maxime J Rizzo Email: maxime.j.rizzo@nasa.gov Date: 2025-11-18

Functions

create_subplot_grid(n_plots[, ...])	Create an optimal grid layout for an arbitrary number of plots
generate_power_law_sampling([n_points, ...])	Uses power law transformation for strong edge emphasis Higher power = more edge clustering
get_large_aperture(attitude_matrix[, ...])
get_radec(attitude_matrix)	Compute RA and DEC from spacecraft attitude matrix in icrs.
get_vector(target)	Convert SkyCoord object to unit vector. Parameters: ----------- target: SkyCoord object Returns: vector: numpy array, unit vector representation of target.
load_targets(target_list)	Load target coordinates from Excel file. Parameters: ----------- target_list: str, path to Excel file containing target coordinates Returns: tgt_list: list of SkyCoord objects.
main()
plot_targets_by_magnitude(x_coords, ...[, ...])	Create a scatter plot with marker sizes based on astronomical magnitudes.

Classes

RomanPointing([observation_date])

Spacecraft orientation and pointing for celestial targets.