IOAA 2021, Анализ на данни — Задача 1. Data Analysis 1: Scaling Relations

Data Analysis 1: Scaling Relations (75 points) · 75 т.

Внимание: Бележка към темата

The official solution labels 2.1 as 10 points; the question and answer sheet give 6 points, retained in the task scoring. Its references to 1A/1B and positive TF slope in 2.3 are retained as printed. The key mentions a plot on the right in 1.1, but no such plot is printed in the supplied key; all three question graphs are included. The constants sheet prints 23d for a sidereal day and omits solar symbols in several labels; original notation is retained. The three-page blank answer sheet repeats the nine requests and mass table and is included among the original sources.

General instructions: Data Analysis (150 points)

The data analysis competition lasts for 3 hours and is worth a total of 150 points.

Before the exam

  • You must not open the marked envelopes containing the problems before the signal indicating the beginning of the examination.
  • The beginning and end of the examination will be marked by a signal from your supervisors, they will also let you know when there are fifteen minutes before the end of the exam.

During the exam

  1. The Data Analysis Examination consists of two parts DA1 and DA2. On your desk you should find a marked envelope with DA1 and DA2. Inside each envelope you will find:
    • Cover Sheet for each question with question title, your student code, question code, and your name. Example: Data Analysis 1 (Title) GBR-1 DA-1 John Smith (please make sure these are correct)
    • Question Sheets (marked Q)
    • Answer Sheets (marked A)
    • Working Sheets (marked W)
  2. Dedicated IOAA Answer Sheets (marked A) are provided for writing your answers. Enter the final answers into the appropriate boxes in the corresponding Answer Sheet. Please write only on the printed side of the sheet. Do not use the reverse side. Working Sheets (marked W) are provided for calculations.
  3. Use a black or blue pen for all answers and calculations, this will allow the markers to see your answers better after scanning. If you think you made a mistake cross it out.
  4. Use as many mathematical expressions as you think may help the graders to better understand your solutions. The graders may not understand your language. If it is necessary to explain something in words, please use short phrases (if possible, in English).
  5. You are not allowed to leave your working desk without permission. If you need any assistance (malfunctioning calculator, need to visit a restroom, etc.), please put up your hand to signal the supervisor.
  6. At the end of the competition you must stop writing immediately. Sort your Answer Sheets and Working Sheets for each question (DA1 and DA2) and leave them to be collected in their corresponding envelopes and according to the supervisor's instructions. You are not allowed to take any sheet of paper out of the examination area.

Условие

Please read the general instructions in the separate envelope before you start this problem.

Spiral galaxies are disk-like rotating structures, whose dynamical state is fairly grasped by the so-called rotation curves, quantifying the mean rotational velocity of the disk at different distances from the center (see Figure 1, curve B). An interesting feature is the flat region of the curve, which is attributed to the presence of dark matter. Without it, rotation velocities would drop steadily at large radii from the center, as depicted in curve A.

Two rotation curves on unlabelled axes: a solid curve B that rises steeply and then stays flat at large radius, and a dashed curve A that rises to the same peak and then declines steadily with radius.
Figure 1: Rotation curves. Circular velocity (Y-axis) vs Radius (X-axis)

In disk galaxies a strong correlation has been observed between the intrinsic luminosity of the whole galaxy and the asymptotic rotational velocity (as given by the rotation curve for the outer edge of the galaxy i.e. RmaxR_{\mathrm{max}}), a result that is known as the Tully-Fisher relation. This relation also holds if you use the luminosity in a specific band. This is shown on Figure 2 for a number of galaxies in a galaxy cluster. Every dot is a galaxy, and the solid line is the best-fit linear relation between absolute magnitude in KK band and log10(Vmax)log_{10}(V_{\mathrm{max}}) for the whole sample.

Scatter plot with a grid and no tick values; x-axis labelled log10(Vmax[km s^-1]), y-axis labelled Absolute K magnitude. Grey dots are galaxies, five larger black dots are the selected galaxies, and a solid best-fit straight line runs from lower left to upper right.
Figure 2: Absolute magnitude in KK band vs log⁡10(Vmax[km s−1])\log_{10}(V_{\mathrm{max}}[km\,s^{-1}]). Tully-Fisher relation for several galaxies. Every dot represents a galaxy. The dark points are five selected galaxies, for which we will provide some numbers in part 1.2.
Scatter plot on a fine grid of log10(Mgas/M*) (y-axis, from -2 to 2) against log10(M* [M_sun]) (x-axis, from 7 to 12). The dots follow a declining trend and a solid straight line runs from (7, 2) down to about (12, -1.8).
Figure 3: Gas fraction vs stellar mass.

Another interesting trend is shown in Figure 3: disks with larger stellar masses (M∗M_*) tend to have smaller gas fractions (Mgas/M∗M_{gas}/M_*).

In the following questions you will be asked to extract physical information about the galaxies using the scaling relations just introduced. Consider the following guidelines:

  • Assume that VmaxV_{\mathrm{max}} was measured at the same radius for all galaxies (RmaxR_{\mathrm{max}}), in the flat part of the rotation curves and well beyond the end of the stellar disk.
  • Use MdmM_{dm} for the dark matter mass up to RmaxR_{max} and MtotM_{tot} for the sum of all components.(gas, stars and dark matter)
  • Assume that all galaxies have identical stellar populations1^1, and assume that the gaseous component does not interact with the stellar light.
  • The galaxy cluster is far away. Its distance is much larger than the cluster size.
  • In spherically-symmetric mass distributions, to infer the gravitational effect on a particle at distance rr from the center, it suffices to consider the total mass enclosed up to that radius M(≤r)M(\leq r) as if it were placed at the very center of the distribution.

1^1The term stellar population refers to the type of stars that are present in a galaxy, and the relative amount of each type with respect to the total number of stars.

Part 1 (20 т.)

1.1 From an analysis of Figure 3, find the appropriate constants in the following relation: Mgas=a×M∗bM_{gas} = a \times M_*^b

a=?a = ?
b=?b = ?

[5 т.]

1.2 In the plot of the Tully-Fisher relation there are 5 highlighted points. Data for these 5 galaxies is given in the following table. Use this dataset to find the appropriate constants for TF relation presented below the table, by means of a linear fit using the method of least squares.

Note: Treat log10(Vmax)log_{10}(V_{\mathrm{max}}) as the xx variable and KK as the yy variable in the linear fit.

Vmax[km/s]V_{\mathrm{max}}[km/s]K[mag]K[mag]
79.479.4−16.8-16.8
100.1100.1−19.2-19.2
158.5158.5−21.3-21.3
251.2251.2−21.4-21.4
316.2316.2−24.0-24.0
K=c×log10(Vmax)+dK = c \times log_{10}(V_{max}) + d
c=?c = ?
d=?d = ?

[15 т.]

Part 2 (16 т.)

For two galaxies, G1 and G2, in the cluster, the recorded apparentapparent magnitudes are:

k1=19.2;k2=25.2k_1 = 19.2 \qquad ; \qquad k_2 = 25.2

Using this information and the relations calibrated in Part 1 find the correct exponents in the following equations:

2.1

M∗1M∗2=10e;e=?\frac{M_{*1}}{M_{*2}} = 10^e \qquad ; \qquad e = ?

[6 т.]

2.2

Mgas1Mgas2=10f;f=?\frac{M_{gas1}}{M_{gas2}} = 10^f \qquad ; \qquad f = ?

[4 т.]

2.3

Mtot1Mtot2=10g;g=?\frac{M_{tot1}}{M_{tot2}} = 10^g \qquad ; \qquad g = ?

[6 т.]

Part 3 (15 т.)

3.1

GalaxyApparent magnitude kkMgas[M⊙]M_{gas}[M_{\odot}]M∗ [M⊙]M_*\ [M_{\odot}]Mdm[M⊙]M_{dm}[M_{\odot}]Mtot [M⊙]M_{tot}\ [M_{\odot}]
G1G_119.219.24.39×10114.39\times10^{11}

Fill in the missing values in the table using the fact that for galaxy G1G_1, the dark-to-baryonic mass ratio up to RmaxR_{\mathrm{max}} is 6.826.82. [15 т.]

Part 4 (24 т.)

4.1 Consider a systematic uncertainty of σsys=±0.2\sigma_{sys} = \pm 0.2 in each apparent magnitude due to CCD calibration errors. Then k1k_1 must be read as k1=19.2±0.2k_1 = 19.2 \pm 0.2, i.e., the only thing we know is that k1k_1 most likely lies in the interval [19.0,19.4][19.0, 19.4]. The same goes for k2k_2.
Recalculate the exponent in the scaling relation M∗1M∗2=10e\frac{M_{*1}}{M_{*2}} = 10^e (found in 2.1), expressing ee as an interval estimated by considering the extreme possible variations in k1k_1and k2k_2 .

e∈[?,?]e \in [?, ?]

[4 т.]

4.2 Now we consider that there is always a natural spread of the data around any relation. For instance, for a given value of the KK magnitude the TF relation gives a single value of log10(Vmax)log_{10}(V_{\mathrm{max}}), but it would be more realistic to report an interval of plausible values, derived from the natural spread of the data around the mean TF relation. We call this the statistical uncertainty, σstat\sigma_{stat}.
Estimate the statistical uncertainty if log10(Vmax)log_{10}(V_{\mathrm{max}}) is inferred from KK using the TF relation from question 1.2. For this, consider for each point the difference between the value of log10(Vmax)log_{10}(V_{\mathrm{max}}) estimated from KK using your linear fit and the actual measurement of log10(Vmax)log_{10}(V_{\mathrm{max}}), and take σstat\sigma_{stat} as two times the root mean square (RMS) of these differences†^{\dagger}.

σstat=?\sigma_{stat} = ?

†^{\dagger}The RMS of a set of values is the square root of the arithmetic mean of the squares of those values. [10 т.]

4.3 Recalculate the exponent in the scaling relation Mtot1Mtot2=10g\frac{M_{tot1}}{M_{tot2}} = 10^g, expressing gg as an interval estimated by considering the extreme possible variations arising from both the systematic and statistical uncertainties:

g∈[?,?]g \in [?, ?]

[10 т.]

Отговори

Решение

Standard Table of Constants — Fundamental Constants
QuantitySymbolValue
Speed of light in vacuumcc2.998×108 ms−12.998\times10^8\,ms^{-1}
Planck constanthh6.626×10−34 J s6.626\times10^{-34}\,J\,s
Boltzmann constantkBk_B1.381×10−23 J K−11.381\times10^{-23}\,J\,K^{-1}
Stefan-Boltzmann constantσ\sigma5.670×10−8 W m−2 K−45.670\times10^{-8}\,W\,m^{-2}\,K^{-4}
Elementary chargeee1.602×10−19 C1.602\times10^{-19}\,C
Universal gravitational constantGG6.674×10−11 N m2 kg−26.674\times10^{-11}\,N\,m^2\,kg^{-2}
Universal gas constantRR8.315 J mol−1 K−18.315\,J\,mol^{-1}\,K^{-1}
Avogadro constantNAN_A6.022×1023 mol−16.022\times10^{23}\,mol^{-1}
Wien's displacement lawλmT\lambda_mT2.898×10−3 m⋅K2.898\times10^{-3}\,m\cdot K
Mass of electronmem_e9.109×10−31 kg9.109\times10^{-31}\,kg
Mass of protonmpm_p1.673×10−27 kg1.673\times10^{-27}\,kg
Mass of neutronmnm_n1.675×10−27 kg1.675\times10^{-27}\,kg
Atomic mass unit (a.m.u.)1.661×10−27 kg1.661\times10^{-27}\,kg
Astronomical Data
QuantitySymbolValue
1 parsec1 pc1\,pc3.086×1016 m=206 265 au=3.262 ly3.086\times10^{16}\,m = 206\,265\,au = 3.262\,ly
1 astronomical unit1 au1\,\mathrm{au}1.496×1011 m1.496\times10^{11}\,m
1 jansky1 Jy1\,\mathrm{Jy}10−26 W m−2 Hz−110^{-26}\,W\,m^{-2}\,Hz^{-1}
Hubble constantH0H_070 kms−1 Mpc−170\,kms^{-1}\,Mpc^{-1}
Solar luminosityLL3.826×1026 W3.826\times10^{26}\,W
Apparent angular diameter of Sunθ\theta32′32'
Effective temperature of SunTeff,T_{eff,}5778 K5778\,K
Obliquity of the ecliptic (Earth)ε\varepsilon23.5∘23.5^\circ
Inclination of the lunar orbit w.r.t. ecliptic05∘08′43′′05^\circ08'43''
Apparent visual magnitude of full moon−12.74-12.74
North Ecliptic Pole (J2000.0)(αE,δE)(\alpha_E,\delta_E)(18h00m00s,+66∘33′39′′)(18^h00^m00^s,+66^\circ33'39'')
North Galactic Pole (J2000.0)(αG,δG)(\alpha_G,\delta_G)(12h51m26s,+27∘07′42′′)(12^h51^m26^s,+27^\circ07'42'')
1 sidereal day23d56m04s23^d56^m04^s
1 tropical year365.2422 solar days365.2422\ solar\ days
1 sidereal year365.2564 solar days365.2564\ solar\ days

Solar Magnitudes

QuantityValue
Apparent visual−26.75-26.75
Absolute visual+4.82+4.82
Apparent bolometric−26.83-26.83
Absolute bolometric+4.74+4.74
Solar System
ObjectMean radius (km)Mass (kg)Semi-major axis (au)Eccentricity
Sun695 500695\,5001.988×10301.988\times10^{30}------
Mercury2 4402\,4403.301×10233.301\times10^{23}0.3870.3870.2060.206
Venus6 0526\,0524.867×10244.867\times10^{24}0.7230.7230.0070.007
Earth6 3786\,3785.972×10245.972\times10^{24}1.0000001.0000000.016 7100.016\,710
Moon1 7371\,7377.346×10227.346\times10^{22}0.0025720.0025720.054 9000.054\,900
Mars3 3903\,3906.417×10236.417\times10^{23}1.5241.5240.0930.093
Jupiter69 91169\,9111.898×10271.898\times10^{27}5.2035.2030.0480.048
Saturn58 23258\,2325.683×10265.683\times10^{26}9.5379.5370.0540.054
Uranus25 36225\,3628.681×10258.681\times10^{25}19.18919.1890.0470.047
Neptune24 62224\,6221.024×10261.024\times10^{26}30.07030.0700.0090.009

Gauss’s Formulae

Cosine theorem:

cos⁡a=cos⁡bcos⁡c+sin⁡bsin⁡ccos⁡A\cos a=\cos b\cos c+\sin b\sin c\cos A

Sine theorem:

sin⁡asin⁡A=sin⁡bsin⁡B=sin⁡csin⁡C\frac{\sin a}{\sin A}=\frac{\sin b}{\sin B}=\frac{\sin c}{\sin C}

Equation for the linear least squares fit:

y=b1x+b2y=b_1x+b_2

where

b1=n∑xiyi−(∑xi)(∑yi)n∑xi2−(∑xi)2b_1=\frac{n\sum x_i y_i-(\sum x_i)(\sum y_i)}{n\sum x_i^2-(\sum x_i)^2}

and b2=yˉ−b1xˉb_2=\bar y-b_1\bar x.

xˉ\bar x and yˉ\bar y are average values of xx and yy.


Оригинал в Архива: DA-1-Q.pdf · официални решения: Data Analysis Solutions.pdf · допълнителни данни: DA-G.pdf · допълнителни данни: DA-1-A.pdf