Search for OH Megamasers at the Redshift Of

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Search for OH Megamasers at the redshift of z  1.7 in GOODS-North Field Pallavi Patil

description

Megamasers at high redshift

Transcript of Search for OH Megamasers at the Redshift Of

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    Search for OH Megamasers at theredshift of z 1.7 in GOODS-North

    Field

    Pallavi Patil

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    Plan of the talk

    What is Maser?

    GOODS-North

    Interferometry and Synthesis Imaging Data Reduction

    Results

    Future Plans References

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    MASER : Overview

    Microwave Amplification by Stimulated Emissionof Radiation

    Masers are narrow and intense emission lines.

    OH, H2O, CH3OH, SiO and NH3molecules exhibitMaser emission in interstellar space.

    Classification (based on the physical origin)

    Galactic masers : Associated with comets, starforming regions and evolved stars

    Extragalactic masers : Associated with Active GalacticNucleus(AGN) and starburst galaxies

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    Maser :

    Mechanism

    SEYFERT GALAXIES: A REVIEW- Stephen J. Curran (2000)

    Pumping

    Spontaneous

    decay

    E2

    E1

    E3

    Maser emission

    http://ned.ipac.caltech.edu/level5/Curran/frames.htmlhttp://ned.ipac.caltech.edu/level5/Curran/frames.html
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    Megamasers

    The line luminosity is billion times more thanGalactic Masers, hence Megamasers.

    Not observed in our Galaxy.

    OH Megamaser (OHM) is found in thestarburst galaxies (ULIRGs) and H2OMegamasers are found in the molecular

    clouds surrounding AGNs. OHMs are useful in studying the early

    universe.

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    The GOODS-North Field

    Great Observatories Origins Deep Survey is a

    multi-wavelength campaign which unites

    extremely deep observations in optical, IR, UV,

    X-ray and radio wavelengths.

    Centered around two regions in Northern and

    southern hemispheres.

    Scientific aim: Study formation and evolution

    of galaxies and star formation history.

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    The GOODS-North Field

    http://hermes.sussex.ac.uk/content/hermes-survey

    Location:

    RA - 12h 36m 49.4s

    Dec - 621258

    Very rich and deepobservations are

    available at radio, far IR,

    mid IR, submm, optical ,

    UV and X-ray

    wavelengths

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    GOODS-North: Observational details

    Frequency of observation: 610MHz

    Bandwidth: 32 MHz

    Number of channels :256 Channel bandwidth: 125 kHz

    Angular Resolution : 6 arcsec

    Area covered : 1.93 sq.deg Total integration time : 33 hours

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    Interferometry and Synthesis Imaging

    A single dish antenna: Simplest Radio Telescope. Angular Resolution, = 1.22 Better resolution needs larger aperture.

    Signals from small antennas are combined to give an

    equivalent large aperture Principle of interferometry

    D

    Geometric delay,

    g=D./c

    S

    S

    Output of two element interferometer observing a

    source in the direction S and separated by distance D

    Output 1 =

    V1cos(2(t- g)) Output 2 = V2cos 2 t

    - Voltage multiplier

    - Time Average

    Correlator

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    The correlator output is proportional to

    V1V2cos(2Dsin/c) = V1V2cos(2Dsin/) The correlator output (visibility) is a function

    position of the source()the brightness(I)

    antenna separation (baseline-D). The 90 phase shift in one antenna gives sine wave

    output : V1V2sin(2Dsin/)

    The complex visibility function is defined byV = R(cos corr)-R(sin corr)

    R, Response of an interferometer

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    Synthesis Imaging

    Relationship between Visibility and Sky Intensity, vanCittert-Zernike Theorem

    where (,,) and (,,) are coordinates used to expressthe antenna positions and sky intensity distribution

    One baseline One Fourier component Aperture synthesis utilizes Earths rotation to increase

    number of baselines.

    GMRT(Giant Meterwave Radio Telescope), Pune has 30antennas arranged in Y shape to give maximum UVcoverage.

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    Giant Meterwave Radio Telescope

    (GMRT)

    gmrt.ncra.tifr.res.in

    30 antennas, 45-m diameter

    Longest baseline 25 km Frequency coverage: 150 MHz to 1450 MHz

    http://gmrt.ncra.tifr.res.in/gmrt_hpage/Users/doc/WEBLF/LFRA/node164.htmlhttp://gmrt.ncra.tifr.res.in/gmrt_hpage/Users/doc/WEBLF/LFRA/node164.html
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    Data Reduction and Imaging

    RAW DATA

    Decimation

    Scheme

    Transfer flags,

    selfcal solution toraw data

    CorrelatorOutput

    RFI MitigationBandpass,Flux, PhaseCalibration

    Selfcal

    Residual

    Analysis

    * AIPS package and in-house

    software tools have been

    used for the data analysis

    Imaging

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    Calibration

    Observed visibility is dependant on the gain of antenna

    and is affected by radio frequency interference (RFI),

    ionosphere disturbance and correlator offsets.

    Visibilities needs to be corrected before an image ismade. Corrupted data can be removed or modified.

    Role of calibration is to recover true visibility from

    observed visibility

    Antenna based gain

    Baseline

    based gain

    Baseline

    based offset

    Randomnoise

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    Calibration and RFI removal

    RFI mitigation : Removal of systematic ripplesusing Rfix algorithm

    Initial Calibration:

    Bandpass : Compensation of gain variation acrossbandwidth of observation

    Flux : Estimation of true amplitude of the celestialsource. Flux calibrator used 3C286

    Phase : Compensating for temporal variations due toionosphere. Phase calibrator used 1313+675

    Data Reduction and Imaging

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    Data reduction and imaging

    The decimation scheme takes a median of the visibilitywithin a grid 5 frequency channels and 7 timeintegrations.

    Reduction in file size by 35 and no loss of sensitivity.

    Imaging : Inverse Fourier transformation of visibilityusing CLEAN algorithm.

    Self-calibration : Estimation of antenna gains using themodel visibility data calculated from the original image

    Residual Analysis : Systematic errors are moreprominent

    scheme

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    Residual Analysis

    Residual visibilities in the UV plane

    After flagging points above certain

    amplitude

    Flagging residualdeviant points in theUV plane

    Expected a noise likedistribution foramplitudes in the UVplane.

    Bright points in thefirst imagecorrespond tocorrupted data.

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    Baseline based correction

    Baseline offsets : The long term time average ofreal and imaginary visibilities should be zero.

    Any correlator offsets can increase noise in theimage.

    Any gain corrections specific to a baselinescannot be corrected by self-calibration

    The AIPS task BLCAL was used to correct for anymultiplicative as well as additive baseline basederrors.

    A software tool to identify baseline with largeoffsets

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    Baseline based correction: Correlator

    offsets

    Number of baseline vs time average of a baseline per channel

    A few baselines have significant offsets.

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    Results

    Each day was combined to obtain final image.

    Consistent results over the five days.

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    Results : Flux Scaling Errors

    The observed flux ofstrongest sources in the

    field is 1.7 times less than

    expected flux.

    No errors in our dataanalysis routine.

    Elevation dependence

    ruled out.

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    Future Plans

    Sufficient sensitivity achieved for detection ofOH megamaser at z 1.7

    Higher merging activity, quadratic relation

    between far-IR and maser line luminosity Higher probability of detection.

    Still some of systematic errors needs to be

    corrected. Plan for short observation request to GMRT

    The search for OH megamaser.

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    Images: Transfer of flags

    GDNKZ1 GDNLZ1

    Noise at the center 187 Jy 125 Jy

    Imaging details : averaged over 125 channels

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    Images: Self calibration and UV-planeflagging

    GDNKZ1 GDNKZ8

    Noise at the center 187 Jy 38 Jy

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    Baseline based correction

    GDNKZ1 GDNKZ8

    Noise at the center 187 Jy 38 Jy

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