From df2e8b2f269acdce0de8cf2c2f1f13e33b0310c5 Mon Sep 17 00:00:00 2001
From: Aaron LI <aly@aaronly.me>
Date: Mon, 23 Jul 2018 14:30:20 +0800
Subject: Add astro/spectrogram.py: Calculate DCT/FFT along the frequency axis

---
 astro/spectrogram.py | 124 +++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 124 insertions(+)
 create mode 100755 astro/spectrogram.py

(limited to 'astro/spectrogram.py')

diff --git a/astro/spectrogram.py b/astro/spectrogram.py
new file mode 100755
index 0000000..b1fcfe9
--- /dev/null
+++ b/astro/spectrogram.py
@@ -0,0 +1,124 @@
+#!/usr/bin/env python3
+#
+# Copyright (c) 2018 Aaron LI <aly@aaronly.me>
+# MIT license
+#
+
+"""
+Calculate the spectrograms of the FITS cube.
+
+If the discrete Fourier transform (DFT/FFT) performed, output the real,
+imaginary, and magnitude spectrograms.  If the discrete cosine transform
+(DCT) performed, then output only the magnitude spectrogram since it's
+real numbered.
+
+The transform is applied along the frequency axis, while the two spatial
+dimensions are flattened.
+"""
+
+import sys
+import argparse
+import logging
+
+import numpy as np
+from scipy import signal
+from scipy import fftpack
+from astropy.io import fits
+
+
+logging.basicConfig(level=logging.INFO,
+                    format="[%(levelname)s:%(lineno)d] %(message)s")
+logger = logging.getLogger()
+
+
+class Spectrogram:
+    def __init__(self, cube):
+        cube = np.array(cube, dtype=float)  # [Freq, Y, X]
+        nfreq, ny, nx = cube.shape
+        self.data = cube.reshape((nfreq, ny*nx))
+        logger.info('Cube: %d frequencies, %d pixels' % self.data.shape)
+
+    @property
+    def nfreq(self):
+        return self.data.shape[0]
+
+    @property
+    def npix(self):
+        return self.data.shape[1]
+
+    def set_window(self, window):
+        if window.upper() == 'NONE':
+            return
+        logger.info('Generating %s window ...' % window)
+        wfunc = getattr(signal.windows, window)
+        w = wfunc(self.nfreq, sym=False)
+        logger.info('Applying window ...')
+        self.data *= w[:, np.newaxis]
+
+    def calc_cosine(self):
+        logger.info('Calculating DCT ...')
+        return fftpack.dct(self.data, axis=0, norm='ortho')
+
+    def calc_fourier(self):
+        logger.info('Calculating FFT ...')
+        z = fftpack.fftshift(fftpack.fft(self.data, axis=0), axis=0)
+        return (np.abs(z), np.real(z), np.imag(z))
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description='Calculate spectrogram of an image cube')
+    parser.add_argument('-C', '--clobber', action='store_true')
+    parser.add_argument('-w', '--window', required=True,
+                        choices=['none', 'nuttall', 'hanning'],
+                        help='window function')
+    parser.add_argument('-t', '--type', required=True,
+                        choices=['cosine', 'fourier'],
+                        help='spectrogram type')
+    parser.add_argument('-i', '--infile', required=True,
+                        help='input image cube')
+    parser.add_argument('-M', '--out-mag', dest='outmag', required=True,
+                        help='output magnitude spectrogram')
+    parser.add_argument('-R', '--out-real', dest='outreal',
+                        help='output real spectrogram (type "fourier")')
+    parser.add_argument('-I', '--out-imag', dest='outimag',
+                        help='output imaginary spectrogram (type "fourier")')
+    args = parser.parse_args()
+
+    if args.type == 'fourier':
+        assert (args.outreal and args.outimag), '--real and --imag required'
+
+    cube = fits.open(args.infile)[0].data
+    logger.info("Cube shape: %dx%dx%d" % cube.shape)
+
+    header = fits.Header()
+    header.add_history(' '.join(sys.argv))
+    header['SP_TYPE'] = args.type
+
+    spectrogram = Spectrogram(cube)
+    spectrogram.set_window(args.window)
+
+    if args.type == 'cosine':
+        sp_mag = spectrogram.calc_cosine()
+        header['SP_DATA'] = 'magnitude'
+        fits.PrimaryHDU(data=sp_mag, header=header).writeto(
+            args.outmag, overwrite=args.clobber)
+        logger.info('Wrote magnitude spectrogram to: %s' % args.outmag)
+    else:
+        sp_mag, sp_real, sp_imag = spectrogram.calc_fourier()
+        header['SP_DATA'] = 'magnitude'
+        fits.PrimaryHDU(data=sp_mag, header=header).writeto(
+            args.outmag, overwrite=args.clobber)
+        logger.info('Wrote magnitude spectrogram to: %s' % args.outmag)
+        header['SP_DATA'] = 'real'
+        fits.PrimaryHDU(data=sp_real, header=header).writeto(
+            args.outreal, overwrite=args.clobber)
+        logger.info('Wrote real spectrogram to: %s' % args.outreal)
+        header['SP_DATA'] = 'imaginary'
+        fits.PrimaryHDU(data=sp_imag, header=header).writeto(
+            args.outimag, overwrite=args.clobber)
+        logger.info('Wrote imaginary spectrogram to: %s' % args.outimag)
+
+
+if __name__ == '__main__':
+    main()
-- 
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