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//! BYO Array Example | ||
//! This example demonstrates how to use the `birli` library to preprocess and write out a UVFITS file | ||
//! from a set of gpubox files and a metafits file. | ||
//! It uses the `mwalib` and `marlu` libraries to read in the gpubox files and metafits file. | ||
//! It then uses the `birli` library to preprocess the data and write out a UVFITS file. | ||
//! | ||
//! ```bash | ||
//! cargo run --example preprocess \ | ||
//! output.uvfits \ | ||
//! tests/data/1196175296_mwa_ord/1196175296.metafits \ | ||
//! tests/data/1196175296_mwa_ord/1196175296_20171201145440_gpubox01_00.fits | ||
//! ``` | ||
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use std::path::PathBuf; | ||
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use birli::{ | ||
flag_to_weight_array, | ||
flags::get_weight_factor, | ||
io::{read_mwalib, write_uvfits}, | ||
marlu::{ | ||
constants::{ | ||
COTTER_MWA_HEIGHT_METRES, COTTER_MWA_LATITUDE_RADIANS, COTTER_MWA_LONGITUDE_RADIANS, | ||
}, | ||
mwalib::CorrelatorContext, | ||
LatLngHeight, RADec, | ||
}, | ||
FlagContext, PreprocessContext, VisSelection, | ||
}; | ||
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fn main() { | ||
let args: Vec<String> = std::env::args().collect(); | ||
let uvfits_path = PathBuf::from(&args[1]); | ||
let metafits_path = PathBuf::from(&args[2]); | ||
let gpubox_filenames: Vec<PathBuf> = args[3..].iter().map(PathBuf::from).collect(); | ||
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let corr_ctx = CorrelatorContext::new(metafits_path, &gpubox_filenames) | ||
.expect("unable to get mwalib context"); | ||
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let vis_sel = VisSelection::from_mwalib(&corr_ctx).unwrap(); | ||
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let flag_ctx = FlagContext::from_mwalib(&corr_ctx); | ||
let fine_chans_per_coarse = corr_ctx.metafits_context.num_corr_fine_chans_per_coarse; | ||
let mut flag_array = vis_sel.allocate_flags(fine_chans_per_coarse).unwrap(); | ||
flag_ctx | ||
.set_flags( | ||
flag_array.view_mut(), | ||
&vis_sel.timestep_range, | ||
&vis_sel.coarse_chan_range, | ||
&vis_sel.get_ant_pairs(&corr_ctx.metafits_context), | ||
) | ||
.unwrap(); | ||
let mut jones_array = vis_sel.allocate_jones(fine_chans_per_coarse).unwrap(); | ||
read_mwalib( | ||
&vis_sel, | ||
&corr_ctx, | ||
jones_array.view_mut(), | ||
flag_array.view_mut(), | ||
false, | ||
) | ||
.unwrap(); | ||
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// generate weights | ||
let weight_factor = get_weight_factor(&corr_ctx); | ||
let mut weight_array = flag_to_weight_array(flag_array.view(), weight_factor); | ||
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let prep_ctx = PreprocessContext { | ||
array_pos: LatLngHeight { | ||
longitude_rad: COTTER_MWA_LONGITUDE_RADIANS, | ||
latitude_rad: COTTER_MWA_LATITUDE_RADIANS, | ||
height_metres: COTTER_MWA_HEIGHT_METRES, | ||
}, | ||
phase_centre: RADec::from_mwalib_phase_or_pointing(&corr_ctx.metafits_context), | ||
correct_van_vleck: true, | ||
correct_cable_lengths: false, | ||
correct_digital_gains: false, | ||
correct_geometry: false, | ||
draw_progress: false, | ||
passband_gains: None, | ||
calsols: None, | ||
#[cfg(feature = "aoflagger")] | ||
aoflagger_strategy: None, | ||
}; | ||
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prep_ctx | ||
.preprocess( | ||
&corr_ctx, | ||
jones_array.view_mut(), | ||
weight_array.view_mut(), | ||
flag_array.view_mut(), | ||
&vis_sel, | ||
) | ||
.unwrap(); | ||
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let (avg_time, avg_freq) = (1, 1); | ||
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write_uvfits( | ||
&uvfits_path, | ||
&corr_ctx, | ||
jones_array.view(), | ||
weight_array.view(), | ||
&vis_sel.timestep_range, | ||
&vis_sel.coarse_chan_range, | ||
&vis_sel.baseline_idxs, | ||
Some(prep_ctx.array_pos), | ||
Some(prep_ctx.phase_centre), | ||
avg_time, | ||
avg_freq, | ||
) | ||
.unwrap(); | ||
} |
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