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update weights block
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‎aurora/config/templates/test_processing_config_with_weights_block.json‎

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"normalized": true
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}
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},
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"weights": {
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"ex": {
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"combination_style": "multiplication",
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"features":[
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{
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"feature_name": "coherence",
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"feature_params": {
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"ch1": "ex",
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"ch2": "hy"
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},
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"window_style": "threshold",
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"window_params": {
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"min": 0.8,
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"max": "+inf"
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}
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},
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{
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"feature_name": "multiple_coherence",
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"feature_params": {
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"output_channel": "ex"
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},
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"window_style": "threshold",
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"window_params": {
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"min": 0.9,
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"max": 1.1
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"channel_weight_specs": [
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{
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"channel_weight_spec": {
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"output_channels": [
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"ex"
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],
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"combination_style": "multiplication",
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"features": [
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{
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"feature_name": "coherence",
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"feature_params": {
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"ch1": "ex",
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"ch2": "hy"
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},
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"window_style": "threshold",
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"window_params": {
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"min": 0.8,
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"max": "+inf"
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}
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},
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{
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"feature_name": "multiple_coherence",
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"feature_params": {
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"output_channel": "ex"
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},
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"window_style": "threshold",
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"window_params": {
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"min": 0.9,
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"max": 1.1
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}
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}
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]
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}
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}
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]
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},
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"ey": {
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"combination_style": "multiplication",
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"features":[
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{
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"feature_name": "coherence",
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"feature_params": {
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"ch1": "ey",
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"ch2": "hx"
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},
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"window_style": "threshold",
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"window_params": {
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"min": 0.8,
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"max": "+inf"
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}
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},
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{
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"feature_name": "multiple_coherence",
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"feature_params": {
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"output_channel": "ey"
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},
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"window_style": "threshold",
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"window_params": {
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"min": 0.9,
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"max": 1.1
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{
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"channel_weight_spec": {
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"output_channels": [
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"ey"
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],
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"combination_style": "multiplication",
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"features": [
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{
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"feature_name": "coherence",
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"feature_params": {
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"ch1": "ey",
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"ch2": "hx"
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},
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"window_style": "threshold",
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"window_params": {
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"min": 0.8,
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"max": "+inf"
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}
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},
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{
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"feature_name": "multiple_coherence",
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"feature_params": {
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"output_channel": "ey"
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},
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"window_style": "threshold",
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"window_params": {
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"min": 0.9,
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"max": 1.1
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}
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}
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]
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}
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}
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]
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},
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"hz": {
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"combination_style": "multiplication",
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"features":[
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{
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"feature_name": "coherence",
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"feature_params": {
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"ch1": "hx",
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"ch2": "rx"
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},
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"window_style": "threshold",
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"window_params": {
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"min": 0.8,
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"max": "+inf"
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}
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},
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{
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"feature_name": "coherence",
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"feature_params": {
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"ch1": "hy",
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"ch2": "ry"
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},
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"window_style": "threshold",
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"window_params": {
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"min": 0.7,
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"max": 0.999
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}
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}
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]
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}
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}
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{
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"channel_weight_spec": {
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"output_channels": [
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"hz"
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],
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"combination_style": "multiplication",
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"features": [
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{
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"feature_name": "coherence",
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"feature_params": {
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"ch1": "hx",
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"ch2": "rx"
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},
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"window_style": "threshold",
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"window_params": {
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"min": 0.8,
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"max": "+inf"
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}
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},
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{
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"feature_name": "coherence",
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"feature_params": {
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"ch1": "hy",
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"ch2": "ry"
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},
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"window_style": "threshold",
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"window_params": {
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"min": 0.7,
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"max": 0.999
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}
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}
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]
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}
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}
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]
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}
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},
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{

‎aurora/transfer_function/features/__init__.py‎

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"""
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This is a sandbox folder. Probably most of what is here will wind up in mt_metadata, mtpy, or mth5.
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While dealing with practical implementation of coherence sorting, it becomes clear
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that managing channel and feature nomenclature can become tricky.
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We need a way to express the channel pairs that cohernce will be evaluated on.
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The normal channel pairs are:
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ex-hy
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ey-hx
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ex-ref_ex
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ey-ref_ey
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hx-ref_hx
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hy-ref_hy
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where "ref_" refers to the remote reference station.
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For single station processing, only the first two are relevant.
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For remote reference, all six are relevant, with usage of ref_ex, ref_ey
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being __far__ less common that the magnetic channels at the remote station.
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It seems useful to have the notion of a "remote reference context",
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where we can tell a processing configuration to use for example,
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ey-hx
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hx-ref_hx
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as our coherece sorting channels, without spelling out the reference
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channel name explictly. This is much like what happens inside
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transfer_function_helpers.process_transfer_functions, which uses the nomenclature X, Y, RR.
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Within this "remote reference context", we can compute/access the appropriate coherences.
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This can be revisited later in a multivariate context.
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"""

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