SPEX Reference manual (PDF) - SRON

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30 Syntax overview written to this file. Examples log save myrun - writes all subsequent commands to a new file named ”myrun.com”. However, in case the file already exists, nothing is written but the user gets a warning instead. log save myrun append - as above, but appends it to an existing file log save myrun overwrite - as above, but now overwrites without warning any already existing file with the same name. log close save - close the file where commands are stored. log exe myrun - executes the commands in file myrun.com. log output myrun - writes all subsequent output to file myrun.out. log close output - closes the file above. 2.17 Menu: Menu settings Overview When command lines are typed, it frequently happens that often the first keywords are identical for several subsequent lines. This may happen for example when a plot is edited. <strong>SPEX</strong> offers a shortcut to this by using the menu command. Syntax The following syntax rules apply: menu none - Quit the current menu text settings (i.e., return to the default spex prompt. menu text #a - For all following commands, the text string #a will be appended automatically before the following commands Examples menu text plot - All following commants will get the ”plot” keyword put in front of them. So if the next commant would be ”plot dev xs” it is sufficient to type ”dev xs” instead. menu none - Return to the normal <strong>SPEX</strong> prompt. menu text "par 1 2" - All following commands wil get the ”par 1 2” keywords put in front of them. The next command could be ”t val 4.”, which will be expanded to the full ”par 1 2 t val 4.” to set the temperature of sector 1, component 2 to 4 keV. Note that here the text has three keywords (par, 1, 2) and hence it has to be put between ””, to indicate that it is a single text string. If there is only one keyword, these ”” are not necessary. 2.18 Model: show the current spectral model Overview This commands prints the current spectral model, for each sector, to the screen. The model is the set of spectral components that is used, including all additive and multiplicative components. For all additive components, it shows in which order the multiplicative components are applied to the additive (emitted) components. See Sect. 2.5 for more details.
2.19 Multiply: scaling of the response matrix 31 Syntax The following syntax rules apply: model show - Prints the model for all sectors to the screen. model show #i - Prints the model for sector #i to the screen. Examples model show 2 - Prints the model for the second sector 2.19 Multiply: scaling of the response matrix Overview This command multiplies (a component of) the response matrix by a constant. Warning: If this command is repeated for the same component then the original response matrix is changed by the multiplication of the constants. For example, after multiplying the response matrix by a factor of 2, the original matrix is recovered by multiplying the intermediate result by 0.5. Warning: The instrument number must be given in this command even if you use only a single instrument. Syntax The following syntax rules apply: multiply #i1 [component #i2] #r - Multiplies the response matrix of component #i2 of instrument #i1 by a constant #r. Examples multiply 1 3.5 - Multiplies the response matrix from instrument 1 by a factor of 3.5. multiply 1 component 2 3.5 - Multiplies the second component of instrument 1 by the constant 3.5. 2.20 Obin: optimal rebinning of the data Overview This command rebins (a part of) the data (thus both the spectrum and the response) to the optimal bin size given the statistics of the source as well as the instrumental resolution. This is recommended to do in all cases, in order to avoid oversampling of the data. The theory and algorithms used for this rebinning are described in detail in Chap. 7. A simple cartoon of this is: binning to 1/3 of the FWHM, but the factor of 1/3 depends weakly upon the local count rate at the given energy and the number of resolution elements. The better the statistics, the smaller the bin size. Syntax The following syntax rules apply: obin #i1: - Simplest command allowed. #i1: is the range in data channels overwhich the binning needs to take place. obin #r1: #i: unit #a - The same command as above, except that now the ranges over which the data is to be binned (#r1:) are specified in units (#a) different from data channels. These units can be
Page 1: SPEX Reference Manual Jelle Kaastra
Page 4 and 5: 4 CONTENTS 2.29 System . . . . . .
Page 6 and 7: 6 CONTENTS 6.6 Rgsvprof . . . . . .
Page 8 and 9: 8 Introduction 1.2.2 Sky sectors Fi
Page 10 and 11: 10 Introduction
Page 12 and 13: 12 Syntax overview Table 2.2: Abund
Page 14 and 15: 14 Syntax overview tcl: the continu
Page 16 and 17: 16 Syntax overview Examples calc -
Page 18 and 19: 18 Syntax overview data delete inst
Page 20 and 21: 20 Syntax overview dem mult #i - Do
Page 22 and 23: 22 Syntax overview distance show -
Page 24 and 25: 24 Syntax overview Examples elim 0.
Page 26 and 27: 26 Syntax overview There is yet ano
Page 28 and 29: 28 Syntax overview ignore 1:8 unit
Page 32 and 33: 32 Syntax overview eV, keV, Å, as
Page 34 and 35: 34 Syntax overview (Z = 7), ... Ni
Page 36 and 37: 36 Syntax overview plot view x1 #r
Page 38 and 39: 38 Syntax overview plot model lw #i
Page 40 and 41: 40 Syntax overview 2.25 Shiftplot:
Page 42 and 43: 42 Syntax overview 2.27 Step: Grid
Page 44 and 45: 44 Syntax overview system exe #a -
Page 46 and 47: 46 Syntax overview Update: several
Page 48 and 49: 48 Syntax overview Also the totals
Page 50 and 51: 50 Spectral Models Table 3.1: Avail
Page 52 and 53: 52 Spectral Models nr name chemical
Page 54 and 55: 54 Spectral Models (cf. Rybicky & L
Page 56 and 57: 56 Spectral Models 3.6.5 Abundances
Page 58 and 59: 58 Spectral Models 3.8 dabs: dust a
Page 60 and 61: 60 Spectral Models 3.11 Dem: Differ
Page 62 and 63: 62 Spectral Models • ... • last
Page 64 and 65: 64 Spectral Models f9 - Transmissio
Page 66 and 67: 66 Spectral Models 3.22 Neij: Non-E
Page 68 and 69: 68 Spectral Models Warning: By defa
Page 70 and 71: 70 Spectral Models seeing equal con
Page 72 and 73: 72 Spectral Models • type=4: b 1
Page 74 and 75: 74 Spectral Models v - Velocity bro
Page 76 and 77: 76 Spectral Models For more informa
Page 78 and 79: 78 More about spectral models Slab
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80 More about spectral models depth
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82 More about spectral models grid
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84 More about spectral models The e
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86 More about plotting Table 5.1: A
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88 More about plotting 5.5 Plot tex
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90 More about plotting Table 5.4: S
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92 More about plotting Table 5.5: x
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94 More about plotting the plot wil
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96 More about plotting
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98 Auxilary programs Property Spect
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100 Auxilary programs Property Resp
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102 Auxilary programs 15. Optional:
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104 Auxilary programs 6.3 RGS fluxc
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106 Auxilary programs This redistri
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108 Auxilary programs 6.6.1 Theory
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110 Response matrices models. Since
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112 Response matrices Table 7.1: We
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114 Response matrices Table 7.2: Sc
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116 Response matrices since the lar
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118 Response matrices Figure 7.1: D
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120 Response matrices Figure 7.3: R
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122 Response matrices 7.4 Model bin
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124 Response matrices In this secti
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126 Response matrices The resulting
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128 Response matrices where w 1 and
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130 Response matrices spectrumextra
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132 Response matrices may be helpfu
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134 Response matrices 1. The OGIP r
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136 Response matrices Table 7.9: Se
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138 Response matrices could be the
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140 Response matrices Table 7.13: R
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142 Response matrices Figure 7.8: B
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144 Response matrices Figure 7.9: B
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146 Installation and testing
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148 Acknowledgements
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150 BIBLIOGRAPHY [1989] Kaastra, J.
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