This document discusses various methods for contrast enhancement of images, including:
- Local color correction, which enhances contrast locally rather than globally.
- Simplest color balance, which clips a percentage of dark and light pixels before normalization.
- Screened Poisson equation, which acts as a high-pass filter using a single contrast parameter. Implementations of these methods in various color spaces like RGB, HSI, HSV, and HSL are provided. Local color correction is shown to perform better than global gamma correction by handling both dark and bright areas simultaneously.
Digital Signal Processing Tutorial: Chapt 4 design of digital filters (FIR) Chandrashekhar Padole
This document discusses digital filters and the design of finite impulse response (FIR) filters. It covers topics such as the design of FIR filters using windows, properties of FIR filters including their linear phase characteristics, and comparisons between FIR and infinite impulse response (IIR) filters. MATLAB code is provided to demonstrate the effects of linear phase characteristics on filtered signals. Linear phase filters are shown to preserve signal shape while non-linear phase filters can distort signals.
This document discusses various techniques for image enhancement. It begins with an introduction to image enhancement and its objectives. Then it describes several categories of enhancement techniques including point operations, histogram processing, and spatial and frequency domain filtering. Point operations include intensity transformations like contrast stretching and histogram equalization. Histogram processing techniques manipulate the image histogram for enhancement. Spatial filtering uses convolution with filters like smoothing and sharpening filters. The document provides detailed explanations and examples of these various image enhancement methods.
Generation of SSB and DSB_SC ModulationJoy Debnath
The document discusses two methods of single sideband (SSB) modulation and balanced modulator modulation. It explains that SSB modulation eliminates one sideband from an amplitude modulated wave. It then describes the balanced modulator method, which uses two balanced modulators and a 90 degree phase shift to cancel out one sideband. The document also provides a brief overview of double sideband suppressed carrier (DSB-SC) modulation and notes that it uses two methods: multiplier modulation and balanced modulator.
This document discusses image enhancement techniques in the spatial domain. It describes two categories of spatial domain operations: point processing and neighborhood processing. Point processing involves direct manipulation of pixel values through techniques like contrast stretching and thresholding. Neighborhood processing considers pixels in a local region and applies techniques like averaging filters. The document outlines several gray level transformations for enhancement, including logarithmic, power-law, piecewise linear, and bit-plane slicing transformations. It also discusses arithmetic and logic operations on images.
This document discusses data compression algorithms including lossless and lossy methods. It defines lossless compression as allowing perfect reconstruction of the original data and lossy compression as permitting only approximate reconstruction. Specific lossless methods covered are run-length encoding, Huffman coding, and Lempel-Ziv encoding. Lossy methods discussed are JPEG compression for images, discrete cosine transform, and MPEG video compression. The document concludes that the presented approach of using the Hartley transform for image compression with separate magnitude and phase processing achieved good performance.
Spatial filtering involves applying filters or kernels to images to enhance or modify pixel values based on neighboring pixel values. Linear spatial filtering involves taking a weighted sum of pixel values within the filter window. Common filters include averaging filters for noise reduction, median filters to reduce impulse noise while preserving edges, and sharpening filters like Laplacian filters and unsharp masking to enhance details.
This document discusses various methods for contrast enhancement of images, including:
- Local color correction, which enhances contrast locally rather than globally.
- Simplest color balance, which clips a percentage of dark and light pixels before normalization.
- Screened Poisson equation, which acts as a high-pass filter using a single contrast parameter. Implementations of these methods in various color spaces like RGB, HSI, HSV, and HSL are provided. Local color correction is shown to perform better than global gamma correction by handling both dark and bright areas simultaneously.
Digital Signal Processing Tutorial: Chapt 4 design of digital filters (FIR) Chandrashekhar Padole
This document discusses digital filters and the design of finite impulse response (FIR) filters. It covers topics such as the design of FIR filters using windows, properties of FIR filters including their linear phase characteristics, and comparisons between FIR and infinite impulse response (IIR) filters. MATLAB code is provided to demonstrate the effects of linear phase characteristics on filtered signals. Linear phase filters are shown to preserve signal shape while non-linear phase filters can distort signals.
This document discusses various techniques for image enhancement. It begins with an introduction to image enhancement and its objectives. Then it describes several categories of enhancement techniques including point operations, histogram processing, and spatial and frequency domain filtering. Point operations include intensity transformations like contrast stretching and histogram equalization. Histogram processing techniques manipulate the image histogram for enhancement. Spatial filtering uses convolution with filters like smoothing and sharpening filters. The document provides detailed explanations and examples of these various image enhancement methods.
Generation of SSB and DSB_SC ModulationJoy Debnath
The document discusses two methods of single sideband (SSB) modulation and balanced modulator modulation. It explains that SSB modulation eliminates one sideband from an amplitude modulated wave. It then describes the balanced modulator method, which uses two balanced modulators and a 90 degree phase shift to cancel out one sideband. The document also provides a brief overview of double sideband suppressed carrier (DSB-SC) modulation and notes that it uses two methods: multiplier modulation and balanced modulator.
This document discusses image enhancement techniques in the spatial domain. It describes two categories of spatial domain operations: point processing and neighborhood processing. Point processing involves direct manipulation of pixel values through techniques like contrast stretching and thresholding. Neighborhood processing considers pixels in a local region and applies techniques like averaging filters. The document outlines several gray level transformations for enhancement, including logarithmic, power-law, piecewise linear, and bit-plane slicing transformations. It also discusses arithmetic and logic operations on images.
This document discusses data compression algorithms including lossless and lossy methods. It defines lossless compression as allowing perfect reconstruction of the original data and lossy compression as permitting only approximate reconstruction. Specific lossless methods covered are run-length encoding, Huffman coding, and Lempel-Ziv encoding. Lossy methods discussed are JPEG compression for images, discrete cosine transform, and MPEG video compression. The document concludes that the presented approach of using the Hartley transform for image compression with separate magnitude and phase processing achieved good performance.
Spatial filtering involves applying filters or kernels to images to enhance or modify pixel values based on neighboring pixel values. Linear spatial filtering involves taking a weighted sum of pixel values within the filter window. Common filters include averaging filters for noise reduction, median filters to reduce impulse noise while preserving edges, and sharpening filters like Laplacian filters and unsharp masking to enhance details.
The document discusses the Global Positioning System (GPS). GPS is a satellite-based navigation system consisting of three segments - space, control, and user. The space segment includes 24 satellites that transmit radio signals used by GPS receivers to determine location, velocity, and time. The control segment monitors the satellites and updates their clocks. The user segment includes GPS receivers that calculate position by precisely timing signals from at least three satellites. Common sources of error and differential GPS for improving accuracy are also covered, as well as many applications of GPS technology.
Orbits and space flight, types of orbitsShiva Uppu
This document discusses orbital mechanics including different types of orbits around Earth and other planets. It begins by defining orbital elements like eccentricity, semi-major axis, inclination, and orbital period. It then describes different types of orbits including low Earth orbit, geosynchronous orbit, polar orbit, and Hohmann transfer orbits. Basic orbital equations are provided relating centripetal force, gravitational force, orbital velocity, and orbital radius. Numerical examples are worked through to calculate orbital velocity, orbital radius, and orbital period for satellites orbiting Earth.
BASICS OF DIGITAL IMAGE PROCESSING,MARIA PETROUanjunarayanan
The document discusses digital image processing fundamentals. It defines key concepts such as digital images, pixels, image resolution, and quality factors like blurriness and contrast. Image processing techniques are described, including image transforms using matrices. Specific transforms covered are the Haar, Walsh, Hadamard, and discrete Fourier transforms. Singular value decomposition is also introduced as a way to decompose an image into orthogonal basis images.
MSAS is Japan's satellite-based augmentation system that improves the reliability and accuracy of GPS signals. It uses satellites and ground stations to correct errors in GPS positioning. MSAS provides horizontal guidance for aircraft from en route through non-precision approaches. It has met or exceeded requirements for accuracy, integrity, availability, and continuity since becoming operational in 2007. Future plans include supporting more precise approaches and transitioning to dual-frequency signals.
This document discusses morphological image processing techniques. It begins by explaining that morphology uses mathematical morphology operations to extract image components and describe shapes. It then outlines common morphological algorithms like dilation, erosion, opening, closing, and hit-or-miss transformations. Dilation enlarges object boundaries while erosion shrinks them. Opening can smooth contours and closing can fuse breaks or fill gaps. These operations use a structuring element to transform images. The document provides examples of using morphological filters and algorithms for tasks like noise removal, region filling, and connected component extraction.
This document discusses spatial filtering methods for image processing. It defines spatial filtering as applying an operation within a neighborhood of pixels. Filters are classified as low-pass, high-pass, band-pass or band-reject depending on which frequencies they preserve or reject. Common linear spatial filtering methods are correlation and convolution. Smoothing filters like averaging and Gaussian blur reduce noise, while sharpening filters like unsharp masking and derivatives emphasize edges to enhance details.
This document provides an overview of adaptive filters, including:
- Adaptive filters have coefficients that are adjusted based on input data to optimize performance, unlike fixed filters.
- The LMS algorithm is commonly used to adjust coefficients to minimize the mean square error between the filter output and a desired signal.
- Key applications of adaptive filters include noise cancellation, system identification, channel equalization, and echo cancellation.
Understanding GPS & NMEA Messages and Algo to extract Information from NMEA.Robo India
This article is about learning Global Positioning system.
In order to understand GPS, we need to communication protocol of GPS. GPS communicates in NMEA messages.
This document describes NMEA messages and algorithm to extract data.
We welcome all of your queries and views. We are found at-
website- http://roboindia.com
mail-info@roboindia.com
GPS uses a constellation of 24 satellites that continuously transmit positioning and timing data to receivers on Earth. Receivers use this data to calculate their latitude, longitude, altitude and velocity. The system originated from early satellite systems developed during the Cold War. GPS provides positioning accuracy of around 22 meters horizontally and 27 meters vertically for precise civilian use. It has many applications including navigation, mapping, timing and tracking of people and assets.
IRNSS is India's independent regional navigation satellite system consisting of seven satellites providing accurate positioning to users in India and within 1500 km of its borders. The system includes space, ground, and user segments. The space segment uses three geostationary and four geosynchronous orbiting satellites. The ground segment controls and maintains the satellites. The user segment utilizes dual-frequency receivers. IRNSS aims to provide positioning accuracy under 20 meters within its coverage area for various navigation and timing applications.
The Global Positioning System (GPS), originally Navstar GPS, is a satellite-based radionavigation system owned by the United States government and operated by the United States Space Force.
It is one of the global navigation satellite systems (GNSS) that provides geolocation and time information to a GPS receiver anywhere on or near the Earth where there is an unobstructed line of sight to four or more GPS satellites.
Obstacles such as mountains and buildings block the relatively weak GPS signals.
GPS uses trilateration to determine location based on distances to at least three satellites. Each satellite transmits its precise location and time of transmission. The GPS receiver uses the speed of light and transmission time to calculate distances, allowing it to determine its position at the intersection of distance spheres from multiple satellites. Accuracy relies on precise timekeeping of satellites and receivers.
The Global Positioning System (GPS) is a satellite-based navigation system that provides location and time information to users with GPS receivers. It was developed by the U.S. Department of Defense in the 1970s to overcome limitations of previous navigation systems. GPS uses 24 satellites that orbit the Earth and transmit signals that allow receivers to determine their precise location, speed and direction. The system works by calculating the time delay of signals from at least 3 satellites to determine the user's position through trilateration. GPS has both military and civilian applications including vehicle navigation, map-making, tracking valuable assets, and outdoor recreational activities.
Arithmetic coding is a lossless data compression technique that encodes data as a single real number between 0 and 1. It maps a string of symbols to a fractional number, with more probable symbols represented by larger fractional ranges. Encoding involves repeatedly dividing the interval based on symbol probabilities, and the final encoded number represents the entire string. Decoding reconstructs the string by comparing the number to symbol probability ranges. Arithmetic coding achieves compression closer to the entropy limit than Huffman coding by spreading coding inefficiencies across all symbols of the data.
The document describes various image processing techniques in MATLAB, including image adjustment, morphological operations, dilation, erosion, opening, closing, and thresholding. Image adjustment maps pixel values to increase contrast. Morphological operations modify images based on shapes and neighborhoods. Dilation expands objects while erosion shrinks them. Opening removes small objects, while closing fills small holes. Thresholding converts an intensity image to binary.
GPS is a global navigation satellite system that provides location and time information to GPS receivers anywhere on Earth. It consists of three segments - the space segment with 24 satellites orbiting Earth, the control segment of ground stations that monitor the satellites, and the user segment of GPS receivers used by individuals. GPS works by precisely measuring the travel time of signals from multiple satellites to triangulate the receiver's position. It provides accurate positioning 24/7 globally and has many applications including navigation, mapping, and tracking.
India (ISRO) accomplished a spectacular milestone by launching a satellite orbiting around Mars. The mission has critical significance in the history of Mars missions. These slides cover information about this mission including some awesome tricks used in the mission.
This document summarizes different types of satellites and orbits. It defines a satellite as a solid object that revolves around another due to gravitational forces. Satellites are either passive, simply reflecting signals, or active with onboard processing equipment. The first artificial satellite was Sputnik 1, launched in 1957. Satellites in low-Earth orbit have shorter lifespans but provide better signals, while geostationary satellites remain fixed over one position from the ground. The document also briefly discusses Kepler's laws of planetary motion and their application to Earth.
Pulse Code Modulation (PCM) is a method to convert an analog signal into a digital signal. It involves three main steps: 1) sampling the analog signal at regular intervals, 2) quantizing the sampled signal into discrete levels, and 3) encoding the quantized levels into binary digits. The sampling rate must be at least twice the highest frequency of the analog signal according to the Nyquist theorem to avoid aliasing. Quantization divides the signal amplitude range into discrete levels and assigns a unique code to each level. This introduces quantization error but more quantization levels reduce the error. The bit rate of the encoded PCM signal depends on the number of bits per sample and the sampling rate.
The document discusses the Global Positioning System (GPS). GPS is a satellite-based navigation system consisting of three segments - space, control, and user. The space segment includes 24 satellites that transmit radio signals used by GPS receivers to determine location, velocity, and time. The control segment monitors the satellites and updates their clocks. The user segment includes GPS receivers that calculate position by precisely timing signals from at least three satellites. Common sources of error and differential GPS for improving accuracy are also covered, as well as many applications of GPS technology.
Orbits and space flight, types of orbitsShiva Uppu
This document discusses orbital mechanics including different types of orbits around Earth and other planets. It begins by defining orbital elements like eccentricity, semi-major axis, inclination, and orbital period. It then describes different types of orbits including low Earth orbit, geosynchronous orbit, polar orbit, and Hohmann transfer orbits. Basic orbital equations are provided relating centripetal force, gravitational force, orbital velocity, and orbital radius. Numerical examples are worked through to calculate orbital velocity, orbital radius, and orbital period for satellites orbiting Earth.
BASICS OF DIGITAL IMAGE PROCESSING,MARIA PETROUanjunarayanan
The document discusses digital image processing fundamentals. It defines key concepts such as digital images, pixels, image resolution, and quality factors like blurriness and contrast. Image processing techniques are described, including image transforms using matrices. Specific transforms covered are the Haar, Walsh, Hadamard, and discrete Fourier transforms. Singular value decomposition is also introduced as a way to decompose an image into orthogonal basis images.
MSAS is Japan's satellite-based augmentation system that improves the reliability and accuracy of GPS signals. It uses satellites and ground stations to correct errors in GPS positioning. MSAS provides horizontal guidance for aircraft from en route through non-precision approaches. It has met or exceeded requirements for accuracy, integrity, availability, and continuity since becoming operational in 2007. Future plans include supporting more precise approaches and transitioning to dual-frequency signals.
This document discusses morphological image processing techniques. It begins by explaining that morphology uses mathematical morphology operations to extract image components and describe shapes. It then outlines common morphological algorithms like dilation, erosion, opening, closing, and hit-or-miss transformations. Dilation enlarges object boundaries while erosion shrinks them. Opening can smooth contours and closing can fuse breaks or fill gaps. These operations use a structuring element to transform images. The document provides examples of using morphological filters and algorithms for tasks like noise removal, region filling, and connected component extraction.
This document discusses spatial filtering methods for image processing. It defines spatial filtering as applying an operation within a neighborhood of pixels. Filters are classified as low-pass, high-pass, band-pass or band-reject depending on which frequencies they preserve or reject. Common linear spatial filtering methods are correlation and convolution. Smoothing filters like averaging and Gaussian blur reduce noise, while sharpening filters like unsharp masking and derivatives emphasize edges to enhance details.
This document provides an overview of adaptive filters, including:
- Adaptive filters have coefficients that are adjusted based on input data to optimize performance, unlike fixed filters.
- The LMS algorithm is commonly used to adjust coefficients to minimize the mean square error between the filter output and a desired signal.
- Key applications of adaptive filters include noise cancellation, system identification, channel equalization, and echo cancellation.
Understanding GPS & NMEA Messages and Algo to extract Information from NMEA.Robo India
This article is about learning Global Positioning system.
In order to understand GPS, we need to communication protocol of GPS. GPS communicates in NMEA messages.
This document describes NMEA messages and algorithm to extract data.
We welcome all of your queries and views. We are found at-
website- http://roboindia.com
mail-info@roboindia.com
GPS uses a constellation of 24 satellites that continuously transmit positioning and timing data to receivers on Earth. Receivers use this data to calculate their latitude, longitude, altitude and velocity. The system originated from early satellite systems developed during the Cold War. GPS provides positioning accuracy of around 22 meters horizontally and 27 meters vertically for precise civilian use. It has many applications including navigation, mapping, timing and tracking of people and assets.
IRNSS is India's independent regional navigation satellite system consisting of seven satellites providing accurate positioning to users in India and within 1500 km of its borders. The system includes space, ground, and user segments. The space segment uses three geostationary and four geosynchronous orbiting satellites. The ground segment controls and maintains the satellites. The user segment utilizes dual-frequency receivers. IRNSS aims to provide positioning accuracy under 20 meters within its coverage area for various navigation and timing applications.
The Global Positioning System (GPS), originally Navstar GPS, is a satellite-based radionavigation system owned by the United States government and operated by the United States Space Force.
It is one of the global navigation satellite systems (GNSS) that provides geolocation and time information to a GPS receiver anywhere on or near the Earth where there is an unobstructed line of sight to four or more GPS satellites.
Obstacles such as mountains and buildings block the relatively weak GPS signals.
GPS uses trilateration to determine location based on distances to at least three satellites. Each satellite transmits its precise location and time of transmission. The GPS receiver uses the speed of light and transmission time to calculate distances, allowing it to determine its position at the intersection of distance spheres from multiple satellites. Accuracy relies on precise timekeeping of satellites and receivers.
The Global Positioning System (GPS) is a satellite-based navigation system that provides location and time information to users with GPS receivers. It was developed by the U.S. Department of Defense in the 1970s to overcome limitations of previous navigation systems. GPS uses 24 satellites that orbit the Earth and transmit signals that allow receivers to determine their precise location, speed and direction. The system works by calculating the time delay of signals from at least 3 satellites to determine the user's position through trilateration. GPS has both military and civilian applications including vehicle navigation, map-making, tracking valuable assets, and outdoor recreational activities.
Arithmetic coding is a lossless data compression technique that encodes data as a single real number between 0 and 1. It maps a string of symbols to a fractional number, with more probable symbols represented by larger fractional ranges. Encoding involves repeatedly dividing the interval based on symbol probabilities, and the final encoded number represents the entire string. Decoding reconstructs the string by comparing the number to symbol probability ranges. Arithmetic coding achieves compression closer to the entropy limit than Huffman coding by spreading coding inefficiencies across all symbols of the data.
The document describes various image processing techniques in MATLAB, including image adjustment, morphological operations, dilation, erosion, opening, closing, and thresholding. Image adjustment maps pixel values to increase contrast. Morphological operations modify images based on shapes and neighborhoods. Dilation expands objects while erosion shrinks them. Opening removes small objects, while closing fills small holes. Thresholding converts an intensity image to binary.
GPS is a global navigation satellite system that provides location and time information to GPS receivers anywhere on Earth. It consists of three segments - the space segment with 24 satellites orbiting Earth, the control segment of ground stations that monitor the satellites, and the user segment of GPS receivers used by individuals. GPS works by precisely measuring the travel time of signals from multiple satellites to triangulate the receiver's position. It provides accurate positioning 24/7 globally and has many applications including navigation, mapping, and tracking.
India (ISRO) accomplished a spectacular milestone by launching a satellite orbiting around Mars. The mission has critical significance in the history of Mars missions. These slides cover information about this mission including some awesome tricks used in the mission.
This document summarizes different types of satellites and orbits. It defines a satellite as a solid object that revolves around another due to gravitational forces. Satellites are either passive, simply reflecting signals, or active with onboard processing equipment. The first artificial satellite was Sputnik 1, launched in 1957. Satellites in low-Earth orbit have shorter lifespans but provide better signals, while geostationary satellites remain fixed over one position from the ground. The document also briefly discusses Kepler's laws of planetary motion and their application to Earth.
Pulse Code Modulation (PCM) is a method to convert an analog signal into a digital signal. It involves three main steps: 1) sampling the analog signal at regular intervals, 2) quantizing the sampled signal into discrete levels, and 3) encoding the quantized levels into binary digits. The sampling rate must be at least twice the highest frequency of the analog signal according to the Nyquist theorem to avoid aliasing. Quantization divides the signal amplitude range into discrete levels and assigns a unique code to each level. This introduces quantization error but more quantization levels reduce the error. The bit rate of the encoded PCM signal depends on the number of bits per sample and the sampling rate.
3. WC-H
WC-D
WC-U
2G-14 2G-15 2G-16 2G-172G-18 2G-19 2G-20 2G-21 2G-22 2G-23
2G-12
2G-13
2G-10
2G-11
2G-09
2G-08
2G-07
2G-06 2G-05
2G-04a
2G-04b
2G-03a
2G-03b
2G-02
2G-01a
2G-01b
2G-27
2G-26
2G-28
2G-29
2G-30
2G-31
2G-32
2G-33
2G-34
2G-35
2G-36
2G-37
2G-25
W.C.
2G-24a
2G-24b
2G-24c 2G-24d
2G-24e 2G-24f 2G-24g
2G-24h
2G-24i
2G-2Gl
2G-24m
2G-24n
2G-24p2G-24q2G-24r
2H-02
2H-03
2H-04
2H-05
2H-06
2H-07
2H-08
2H-09
2H-12
2H-13
2H-14
2H-15
2H-16
2H-17
2H-18
2H-19
2H-20
2H-102H-11
2H-29
2H-28
2H-27
2H-24
2H-23
2H-22 2H-21
2H-25
2H-26
111,00
118,20
111,00
118,50
118,50
118,30
115,00
115,00
114,90
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Livello 2H 2G
2H-01
2G-24
2H11 STUDIO (1 p) E. SANTAMATO
2H12 AMMINISTRAZIONE CNR/SPIN
2H13 STUDIO (1 p) C. Sciacca (prof. emerito)
2H14 STUDIO (1 p) A. ALOISIO
2H15 STUDIO (1 p) G. ABBATE
2H16 STUDIO (1 p) R. BRUZZESE
2H17 STUDIO (1 p) A. SASSO
2H18 STUDIO (1 p) L. LISTA (infn)
2H19 STUDIO (1 p) C. DE LISIO
2H20 STUDIO (2 p) G. RUSCIANO M. SALLUZZO (spin)
2H21 LAB. CALCOLO E ANALISI DATI FISICA SUBNUCLEARE
2H22 LAB. CALCOLO E ANALISI DATI FISICA SUBNUCLEARE
2H23/24 LAB. ATLAS/CMS/BELLE2
2H25 LAB. NA62/MURAVES
2H26 LAB. G-2
2H27 LAB. KM3
2H28 LAB. NEWS/SHIP/OPERA
2H29 LAB. NEWS/SHIP/OPERA
2G01 LAB. SPETTROSCOPIA LASER E MANIPOLAZIONE OTTICA
2G02 LAB. FISICA ATOMICA E APPLICAZIONI LASER
2G03a DIREZIONE CNR-SPIN
2G03b AMMINISTRAZIONE CNR-SPIN
2G04a UFFICIO PERSONALE INFN
2G04b SEGRETERIA DIREZIONE INFN
2G05 AMMINISTRAZIONE INFN
2G06 AMMINISTRAZIONE INFN
2G07 DIREZIONE INFN
2G08 DIREZIONE DIPARTIMENTO
2G09 AMMINISTRAZIONE DIPARTIMENTO
2G10 UFFICIO ACQUISTI DIPARTIMENTO
2G11 AMMINISTRAZIONE DIPARTIMENTO
2G12 UFFICIO MISSIONI DIPARTIMENTO
2G13 LAB. DIDATTICA DELLA FISICA
2G14 STUDIO (1 p) R. MASSA
2G15 STUDIO (1 p) L. CAMPAJOLA
2G16 STUDIO (1 p) G. ACAMPORA
2G17 STUDIO (1 p) A. ORDINE (infn)
2G18 STUDIO (1 p) G. OSTERIA (infn)
2G19 STUDIO (1 p) D. CAMPANA (infn)
2G20 STUDIO (1 p) E. VARDACI
2G21 STUDIO (1 p) A. GARGANO (infn)
2G22 STUDIO (1 p) D. PIERROTSAKOU (infn)
2G23 STUDIO (1 p) M. VIGILANTE
2G24 BIBLIOTECA DIPARTIMENTO
2G25 UFFICIO PROGETTI DIPARTIMENTO
2G26 SALA RIUNIONI
2G27 SALA RIUNIONI
2G28 STUDIO (1 p) E. CALLONI
2G29 STUDIO (1 p) P. RUSSO
2G30 STUDIO (1 p) L. DI FIORE (infn)
2G31 SALA RIUNIONI DIREZIONE
2G32 STUDIO (1 p) M.C. MONTESI, A. LAURIA
2G33 STUDIO (1 p) N. SPINELLI
2G34
STUDIO (2 p) M.R. MASULLO (infn), F.GALLUCCIO (infn),
C.GATTO (infn), V.G. Vaccaro (pensionato)
2G35 STUDIO (2 p) G. METTIVIER, P. MASSAROTTI
2G36 STUDIO (1 p) D. STORNAIUOLO
2G37 STUDIO (2 p) V. TATCHENKO (isasi), A. MARINO (isasi)
2H01 STUDIO (1 p) G. DE NARDO
2H02 STUDIO (2 p) G. MASTROIANNI (infn), M. IACOVACCI
2H03 STUDIO (1 p) M. Napolitano (prof. emerito)
2H04 STUDIO (1 p) T. DI GIROLAMO
2H05 STUDIO (1 p) G. DE LELLIS
2H06 STUDIO (1 p) G. BARBARINO
2H07 STUDIO (1 p) P. MIGLIOZZI (infn)
2H08 STUDIO (1 p) P. PAOLUCCI (infn)
2H09 STUDIO (2 p) M.G. ALVIGGI, G. CARLINO (infn)
2H10 STUDIO (1 p) L. MARRUCCI
2H11 STUDIO (1 p) E. SANTAMATO
4. 0G-02/03
0G-01
OG-04
WC-H
WC-D
WC-U
1H-22b
1H-22a
1H.21a
1H-21b
1H-12b
1H-10
1H-08
1H-07
1H-09
1H-06
1H-05
1H-04
1H-03
1H-02d/e
1H-11b
1H-01
1G-01a
1G-01b
1G-01c
1G-01d 1G-02
1G-03b
1G-03a
1G-05
1G-06a
1G-06b
1G-07
1G-04
WC-D
WC-U
1G-09
1G-08
1G-10a
1G-19 1G-18 1G-17 1G-16 1G-15 1G-14 1G-13 1G-12
1G-11a
1G-20
1G-21
1G-22b
1G-22a
1G-23
1G-11b
1G-11b
1
2
EDIF. G-H - Q. 115,00
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e Geo m. G. Car an d en t eGeo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t e Geo m. G. Car an d en t eGeo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t eGeo m. G. Car an d en t eGeo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t e Geo m. G. Car an d en t eGeo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t eGeo m. G. Car an d en t eGeo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t e Geo m. G. Car an d en t eGeo m. G. Car an d en t e
Geo m. G. Car an d en t e Geo m. G. Car an d en t e Geo m. G. Car an d en t e Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t e
Geo m. G. Car an d en t e Geo m. G. Car an d en t e Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t eGeo m. G. Car an d en t e Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t e Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t e Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t eGeo m. G. Car an d en t e
Geo m. G. Car an d en t e Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Geo m. G. Car an d en t e
Livello 1H 1G
1H-01a1H-01b
1H-02a/b 1H-02c
1H-02f
1H-11a/c
1H-11d
1H- 12a
1H-24
1H-25
1H-26
1H-27
1H-28
1H-29
1H-30
1H-23
1G-01e
1G-10b
1H-22a
1H-21a
1H-22b
1H01 STUDIO (2p) P. IENGO (infn), D. DELLA VOLPE
1H01a UFFICIO SCR P. MASTROSERIO
1H01b UFFICIO SCR P. LO RE
1H02a /b LAB. LIMADOU/JEM-EUSO
1H02c CAMERA TERMICA
1H02d/e LA. COSTRUZIONI KM3
1H02f LAB. FISICA SUBNUCLEARE
1H03 LAB. Test Km3
1H04 STUDIO (1p) G. SEKHNIAIDZE (infn)
1H05 STUDIO (1p) C. ARAMO (infn)
1H06 STUDIO (1p) G. CHIEFARI (pensionato)
1H07 STUDIO (1p) V. PALLADINO
1H08 STUDIO (1p) F. GUARINO
1H09 STUDIO (1p) M. AMBROSIO (pensionato)
1H10 STUDIO (1p) S. CATALANOTTI
1H11a/c LAB. AUGER/CTA
1H11b LAB. DARKSIDE
1H11d LAB. Test KM3
1H12a LAB. SILICIO AMORFO
1H12b LAB. SILICIO AMORFO
1H21b LAB. DISPOSITIVI SUPERCONDUTTIVI
1H21a LAB. OTTICA ULTRAVELOCE
1H22a LAB. FISICA MEDICA
1H22b LAB. OTTICA GUIDATA
1H23 LAB. FISICA AMBIENTALE
1H24 LAB. OTTICA QUANTISTICA
1H25 LAB. NEWS/SHIP/OPERA
1H26 LAB. MODA
1H27 LAB. SPETTROSCOPIE OTTICHE NON LINEARI
1H28 LAB. ABLAZIONE LASER
1H29 LAB. STM/COHERENTIA
1H30 LAB. DISPOSITIVI SUPERCONDUTTORI ALTA TC
1G01a SERV. CALCOLO E RETI – SALA MACCHINE
1G01b TIER2 ATLAS - SALA RECAS
1G01c CONTROL ROOM LHC
1G01d SERV. CALCOLO E RETI – CAMPUS GRID
1G01e SALA UTENTI
1G02 SERV. ELETTRONICO
1G03a/b SERV. ELETTRONICO
1G04 LAB. DI MICROONDE
1G05 SERV. ELETTRONICO E RIVELATORI
1G06a LAB. DI MICROELETTRONICA
1G06b
LAB. PREPARAZIONE ESPERIENZE DIDATTICHE
DELLA FISICA
1G07 SERV. ELETTRONICO E RIVELATORI
1G08 STUDIO (2p) F. GESUELE + 1 Libero
1G09 AULA
1G10a STUDIO DOTTORANDI (7 POSTI)
1G10b STUDIO OSPITI ( 7 POSTI)
1G11a
LAB. LASS - SVILUPPO SISTEMI
ELETTRONICA ACQUISIZIONE
1G11b1 LAB. NUCLEI ESOTICI
1G11b2 LAB. EDEN
1G12 STUDIO (1 p) G. PATERNOSTER
1G13
STUDIO (2 p) I. LOMBARDO, G.
SPADACCINI (pensionato)
1G14
STUDIO (2 p) L. MANTI M.
QUARTO
1G15 STUDIO (2 p) A. BEST, A. DI LEVA
1G16
STUDIO (2 p) R. GIORDANO, A.
PORRINO
1G17
STUDIO (2 p) V. FERONE, G.
TROMBETTI
1G18
STUDIO (2 p) G. AMBROSONE
(pensionata), U. COSCIA
1G19 STUDIO (1 p) P. MADDALENA
1G20 LAB. OTTICA DEI MATERIALI
1G21 LAB. OTTICA NON LINEARE
1G22a UFFICIO SERV. CALCOLO E RETI
1G22b UFFICIO SERV. CALCOLO E RETI
1G23 LAB. NANO OTTICA
5. 0G-10
0G-09
OG-08
OG-11
OG-07
0G-12
WC
0G-02
0G-01
OG-04
0G-26
0G-27
0G-28
0G-25
0G-24
0G-13
0G-14
0G-15
0G-16
0G-17
0G-18
0G-19
0G-200G-210G-22
0G-23
WC-H
WC-D
WC-U
WC
111,00
111,00
111,70
111,00
108,30
110,65
110,70110,70
111,70
111,00
111,20
106,50
EDIF. G-H - Q. 111,70
Geom. G. C ar andente
Geom. G. C ar andenteG e om . G . Ca r a nde nte
G e om . G . Ca r a nde nte
Geom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente
G e om . G . Ca r a nde nte
Geom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andenteGeom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andenteGeom. G. C ar andente
G e om . G . Ca r a nde nteG e om . G . Ca r a nde nteGeom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente
G e om . G . Ca r a nde nte
Geom. G. C ar andente Geom. G. C ar andente Geom. G. C ar andente Geom. G. C ar andente Geom. G. C ar andente Geom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente Geom. G. C ar andente
Geom. G. C ar andenteGeom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente Geom. G. C ar andente
Geom. G. C ar andente Geom. G. C ar andente
Geom. G. C ar andente Geom. G. C ar andente
Geom. G. C ar andente
G e om . G . Ca r a nde nte
Geom. G. C ar andente
G e om . G . Ca r a nde nteG e om . G . Ca r a nde nte Geom. G. C ar andenteGeom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente Geom. G. C ar andente Geom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente Geom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andenteGeom. G. C ar andente
Geom. G. C ar andenteGeom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente Geom. G. C ar andenteGeom. G. C ar andente
Geom. G. C ar andenteGeom. G. C ar andente
Geom. G. C ar andenteGeom. G. C ar andenteGeom. G. C ar andenteGeom. G. C ar andente
Geom. G. C ar andenteGeom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andenteGeom. G. C ar andenteGeom. G. C ar andente
Geom. G. C ar andenteGeom. G. C ar andenteGeom. G. C ar andente
Geom. G. C ar andente
Geom. G. C ar andente Geom. G. C ar andente
Geom. G. C ar andenteGeom. G. C ar andente
Geom. G. C ar andenteGeom. G. C ar andenteGeom. G. C ar andenteGeom. G. C ar andente
Geom. G. C ar andente
Livello 0G
0G22
0G23
0G21 0G20
0G24
0G25
0G26
0G27
OG-11
OG-12
0G01
0G02/03
0G04
0G01 LAB. ACCELERATORE
0G02/03 OFFICINA MECCANICA
0G04 OFFICINA MECCANICA
0G24 SALA ATTREZZATURE MECCANICHE
0G25 SALA ATTREZZATURE MECCANICHE
0G26 SALA CONTROLLO LAB. ACCELERATORE
0G27 UFFICIO LAB. ACCELERATORE
0G07 MAGAZZINO DIPARTIMENTO
0G08 UFFICIO MAGAZZINO DIPARTIMENTO
0G09 SERV. PREVENZIONE E PROTEZIONE INFN
0G10 PROGETTAZIONE MECCANICA INFN
0G11 PROGETTAZIONE MECCANICA INFN
0G12 SERV. IMPIANTI E MANUTENZIONE DIPARTIMENTO
0G13/14 LAB. BIOFISICA
0G15 LAB. ASTROFISICA NUCLEARE
0G16/17 LAB. RADIOATTIVITA’
0G18 STUDIO (1p) R. DE ASMUNDIS (infn)
0G19 LAB. BIOFISICA DELLE RADIAZIONI
0G20 LAB. BIOFISICA DELLE RADIAZIONI
0G21 LAB. BIOFISICA DELLE RADIAZIONI
0G22/23
LAB. RADIAZIONI NON IONIZZANTI E
BIOFISICA DELLE RADIAZIONI
0G24 SALA ATTREZZATURE MECCANICHE
0G25 SALA ATTREZZATURE MECCANICHE
0G26 SALA CONTROLLO LAB. ACCELERATORE
0G27 UFFICIO LAB. ACCELERATORE
0G28 STUDIO DOTTORANDI (18p)
6. W.C.H.
M ONT ASCALE
M ONT ASCALE
PUNTO RISTORO
Q.107.30
CAMERA BUIA
DEPOSITO
LABORATORIO
LOCALE DEPOSITO
LOCALE STUDENTI
SOTTOCENTRALE 5bis
Q.108.00
Q.107.30
Q.107.30
Q.107.30
Q.107.30
Q.107.30
Q.107.30
Q.107.30
Q.107.30
Q.107.30
Q.107.30
Q.107.30
Q.107.30
Q.107.30
Q.106.45
CUNICOLO
Q.106.45
ANT I W.C.
ANT I W.C.
Q.104.65
ST UDIO 1 ST UDIO 2 ST UDIO 3 ST UDIO 4 ST UDIO 5 ST UDIO 6
DEPOSIT O
Q.107.30
Q.104.65
M.CORPOA
Q.108.00 Q.108.40
Q.106.50
CUNICOLO Q.104.00
CAMMINAMENTO Q.108.40
Q.104.00
Q.105.30
Q.106.15
LOCALE COMPRESSORE
CENTRALE 5
TANDEM
W.C.H
W.C.
Q.106.15
Q.108.30
Q.105.70
Q.105.30
Q.105.30
CENTRALE ELETTRICA
Q.108.40
W.C.
W.C.
W.C.W.C.
W.C.
W.C.
W.C.
W.C.
-1G-04
-1G-06
-1G-07a
-1G-03
-1G-01g
EDIF. G-H - Q. 107
Livello -1G
-1G01h -1G01i
-1G-01f -1G-01e -1G-01a-1G-01b-1G-01c
-1G-01
-1G-01d
-1G-07b
-1G-05
-1G01a STANZA DITTA PULIZIE
-1G01b STANZA DITTA PULIZIE
-1G01c STANZA DITTA PULIZIE
-1G01d
LAB. FLUORESCENZA X - Locale
microscopi
-1G01e
LAB. FLUORESCENZA X - Sala
controllo Raggi X
-1G01f
LAB. FLUORESCENZA X - Locale
Raggi X (controllato)
-1G01h
LAB. FLUORESCENZA X - Locale
meccanica & chimica
-1G01g/i LAB. DIDATTICI O&O
-1G03 SALA STUDIO STUDENTI
-1G04 ex SALA MENSA
-1G05 ex DEPOSITO MENSA
-1G06 LAB. BIOFOTONICA
-1G07a/b LAB. SVILUPPI TECNOLOGICI
7. 2Ma-01
2Ma-02
2Ma-03 2Ma-04 2Ma-05 2Ma-06 2Ma-07 2Ma-08 2Ma-09 2Ma-10
2Ma-11
2MA-12
2Ma-22 2Ma-21 2Ma-20 2Ma-19 2Ma-18
2Ma-17
2Ma-16 2Ma-15
2Ma-14
2Ma-13
2Ma-23 2Ma-24 2Ma-25 2Ma-26 2Ma-27
2Ma-28
2Ma-29
2Ma-39 2Ma-38 2Ma-37 2Ma-36 2Ma-35 2Ma-34
2Ma-33 2Ma-32
2Ma-31
2Ma-30
2N'-01
2N'-02
2N'-03 2N'-04
2N'-05 2N'-06
2N'-22
2N'-21 2N'-20
2N'-07 2N'-08
2N'-09 2N'-10
2N'-11 2N'-12
2N'-19 2N'-18 2N'-17 2N'-16 2N'-15
2N'-13
2N'-23
2N'-442N'-45
2N'-24
2N'-25 2N'-26
2N'-27 2N'-28 2N'-29
2N'-43 2N'-42 2N'-41 2N'-40 2N'-39 2N'-38
2N'-37
2N'-36
2N'-35
2N'-342N'-33
2N'-322N'-31
2N'-30
EDIF. Ma-N' Q.ta 118
Mt. 5.0
Q.E.
Livello
2M 2N
a
b
2Ma01a STUDIO ASSEGNISTI (4 p)
2Ma01b STUDIO ASSEGNISTI (5 p)
2Ma02 STUDIO OSPITI (3 p)
2Ma03
STUDIO (2 p) M.G. D’EMILIO (imaa), M. PICA
CIAMARRA (spin)
2Ma04 STUDIO (1 p) L. MEROLA
2Ma05 STUDIO (1 p) A. PORZIO (spin)
2Ma06 STUDIO (1 p) G. RICCIARDI
2Ma07 STUDIO (1 p) S. AMORUSO
2Ma08 STUDIO (1 p) A. ZOLLO
2Ma09 STUDIO (1 p) G. RUSSO ric.
2Ma10/11
STUDIO (2 p) A . BOSELLI (imaa), X. WANG
(spin)
2Ma12 PUNTO INCONTRO
2Ma13 STUDIO (2 p) L. VALORE, V. IZZO (infn)
2Ma14 STUDIO (1 p) M. NICODEMI
2Ma15 STUDIO (1 p) S. LETTIERI (isasi)
2Ma16 STUDIO (1 p) P. ANIELLO
2Ma17 STUDIO (1 p)
2Ma18 STUDIO (1 p) A. AMBROSIO (spin)
2Ma19 STUDIO (1 p) G. FESTA
2Ma20 STUDIO (1 p) M. PICOZZI
2Ma21 STUDIO (1 p) A. IMPARATO
2Ma22 STUDIO (1 p) G. PESCE
2N01 STUDIO ASSEGNISTI (2 p)
2N02 STUDIO (1 p) G.MIELE
2N03 STUDIO (1 p) P. SANTORELLI
2N04 STUDIO (1 p) M. ABUD
2N05 STUDIO (1 p) F. PERUGGI
2N06 STUDIO (1 p) G. CRISTOFANO
2N07 STUDIO (1 p) G. D’AMBROSIO (infn)
2N08 STUDIO (1 p) A. CLARIZIA (pensionato)
2N09
STUDIO (2 p) G. ESPOSITO (infn), G.
SCALA (aric infn)
2N10 STUDIO (1 p) C. STORNAIOLO (infn)
2N11 STUDIO (2 p) R. FIGARI, I. TESTA
2N12 STUDIO (1 p) L. ROSA
2N13 STUDIO (1 p) W. MUECK
2N15 STUDIO OSPITI (2 p)
2N16 STUDIO (1 p) E. BALZANO
2N17 STUDIO (1 p) O. PISANTI
2N18 STUDIO (1 p) G. MANGANO (infn)
2N19 STUDIO (1 p) A. COCCO (infn)
2N20 STUDIO (1 p) G. BIMONTE
2N21 STUDIO (1 p) L. CAPPIELLO
2N22 SALA RIUNIONE
2N23 STUDIO (1 p) B. PICCIRILLO
2N24 STUDIO (1 p) S. CAPOZZIELLO
2N25 STUDIO (1 p) A. DE CANDIA
2N26 STUDIO (1 p) A. FIERRO (spin)
2N27 STUDIO (1 p) F. LIZZI
2N28 STUDIO (1 p) A. LICCARDO
2N29 STUDIO (1 p) G. COVONE
2N30 STUDIO (1 p) R. MAROTTA (infn)
2N31 STUDIO (1 p) P. VITALE
2N32
STUDIO (1 p) G. MARMO (Incaricato ricerca
UniNA)
2N33
STUDIO (2 p) F.VENTRIGLIA, J. M. PEREZ PARDO
(bors infn)
2N34 STUDIO (1 p) S. DE NICOLA (spin)
2N35
STUDIO (2 p) M. PAOLILLO, M. D’ABRUSCO
(aric dip)
2N36/37
STUDIO (2 p) P. SCUDELLARO, F.
TRAMONTANO
2N38 STUDIO (1 p) R. FEDELE
2N39 STUDIO OSPITI (1 p) per brevi periodi (7 gg.)
2N40 STUDIO (1 p) E. PIEDIPALUMBO
2N41 STUDIO (1 p)
2N42 STUDIO (1 p) F. PEZZELLA (infn)
2N43 STUDIO (1 p) M. CAPACCIOLI (prof. emerito)
2N44/45 SALA RIUNIONI
2Ma23 STUDIO (1 p) A. EMOLO
2Ma24 STUDIO (1 p) R. DI CAPUA
2Ma25 STUDIO (1 p) U. SCOTTI DI UCCIO
2Ma26 STUDIO (1 p) E. SCHETTINO (pensionata)
2Ma27/28 STUDIO (2 p) G. CANTELE (spin) P. LUCIGNANO (spin)
2Ma29 STUDIO OSPITI (3 p) per brevi periodi (< 7 gg.)
2Ma30 STUDIO (2 p) G. DE FILIPPIS + 1 libero
2Ma31 STUDIO (1 p) C. PERRONI
2Ma32 STUDIO (1 p) C. ALTUCCI
2Ma33 STUDIO (1 p) V. CATAUDELLA
2Ma34 STUDIO (1 p) D. NINNO
2Ma35 STUDIO (1 p) R. VELOTTA
2Ma36 STUDIO (1 p) A. TAGLIACOZZO
2Ma37 STUDIO (1 p) F. MILETTO (spin)
2Ma38/
39
STUDIO OSPITI (3 p) G. IADONISI (prof. emerito) S.
SOLIMENO (prof. emerito) A. CONIGLIO (prof.
emerito)
8. PASSERELLAMETALLICA
1Ma-01a
1Ma-01b
1Ma-02
1Ma-031Ma-04
1Ma-22 1Ma-21 1Ma-20 1Ma-19
1Ma-05 1Ma-06 1Ma-071Ma-08 1Ma-09
1Ma-10
1Ma-11 1Ma-12
1Ma-13 1Ma-14
1Ma-18
1Ma-17
1Ma-16
1Ma-15
1Ma-23 1Ma-24 1Ma-25 1Ma-261Ma-27
1Ma-28 1Ma-29
1Ma-30
1Ma-311Ma-32
1Ma-33
1Ma-34 1Ma-35
1Ma-36
1Ma-37
1Ma-38
1Ma-39
1N'-01
1N'-02a
1N'-02b 1N'-03 1N'-04
1N'-05
1N'-061N'-07
EDIF. Ma-N' Q.ta 115
Q.E.
Livello 1M 1N
1Ma23 STUDIO (1 p) L. SMALDONE (pensionato)
1Ma24/25 STUDIO (2 p) F. GARUFI, R. DE ROSA
1Ma26/27 LAB. RADIOATTIVITA’
1Ma28 STUDIO (1 p) A. RAMAGLIA
1Ma29 STUDIO (1 p) M. G. PUGLIESE
1Ma30 STUDIO (1 p) V. ROCA
1Ma31 STUDIO (1 p) M. MACCHIATO
1Ma32 STUDIO (1 p) D. PAPARO (isasi)
1Ma33 STUDIO (1 p) G. RUSSO prof.
1Ma34 STUDIO (1 p) G. SARACINO
1Ma35 STUDIO (1 p) G. LONGO
1Ma36 STUDIO (1 p) G. FIORILLO
1Ma37 STUDIO ASSEGNISTI (2 p)
1Ma38/39 SALA RIUNIONI
1N01 STUDIO (1 p) T. LERRO
1N02a SALA STUDIO STUDENTI
1N02b SALA STUDIO STUDENTI
1N03 LAB. DID. - AULA INFORMATICA
1N04 LAB. DID. - OTTICA
1N05 LAB. DID. - ELETTROMAGNETISMO
1N06 LAB. DID. - ELETTRONICA
1N07 LAB. DID. - AULA INFORMATICA
1Nxx LAB. DID. - LOCALE D’APPOGGIO
1Ma09 STUDIO (1 p) F. ANDREOZZI
1Ma10 STUDIO (1 p) P. SCAMPOLI
1Ma11 STUDIO (1 p) G. IMBRIANI
1Ma12 STUDIO (1 p) F. AMBROSINO
1Ma13 STUDIO (1 p) V. CANALE
1Ma14 STUDIO (2 p) G. DE ROSA, V. TIOUKOV (infn)
1Ma15/16 LAB. INFORMATICO GEOFISICI
1Ma17/18 STUDIO ASSEGNISTI (4 p)
1Ma19 STUDIO (1 p) M. DALLA PIETRA
1Ma20 STUDIO (1 p) S. BUONTEMPO (infn)
1Ma21 STUDIO (1 p) M. DURANTE
1Ma22 STUDIO (2 p) L. CORAGGIO (infn) + 1 libero
1M01a LAB. FAZIA
1M01b LAB. CALCOLO FISICA NUCLEARE
1M01c STUDIO ASSEGNISTI (2 p)
1M02 DEPOSITO EMULSIONI OPERA
1M03 STUDIO ASSEGNISTI (2 p)
1M04/05 STUDIO ASSEGNISTI (4 p)
1M06 STUDIO (1 p) M. ROMOLI (infn)
1M07 STUDIO (1 p) G. LA RANA
1M08 STUDIO (1 p) M. LA COMMARA
1Ma-01c