Help calculating the uncertainty in the Sun's rotational speed

AI Thread Summary
The discussion centers on calculating the uncertainty in the Sun's rotational speed using given parameters and latitudes derived from sunspot photos. The user expresses difficulty in obtaining consistent error calculations, with results showing larger discrepancies than expected, particularly at lower latitudes. A key point raised is that as latitude decreases, the uncertainty in measurements increases, yet the final results show reduced uncertainty. Clarification is provided that the sine function's behavior at low latitudes contributes to this phenomenon. The conversation emphasizes the importance of clear communication and methodical error analysis in scientific calculations.
koots
Messages
3
Reaction score
0
Homework Statement
Help calculating uncertainty when the equation includes sin functions
Relevant Equations
omega = A + Bsin^2(phi) + Csin^4(phi)
Hi everyone,

The equation is one we have been given to calculate the rotational speed of the sun for different latitudes. phi = average latitude. This shouldn't be a problem for me, but for some reason I just can't trust my error calcs.

We are given :
A = 14.713 ± 0.0491◦/d B = −2.396 ± 0.188◦/d C = −1.787 ± 0.253◦/d
and the latitudes I'm using have been taken from sunspot photos with a stonyhurst grid overlaid. They are:
31, 15, 5.5, 1.5, all with an uncertainty +/- 2.

I've so far used trigonometric identites, calculus, even calculating min and max values and halving the difference etc. My problem is that I end up with errors larger, and for the lower latitudes far larger than the result from the equation. Every method gives a slightly different result and I just can't carry on comfortably.

Could anyone suggest which method they would use for the above equation?

Cheers
 
Physics news on Phys.org
koots said:
errors larger, and for the lower latitudes far larger than the result from the equation
I do not understand what you are saying there. Your wording implies the equation is for calculating an error, but you are calculating what should be the same error value by some other means and getting a much larger number.

It might help if you were to post details of an attempt (as forum rules require anyway) and show exactly what discrepancy you are seeing.

Remember, very few reading your post will have experience in this exact topic but many may be well able to assist if you explain clearly.
 
Thanks haruspex.

The equation is for calculating the rotational speed of the sun. We are not given a method of calculating the error in the result. I did write up an example on my lunchbreak at work to post here when I got home after realising there were rules, but I can't for the life of me find it now.

I've since found a silly mistake I made using the calculus method earlier of taking the partial derivatives multiplied by the change in the variable, squaring, adding, and taking the square root and now it works out much nicer but I'm still not entirely sold on it. A quick run through the method is attached.

The reason I'm not sold on it is because as my latitude decreases, the uncertainty in that measurement increases as all measurements were +/- 2 degrees, however in the final answers the uncertainty becomes less at lower latitude values.

Any thoughts?

Cheers
calculusuncertainty.jpg
 
Looks good to me.
The reason the errors in latitude matter less at low latitudes is that ##\sin(\phi)## becomes very small.
 
Thanks mate. Much appreciated. Makes perfect sense, I just had my guts telling me it was my fault..

Cheers
 
I multiplied the values first without the error limit. Got 19.38. rounded it off to 2 significant figures since the given data has 2 significant figures. So = 19. For error I used the above formula. It comes out about 1.48. Now my question is. Should I write the answer as 19±1.5 (rounding 1.48 to 2 significant figures) OR should I write it as 19±1. So in short, should the error have same number of significant figures as the mean value or should it have the same number of decimal places as...
Thread 'A cylinder connected to a hanging mass'
Let's declare that for the cylinder, mass = M = 10 kg Radius = R = 4 m For the wall and the floor, Friction coeff = ##\mu## = 0.5 For the hanging mass, mass = m = 11 kg First, we divide the force according to their respective plane (x and y thing, correct me if I'm wrong) and according to which, cylinder or the hanging mass, they're working on. Force on the hanging mass $$mg - T = ma$$ Force(Cylinder) on y $$N_f + f_w - Mg = 0$$ Force(Cylinder) on x $$T + f_f - N_w = Ma$$ There's also...
Back
Top