Lecture 6 Flashcards

1
Q

The PSF can be composed of the

A

instrument and the atmospheric PSF

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2
Q

Overall PSF can be measured by observing

A

a bright point source near the target object

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3
Q

For most UV-IR instruments, the image PSF caused by the instrument is

A

broader than the diffraction pattern

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4
Q

Even if you can make the different contributions to the PSF as small as possible you can not get better than

A

the instrument’s diffraction pattern i.e. diffraction-limited.

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5
Q

Instrument PSF can arise from

A

aperture diffraction; scattering from roughness/dirt on mirrors or other surfaces

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6
Q

Aperture photometry

A

-define apertures of different sizes
-sum counts in each aperture
-counts tend to true counts as aperture size increases
-but background noise also increases with larger apertures

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7
Q

Instrumental line profile

A

in spectroscopy, lines recorded have a profile of intensity versus wavelength that is a combination of the true line profile and the instrumental line profile

also called the spectral PSF

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8
Q

Ideally the ILP will be

A

symmetric, and narrower than the true line profile

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9
Q

A single line observed intensity is

A

O(λ2) = I(λ1) ILP(λ2-λ1)

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10
Q

a spectrum contributes to the intensity is

A

O(λ2) = I * ILP

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11
Q

The line of sight velocity distribution (LOSVD) is:

A

F(v LOS) d v(LOS) = fraction of stars contributing to spectrum

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12
Q

spectral velocity u (formula/derivation)

A

u = c ln λ

Δu/Δλ = c 1/λ

Δu = c Δλ/λ = v(LOS)

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13
Q

Galaxy spectral velocity

A

G(u) ∝ (-∞ ∫ ∞) F(v(LOS)) S(u-v(LOS)) dv(LOS)

G(u) is the observed galaxy spectrum

F(v(LOS)) v(LOS) distribution function

S(u-v(LOS)) stellar spectrum

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14
Q

the observed galaxy spectrum is

A

smeared out version stellar spectrum by LOSVD

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15
Q

Cross - correlation

A

find lag/shift between two signals => log/shift with max CCF

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16
Q

v(LOS) of whole galaxy

A

CCF(v(LOS)) = (-∞ ∫ ∞) G(u) S(u-v(LOS))du

17
Q

if v(LOS) does not align the two signals,

A

CCF is small

18
Q

if v(LOS) does align the two signals

A

CCF is large

19
Q

we can estimate v(LOS) by

A

calculating the CCF for many trial values of v(LOS) and S(u-v(LOS)) and finding its maximum value

20
Q

Auto-correlation

A

finding a period shift in our data

21
Q

the auto-correlation of a time series

A

measures how well a signal matches a time-shifted version of itself

22
Q

So the auto-correlation function of time series f is (formula)

A

ACF(τ) = (-∞ ∫ ∞) f(t) f(t-τ)dt

23
Q

when the lag is a multiple of the period τ = nT

A

get a max ACF

24
Q

when the lag is half a period out τ = (2n+1) T/2

A

get a min ACF

25
Q

in |ACF|^2 you will get a peak when

A

τ = (n+1) T/2