
Nice idea, Eduard ... 0.1 K at the line peak can be discernable with rather long integration.
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Physically point & lock the both, 3-meter dishes at Cygnus X.
RDP into my Ubuntu PC that’s hooked to the Ettus USRP B210.
Launch python acquire_rrl.py.
When it finishes the 10 - 20 minute drift scan (or Ctrl-C), after review the, rrl_scans.csv file.
Run the analysis script (stack_rrl.py ) on the previously mentioned .csv file to subtract baselines, stack scans, and look for the Line strength (miliKelvin or mK) if I understood Astropeiler's paper correctly.
Hi Anthony,Good luck with your observations, I'd be very curious to see what results you get!Those two dishes must be one heck of a setup... a single 3 metre dish is already a bit unwieldy for me to maintain and operate.Are you planning to use the two dishes in interferometer mode or just as two separate dishes? I suspect that Cyg X is too large and spread out to detect with an interferometer setup.Best regards,EduardOn Thu, 26 Jun 2025 at 01:52, Anthony <itpart...@gmail.com> wrote:Hi Eduard,
Thanks for posting the AstroPeiler RRL report and the Cygnus X map in the SARA chat—I actually read that a few years ago and it’s great to revisit. I’m going to give it a shot with my two 3-meter dishes, using a pair of simple Python scripts—one to record the spectra and another to stack and process the scans—outside of BAA Seminar.
Once I’ve got everything in place and collected some drift scans, I’ll follow up directly with my setup details and initial results.
Thanks again for the inspiration!
Best regards,
Anthony Fuller
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Hi Eduard,
No I was planning to use both dishes independent of each other and leverage the Ettus USRP B210 dual receivers. Then utilize, two Python scripts to extrapolate the drift scan data from both dishes independently. Although I do have an extra B210, but it would not make sense to use it.Running the workflow
Physically point & lock the both, 3-meter dishes at Cygnus X.
RDP into my Ubuntu PC that’s hooked to the Ettus USRP B210.
Launch
python acquire_rrl.py.When it finishes the 10 - 20 minute drift scan (or Ctrl-C), after review the,
rrl_scans.csv file.Run the analysis script (
stack_rrl.py) on the previously mentioned .csv file to subtract baselines, stack scans, and look for the Line strength (miliKelvin or mK) if I understood Astropeiler's paper correctly.Hope you don't mind me adding, SARA on the thread, because most probably had your same thoughts about me using an interferometer for this project.
Thanks again, Eduard for the support and encouragement! I'll share my results soon.
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Hi Eduard,
Alex P. asked me about this some time ago, which took me time to figure out how to do this since I am not using SDR#, but BAA Seminar.
I’ve done testing and got two independent estimates of my system temperature:
Cyg A flux: ~1 500 Jy at 1 423 MHz
Measured peak correlation: ≃4 × 10⁻⁶ (from BAA Seminar’s Correlator)
Dish effective area: Aₑ ≃ 0.6·π·1.5² ≃ 4.2 m²
Radiometer relation:
Real-world additions (spillover, foliage, supports): +30 – 50 K
→ total 80 – 100 K
Hot load (foam over feed): ⟨Sum⟩ₕₒₜ ≃ 0.40 (arb. units)
Cold sky (blank zenith): ⟨Sum⟩𝚌ₒₗ𝑑 ≃ 0.10
Y = 0.40/0.10 = 4
Compute:
Both methods converge near 90 K, so that’s what I’ll use for planning RRL observations. The Cyg A calibration is my primary reference, with the Y-factor run as a useful sanity check.
—Anthony
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Hi Alex,
I have a plan to verify the linearity of BAA Seminar’s Total Power scale using my existing 60 ft of LMR-400 plus a short 1 ft LMR jumper:
Baseline (60 ft cable only):
The dish feed is always attached through 60 ft of LMR-400 (≈3.6 dB loss).
I terminate the LNA input with a 50 Ω load and record the Sum channel for 60 s.
Then Call the average reading P₀.
Insert 1 ft jumper:
I add a 1 ft LMR400 jumper in series (now 61 ft total, ≈3.66 dB).
I'll record the Sum channel again for 60 s, that will be called → P₁.
Compute the incremental loss:
A 1 ft LMR-400 section, I think, should introduce about 0.06 dB of additional loss. If my measured ΔdB matches ≃–0.06 dB, that confirms the Sum channel is linear in dB.
Optional double-check:
Loop the 1 ft jumper twice (62 ft total → ≃3.72 dB) and repeat. I am expecting to see ≃–0.12 dB, which is easier to resolve above noise.
This should prove to be a good test that 0.06 dB insertion produces a 0.06 dB drop in Sum, I should be able to convert BAA Seminars arbitrary‐unit readings into true decibels (and then kelvins) for both calibration and RRL sensitivity estimates.
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If each measured drop matches the pad value I’ll know BAA Seminar’s Sum scale is truly linear in dB. From there I can convert arb-units into kelvins confidently.
Thanks, this will simplify the calibration a lot!
It would be more valid to use 6 10 20 dB etc
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As a rule of thumb when installing add 1dB loss to the link budget for every 2 connectors, for example on both ends of a cable.
Ok, thought about it, I am convinced. I'll do it yourway, Alex. 😊If each measured drop matches the pad value I’ll know BAA Seminar’s Sum scale is truly linear in dB. From there I can convert arb-units into kelvins confidently.
Thanks, this will simplify the calibration a lot!
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