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Overview on data calibration, reduction and analysis Spectral Lines Andrea Tarchi Photo by G. Alvito

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Page 1: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

Overview on data calibration, reduction and analysis

Spectral Lines

Andrea TarchiPhoto by G. Alvito

Page 2: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

Outline

Page 3: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

Outline• Calibration

Everything else matters To move or not to move? Through the mist Good ol’ Jansky!

Page 4: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

Outline• Calibration

Everything else matters To move or not to move? Through the mist Good ol’ Jansky!

• Reduction Breaking the waves Summing up Would you buy this?

Page 5: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

Outline• Calibration

Everything else matters To move or not to move? Through the mist Good ol’ Jansky!

• Reduction Breaking the waves Summing up Would you buy this?

• Analysis Bright enough One moment in time Spectral presences 3-D

Page 6: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationEverything Nothing else matters

Page 7: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationEverything else matters

We observe a point source with our (radio)telescope

The source has a certain power

We replace the telescope feed with matched load (resistor)

We adjust the load temperature until the power received = source power

The temperature reached is = to the Antenna Temperature

Page 8: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

What do we measure?

• ON the source, we have:

Tmeas,ON(α,δ,Az,ZA)= Tsrc(α,δ,Az,ZA) + Telse

• OFF the source, we have:

Tmeas,OFF(α,δ,Az,ZA)= Telse

Where Telse=Tsys=TRX+Tgr(Az,ZA)+Tcel(α,δ,t) +TCMB+Tatm(ZA)

CalibrationEverything else matters

Page 9: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

Tsrc + Telse Telse

OFFON

CalibrationEverything else matters

Page 10: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

Tsrc + Telse Telse

OFFON

CalibrationEverything else matters

Page 11: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

(Tsrc + Telse) - (Telse)

=

ON - OFF

CalibrationEverything else matters

(TON - TOFF)

Page 12: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

[(Tsrc + Telse) - (Telse)]/ Telse

=

(ON – OFF)/OFF

CalibrationEverything else matters

This is what is typically provided during a line observation

(TON - TOFF) / TOFF

A spectrum in Tsys units

Conversion to K (or Jy) required

Telse=off = Tsys

Estimate required

Page 13: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

A spectrum in Tsys units (counts, so far)

Conversion from counts to K (or Jy)

required

CalibrationEverything else matters

• Theory

• Noise Diodes

• Hot & Cold Loads

• Astronomical Measurements

See also next section

Page 14: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

Noise diodes (frequency dependence; precision in diodes meaurements affects calibration accuracy)

Astronomical sources (quite accurate; knowledge in the flux cal. Intensity influences calibration accuracy)

Tsource aka TA of the source in K can be obtained

CalibrationEverything else matters

Page 15: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationTo move or not to move?

Page 16: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationTo move …?

Position Switching

ON

Page 17: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationTo move …?

Position Switching

ON OFF

Page 18: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationTo move …?

Position Switching

Pros• good baselines(typically)• Iittle a priori infos required

Cons• requires to move the telescope• source cannot be too extended

Page 19: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

Calibration… or not to move?

Frequency Switching

ON OFF

ON-OFF

Page 20: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

Calibration… or not to move?

Frequency Switching

Page 21: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

Calibration… or not to move?

Frequency Switching

Pros• does not require to move the telescope• rapid ON-OFF switching (good efficiency)

Page 22: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

Calibration… or not to move?

Frequency Switching

Pros• does not require to move the telescope• rapid ON-OFF switching (good efficiency)

Cons• frequency of the line has to be well known• requires time- and frequency- stable baselines

Page 23: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

Calibration…or not to move?

Beam Switching

Pros• does not require to move the telescope

Cons• requires hardware• source cannot be too extended

Page 24: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

Calibration…or not to move?

Beam Switching

Pros• does not require to move the telescope

Cons• requires hardware• source cannot be too extended

Page 25: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

Calibration… or not to move?

Beam Switching with 2 beams (NODDING)Pros• does not require to move the telescope• ON and OFF at the same time

Cons• requires hardware• source cannot be too extended

Page 26: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationTo move or not to move?

Further methods

• Baseline fitting (simple but requires good baselines)

• Baseline fitting with average fit (for extended sources)

• Double position switching (to remove residual standing waves due to strong continuum)

Page 27: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationThrough the mist

Page 28: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationThrough the mist

When νobs ≥ 15 GHz, it is necessary to correct for atmospheric absorption/attenuation!

Path length through the atmosphere for the radiation from a celestial source

Page 29: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationThrough the mist

Page 30: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationThrough the mist

Tsys and AM can be determined

Tatm can be assumed ≈ to the air temperature (on ground level) or calculated through approximated relation

A number of measurements Least-square fit

τ (& T0) can be estimated

Page 31: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationThrough the mist

Average opacities measured at Effelsberg.

Zenith opacity applied as the default in the GBTIDL procedures for quick-look calibration of GBT data.

Warning: τ depends on the weather conditions; especially at high frequencies!

Page 32: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationThrough the mist

Sky-dip procedures and Water-Vapour Radiometers installed at the telescope sites and/or on the telescopes allow to derive (quasi) real-time τ estimates.

Left: Opacity at 22 GHz measured with the microwave radiometer (in the circle of the picture above) at the SRT site (Courtesy: F. Nasir, F. Buffa, G. Deiana, and collaborators)

Page 33: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationGood ol’ Jansky

Page 34: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationGood ol’ Jansky

Page 35: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationGood ol’ Jansky

When moving at higher or lower Elv, the dish loses sensitivity due to small-scale deformations, viz.the telescope Gain changes.

Page 36: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationGood ol’ Jansky

When moving at higher or lower Elv, the dish loses sensitivity due to small-scale deformations, viz.the telescope Gain changes.

Page 37: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationGood ol’ Jansky

To convert from Antenna Temperature (K) to Flux Density (Jy)

Γ is typically determined though observations of know calibrators (and tabulated)

A correction factor, Cs, has to be applied if the source is not point-like

Page 38: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationGood ol’ Jansky

In summary, a good calibration procedure could be described by

Page 39: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationGood ol’ Jansky

In summary, a good calibration procedure could be described by

Page 40: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationGood ol’ Jansky

In summary, a good calibration procedure could be described by

T A[K] = counts·T cal[K]

T cal depends on freq

Page 41: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationGood ol’ Jansky

In summary, a good calibration procedure could be described by

T A[K] = counts·T cal[K]

T cal depends on freq

Page 42: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationGood ol’ Jansky

In summary, a good calibration procedure could be described by

T A[K] = counts·T cal[K]

T cal depends on freq

Page 43: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationGood ol’ Jansky

In summary, a good calibration procedure could be described by

T A[K] = counts·T cal[K]

T cal depends on freq

Atm. contributionRequires opt. depthand source Elv

Page 44: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationGood ol’ Jansky

In summary, a good calibration procedure could be described by

T A[K] = counts·T cal[K]

T cal depends on freq

Atm. contributionRequires opt. depthand source Elv

Page 45: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationGood ol’ Jansky

In summary, a good calibration procedure could be described by

T A[K] = counts·T cal[K]

T cal depends on freq

Atm. contributionRequires opt. depthand source Elv

Page 46: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationGood ol’ Jansky

In summary, a good calibration procedure could be described by

T A[K] = counts·T cal[K]

T cal depends on freq

Atm. contributionRequires opt. depthand source Elv

Telescope GainRequires gain curve and source Elv

Page 47: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationGood ol’ Jansky

In summary, a good calibration procedure could be described by

T A[K] = counts·T cal[K]

T cal depends on freq

Atm. contributionRequires opt. depthand source Elv

Telescope GainRequires gain curve and source Elv

Page 48: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationGood ol’ Jansky

In summary, a good calibration procedure could be described by

T A[K] = counts·T cal[K]

T cal depends on freq

Atm. contributionRequires opt. depthand source Elv

Telescope GainRequires gain curve and source Elv

Page 49: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationGood ol’ Jansky

In summary, a good calibration procedure could be described by

T A[K] = counts·T cal[K]

T cal depends on freq

Atm. contributionRequires opt. depthand source Elv

Telescope GainRequires gain curve and source Elv

Flux Gain (Sensitivity)Typically tabulated

Page 50: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationGood ol’ Jansky

In summary, a good calibration procedure could be described by

T A[K] = counts·T cal[K]

T cal depends on freq

Atm. contributionRequires opt. depthand source Elv

Telescope GainRequires gain curve and source Elv

Flux Gain (Sensitivity)Typically tabulated

Page 51: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

CalibrationGood ol’ Jansky

In summary, a good calibration procedure could be described by

For tricks and shortcuts…wait the hands-on actvities

T A[K] = counts·T cal[K]

T cal depends on freq

Atm. contributionRequires opt. depthand source Elv

Telescope GainRequires gain curve and source Elv

Flux Gain (Sensitivity)Typically tabulated

Page 52: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionBreaking the waves

Page 53: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionBreaking the waves

Page 54: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionBreaking the waves

Spectrum: Well behavingSystem and source: CollaborativeObserver: Lucky

Page 55: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionBreaking the waves

Spectrum: Well behavingSystem and source: CollaborativeObserver: Lucky

Page 56: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionBreaking the waves

Spectrum: Well behavingSystem and source: CollaborativeObserver: Lucky

Baseline fit (and subtract) by a polynomial of order 1

Page 57: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionBreaking the waves

Spectrum: Well behavingSystem and source: CollaborativeObserver: Lucky

Baseline fit (and subtract) by a polynomial of order 1

Page 58: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionBreaking the waves

Often baselines are ‘corrupted’ by ripples (instrumental and structural origin) and standing waves (mainly originating from the reflective path between the receiver feed and the reflector).

Baseline fit and subtraction require a polynomial of order > 1

…but not higher than 5-7, otherwise line features can be destroyed or fake spectral lines created!

Page 59: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionBreaking the waves

Page 60: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionBreaking the waves

Spectrum: Reasonably well behavingSystem and source: Quite standardObserver: Still Lucky

Page 61: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionBreaking the waves

Spectrum: Reasonably well behavingSystem and source: Quite standardObserver: Still Lucky

Page 62: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionBreaking the waves

Page 63: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionBreaking the waves

Spectrum: Badly behavedSystem and source: OddObserver: Probably Tarchi

Page 64: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionBreaking the waves

Spectrum: Badly behavedSystem and source: OddObserver: Probably Tarchi

Remove scan!

Page 65: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionBreaking the waves

Spectrum: Badly behavedSystem and source: OddObserver: Probably Tarchi

There are a priori ways to reduce the standing waves:• Focus modulation• Double position-switching observing mode

Remove scan!

Page 66: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionBreaking the waves

Spectrum: Badly behavedSystem and source: OddObserver: Probably Tarchi

There are a priori ways to reduce the standing waves:• Focus modulation• Double position-switching observing mode

Remove scan!

• Shaping design (SRT)

Page 67: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionBreaking the waves

Spectrum: Badly behavedSystem and source: OddObserver: Probably Tarchi

There are a priori ways to reduce the standing waves:• Focus modulation• Double position-switching observing mode

Remove scan!

• Shaping design (SRT)

Page 68: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionBreaking the waves

Spectrum: Badly behavedSystem and source: OddObserver: Probably Tarchi

There are a priori ways to reduce the standing waves:• Focus modulation• Double position-switching observing mode

Remove scan!

• Shaping design (SRT)• Off-axis feed arm (GBT)

Page 69: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionBreaking the waves

Spectrum: Badly behavedSystem and source: OddObserver: Probably Tarchi

There are a priori ways to reduce the standing waves:• Focus modulation• Double position-switching observing mode

Remove scan!

• Shaping design (SRT)• Off-axis feed arm (GBT)

Page 70: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionBreaking the waves

Spikes and interferences

Our Interference-busters mobile unit

MobLab: a fully equipped mobile laboratory to seek radio interferences (Courtesy: F. Gaudiomonte, P. Bolli, F. Messina, and collaborators)

Page 71: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionSumming up

Page 72: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionSumming up

…..…..…..

+ many other more scans

Longer integration time gives a lower noise.

Observations are performed by obtaining several scans (on-off)In individual scans, there is no evident emssion…

…should we give up?

Individual scans

Page 73: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionSumming up

…..…..…..

+ many other more scans

…Not yet!

Let’s try averaging all the scans

The signal to noise ratio (SNR) would increase by √N (N=number of scans)

Individual scans

Page 74: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionSumming up

…..…..…..

+ many other more scans

…Not yet!

Let’s try averaging all the scans

The signal to noise ratio (SNR) would increase by √N (N=number of scans)

Individual scans

Sum of the scans

Page 75: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionSumming up

…..…..…..

+ many other more scans

Individual scans

Page 76: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionSumming up

…..…..…..

+ many other more scans

Individual scans

Smoothed (x4) sum of the scans

Page 77: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionWould you buy this?

Page 78: Overview on data reduction, calibration and analysis - INAFsummerschool2011.oa-cagliari.inaf.it/.../lectures/110915_02_Tarchi.pdf · Overview on data calibration, reduction and analysis

ReductionWould you buy this?

Gaussian or ‘normal’ distribution

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ReductionWould you buy this?

Gaussian or ‘normal’ distribution

68% values drawn from a normal distribution are within one standard deviation (1 sigma) away from the mean.

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ReductionWould you buy this?

Gaussian or ‘normal’ distribution

99.7% values drawn from a normal distribution are within three standard deviation (3 sigma) away from the mean.

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ReductionWould you buy this?

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ReductionWould you buy this?

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ReductionWould you buy this?

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ReductionWould you buy this?

Chances to publish your detection:

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ReductionWould you buy this?

Chances to publish your detection:

• SNR > 5 σ (very likely)

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ReductionWould you buy this?

Chances to publish your detection:

• SNR > 5 σ (very likely)

• SNR between 3 and 5 σ (likely)

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ReductionWould you buy this?

Chances to publish your detection:

• SNR > 5 σ (very likely)

• SNR between 3 and 5 σ (likely)

• SNR ~ 3 σ (more difficult; the author should be very convincing and/or having an independent measurement for confirmation)

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ReductionWould you buy this?

Chances to publish your detection:

• SNR > 5 σ (very likely)

• SNR between 3 and 5 σ (likely)

• SNR ~ 3 σ (more difficult; the author should be very convincing and/or having an independent measurement for confirmation)

• SNR < 3 σ (almost impossible)

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ReductionWould you buy this?

Chances to publish your detection:

• SNR > 5 σ (very likely)

• SNR between 3 and 5 σ (likely)

• SNR ~ 3 σ (more difficult; the author should be very convincing and/or having an independent measurement for confirmation)

• SNR < 3 σ (almost impossible)

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AnalysisOne moment in time

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AnalysisOne moment in time

Moments are equally defined for T (in K)

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AnalysisOne moment in time

Total Intensity

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AnalysisOne moment in time

Mean Velocity

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AnalysisOne moment in time

Dispersion

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AnalysisBright enough

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AnalysisBright enough

Speak

Δν

vpeak

Gaussian FitLine peak fluxLine FWHM (Δν= √8ln2·σ)Line peak velocity

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AnalysisBright enough

If the distance of the emitting source is known the isotropic luminosity of the water maser can be derived:

• kilomaser or megamaser?

• star formation or AGN nature?

In two radio galaxies, water megamasers with Liso ~ 10000 Lsun has been found!!!

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AnalysisBright enough

Column density can be derived from the line total intensity

If the dimension of the source (or its distance from us) is known, a gas mass estimate can be obtained

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AnalysisBright enough

The velocity of the line provides information on the gas dynamics:

Frequency shift according to the non-relativistic Doppler equation in the optical and radio convention

νobs > νrest: the emitting gas is approching us toward the l.o.s.νobs < νrest: the emitting gas is receding from us toward the l.o.s.

For extragalactic objects, recessional velocity of the galaxy does matter

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Recessional velocity of the galaxy

Red-shiftedBlue-shifted NGC

4258

AnalysisBright enough

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AnalysisSpectral presences 3D

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AnalysisSpectral presences 3-D

Contour map made bya regular grid of individual pointings

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AnalysisSpectral presences 3-D

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AnalysisSpectral presences 3-D

3-D structure

…but…

Not truly source 3-D

Data cube

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AnalysisSpectral presences 3-D

Leiden-Argentine-Bonn (LAB) HI survey. Sweeping through the data cube;Galactic center projection. Kalberla et al.; Hartmann & Burton; Arnal et al.

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AnalysisSpectral presences 3-D

Leiden-Argentine-Bonn (LAB) HI survey. Sweeping through the data cube;Galactic center projection. Kalberla et al.; Hartmann & Burton; Arnal et al.

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Useful textbooks:• J.D. Kraus”Radio Astronomy”, 1986, Cygnus-Quasar Books • K. Rohlfs & T.L. Wilson “Tools of Radio Astronomy”, 1996, Springer-Verlag

This lecture has also taken inspiration from past lectures and talks by U.Back, D. Muders, K. O’Neil, and B. Winkel.

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Useful textbooks:• J.D. Kraus”Radio Astronomy”, 1986, Cygnus-Quasar Books • K. Rohlfs & T.L. Wilson “Tools of Radio Astronomy”, 1996, Springer-Verlag

This lecture has also taken inspiration from past lectures and talks by U.Back, D. Muders, K. O’Neil, and B. Winkel.

Thank you…and…Happy