Crate mavdac 

mavdac

MAVIS Differential Astrometric Calibrator. This crate provides the low-level functions used by the high-level Python API (see mavdac on github). The intented usage of this crate is through the Python API, but it may be possible to build other calibration tools on top of this crate.

Examples

use mavdac::{Image,Grid,Vec2D};
let imgs: Vec<Image> = mavdac::load_images("./imgs/img_*.fits").unwrap();
let grid = Grid::Hex {
    pitch: 100.0,  // pixels
    rotation: 0.0,  // radians
    offset: Vec2D{x:0.0,y:0.0}  // pixels
};
let cogs = mavdac::measure_cogs(
    imgs,  // vector of images
    grid,  // grid geometry
    10,  // radius for centroider
    10_000.0,  // flux threshold for "valid" cogs
);
// all of the remaining tasks are done in python, since numpy.linalg is more
// reliable than any rust linalg solution I tried. 

Structs

BiVarFourierDistortions

Bivariate Fourier-Based functions to be used as distortion basis function

BiVarPolyDistortions

Bivariate Homogenous Polynomial to be used as distortion basis function

Centroid

centroid type, to be populated by centroider

Coordinate

coordinate struct for interfacing with coordinate files

Image

Image struct, with metadata corresponding to calibration

Vec2D

2D vector, corresponding to float-valued pixel positions

Enums

Grid

Grid type, defined from minimal parameters but able to determine all possible pinhole positions.

MavDACError

error type for mavdac crate

Traits

DistortionBasis

Trait that allows standard evaluation of distortion functions

Functions

get_coordinates

read coordinates from file

load_images

Load images from disk given a glob pattern

measure_cogs

measured centroids from a set of images

Type Aliases

Result