I Emission spectra of different materials

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The discussion centers on the relationship between temperature, resistance, and emitted light wavelengths in incandescent light bulbs. It highlights that while higher temperatures typically correlate with shorter wavelengths, incandescent bulbs can emit different colors (yellowish vs. white) at varying temperatures due to filament design and resistance. The conversation clarifies that a bulb's equilibrium temperature depends on its surface area and the power supplied, rather than solely on resistance. Additionally, it emphasizes that hot objects emit a broad spectrum of light, with peak wavelengths determined by Wien's law. Ultimately, understanding these principles is crucial for accurately predicting the light emitted by different bulb types.
  • #121
Charles Link said:
The problem is that your diagram is incorrect. The formula works for polar angle θ2θ2 \frac{\theta}{2} . The .5L.5L .5 L represents the ("straight line" and not "arc") distance from z=0z=0 z=0 to the edge of the circle that forms the boundary of the spherical section, where the sphere has a radius of RR R . The radius (from the z-axis) r=.5Lr=.5L r= .5 L can not be greater than RR R in the way you are using the formula. You also have the formula incorrect in your latest post. It needs sin−1(.5LR)sin−1(.5LR) sin^{-1}(\frac{.5 L}{R}) (inside the cosine) which is only equal (approximately) to .5LR.5LR \frac{.5L}{R} for small LRLR \frac{L}{R} .

Correct me if I'm missing something, but the way I see it, the formula just contains ##\theta##, not how ##\theta## should be calculated. The way I chose to define ##\frac{\theta}{2}## is by saying that the angle ##\frac{\theta}{2}## in radians can be calculated by dividing its covered arc length (which I chose to be ##0.5L##) by the radius ##R## of the circle. Just like when half a circle's arc has a length ##Rπ## and therefore the angle that covers it is ##\frac{Rπ}{R} = π## radians.

So the "straight line" from the z-axis that you mention in the case of an arc of length ##0.5L## is equal to ##sin(\frac{0.5L}{R}) \cdot R##. So you can calculate the ##\theta## in two ways. I chose the way by using the arc length and divide that by ##R##.

(Btw, with this reasoning, this says that the arc length ##0.5L## cannot exceed an angle of ##0.5π## i.e. a length of ##0.5πR##)
 
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  • #122
JohnnyGui said:
Correct me if I'm missing something, but the way I see it, the formula just contains ##\theta##, not how ##\theta## should be calculated. The way I chose to define ##\frac{\theta}{2}## is by saying that the angle ##\frac{\theta}{2}## in radians can be calculated by dividing its covered arc length (which I chose to be ##0.5L##) by the radius ##R## of the circle. Just like when half a circle's arc has a length ##Rπ## and therefore the angle that covers it is ##\frac{Rπ}{R} = π##

So the "straight line" from the z-axis that you mention in the case of an arc of length ##0.5L## is equal to ##sin(\frac{0.5L}{R}) \cdot R##. So you can calculate the ##\theta## in two ways. I chose the way by using the arc length and divide that by ##R##.

(Btw, with this reasoning, this says that the arc length ##0.5L## cannot exceed an angle of ##0.5π## i.e. a length of ##0.5πR##)
As long as the definitions are consistent, it works. ## s ## is a better letter for arc length, but there's nothing wrong with using ## L ##, just so long as you define it that way.
 
  • #123
Charles Link said:
As long as the definitions are consistent, it works. ## s ## is a better letter for arc length, but there's nothing wrong with using ## L ##, just so long as you define it that way.

So the definition of ##0.5L## being the arc length instead of the straight line from the z-axis is not the cause of A not being proportional to ##R^2##. So I should be able to express the formula as:
$$A = 2πR^2 (1 - cos(\frac{0.5L}{R}))$$
Where ##0.5L## is the half arc length of the spherical cap and ##\frac{0.5L}{R}## = ##\frac{\theta}{2}## in radians.
The thing is, even if I choose ##0.5L## to be smaller than ##0.5 \cdot Rπ##, the proportionality of ##A## with ##R^2## still doesn't exist. I expect that it should since energy decreases by the inverse factor of ##R^2## if it's being divided over a surface ##A## that is larger by that that same factor.

(Sorry for my stubborness on this, but I really want to understand it)
 
  • #124
JohnnyGui said:
So the definition of ##0.5L## being the arc length instead of the straight line from the z-axis is not the cause of A not being proportional to ##R^2##. So I should be able to express the formula as:
$$A = 2πR^2 (1 - cos(\frac{0.5L}{R}))$$
Where ##0.5L## is the half arc length of the spherical cap and ##\frac{0.5L}{R}## = ##\frac{\theta}{2}## in radians.
The thing is, even if I choose ##0.5L## to be smaller than ##0.5 \cdot Rπ##, the proportionality of ##A## with ##R^2## still doesn't exist. I expect that it should since energy decreases by the inverse factor of ##R^2## if it's being divided over a surface ##A## that is larger by that that same factor.

(Sorry for my stubborness on this, but I really want to understand it)
For constant ## \frac{ \theta_o}{2} ## the area is proportional to ## R^2 ##. If your source radiates into the region of full cone angle ## \theta_o ##, which is typical of some directional type sources, (e.g. uch as an automobile headlight and/or a flashlight with a reflector that directs the beam), the area of the beam will be proportional to ## R^2 ## and the irradiance ## E ## will fall off as ## E=I/R^2 ## thereby conserving power ## P=\int E \, dA ##, just as it should.
 
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  • #125
Charles Link said:
For constant ## \frac{ \theta_o}{2} ## the area is proportional to ## R^2 ##. If your source radiates into the region of full cone angle ## \theta_o ##, which is typical of some directional type sources, (e.g. uch as an automobile headlight and/or a flashlight with a reflector that directs the beam), the area of the beam will be proportional to ## R^2 ## and the irradiance ## E ## will fall off as ## E=I/R^2 ## thereby conserving power ## P=\int E \, dA ##, just as it should.

That's exactly it! I don't get why I was putting a changing angle in the function. Probably a hint that I need to take a small break.

So as a fixed surface gets further away (increasing ##R##), the angle ##\theta## that it makes is inversely proportional to ##R## and the energy that it receives is inversely proportional to ##R^2##.
 
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  • #126
@Charles Link : So far I understand that to calculate the received energy (##P_r##) that a detector's surface ##A_d## is receiving from a radiating point source at an angle, one can use:
$$I_0 \cdot cos(\theta) \cdot \frac{A_d}{R^2} = P_r$$
The above formula basically says if a detector's surface ##A_d## at a distance ##R## is larger than ##R^2##, then in that case, one would have to extrapolate the energy in a ##R^2## surface to the energy in a surface of ##A_d##.

However, I noticed that one could reason this in a different way. If a surface ##A_o## at a distance ##R## is larger than ##R^2##, then I would assume that it receives parts of radiant intensities that are at other angles as well. I'd therefore think that integrating the received energies from different radiant intensities at angles that cover different parts of ##A_d## would yield the same result as the above formula. Not sure if this is correct though.
 
  • #127
JohnnyGui said:
@Charles Link : So far I understand that to calculate the received energy (##P_r##) that a detector's surface ##A_d## is receiving from a radiating point source at an angle, one can use:
$$I_0 \cdot cos(\theta) \cdot \frac{A_d}{R^2} = P_r$$
The above formula basically says if a detector's surface ##A_d## at a distance ##R## is larger than ##R^2##, then in that case, one would have to extrapolate the energy in a ##R^2## surface to the energy in a surface of ##A_d##.

However, I noticed that one could reason this in a different way. If a surface ##A_o## at a distance ##R## is larger than ##R^2##, then I would assume that it receives parts of radiant intensities that are at other angles as well. I'd therefore think that integrating the received energies from different radiant intensities at angles that cover different parts of ##A_d## would yield the same result as the above formula. Not sure if this is correct though.
If the geometry is such as you mentioned, then the distance ## R ## would not be constant either. The power received would essentially be how we computed it previously. See post # 115. I think your diagram is a good one to show how it is then computed.
 
  • #128
Charles Link said:
If the geometry is such as you mentioned, then the distance ## R ## would not be constant either. The power received would essentially be how we computed it previously. See post # 115. I think your diagram is a good one to show how it is then computed.

Right. I think the only difference is that I'm now mentioning that the radiating source is a point source (i.e. one ##dA## surface). But that won't change the relationship.
Come to think of it, doesn't that mean that in case of a larger radiating surface, just like the one in my diagram in post #115, one would have to also integrate the different radiant intensities at different angles from each ##dA## that cover different parts of the detector's surface? I understand that one doesn't need to do that and just use the following formula for each ##dA##:
$$I_0 \cdot cos(\theta)^4 \cdot \frac{A_d}{R^2} = P_r$$
But what I mean is that this formula is composed of integrating different radiant intensities at different angles from each dA that cover different parts of the detector's surface.
 
  • #129
JohnnyGui said:
Right. I think the only difference is that I'm now mentioning that the radiating source is a point source (i.e. one ##dA## surface). But that won't change the relationship.
Come to think of it, doesn't that mean that in case of a larger radiating surface, just like the one in my diagram in post #115, one would have to also integrate the different radiant intensities at different angles from each ##dA## that cover different parts of the detector's surface? I understand that one doesn't need to do that and just use the following formula for each ##dA##:
$$I_0 \cdot cos(\theta)^4 \cdot \frac{A_d}{R^2} = P_r$$
But what I mean is that this formula is composed of integrating different radiant intensities at different angles from each dA that cover different parts of the detector's surface.
You got it almost completely correct: ## P_r=\int \frac{I_o cos^4(\theta)}{R^2} \, dA_d ## where the integral is over the surface area of the detector.
 
  • #130
Charles Link said:
You got it almost completely correct: ## P_r=\int \frac{I_o cos^4(\theta)}{R^2} \, dA_d ## where the integral is over the surface area of the detector.

So if I understand correctly:

1. This integration is needed if a detector's surface ##A_d## is very large such that the formula ##I_0 \cdot cos(\theta)^4 \cdot \frac{A_d}{R^2} = P_r## would not be suitable?

2. That your mentioned integration ##P_r=\int \frac{I_o cos^4(\theta)}{R^2} \, dA_d## is used in the case if the radiating source can be considered a point source and the detector's surface ##A_d## is very large? Such that if the radiating source is also very large and can't be considered a point source, one would have to use:
$$P_r=\int \int \frac{I_o cos^4(\theta)}{R^2} \, dA_d dA$$
(An extra integration over every small radiating surface ##dA##)
 
  • #131
Your last equation needs a correction: When you go from a point source of intensity ## I ## to a source that radiates over an area, you need to write it as ## LA ## wheree ## L ## is the brightness, so that in integral form it becomes ## L \, dA ##. ## \\ ## As much as the ## cos^4(\theta) ## can be a useful result, I wouldn't use it as a universal one: e.g. in many cases, the detector faces the source, even if the detector as off at some angle ## \theta ##. Also in many cases, you simply measure the distance ## r ## from source to detector, rather than using ## z/R=cos(\theta) ##. In addition, the source doesn't always have a ## cos(\theta) ## intensity distribution. Instead, the intensity can in general be a function of both ## \theta ## and ## \phi ##, and if the intensity does not vary as ## \cos(\theta) ##, the brightness ## L ## will not be constant either, and can even vary as a function of position on the source. ## \\ ## The most general expressions are ## P=\int \frac{I(\theta,\phi)}{r^2} \, dA_d ## for point sources, where you may need to include a ## cos(\theta) ## factor if the irradiance is incident on the detector at some angle ## \theta ##, and ## P=\int\int \frac{L \,dA\, dA_d}{r^2} ## for sources that are finite in size. In general ## I=I(\theta,\phi) ## and ## L=L(\theta,\phi) ##. The brightness ## L ## can also be a function of position ##(x,y) ## on an extended source, so that more generally ## L=L(x,y, \theta, \phi) ##.
 
  • #132
Charles Link said:
As much as the cos4(θ)cos4(θ) cos^4(\theta) can be a useful result, I wouldn't use it as a universal one: e.g. in many cases, the detector faces the source, even if the detector as off at some angle θθ \theta . Also in many cases, you simply measure the distance rr r from source to detector, rather than using z/R=cos(θ)z/R=cos(θ) z/R=cos(\theta) . In addition, the source doesn't always have a cos(θ)cos(θ) cos(\theta) intensity distribution. Instead, the intensity can in general be a function of both θθ \theta and ϕϕ \phi , and if the intensity does not vary as cos(θ)cos⁡(θ) \cos(\theta) , the brightness LL L will not be constant either, and can even vary as a function of position on the source. \\ The most general expressions are P=∫I(θ,ϕ)r2dAdP=∫I(θ,ϕ)r2dAd P=\int \frac{I(\theta,\phi)}{r^2} \, dA_d for point sources, where you may need to include a cos(θ)cos(θ) cos(\theta) factor if the irradiance is incident on the detector at some angle θθ \theta , and P=∫∫LdAdAdr2P=∫∫LdAdAdr2 P=\int\int \frac{L \,dA\, dA_d}{r^2} for sources that are finite in size. In general I=I(θ,ϕ)I=I(θ,ϕ) I=I(\theta,\phi) and L=L(θ,ϕ)L=L(θ,ϕ) L=L(\theta,\phi) . The brightness LL L can also be a function of position (x,y)(x,y)(x,y) on an extended source, so that more generally L=L(x,y,θ,ϕ)L=L(x,y,θ,ϕ) L=L(x,y, \theta, \phi) .

This is actually very useful to know, thanks! Helps me understand how it really works in practice.

Charles Link said:
Your last equation needs a correction: When you go from a point source of intensity II I to a source that radiates over an area, you need to write it as LALA LA wheree LL L is the brightness, so that in integral form it becomes LdALdA L \, dA .

Got it. Regarding that formula. Say ##R^2## nor ##\theta## doesn't really change with each dA, but they do change significantly with ##dA_d##, can one then write the formula as:
$$P_r= A \cdot \int \frac{I_o cos^4(\theta)}{R^2}\, dA_d$$
 
  • #133
JohnnyGui said:
This is actually very useful to know, thanks! Helps me understand how it really works in practice.
Got it. Regarding that formula. Say ##R^2## nor ##\theta## doesn't really change with each dA, but they do change significantly with ##dA_d##, can one then write the formula as:
$$P_r= A \cdot \int \frac{I_o cos^4(\theta)}{R^2}\, dA_d$$
Yes, that is correct. In most cases, the detector (a photodiode) is quite small, but in problems such as heat transfer calculations, the receiving surface can be quite large. (You are also assuming the source has a ## cos(\theta) ## intensity distribution, which holds for ideal blackbody radiators, but is not the case in general.)
 
  • #134
Charles Link said:
Yes, that is correct. In most cases, the detector (a photodiode) is quite small, but in problems such as heat transfer calculations, the receiving surface can be quite large. (You are also assuming the source has a ## cos(\theta) ## intensity distribution, which holds for ideal blackbody radiators, but is not the case in general.)

Great, I think I'm starting to understand how the integrals are used in this subject.

Are you familiar with the quantities based on the human's eye sensitivity? I've been reading about it and I noticed that they're basically analogues to the quantities of radiant energy that we've discusses so far, but each emitted wavelength corrected for the eye's sensitivity w.r.t. 555 nm at 1/683 Watts to give the units of Lumens. So far I've concluded the analogues as follows:

- Luminous Flux is the analogue of Radiant Flux
- Luminous Intensity (candela as unit) is the analogue of Radiant Intensity
- Emittance/Luminous Exitance is the analogue of Emissive Power
- Illumination/Illuminance (Lux as unit) is the analogue of Irrradiance
- Luminance is the analogue of Radiance

Are these correct?
 
  • #135
JohnnyGui said:
Great, I think I'm starting to understand how the integrals are used in this subject.

Are you familiar with the quantities based on the human's eye sensitivity? I've been reading about it and I noticed that they're basically analogues to the quantities of radiant energy that we've discusses so far, but each emitted wavelength corrected for the eye's sensitivity w.r.t. 555 nm at 1/683 Watts to give the units of Lumens. So far I've concluded the analogues as follows:

- Luminous Flux is the analogue of Radiant Flux
- Luminous Intensity (candela as unit) is the analogue of Radiant Intensity
- Emittance/Luminous Exitance is the analogue of Emissive Power
- Illumination/Illuminance (Lux as unit) is the analogue of Irrradiance
- Luminance is the analogue of Radiance

Are these correct?
Once or twice I have found it necessary to do computations with lumens and candle power, etc., but I found it a very clumsy set of conversions, and I don't have that information at my fingertips. Otherwise, yes, your comparisons look to be correct.
 
  • #136
Charles Link said:
Once or twice I have found it necessary to do computations with lumens and candle power, etc., but I found it a very clumsy set of conversions, and I don't have that information at my fingertips. Otherwise, yes, your comparisons look to be correct.

I agree. The names that some of these quantities have are especially confusing.

I'm not sure if you can help me but there's something regarding the calculation of the Luminous flux (##\phi_v##) that has been bothering me for quite a while now which I still can't seem to grasp.

Let's say a radiating source is emitting a range of wavelengths, each wavelength at (obviously) a different amount of Watts. The amount of Lumens of one specific wavelength ##\lambda_1## is given by multiplying the amount of Watts that ##\lambda_1## is emitted at with 683 (1 Lumen is at 1/683 Watts) and then by the luminosity function ##\bar y(\lambda_1)## that indicates how sensitive that ##\lambda_1## is to the eye with respect to a wavelength of 555 nm (it's a dimensionless number, ##\bar y## at 555 nm being equal to ##1##).

If the above calculation is for one specific wavelength, one would have to integrate over the whole spectrum range that the source is emitting to know the total amount of Lumens. The Wiki shows the following formula:

df6223259e88c1cf7e8765bb75ffd570e0c697b8.png

The ##\phi_{e,\lambda}## is the spectral radiant flux in Watts/nm.

Here's what I don't get. If a spectrum range is a continuous range of emitted wavelengths, shouldn't one have to calculate the amount of lumens (or just the energy for that matter) of each infinitesimally small wavelength increase? So for example starting from a wavelength of 500nm:
$$683.002lm/W \cdot (500nm \cdot Watts(500nm) \cdot \bar y (500nm) + 500.00001nm \cdot \bar y(500.00001) \cdot Watts(500.00001) + 500.00002nm \cdot Watts(500.00002) \cdot \bar y (500.00002nm) + ...)$$
The problem is that one could take even smaller steps in wavelength increase (0.00000...001) and I'm not sure where the limit is. The ##d\lambda## in the formula above indicates that in very small range of different wavelengths, each wavelength is emitted at the same spectral radiant flux and has the same sensitivity ##\bar y##.

I have a feeling this is a general integration misunderstanding rather than a misunderstanding regarding calculating the Luminous flux.
 
  • #137
The intensity spectrum ## \Phi(\lambda) ## is a density function, so that ## \Phi(\lambda) \, \Delta \lambda ## is the amount of energy between ## \lambda ## and ## \lambda + \Delta \lambda ##. ## \\ ## You could make the analogy of letting your spectrum be represented by a football field and spreading a bunch of dirt all over it to make some hills. If you put 1000 lbs. of dirt on the field in some distribution, how much did you put at the 50 yard line? You can't give a number to that unless you know the width of the interval: e.g. 50 yds. +/- 1 yard, or 50 yards+\- 1 ft. ? There is a density of dirt that is given by pounds per yard spread across the field. If you want to know how much is at 50 yard line in an interval one foot wide, you multiply the density (in pounds per yard) by the ## \Delta x ## one foot=1/3 yard. ## \\ ## In calculating the amount of energy in the spectrum, the summation is done with an integral, but you can also numerically evaluate the integral by using a small interval ## \Delta \lambda ## and doing the computation over say 100 or 1000 points in the spectrum. The ## \Delta \lambda ## is the distance between the points. You get basically the same answer if you use 100 points across the spectrum and the ## \Delta \lambda ## corresponding to those 100 points, or 1000 points and a ## \Delta \lambda ## 1/10 the size of the previous one. Of course, the higher resolution (more points) gives more accuracy, i.e. you need to use enough points to get an accurate answer. (You of course don't need 1 million points to get good accuracy though.)
 
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  • #138
Charles Link said:
The intensity spectrum ## \Phi(\lambda) ## is a density function, so that ## \Phi(\lambda) \, \Delta \lambda ## is the amount of energy between ## \lambda ## and ## \lambda + \Delta \lambda ##. ## \\ ## You could make the analogy of letting your spectrum be represented by a football field and spreading a bunch of dirt all over it to make some hills. If you put 1000 lbs. of dirt on the field in some distribution, how much did you put at the 50 yard line? You can't give a number to that unless you know the width of the interval: e.g. 50 yds. +/- 1 yard, or 50 yards+\- 1 ft. ? There is a density of dirt that is given by pounds per yard spread across the field. If you want to know how much is at 50 yard line in an interval one foot wide, you multiply the density (in pounds per yard) by the ## \Delta x ## one foot=1/3 yard. ## \\ ## In calculating the amount of energy in the spectrum, the summation is done with an integral, but you can also numerically evaluate the integral by using a small interval ## \Delta \lambda ## and doing the computation over say 100 or 1000 points in the spectrum. The ## \Delta \lambda ## is the distance between the points. You get basically the same answer if you use 100 points across the spectrum and the ## \Delta \lambda ## corresponding to those 100 points, or 1000 points and a ## \Delta \lambda ## 1/10 the size of the previous one.

I think I'm starting to get this now. Can I say that the ##\Phi(\lambda)## in W/nm is actually the slope of the spectrum curve of a radiating source?
 
  • #139
JohnnyGui said:
I think I'm starting to get this now. Can I say that the ##\Phi(\lambda)## in W/nm is actually the slope of the spectrum curve?
The same thing comes up in probability distribution functions and probability density functions. ## F(x)=\int\limits_{- \infty}^{x} f(t) \, dt ##, where ## F(x) ## is the probability distribution function and ## f(x) ## is the probability density function. You can take the derivative of ## F(x) ##, and yes, ## F'(x)=f(x) ##. In this case the spectral density function ## \Phi(\lambda) ## corresponds to ## f(x) ##, and normally the equivalent of ## F(x) ## is not tabulated here. ## \\ ## With the football field analogy, ## F(x) ## would be the sum total of dirt to the left of the position ## x ##. With your spectrum, the function for which you want to take a derivative is not computed or tabulated. You could compute it yourself (numerically), and you would find its derivative is indeed ## \Phi (\lambda) ##, but in this case, the function you mentioned normally is not used in this application. They simply tabulate the spectral density function ## \Phi (\lambda) ##. ## \\ ## So to answer your question, can you say ## \Phi(\lambda) ## is the slope of the spectrum curve? The answer is not really. Your idea is a good one, but they simply don't tabulate that function in this application. (Alternatively, in probability theory, the function ## F(x) ## is often tabulated.)
 
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  • #140
Charles Link said:
The same thing comes up in probability distribution functions and probability density functions. ## F(x)=\int\limits_{- \infty}^{x} f(t) \, dt ##, where ## F(x) ## is the probability distribution function and ## f(x) ## is the probability density function. You can take the derivative of ## F(x) ##, and yes, ## F'(x)=f(x) ##. In this case the spectral density function ## \Phi(\lambda) ## corresponds to ## f(x) ##, and normally the equivalent of ## F(x) ## is not tabulated here. ## \\ ## With the football field analogy, ## F(x) ## would be the sum total of dirt to the left of the position ## x ##. With your spectrum, the function for which you want to take a derivative is not computed or tabulated. You could compute it yourself (numerically), and you would find its derivative is indeed ## \Phi (\lambda) ##, but in this case, the function you mentioned normally is not used in this application. They simply tabulate the spectral density function ## \Phi (\lambda) ##. ## \\ ## So to answer your question, can you say ## \Phi(\lambda) ## is the slope of the spectrum curve? The answer is not really. Your idea is a good one, but they simply don't tabulate that function in this application. (Alternatively, in probability theory, the function ## F(x) ## is often tabulated.)

I think I have found an alternative way to show why ##\Phi(\lambda)## is not the slope of a spectrum curve, although I'm not sure it's the correct way to explain this. Consider the following spectrum curve that shows many watts each wavelength is emitted from a source.
Integration6.jpg

Say I'd want to calculate the energy from the left side of this curve, starting from 400nm, up to the peak wavelength (around 560 nm) that is emitted at 680 Watt as shown.
If ##\Phi(\lambda)## is the slope (i.e. derivative) of this curve in Watts/nm, then integrating ##\Phi(\lambda)## would only give the difference in Watts between 400 nm and 560nm, which is 680 Watts. Correct?

So, this means that ##\Phi(\lambda)## must be the function of the curve itself since integrating the function of the curve itself would give the area beneath it.
Is this reasoning correct?
 
  • #141
JohnnyGui said:
I think I have found an alternative way to show why ##\Phi(\lambda)## is not the slope of a spectrum curve, although I'm not sure it's the correct way to explain this. Consider the following spectrum curve that shows many watts each wavelength is emitted from a source.
View attachment 205862
Say I'd want to calculate the energy from the left side of this curve, starting from 400nm, up to the peak wavelength (around 560 nm) that is emitted at 680 Watt as shown.
If ##\Phi(\lambda)## is the slope (i.e. derivative) of this curve in Watts/nm, then integrating ##\Phi(\lambda)## would only give the difference in Watts between 400 nm and 560nm, which is 680 Watts. Correct?

So, this means that ##\Phi(\lambda)## must be the function of the curve itself since integrating the function of the curve itself would give the area beneath it.
Is this reasoning correct?
Let ## A(\lambda)=\int\limits_{0}^{\lambda} \Phi(\lambda ') \, d \lambda ' ##, then ## \frac{d A(\lambda)}{d \lambda}=\Phi(\lambda) ##. ## \frac{d A(\lambda)}{d \lambda } ## is of course the slope of ## A(\lambda) ## vs. ## \lambda ## at any point. In spectroscopy, (unlike probability theory where the integral (area under the curve) of the Gaussian distribution is often tabulated), the function ## A(\lambda ) ## simply isn't in widespread use. Editing: I should qualify the last statement: Many times the integration of ## \Phi(\lambda) ## is performed between two wavelengths to get ## P=\int\limits_{\lambda_1}^{\lambda_2} \Phi(\lambda) \, d \lambda ##, but this is done without ever tabulating ## A(\lambda) ##. The power ## P=A(\lambda_2)-A(\lambda_1) ##, but ## \Phi(\lambda) ## is normally tabulated, and I think I can say I have never seen a table of the function ## A(\lambda) ## in any spectroscopic publication. Mathematically, it could be done this way, but it simply isn't.
 
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  • #142
Charles Link said:
Let ## A(\lambda)=\int\limits_{0}^{\lambda} \Phi(\lambda ') \, d \lambda ' ##, then ## \frac{d A(\lambda)}{d \lambda}=\Phi(\lambda) ##. ## \frac{d A(\lambda)}{d \lambda } ## is of course the slope of ## A(\lambda) ## vs. ## \lambda ## at any point. In spectroscopy, (unlike probability theory where the integral (area under the curve) of the Gaussian distribution is often tabulated), the function ## A(\lambda ) ## simply isn't in widespread use. Editing: I should qualify the last statement: Many times the integration of ## \Phi(\lambda) ## is performed between two wavelengths to get ## P=\int\limits_{\lambda_1}^{\lambda_2} ##, but this is done without ever tabulating ## A(\lambda) ##. The above ## P=A(\lambda_2)-A(\lambda_1) ##, but ## \Phi(\lambda) ## is normally tabulated, and I think I can say I have never seen a table of the function ## A(\lambda) ## in any spectroscopic publication.

So if I understand correctly ##A(\lambda)## is the total energy in a chosen wavelength range of the spectrum curve shown in my previous post. And ##A(\lambda)## has the derivatie ##\Phi(\lambda)## which is the function of the spectrum curve? (apologies if I misunderstood your post)
 
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  • #143
JohnnyGui said:
So if I understand correctly ##A(\lambda)## is the total energy in a specific wavelength range of the spectrum curve shown in my previous post that has the derivatie ##\Phi(\lambda)## which is the function of the spectrum curve? (apologies if I misunderstood your post)
Starting at the left end of the curve, yes, ## A (\lambda) ## is the area under the curve up to (and including) wavelength ## \lambda ##. It is analogous mathematics that distance ## s(t)=\int\limits_{0}^{t} v(t') \, dt' ## and ## \frac{d s(t)}{dt}=v(t) ##. If you have a graph of the velocity ## v ## vs. time ## t ##, the area under the curve is the distance traveled. Meanwhile on a graph of ## s ## vs. ## t ##, ## v=\frac{ds}{dt} ## is the slope of that graph at any point.
 
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  • #144
Charles Link said:
Starting at the left end of the curve, yes, ## A (\lambda) ## is the area under the curve up to (and including) wavelength ## \lambda ##.

Great, because this leads me to the root of my problem XD. If ##\Phi(\lambda)## is the function of the spectrum curve, then how does it have units of Watts per nanometre? Shouldn't it give only Watts for a chosen wavelength? The per nanometre part kind of implies that it's a derivative of the spectrum curve while it isn't.
 
  • #145
Charles Link said:
Starting at the left end of the curve, yes, ## A (\lambda) ## is the area under the curve up to (and including) wavelength ## \lambda ##.
JohnnyGui said:
Great, because this leads me to the root of my problem XD. If ##\Phi(\lambda)## is the function of the spectrum curve, then how does it have units of Watts per nanometre? Shouldn't it give only Watts for a chosen wavelength? The per nanometre part kind of implies that it's a derivative of the spectrum curve while it isn't.
Please read the edited version of my previous post. ## \\ ## To answer the nanometer question, if the wavelength is in nanometers, then ## \Phi(\lambda) ## has units of watts per nanometer. Over a 50 nm interval, say from 550-600 nm, it will integrate correctly if you take the height of the curve at 575 nm (assuming it is a uniform height) and multiply by 50. Numerically, you could do the following ## P=\Phi(550) \, 5 \, nm+\Phi(555) \, 5 \, nm +\Phi(560) \, 5 \,nm +... +\Phi(595) \, 5 \, nm ##. Alternatively, at higher resolution ## P=\Phi(550) \, 1 \, nm +\Phi(551) \, 1 \, nm+... +\Phi(599) \, 1 \, nm ##. You'll basically get the same answer both ways with the higher resolution possibly providing increased accuracy. ## \\ ## Meanwhile, yes, ## \Phi(\lambda) ## is the derivative of ## A(\lambda) ##, but they don't call ## A(\lambda) ## the spectrum curve (they call ## \Phi(\lambda) ## the spectral curve) =they normally don't give ## A(\lambda) ## any name=again, mathematically, they could have gone the route you are asking about, but it simply has never been presented that way. ## \\ ## Additional item of interest is the Planck blackbody spectral function ## L(\lambda, T) ## back in post # 81. You may find it of interest that this function also has units of watts/.../per unit wavelength. If a graph is displayed with wavelength in nm, then it has units of watts/.../nm. Other than the extra units of watts/(m^2 sr nm), this function is very much like the function ## \Phi(\lambda) ##.
 
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  • #146
Charles Link said:
Please read the edited version of my previous post. ## \\ ## To answer the nanometer question, if the wavelength is in nanometers, then ## \Phi(\lambda) ## has units of watts per nanometer. Over a 50 nm interval, say from 550-600 nm, it will integrate correctly if you take the height of the curve at 575 nm (assuming it is a uniform height) and multiply by 50. Numerically, you could do the following ## P=\Phi(550) \, 5 \, nm+\Phi(555) \, 5 \, nm +\Phi(560) \, 5 \,nm +... +\Phi(595) \, 5 \, nm ##. Alternatively, at higher resolution ## P=\Phi(550) \, 1 \, nm +\Phi(551) \, 1 \, nm+... +\Phi(599) \, 1 \, nm ##. You'll basically get the same answer both ways with the higher resolution possibly providing increased accuracy. ## \\ ## Meanwhile, yes, ## \Phi(\lambda) ## is the derivative of ## A(\lambda) ##, but they don't call ## A(\lambda) ## the spectrum curve (they call ## \Phi(\lambda) ## the spectral curve) =they normally don't give ## A(\lambda) ## any name=again, mathematically, they could have gone the route you are asking about, but it simply has never been presented that way. ## \\ ## Additional item of interest is the Planck spectral function ## L(\lambda, T) ## back in post # ... You may find it of interest that this function also has units of watts/.../per unit wavelength. If a graph is displayed with wavelength in nm, then it has units of watts/.../nm.

I think your analogy with the velocity-time diagram made me find the culprit. My spectrum graph shown in post #140 has a y-axis in Watts, and not in Watts/nanometre. Hence if you integrate a function that has Watts/nm as units (##\Phi(\lambda)##) you'll merely get the difference in Watts between the 2 chosen wavelengths in my Watts vs ##\lambda## spectrum curve in post #140.

So with your mentioned example of integrating ##\Phi(\lambda)## between ##550nm-600nm##, in a Watts vs ##\lambda## graph this would give give the following answer:
Difference.jpg


However, in a graph of Watts/nm vs ##\lambda##, integrating ##\Phi(\lambda)## would give the area under that Watts/nm vs ##\lambda## graph.

So my question is; if I'm using a Watts vs ##\lambda## graph (like in my post #140) instead of a Watts/nm vs ##\lambda## graph, and I want to calculate the energy within a specific wavelength range using that graph, shouldn't I integrate a function other than ##\Phi(\lambda)## to get the area under that Watts vs ##\lambda## graph? Is that the step by step numerical calculation that you were talking about in your post #145?
 
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  • #147
JohnnyGui said:
I think your analogy with the velocity-time diagram made me find the culprit. My spectrum graph shown in post #140 has a y-axis in Watts, and not in Watts/nanometre. Hence if you integrate a function that has Watts/nm as units (##\Phi(\lambda)##) you'll merely get the difference in Watts between the 2 chosen wavelengths in my Watts vs ##\lambda## spectrum curve in post #140.

So with your mentioned example of integrating ##\Phi(\lambda)## between ##550nm-600nm##, in a Watts vs ##\lambda## graph this would give give the following answer:
View attachment 205866

However, in a graph of Watts/nm vs ##\lambda##, integrating ##\Phi(\lambda)## would give the area under that Watts/nm vs ##\lambda## graph.

So my question is; if I'm using a Watts vs ##\lambda## graph (like in my post #140) instead of a Watts/nm vs ##\lambda## graph, and I want to calculate the energy within a specific wavelength range using that graph, shouldn't I integrate a function other than ##\Phi(\lambda)## to get the area under that Watts vs ##\lambda## graph? Is that the step by step numerical calculation that you were talking about in your post #145?
I do believe you have most of it figured out. Good work ! ## \\ ## In your post #140, that graph is clearly mislabeled on the y-axis and it should read watts/nm. Sometimes, the per nm designation is understood, but it really belongs in the label on the y-axis. ## \\ ## Just an additional comment: With these spectral curves, you always compute the area under the curve=you don't take a difference such as ## N-X ##. In that particular instance, I think you are trying to do something that is incorrect. These spectral curves are ## \Phi(\lambda) ## type curves in all cases (e.g. per unit wavelength). They are not ## A(\lambda) ## type curves. If you were showing a graph of ## A(\lambda) ## vs. ## \lambda ## in post 146, then what you did is correct, but again, it simply is never done that way in spectroscopy. ## \\ ## (And to say it again=it is a common technique in probability theory to tabulate the integrated curve ## A(\lambda) ##. The two letters they typically use are ## F(\lambda) ## (for the integrated), and ## f(\lambda) ## for what they call the probability density function, but the spectroscopists do it without the ## A(\lambda) ##).
 
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  • #148
Charles Link said:
I do believe you have most of it figured out. Good work ! ## \\ ## In your post #140, that graph is clearly mislabeled on the y-axis and it should read watts/nm. Sometimes, the per nm designation is understood, but it really belongs in the label on the y-axis.

This has been bothering me for a long while and I can't believe this was actually the culprit. Thanks a lot for explaining this!

Let's say I'm very stubborn and I want to use the graph in my post #140 with just Watts on the y-axis vs ##\lambda## to calculate the energy between 550nm-600nm. Should I read off the amount of Watts for each wavelength within 550-600 nm and add them all together? Or would this still give an incorrect answer?
 
  • #149
JohnnyGui said:
This has been bothering me for a long while and I can't believe this was actually the culprit. Thanks a lot for explaining this!

Let's say I'm very stubborn and I want to use the graph in my post #140 with just Watts on the y-axis vs ##\lambda## to calculate the energy between 550nm-600nm. Should I read off the amount of Watts for each wavelength within 550-600 nm and add them all together? Or would this still give an incorrect answer?
When they make what is really a mistake with their units on the y-axis, you need to question whether the numbers such as 600 and 700 watts/nm are correct, but using those numbers, when integrating this source, the answer that you get it that it has about 70,000 watts of radiated power. (I estimated this by taking 500 watts/nm at the shoulders near the peak multiplied by a width of about ## \Delta \lambda=100 ## nm, (for wavelength ## \lambda ## from 600 nm to 700 nm) and then observing the entire area under the curve might be about 35% more). It general, I would recommend finding a book that gets the units correct, but it still made for a useful diagram. ## \\ ## Note: In computing these integrals numerically, it is much easier to use a lower resolution , e.g. ## \Delta \lambda=10 \, nm ## or even ## \Delta \lambda =100 \, nm ##. The summation you do is ## \sum\limits_{i} \Phi(\lambda_i) \, \Delta \lambda ##. (At higher resolution=smaller ## \Delta \lambda ##, there are more ## \Phi(\lambda_i) ## terms in the sum. At low resolution (e.g. ## \Delta \lambda=100 \, nm ## ), you might have i=1 to 10. At very high resolution (e.g. ## \Delta \lambda=1 \, nm ##), you would then have i=1 to 1000, etc.) As I showed in post # 145, you can do it at various resolutions, but there is no reason to use ## \Delta \lambda=1 \, nm ##. When the spectral curve has little structure, you can get a very accurate answer with a low resolution summation. If you followed the explanation of how I estimated 70,000 watts, I basically computed the integral at a resolution of ## \Delta \lambda=100 \, nm ##. If you compute it at ## \Delta \lambda =1 \, nm ## resolution, it might take you 30 minutes or more by hand ,(of course you can simply use a spreadsheet and let the computer do the work), and most likely you will still get an answer for the area under the entire curve of about 70,000 watts.
 
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  • #150
Charles Link said:
When they make what is really a mistake with their units on the y-axis, you need to question whether the numbers such as 600 and 700 watts/nm are correct, but using those numbers, when integrating this source, the answer that you get it that it has about 70,000 watts of radiated power. (I estimated this by taking 500 watts/nm at the shoulders near the peak multiplied by a width of about Δλ=100Δλ=100 \Delta \lambda=100 nm, (for wavelength λλ \lambda from 600 nm to 700 nm) and then observing the entire area under the curve might be about 35% more). It general, I would recommend finding a book that gets the units correct, but it still made for a useful diagram. \\ Note: In computing these integrals numerically, it is much easier to use a lower resolution , e.g. Δλ=10nmΔλ=10nm \Delta \lambda=10 \, nm or even Δλ=100nmΔλ=100nm \Delta \lambda =100 \, nm . The summation you do is ∑iΦ(λi)Δλ∑iΦ(λi)Δλ \sum\limits_{i} \Phi(\lambda_i) \, \Delta \lambda . (At higher resolution=smaller ΔλΔλ \Delta \lambda , there are more Φ(λi)Φ(λi) \Phi(\lambda_i) terms in the sum. At low resolution (e.g. Δλ=100nmΔλ=100nm \Delta \lambda=100 \, nm ), you might have i=1 to 10. At very high resolution (e.g. Δλ=1nmΔλ=1nm \Delta \lambda=1 \, nm ), you would then have i=1 to 1000, etc.) As I showed in post # 145, you can do it at various resolutions, but there is no reason to use Δλ=1nmΔλ=1nm \Delta \lambda=1 \, nm . When the spectral curve has little structure, you can get a very accurate answer with a low resolution summation. If you followed the explanation of how I estimated 70,000 watts, I basically computed the integral at a resolution of Δλ=100nmΔλ=100nm \Delta \lambda=100 \, nm . If you compute it at Δλ=1nmΔλ=1nm \Delta \lambda =1 \, nm resolution, it might take you 30 minutes or more by hand ,(of course you can simply use a spreadsheet and let the computer do the work), and most likely you will still get an answer for the area under the entire curve of about 70,000 watts.

You mentioned here that this computation has to be done for a graph that has Watts/nm on the y-axis (a ##\Phi(\lambda)## vs ##\lambda## curve) right?
I might have misunderstood you, but I meant calculating the energy if the graph is a ##A(\lambda)## vs ##\lambda## curve (i.e. Watts on the y-axis instead of Watts/nm).

I might be blacking out again but here's what I find colliding:

For a ##\Phi(\lambda)## vs ##\lambda## curve that has Watts/nm on the y-axis, you'd have to integrate ##\Phi(\lambda)## for a certain wavelength range to calculate the energy. Just like integrating a ##v## vs ##t## curve between ##t_1-t_2## would give the distance ##s## traveled between ##t_1 - t_2## which is the distance ##s## at ##t_2## minus distance at ##t_1## in a ##s## vs ##t## curve, integration of ##\Phi(\lambda)## between ##\lambda_1 - \lambda_2## in a ##\Phi(\lambda)## vs ##\lambda## curve would give the energy between ##\lambda_1-\lambda_2## which is the energy at ##\lambda_2## minus the energy of ##\lambda_1## in a ##A(\lambda)## curve, if I understand this correctly.

However, say I now have a ##A(\lambda)## vs ##\lambda## curve which has Watts on the y-axis and I want to calculate the energy from that curve between ##\lambda_1-\lambda_2##. In this case, my instinct would say that I'd have to add up every amount of Watts corresponding to each wavelength between ##\lambda_1-\lambda_2## (with a high resolution for examle). Notice that this would NOT give the same answer as when I integrate ##\Phi{\lambda}## in a ##\Phi(\lambda)## curve between ##\lambda_1 - \lambda_2##, since that would merely give the difference of the energy between ##\lambda_1## and ##\lambda_2## in a ##A(\lambda)## curve.

You probably have been trying to explain me this the whole time, but I don't really get how I should calculate the amount of energy from a ##A(\lambda)## vs ##\lambda## curve to get the same amount of energy as integrating a ##\Phi(\lambda)## vs ##\lambda## curve.
 

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