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  1. Not to worry, as we say. I only wish to point out that the filtering algorithm should calculation of the polynomial coefficients at each step. In the example I used if you use a polynomial of order 11 and padded the data file with 5 points on the front and back one will need to compute 2000 polynomial sets. About the DFT - it is evaluated using the Fast Fourier Transform - but that is another issue!! The FT of a signal is complex - it has a magnitude and a phase. For real signals the FT will exhibit Hermitian Symmetry (a very important property). When you multiply the X(f) by i
  2. Very good. Please tell me how many polynomial coefficient sets do I need to use here: My noisy data set has c. 22000 points of a complex waveform. The data is, of necessity, complex it is at 0Hz. LPF here produces a BPF. Jeremy.
  3. Nothing strange about this. Interesting comparison though. Re: We can do much better than that. The author talks about a 16 moving average but does not tell us about the length of the impulse response of the LPF. Perhaps he/she needs to show the response of different length LPF's.
  4. Greetings Steve, Implement the SG filter and presenting the results will need some software like MATLAB (very expensive) or OCTAVE (free open source software). Create a list of your raw data (CSV) that can be read by OCTAVE and it will be straight forward to implement a SG filter and or a Moving Average (MA) filter. For the SG filter you will need to calculate the polynomial coefficients at each point. Calculation of the coefficients involve some matrix manipulations like multiplications and inverse of a matrix. Octave is suited ideally to do these calculations. Once you
  5. Greetings Steve, Re: Is that a daft idea? Definitely not ! What you are doing is a moving average. This is equivalent to low pass filtering where the noise bandwidth is determined by the bandwidth of this LPF. The more you "stack" the lower will be the bandwidth. But remember too much averaging will "smear" the results you will be looking for. You are trying to obtain a graph of the brightness vs time so the sampling rate must be at least twice the highest rate of the brightness change - please see Nyquists sampling theorem. You need to take into account the period of the
  6. Greetings Robin, Regarding the first link : One will always find someone who has done all the hard work ! Now I'm getting somewhere. The first link is exactly what is needed. Those equations are easy to code in Octave. Why, even with my schoolboy French I can read the paper (in parts). As an aside, L'absorption par la molécule d'ozone reminds me of my youth where I was given the task of measuring the amount of pricipitable water vapor in the atmosphere, in a given range, for our thermal (8 to 14 micro metres) imagers. But that was many years ago. Regarding the second link:
  7. Greetings Robin, Thank you for your response. Re: If you are only interested specifically in the sky brightness in each photometric band though why not measure it directly from images taken through each filter using stars as flux references? Yes exactly that is what I will be doing measurement in the Johnson R,V,and B bands in a hemispherical dome. Re: (Though you would still need to correct the stellar fluxes for the effects of atmospheric extinction) Yes. This is where I will have to find a suitable model. Re: The spectrum of a star varies significantly in bot
  8. For the purpose of photometry one would be looking to improve the output SNR. Your best estimate of the signal in the noise will be the expected value of the signal (please see expected value / statistical expectation) this will be the average value i.e. sum/total. This works because the average value of the noise is zero. The improvement in SNR is sqrt(number of samples averaged) in this case one may expect an improvement of 1.7321. Perhaps you may try 4 exposures of 15s for a 2:1 improvement in SNR.
  9. Re: I am not clear what you want to measure the spectra of ... I am interested in measuring the spectrum of the background (only) at various altitudes. What I would like to measure is sky background brightness (power per unit solid angle per unit area or watts per steradian per square metre projected area) ) I would like to get an estimate for each band, To that end I need to take measurements at various azimuths and altitudes. Re: how a stars spectra changes with altitude ... I do not think that this will happen (?) but I would take spectra of the stars above 30 degrees elev
  10. Here are 3 pictures, of our southern skies at Sandy Creek, taken the other night. I need to look at the spectra between the horizon and at zenith. What I am looking for is a spectrum analyser with about 10 bands in the visual each band about 35nm( (750-400)/10) wide . I imagine this resolution will will help to determine a characteristic signature. I will be taking photometric measurements in the John-Cousins R, V, and B bands. Jeremy
  11. Thank you Andrew. That's a start for me. What I would like to do is obtain the spectrum of the light of a star and/or the light of diffuse source (scattered light) and record this spectrum (amplitude vs. wavelength) for analysis etc. Jeremy.
  12. Greetings Readers, I have no experience in the field of stellar spectrometry however I am undertaking some research that necessitates the measurement of the spectra of various light sources, stars etc. Please tell me about commonly used spectrometers in the field of amateur astronomy their availability and cost. My budget is modest so professional level instruments are out of the question. Many thanks in advance, Jeremy.
  13. Good attempt ET. 1. Focus needs to be better. 2. For a better result with the 50mm lens you can open the shutter for 20s with no noticeable star trails. For this exercise just stack 4 frames - "plenty good enough". 3. I have taken a picture of the cross with a single 15s exposure that shows much detail. Jeremy.
  14. Very sad but this is what one is driven to use : 1. https://optcorp.com/products/zwo-duo-band-filter-2 and a bit more expensive 2. https://optcorp.com/products/radian-telescopes-2-inch-triad-ultra-filter Sad. Jeremy.
  15. Greetings Roy, Re: Increasing light pollution is the bane of all astronomers Yes light pollution (LP) is the bane of all astronomers and as I have discovered there is absolutely nothing that can be done about this. Notice that with all the talk of action to reduce LP it is actually increasing. So instead of complaining about LP I have decided to study it and write a paper about it. Will this be of use? Of course not. But it will a nice paper. If I was young enough I could make a career out of this LP study. Why ? I could convince a moneyed sponsor that my work could save them a gre
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