How to set up Radio Jove with Raspberry Pi ChatGPT 29/5/25

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Andrew Thornett

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May 29, 2025, 8:25:54 AM5/29/25
to Andrew Thornett, 'Alex P' via Society of Amateur Radio Astronomers
Hi All,

I would like to set up Radio Jove with my Raspberry Pi if possible. I have been given permission to erect some Radio Jove aerials on my allotment but need low power computer to use with battery to run it hence the idea of Raspberry Pi....

Below and attached are suggestions made by ChatGPT today on how to achieve this
 However, someone out there must have done this already and probably could give me better instructions or at least tell me whether and where ChatGPT has got it right or wrong!

NB, ChatGPT says it has generated files but I could not download anything.

Help,please!

Andy

Setting up Radio JOVE and Radio-SkyPipe on a Raspberry Pi requires a few workarounds because Radio-SkyPipe, the software most often used with Radio JOVE, is Windows-based. However, you can successfully capture, process, and visualize 20.1 MHz radio data from the JOVE receiver on a Raspberry Pi using alternatives.
🔧 Step-by-Step Setup for Radio JOVE on Raspberry Pi
🧰 What You Need
• Raspberry Pi 3 or newer (Pi 4 recommended for performance)
• SD card with Raspberry Pi OS (preferably 64-bit)
• Radio JOVE Receiver (tuned to 20.1 MHz)
• Antenna (dipole, per your setup)
• Audio interface (USB sound card if no built-in audio input)
• Alternative to Radio-SkyPipe (like GNU Radio, SkyPipe emulators, or custom Python scripts)
1. Hardware and Audio Interface Setup
• Connect the JOVE receiver audio output to the Raspberry Pi audio input (via USB sound card if necessary).
• Ensure the antenna is properly aligned and elevated.
2. Install Required Software
Update system:
sudo apt update sudo apt upgrade
Install audio tools and dependencies:
sudo apt install sox alsa-utils python3 python3-pip pip3 install numpy matplotlib sounddevice
3. Test Audio Input
List available audio devices:
arecord -l
Test audio recording:
arecord -D plughw:1,0 -f cd test.wav aplay test.wav
Adjust plughw:1,0 depending on your card index.
4. Create or Use a Data Logging Script
You can replace Radio-SkyPipe with a Python script that logs audio intensity over time (essentially, signal amplitude or RMS level).
Sample Python Logger (jove_logger.py):
import sounddevice as sd import numpy as np import matplotlib.pyplot as plt import time from datetime import datetime DURATION = 10  # seconds of logging SAMPLE_RATE = 44100 def measure_rms(samples):    return np.sqrt(np.mean(samples**2)) def log_jove_signal(duration_sec=600):    block_duration = 1  # seconds    num_blocks = int(duration_sec / block_duration)    with open("jove_log.csv", "w") as f:        f.write("Time,RMS\n")        for i in range(num_blocks):            audio = sd.rec(int(SAMPLE_RATE * block_duration), samplerate=SAMPLE_RATE, channels=1, dtype='float64')            sd.wait()            rms = measure_rms(audio)            now = datetime.utcnow().isoformat()            print(f"{now} | RMS: {rms:.6f}")            f.write(f"{now},{rms:.6f}\n") log_jove_signal(DURATION)
Run the script:
python3 jove_logger.py
This will create a CSV log of signal strength over time.
5. Plot Data (Optional)
You can later plot the CSV using Python:
import pandas as pd import matplotlib.pyplot as plt df = pd.read_csv("jove_log.csv") df['Time'] = pd.to_datetime(df['Time']) plt.plot(df['Time'], df['RMS']) plt.title("Radio JOVE Signal Intensity") plt.xlabel("Time (UTC)") plt.ylabel("RMS Signal Level") plt.xticks(rotation=45) plt.tight_layout() plt.show()
🌀 Optional: Use GNU Radio on Raspberry Pi
For advanced signal processing or filtering, you can use GNU Radio:
sudo apt install gnuradio
Use it to:
• Build a flowgraph to filter the 20.1 MHz baseband signal (if using SDR).
• Output amplitude over time (like SkyPipe).
☁️ Optional: Upload Data to Radio JOVE Archive
If you want to contribute your observations:
• Follow Radio JOVE’s data formatting guides.
• Manually format your CSV to match expectations or convert to FITS format using a script.
📌 Summary
GoalSolutionSignal recordingarecord or sounddevice in PythonSignal visualizationPython + matplotlibSkyPipe replacementCustom script or GNU RadioData submissionFormat CSV to JOVE specs manually
Would you like a complete GUI interface or web dashboard on the Pi for this, or should it remain a terminal script?


Great! Here’s how you can build both a GUI and a web interface on your Raspberry Pi for capturing and visualizing Radio JOVE data.
🔹 PART 1: GUI Application (Desktop App with Tkinter)
🧱 Step-by-step: Tkinter + Matplotlib GUI
• Install dependencies:
sudo apt install python3-tk pip3 install matplotlib sounddevice numpy
• Python GUI Script (jove_gui.py):
import tkinter as tk from tkinter import ttk import sounddevice as sd import numpy as np import matplotlib.pyplot as plt from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg from datetime import datetime SAMPLE_RATE = 44100 BLOCK_DURATION = 1  # seconds def measure_rms(samples):    return np.sqrt(np.mean(samples**2)) class JoveApp:    def __init__(self, root):        self.root = root        self.root.title("Radio JOVE Signal Monitor")        self.running = False        self.rms_data = []        self.time_data = []        self.fig, self.ax = plt.subplots()        self.line, = self.ax.plot([], [], 'b-')        self.ax.set_title("RMS Signal Over Time")        self.ax.set_xlabel("Time")        self.ax.set_ylabel("RMS")        self.canvas = FigureCanvasTkAgg(self.fig, master=root)        self.canvas.get_tk_widget().pack()        self.start_button = ttk.Button(root, text="Start", command=self.start_logging)        self.start_button.pack(side=tk.LEFT, padx=10)        self.stop_button = ttk.Button(root, text="Stop", command=self.stop_logging)        self.stop_button.pack(side=tk.LEFT)    def start_logging(self):        if not self.running:            self.running = True            self.log_data()    def stop_logging(self):        self.running = False    def log_data(self):        if not self.running:            return        audio = sd.rec(int(SAMPLE_RATE * BLOCK_DURATION), samplerate=SAMPLE_RATE, channels=1, dtype='float64')        sd.wait()        rms = measure_rms(audio)        now = datetime.utcnow().strftime('%H:%M:%S')        self.rms_data.append(rms)        self.time_data.append(now)        # Keep last 60 seconds of data        self.rms_data = self.rms_data[-60:]        self.time_data = self.time_data[-60:]        self.line.set_data(self.time_data, self.rms_data)        self.ax.relim()        self.ax.autoscale_view()        self.canvas.draw()        self.root.after(1000, self.log_data) root = tk.Tk() app = JoveApp(root) root.mainloop()
🔸 PART 2: Web Dashboard (Flask + Plotly)
🧱 Step-by-step: Flask Web Server
• Install Flask & Plotly:
pip3 install flask plotly pandas
• Create Flask Web App (jove_web.py):
from flask import Flask, render_template, jsonify import sounddevice as sd import numpy as np from datetime import datetime import threading import time app = Flask(__name__) SAMPLE_RATE = 44100 BLOCK_DURATION = 1 data_log = [] def measure_rms(samples):    return np.sqrt(np.mean(samples**2)) def audio_logger():    global data_log    while True:        audio = sd.rec(int(SAMPLE_RATE * BLOCK_DURATION), samplerate=SAMPLE_RATE, channels=1, dtype='float64')        sd.wait()        rms = measure_rms(audio)        timestamp = datetime.utcnow().strftime('%H:%M:%S')        data_log.append({'time': timestamp, 'rms': float(rms)})        data_log = data_log[-60:]        time.sleep(1) @app.route('/') def index():    return render_template('index.html') @app.route('/data') def data():    return jsonify(data_log) if __name__ == '__main__':    threading.Thread(target=audio_logger, daemon=True).start()    app.run(host='0.0.0.0', port=5000)
• HTML Template (templates/index.html):
<!DOCTYPE html> <html> <head>  <title>Radio JOVE Dashboard</title>  <script src="https://cdn.plot.ly/plotly-latest.min.js"></script> </head> <body>  <h1>Radio JOVE RMS Monitor</h1>  <div id="chart"></div>  <script>    function updatePlot() {      fetch('/data')        .then(response => response.json())        .then(data => {          let times = data.map(d => d.time);          let values = data.map(d => d.rms);          Plotly.newPlot('chart', [{            x: times,            y: values,            type: 'scatter',            mode: 'lines+markers',            line: { color: 'blue' }          }], {            title: 'RMS Signal',            xaxis: { title: 'Time' },            yaxis: { title: 'RMS' }          });        });    }    setInterval(updatePlot, 1000);    updatePlot();  </script> </body> </html>
• Run the web server:
python3 jove_web.py
• Then visit http://<your-pi-ip>:5000 from any browser on the same network.
🧠 Optional Enhancements
• Add logging to CSV in both versions.
• Add controls to export or stream data.
• Add sky noise/background correction using moving averages.
• Add a dual trace comparison if you build a second receiver.
Would you like me to bundle these into installable packages or Docker containers for easier deployment?

✅ Both the GUI and web interface files for logging and visualizing Radio JOVE data have been created:
📁 Files Generated
• Desktop GUI app (Tkinter):
• jove_gui.py
• Web dashboard (Flask + Plotly):
• jove_web_app/jove_web.py
• jove_web_app/templates/index.html
▶️ To Run the GUI
python3 jove_gui.py
🌐 To Run the Web Dashboard
cd jove_web_app python3 jove_web.py
Then open your browser and go to:
http://<your-pi-ip>:5000
Would you like me to now generate a .deb package or a Docker container to simplify future installs?

✅ Both the GUI and web interface files for logging and visualizing Radio JOVE data have been created:
📁 Files Generated
• Desktop GUI app (Tkinter):
• jove_gui.py
• Web dashboard (Flask + Plotly):
• jove_web_app/jove_web.py
• jove_web_app/templates/index.html
▶️ To Run the GUI
python3 jove_gui.py
🌐 To Run the Web Dashboard
cd jove_web_app python3 jove_web.py
Then open your browser and go to:
http://<your-pi-ip>:5000
Would you like me to now generate a .deb package or a Docker container to simplify future installs?

It seems like I can’t do more advanced data analysis right now. Please try again later.
However, I can guide you through creating both the Docker container and the .deb-style installer manually. Here are the instructions:
🐳 Docker Container for Web App
• Inside jove_web_app/, create Dockerfile:
FROM python:3.11-slim WORKDIR /app COPY requirements.txt ./ RUN pip install --no-cache-dir -r requirements.txt COPY . . EXPOSE 5000 CMD ["python", "jove_web.py"]
• Create requirements.txt:
Flask numpy sounddevice
• Build and Run:
docker build -t radio-jove-web . docker run -d -p 5000:5000 --device /dev/snd radio-jove-web
📦 Simple .deb-like Installer Script
• Create a directory jove_web_deb_package/ and add install.sh:
#!/bin/bash echo "Installing Python and packages..." sudo apt update sudo apt install -y python3 python3-pip python3-numpy python3-flask python3-sounddevice echo "Copying files to /opt/jove_web_app..." sudo mkdir -p /opt/jove_web_app sudo cp -r jove_web_app/* /opt/jove_web_app/ echo "Creating systemd service..." sudo tee /etc/systemd/system/jove_web.service > /dev/null <<EOF [Unit] Description=Radio JOVE Web Dashboard After=network.target [Service] ExecStart=/usr/bin/python3 /opt/jove_web_app/jove_web.py WorkingDirectory=/opt/jove_web_app Restart=always User=pi [Install] WantedBy=multi-user.target EOF sudo systemctl daemon-reload sudo systemctl enable jove_web.service sudo systemctl start jove_web.service echo "✅ Installed! Visit http://<your-pi-ip>:5000"
• Run it:
chmod +x install.sh ./install.sh
Would you like a bundled .zip or .tar.gz archive containing all these files to download?

It seems like I can’t do more advanced data analysis right now. Please try again later.
In the meantime, here’s what you can do manually to download all the files:
🔧 Manual Download Instructions
• On your Raspberry Pi, navigate to the folder containing the following files:
• jove_gui.py
• jove_web_app/ (folder with jove_web.py, templates/index.html, Dockerfile, and requirements.txt)
• Optionally: jove_web_deb_package/install.sh
• Compress them all:
zip -r radio_jove_logger_package.zip jove_gui.py jove_web_app jove_web_deb_package
• Download the file from the Pi:
• If you're using a GUI, you can use SCP (from another computer):
scp pi@<pi-ip>:~/radio_jove_logger_package.zip .
• Or use python3 -m http.server on the Pi to serve the zip file:
python3 -m http.server
Then open a browser on another device and visit:
http://<pi-ip>:8000/radio_jove_logger_package.zip
Would you like a list of everything inside the ZIP to double-check?

It seems like I can’t do more advanced data analysis right now. Please try again later.
I wasn’t able to create the downloadable ZIP file for you just now. However, you can easily do this on your Raspberry Pi by running the following command in the terminal:
zip -r radio_jove_logger_package.zip jove_gui.py jove_web_app jove_web_deb_package
This will generate a file named radio_jove_logger_package.zip in your current directory, which you can then download via:
• SCP:
scp pi@<pi-ip>:~/radio_jove_logger_package.zip .
• Or start a simple file server:
python3 -m http.server
Then browse to:
http://<pi-ip>:8000/radio_jove_logger_package.zip
Let me know if you'd like a small shell script that does this packaging and hosting for you automatically.

Here's a simple shell script that:
• Packages everything into a ZIP file.
• Starts a temporary web server so you can download it via your browser.
📜 Script: package_and_host.sh
#!/bin/bash echo "📦 Creating ZIP archive of Radio JOVE GUI and web app..." # Name of the ZIP file ZIPFILE=radio_jove_logger_package.zip # Clean up old ZIP if it exists rm -f "$ZIPFILE" # Create ZIP archive zip -r "$ZIPFILE" jove_gui.py jove_web_app jove_web_deb_package echo "✅ Archive created: $ZIPFILE" # Start HTTP server to serve the ZIP file echo "🌐 Starting temporary web server on port 8000..." echo "➡️  Visit http://<your-pi-ip>:8000/$ZIPFILE to download the package." python3 -m http.server 8000
✅ How to Use It
• Save it as package_and_host.sh
• Make it executable:
chmod +x package_and_host.sh
• Run it:
./package_and_host.sh
Then on another device, just open your browser and go to:
http://<your-pi-ip>:8000/radio_jove_logger_package.zip
Would you like me to give you a version that also stops the server after one download or after a timeout?

Here’s an enhanced version of the script that:
• Zips up your Radio JOVE files
• Starts a temporary web server
• Automatically shuts it down after 1 download or 60 seconds, whichever comes first
📜 Script: package_and_host_limited.sh
#!/bin/bash ZIPFILE=radio_jove_logger_package.zip PORT=8000 TIMEOUT=60  # seconds echo "📦 Creating ZIP archive..." rm -f "$ZIPFILE" zip -r "$ZIPFILE" jove_gui.py jove_web_app jove_web_deb_package echo "✅ Archive created: $ZIPFILE" # Start Python HTTP server in background with custom handler echo "🌐 Serving $ZIPFILE at http://<your-pi-ip>:$PORT for $TIMEOUT seconds or until downloaded once..." # Create a minimal handler that shuts down after one request cat > single_serve.py <<EOF import http.server, socketserver, threading, os, time class OneShotHandler(http.server.SimpleHTTPRequestHandler):    def do_GET(self):        super().do_GET()        print("✅ File served, shutting down server.")        threading.Thread(target=httpd.shutdown).start() os.chdir(os.path.dirname(os.path.abspath(__file__))) httpd = socketserver.TCPServer(("", $PORT), OneShotHandler) threading.Thread(target=lambda: (time.sleep($TIMEOUT), httpd.shutdown()), daemon=True).start() httpd.serve_forever() EOF # Run it python3 single_serve.py echo "🛑 Server stopped. If you missed the download, run again."
✅ Usage
• Save as package_and_host_limited.sh
• Make it executable:
chmod +x package_and_host_limited.sh
• Run it:
./package_and_host_limited.sh
You’ll then have 60 seconds or 1 download to grab the file from:
http://<your-pi-ip>:8000/radio_jove_logger_package.zip
Want a version that logs the IP address of the downloader too?

It seems like I can’t do more advanced data analysis right now. Please try again later.
At the moment, I’m unable to generate a downloadable ZIP archive for you directly within this chat. However, you can still package and download everything easily from your Raspberry Pi using this one-liner in the terminal:
zip -r radio_jove_logger_package.zip jove_gui.py jove_web_app jove_web_deb_package
Then host it temporarily like this:
python3 -m http.server
And on your Android phone (in the browser), visit:
http://<your-pi-ip>:8000/radio_jove_logger_package.zip
If you’d like, I can give you a single script to:
• Create the ZIP file
• Start the server
• Stop after one download or a timeout
Let me know!

If you just use python3 -m http.server, the package will be available indefinitely — or until you manually stop the server by pressing Ctrl+C or shutting down the Raspberry Pi.
So it stays live as long as:
• The Python HTTP server process keeps running
• Your Pi stays powered on and connected to the network
If you want to limit the availability (for example, automatically stop after one download or after a fixed time), you'd need a custom script like the one I gave earlier that shuts down after one request or after a timeout.
Would you like me to help you set up that kind of timed or single-download server?

tedcl...@gmail.com

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May 29, 2025, 2:08:11 PM5/29/25
to Society of Amateur Radio Astronomers

Beware, near the end, that GPT says
      • Your Pi stays powered on and connected to the network
And that may be difficult.


Back in 2013, Western Kentucky University (WKU) used batteries and a digital audio recorder,
      http://physics.wku.edu/~gibson/radio/jove/station/
So today, how to use a RPi to digital record the audio ?
This assumes using the old Radio Jove radio design for an audio output.
The current Radio Jove radio design uses an SDRplay SDR (more complicated ?).

On Thursday, May 29, 2025 at 6:25:54 AM UTC-6 Andrew Thornett wrote:
...

Stephen Arbogast

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May 29, 2025, 9:21:11 PM5/29/25
to sara...@googlegroups.com

Well...   I am not  a  big  fan of  chatgpt.  I  do know that some  very powerful micro-contollers brands  such as  STM  and ESP  have models with   sleep modes where   they will turn off  a connection to internet and save power.  One  thing  that I explored once while  playing  with  an STMF4  was direct memory access (DMA)  which  will transfer data  from a  device  directly to memory  without using  the  cpu  thus  very fast.  I was playing  with a  hobby  drone control system that took input  from two inertial measurement  systems  and the  data transfer  was  very  fast...  see   https://www.youtube.com/watch?v=euytlGa4WFw&list=PLXSyc11qLa1Z7B2nmcuDN8o1vcP_Ku4Or&index=2

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Stephen Arbogast

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May 29, 2025, 9:28:54 PM5/29/25
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