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Direct estimate of cirrus noise in Herschel Hi-GAL images

机译:在Herschel Hi-GAL图像中直接估算卷云噪声

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In Herschel images of the Galactic plane and manystar forming regions, amajor factor limiting our ability toextract faint compact sources is cirrus confusion noise, operationallydefined as the ``statistical error to be expected in photometricmeasurements dueto confusion in a background of fluctuating surface brightness''. Thehistogram of the flux densities of extracted sources shows adistinctive faint-end cutoff below which the catalog suffers fromincompleteness and the flux densities become unreliable. This empiricalcutoff should be closely related to the estimated cirrus noise and weshow that this is the case. We compute the cirrus noise directly, bothon Herschel images from which the bright sourceshave been removed and on simulated images of cirrus with statisticallysimilar fluctuations. We connect these direct estimates with those frompower spectrum analysis, which has been used extensively to predict thecirrus noise and provides insight into how it depends on variousstatistical properties and photometric operational parameters. Wereport multi-wavelength power spectra of diffuse Galactic dust emissionfrom Hi-GAL observations at70 to500within Galactic plane fields atand .We find that the exponent of the power spectrum is about-3.At,the amplitude of the power spectrum increases roughly as the square ofthe median brightness of the map and so the expected cirrus noisescales linearly with the median brightness. Fora givenregion, the wavelength dependence of the amplitude can be described bythe square of the spectral energy distribution (SED) of the dustemission. Generally, theconfusion noise will be a worseproblem at longer wavelengths, because of the combination of lowerangular resolution and the rising power spectrum of cirrus toward lowerspatial frequencies, but the photometric signal to noise will alsodepend on the relative SED of the source compared tothecirrus.Key words: ISM: structure - ISM: general -stars: formation - stars: protostars - submillimeter: ISM - infrared:ISM
机译:在银河平面和许多恒星形成区域的赫歇尔图像中,限制我们提取微弱致密源的能力的主要因素是卷云混淆噪声,可操作地定义为``由于表面亮度波动背景下的混淆,在光度测量中预期出现的统计误差''。提取源的通量密度的直方图显示了一个模糊的末尾截止值,低于该值时目录不完整,通量密度变得不可靠。该经验截止值应与估计的卷云噪声密切相关,我们证明情况确实如此。我们直接在去除了明亮光源的Herschel图像上以及在统计上具有类似波动的卷云的模拟图像上直接计算卷云噪声。我们将这些直接估计值与功率谱分析中的估计值联系起来,功率谱分析已被广泛用于预测卷云噪声,并提供了对它如何依赖于各种统计特性和光度学运行参数的洞察力。从Hi-GAL观测到的在70和500范围内和在银河平面场内的弥散银河粉尘排放的多波长功率谱。我们发现,功率谱的指数约为-3。地图的中值亮度,因此预期的卷云噪声等级与中值亮度成线性关系。对于给定的区域,振幅的波长依赖性可以通过粉尘发射的光谱能量分布(SED)的平方来描述。通常,由于较低的角度分辨率和卷积向低空间频率的上升功率谱的结合,在较长波长下,混淆噪声将是一个更糟糕的问题,但光度信噪比还取决于源与卷积的相对SED。 :ISM:结构-ISM:一般-恒星:形成-恒星:原恒星-亚毫米:ISM-红外:ISM

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