Homing in on Flare Energy: Difference between revisions

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The basic trick is just to note that the energy, in whatever units, is the
The basic trick is just to note that the energy, in whatever units, is the
simple integral of the spectral energy (ie, per unit bandwidth).
simple integral of the spectral energy (ie, per unit bandwidth).
Thus f<sub>&lambda;</sub>d&lambda; and F<sub>&nu;</sub>d&nu: are both
Thus f<sub>&lambda;</sub>d&lambda; and F<sub>&nu;</sub>d&nu; both are
simply energy or power, with suitable adjustments between the cgs and MKS
simply energy or power, with suitable adjustments between the cgs and MKS
(or other) representations.
(or other) representations.
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often confused themselves on this score, hence the Nugget.
often confused themselves on this score, hence the Nugget.


== Why &lambda;f<sub>&lambda;</sub>? ==
== Why &lambda;f<sub>&lambda;</sub>? Or &nu;f<sub>&nu;</sub>? ==


Because of Equation (1) here.
Because of Equation (1) here.
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of an astronomical compact object.
of an astronomical compact object.
Note the twenty-decade breadth of the X-axis here!
Note the twenty-decade breadth of the X-axis here!
In this case the authors have chosen to compress the Y-axis logarithmically, which of course destroys
the "area = energy" law for such plots, but adjusting for this is an easier mental excercise.
]]
]]


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for example, the thermal free-free spectrum seen by GOES and in thermal microwave emission underlies
for example, the thermal free-free spectrum seen by GOES and in thermal microwave emission underlies
the whole spectrum from 1 A to 10 cm.
the whole spectrum from 1 A to 10 cm.
== The case of the solar flare ==
A solar flare concentrates its radiant energy near the visible/UV range, but with much broader extensions at
both extremes of the spectrum.
The flare spectrum is broadband, but how much actual energy is in the extremes?
The &lambda;f<sub>&lambda;</sub> plot shows us immediately, or at least points directly to our
ignorance, and therefore should be taken seriously as a tool for planning future observations.

Revision as of 14:57, 14 April 2014


Nugget
Number: 223
1st Author: Hugh Hudson
2nd Author: Ryan Milligan
Published: April 14, 2014
Next Nugget: TBD
Previous Nugget: Empirical Constructs and Cartoons



Introduction

We often want to represent the distribution of energy in the spectrum of an astronomical object, such as a solar flare. An energy spectrum can have many representations; two common ones are fλ (in CGS, with wavelength units) ergs/cm2 s A, or Fν (in SI, with frequency units) W/m2 s Hz. Needless to say, a profusion of other forms exists, often tailored to a specific kind of observation, and there is much nuisance involved in making comparisons. In flare physics this now has become very interesting, owing to the big breakthrough in Ref. [1], in which the total radiant energy of a solar flare could be determined bolometrically. Now the question is, where within the spectral energy distribution does a flare choose to put this energy? With modern broadband data such as those from [SDO], we are now homing in on the answer to this long-standing question.

This Nugget explains a frequently-used stratagem for a quick visual overview of heterogeneous data. The basic trick is just to note that the energy, in whatever units, is the simple integral of the spectral energy (ie, per unit bandwidth). Thus fλdλ and Fνdν both are simply energy or power, with suitable adjustments between the cgs and MKS (or other) representations. We realize that everybody understands this, and yet the Nuggeteers here have often confused themselves on this score, hence the Nugget.

Why λfλ? Or νfν?

Because of Equation (1) here. This shows that if one plots this quantity on a linear-logarithmic basis, equal areas must have equal energies (or power levels, if the quantities are differential in time as well as bandpass). One can mix and match any spectral form here and obtain a correct representation.

223f1.png

This kind of representation is often used in non-solar astrophysics, where one may have skimpy data at wavelength (or frequency ranges) very distantly scattered across a spectrum many decades wide. An example appears here in Figure 1, taken from a page describing results at TeV energies that need to be compared with meter-wavelength radio data. This plot combines [Nancay] and [HESS] data at the extremes, with other information in between.

A typical application of the νFν representation of the spectral energy distribution of an astronomical compact object. Note the twenty-decade breadth of the X-axis here! In this case the authors have chosen to compress the Y-axis logarithmically, which of course destroys the "area = energy" law for such plots, but adjusting for this is an easier mental excercise.

We do not often have to describe such greatly extended energy distributions in solar flares, but of course they do appear all across the wavelength range. for example, the thermal free-free spectrum seen by GOES and in thermal microwave emission underlies the whole spectrum from 1 A to 10 cm.

The case of the solar flare

A solar flare concentrates its radiant energy near the visible/UV range, but with much broader extensions at both extremes of the spectrum. The flare spectrum is broadband, but how much actual energy is in the extremes? The λfλ plot shows us immediately, or at least points directly to our ignorance, and therefore should be taken seriously as a tool for planning future observations.