Imaging the Earth using Green ’ s theorem 1

نویسنده

  • Roel Snieder
چکیده

The Earth is a big place: its radius is about 6400 km. In comparison, the deepest boreholes drilled are about 10 km deep. We thus have little opportunity to take direct measurements or samples inside the Earth: it is mostly inaccessible. And even for the upper 10 km that we can sample, the cost of drilling deep boreholes is very high. This means that inferences about the Earth’s interior are largely based on physical and chemical measurements taken at the Earth’s surface, or even from space. Investigating the inside of the Earth thus resembles that classical black-box problem: determine the contents of a closed box when you can do anything except open the box. If one knew physical fields, such as the gravitational field or the elastic wave field, inside the Earth, one could infer the local properties of the Earth by inserting the measured field into the equation that governs that field, and extract the physical parameters, such as the mass density, from the field equation. However, the fields are measured at the Earth’s surface or sometimes even above that surface. One thus needs a recipe for propagating the measured field from its surface of observation into the Earth’s interior. This is a problem where mathematics comes to the rescue in the form of Green’s theorem. It relates measurements taken at a surface bounding a volume to the fields inside that volume. This principle is called downward continuation. In the following we apply Green’s theorem to a large class of physical systems and show that this theorem only relates measurements at a surface to measurements in the interior when the equations are the same regardless of whether one

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Comparative Studies of High Contrast Fluorescence Imaging Efficiency of Silica-coated CdSe Quantum Dots with Green and Red Emission

Herein we report the possibility of using green and red emitting silica-coated cadmium selenide (CdSe) quantum dots (QDs) for remarkable stem and cancer cellular imaging, efficient cellular uptake and fluorescence imaging of semi and ultra-thin sections of tumor for in vivo tumor targeted imaging applications. The comparative studies of high contrast cellular imaging behaviours of the silica-co...

متن کامل

Provide a Deep Convolutional Neural Network Optimized with Morphological Filters to Map Trees in Urban Environments Using Aerial Imagery

Today, we cannot ignore the role of trees in the quality of human life, so that the earth is inconceivable for humans without the presence of trees. In addition to their natural role, urban trees are also very important in terms of visual beauty. Aerial imagery using unmanned platforms with very high spatial resolution is available today. Convolutional neural networks based deep learning method...

متن کامل

The effect of earth magnetic field on the function of nuclear medicine imaging systems (SPECT)

Background: The nuclear medicine systems are very sensitive to the variation of the magnetic field. Photomultiplier tubes amplify low energy light signal and change it into electrical current. Low magnetic field can produce some variations in uniformity and special resolution of SPECT systems. In this study, we tried to evaluate the effects of magnetic field on the function of nuclear medic...

متن کامل

The Study of Variation of Photon Intensity Inside Biological Phantom by Green Theorem

The Image reconstruction is an important problem in optical tomography. The process of the image processing requires the study of photon migration in biological tissue. There are several approaches to study and simulate propagation of photons in biological tissues. These approaches are categorized into stochastic and analytical groups. The Monte Carlo method as a stochastic method is widely use...

متن کامل

Biosynthesis of Srco3 nanostructures with honey as a green capping agent and reductant: photodynamic therapy

Objective (s): SrCO3 nanoparticles could be used as new biomedical sources in magnetic resonance imaging as a promising noninvasive imaging modality for the preoperative staging of breast cancer and monitoring of tumor response to therapy. The present study aimed to synthesize SrCO3 nanostructures using microwave irradiation in the presence of honey as a green capping agent and reductant. Mater...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015