Online sun noise calculator

Online sun noise prediction

Below is a simple tool that lets you calculate the predicted sun noise for an EME system. It will also allow you to select SFU data from NOAA up to 30 days in the past. After selecting a date, you can select one of the sites that reported measurements for that day. Generally it is best to select the location that is closest to you.


The value in "Overall NF" is the total noise figure of the complete system. This includes Ta, any ohmic losses of the antenna and the complete receive systems noise figure (this is the "Overall NF/temperature" result in SimpleCalc).


For an even more capable application, have a look at my SimpleCalc application

My sky temperature online tool.


EME Sun Noise Calculator

EME Sun Noise Calculator

RSTN solar flux · spline interpolation · Y-factor prediction RSTN live data
View raw data ↗ Not loaded
Solar X-ray flux (GOES 1–8Å) — calibration suitability
GOES X-ray ↗ Not loaded
Current
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Date:
Observation:
Good quality Uncertain Missing / excluded
SFU interp.
Cubic spline, linear GHz/SFU with (0,0) anchor
SFU values
SFU at 1296 MHz SFU
Fetch data or enter values manually

System parameters saved
Frequency MHz
Dish gain 34.2 dBi
Overall NF 0.76 dB

Result at 1296 MHz
dB
Sun Y-factor (sun vs cold sky)
T_sys
K
T_sun (antenna)
K
SFU used
Points used

Spectrum + curve
Curve Extrapolated Data points Selected frequency
Data: https://services.swpc.noaa.gov/json/solar-radio-flux.json — updated continuously by NOAA. Includes ~30 days of observations from Learmonth, San Vito, Sagamore Hill, Kaena Point and Palehua, with per-frequency quality flags. Observations within 1 hour from the same station are deduplicated.

Spline — natural cubic spline in linear GHz/SFU space, forced through (0,0). Fits all valid points simultaneously.
Traditional — log-linear (power-law) interpolation using only the two bracketing frequencies: S = Fm2 × (Fm1/Fm2) ^ (log10(F/F2) / log10(F1/F2)).

Frequency, dish gain, system NF and interpolation method are saved automatically in your browser.