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import streamlit as st |
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import numpy as np |
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import pandas as pd |
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from core import simulate_loudspeaker |
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from visualization import plotly_full_figure |
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from config import ( |
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load_config, |
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load_loudspeaker_config, |
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) |
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st.set_page_config(layout="wide") |
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config_path = "configs/config.yaml" |
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default_loudspeaker_path = "configs/default_loudspeaker.yaml" |
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cfg = load_config(config_path) |
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loudspeaker_cfg = load_loudspeaker_config(default_loudspeaker_path) |
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freq_array = np.logspace( |
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np.log10(cfg.frequency.min), np.log10(cfg.frequency.max), num=cfg.frequency.n_bins |
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) |
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angular_freq_array = 2 * np.pi * freq_array |
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left, right = st.columns([0.4, 0.6]) |
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left.title("Loudspeaker simulation") |
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right.image("circuit.png") |
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single_speaker, two_speakers = st.tabs(["Single speaker", "Two speakers comparison"]) |
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with single_speaker: |
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col1, col2 = st.columns([0.2, 0.8]) |
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with col1: |
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st.title("Thielle small parameters") |
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slider_spk1_Re = st.slider( |
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"Electrical Coil Resistance (Re) [Ohm] .", |
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1.0, |
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20.0, |
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loudspeaker_cfg.electrical.coil_resistance, |
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) |
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slider_spk1_Le = st.slider( |
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"Electrical Coil Inductance (Le) [mH] .", |
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0.0, |
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5.0, |
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loudspeaker_cfg.electrical.coil_inductance * 1e3, |
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) |
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slider_spk1_Le /= 1e3 |
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slider_spk1_Bl = st.slider( |
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"Electromechanical factor (Bl) [T*m] .", |
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1.0, |
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20.0, |
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loudspeaker_cfg.electromechanical_factor, |
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) |
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slider_spk1_Rm = st.slider( |
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"Mechanical Resistance (Rms) [kg/s] .", |
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0.0, |
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10.0, |
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loudspeaker_cfg.mechanical.resistance, |
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) |
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slider_spk1_Mm = st.slider( |
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"Mechanical Mass (Mms) [g] .", |
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1.0, |
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100.0, |
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loudspeaker_cfg.mechanical.mass * 1e3, |
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) |
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slider_spk1_Mm /= 1e3 |
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slider_spk1_Cm = st.slider( |
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"Mechanical Compliance (Cms) [mm/N] .", |
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0.0, |
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5.0, |
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loudspeaker_cfg.mechanical.compliance * 1e3, |
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) |
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slider_spk1_Cm /= 1e3 |
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slider_spk1_diam = st.slider( |
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"Effective diameter of radiation [cm] .", |
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1.0, |
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50.0, |
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loudspeaker_cfg.acoustical.effective_diameter * 1e2, |
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) |
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slider_spk1_diam /= 1e2 |
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thiele_small_params_1 = { |
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"Re": slider_spk1_Re, |
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"Le": slider_spk1_Le, |
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"Bl": slider_spk1_Bl, |
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"Mm": slider_spk1_Mm, |
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"Cm": slider_spk1_Cm, |
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"Rm": slider_spk1_Rm, |
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"effective_diameter": slider_spk1_diam, |
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} |
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loudspeaker_responses_1 = simulate_loudspeaker( |
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thiele_small_params_1, angular_freq_array, cfg.acoustical_constants |
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) |
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plotly_fig = plotly_full_figure( |
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freq_array, loudspeaker_responses_1, single_speaker=True |
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) |
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with col1: |
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selectivity_factors = loudspeaker_responses_1["selectivity_params"] |
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st.dataframe( |
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pd.DataFrame([selectivity_factors]), |
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hide_index=True, |
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use_container_width=True, |
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) |
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with col2: |
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st.plotly_chart(plotly_fig, use_container_width=True, theme=None) |
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with two_speakers: |
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spk1, plots, spk2 = st.columns([0.17, 0.66, 0.17]) |
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with spk1: |
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st.title("Speaker 1") |
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slider_spk1_Re = st.slider( |
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"Electrical Coil Resistance (Re) [Ohm]", |
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1.0, |
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20.0, |
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loudspeaker_cfg.electrical.coil_resistance, |
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) |
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slider_spk1_Le = st.slider( |
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"Electrical Coil Inductance (Le) [mH]", |
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0.0, |
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5.0, |
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loudspeaker_cfg.electrical.coil_inductance * 1e3, |
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) |
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slider_spk1_Le /= 1e3 |
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slider_spk1_Bl = st.slider( |
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"Electromechanical factor (Bl) [T*m]", |
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1.0, |
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20.0, |
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loudspeaker_cfg.electromechanical_factor, |
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) |
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slider_spk1_Rm = st.slider( |
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"Mechanical Resistance (Rms) [kg/s]", |
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0.0, |
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10.0, |
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loudspeaker_cfg.mechanical.resistance, |
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) |
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slider_spk1_Mm = st.slider( |
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"Mechanical Mass (Mms) [g]", |
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1.0, |
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100.0, |
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loudspeaker_cfg.mechanical.mass * 1e3, |
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) |
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slider_spk1_Mm /= 1e3 |
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slider_spk1_Cm = st.slider( |
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"Mechanical Compliance (Cms) [mm/N]", |
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0.0, |
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5.0, |
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loudspeaker_cfg.mechanical.compliance * 1e3, |
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) |
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slider_spk1_Cm /= 1e3 |
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slider_spk1_diam = st.slider( |
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"Effective diameter of radiation [cm]", |
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1.0, |
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50.0, |
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loudspeaker_cfg.acoustical.effective_diameter * 1e2, |
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) |
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slider_spk1_diam /= 1e2 |
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with spk2: |
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st.title("Speaker 2") |
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slider_spk2_Re = st.slider( |
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"Electrical Coil Resistance (Re) [Ohm].", |
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1.0, |
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20.0, |
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loudspeaker_cfg.electrical.coil_resistance, |
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) |
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slider_spk2_Le = st.slider( |
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"Electrical Coil Inductance (Le) [mH].", |
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0.0, |
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5.0, |
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loudspeaker_cfg.electrical.coil_inductance * 1e3, |
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) |
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slider_spk2_Le /= 1e3 |
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slider_spk2_Bl = st.slider( |
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"Electromechanical factor (Bl) [T*m].", |
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1.0, |
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20.0, |
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loudspeaker_cfg.electromechanical_factor, |
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) |
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slider_spk2_Rm = st.slider( |
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"Mechanical Resistance (Rms) [kg/s].", |
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0.0, |
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10.0, |
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loudspeaker_cfg.mechanical.resistance, |
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) |
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slider_spk2_Mm = st.slider( |
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"Mechanical Mass (Mms) [g].", |
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1.0, |
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100.0, |
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loudspeaker_cfg.mechanical.mass * 1e3, |
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) |
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slider_spk2_Mm /= 1e3 |
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slider_spk2_Cm = st.slider( |
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"Mechanical Compliance (Cms) [mm/N].", |
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0.0, |
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5.0, |
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loudspeaker_cfg.mechanical.compliance * 1e3, |
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) |
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slider_spk2_Cm /= 1e3 |
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slider_spk2_diam = st.slider( |
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"Effective diameter of radiation [cm].", |
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1.0, |
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50.0, |
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loudspeaker_cfg.acoustical.effective_diameter * 1e2, |
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) |
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slider_spk2_diam /= 1e2 |
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thiele_small_params_1 = { |
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"Re": slider_spk1_Re, |
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"Le": slider_spk1_Le, |
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"Bl": slider_spk1_Bl, |
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"Mm": slider_spk1_Mm, |
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"Cm": slider_spk1_Cm, |
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"Rm": slider_spk1_Rm, |
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"effective_diameter": slider_spk1_diam, |
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} |
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loudspeaker_responses_1 = simulate_loudspeaker( |
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thiele_small_params_1, angular_freq_array, cfg.acoustical_constants |
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) |
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thiele_small_params_2 = { |
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"Re": slider_spk2_Re, |
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"Le": slider_spk2_Le, |
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"Bl": slider_spk2_Bl, |
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"Mm": slider_spk2_Mm, |
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"Cm": slider_spk2_Cm, |
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"Rm": slider_spk2_Rm, |
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"effective_diameter": slider_spk2_diam, |
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} |
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loudspeaker_responses_2 = simulate_loudspeaker( |
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thiele_small_params_2, angular_freq_array, cfg.acoustical_constants |
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) |
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with spk1: |
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selectivity_factors = loudspeaker_responses_1["selectivity_params"] |
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st.dataframe( |
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pd.DataFrame([selectivity_factors]), |
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hide_index=True, |
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use_container_width=True, |
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) |
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with spk2: |
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selectivity_factors = loudspeaker_responses_2["selectivity_params"] |
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st.dataframe( |
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pd.DataFrame([selectivity_factors]), |
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hide_index=True, |
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use_container_width=True, |
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) |
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with plots: |
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plotly_fig = plotly_full_figure( |
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freq_array, loudspeaker_responses_1, loudspeaker_responses_2 |
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) |
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st.plotly_chart(plotly_fig) |
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