Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Fisica con Arduino / Giovanni Organtini
| Fisica con Arduino / Giovanni Organtini |
| Autore | Organtini, Giovanni |
| Pubbl/distr/stampa | Bologna, : Zanichelli, 2020 |
| Descrizione fisica | iv, 92 p. : ill. ; 27 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
76-XX - Fluid mechanics [MSC 2020] 82-XX - Statistical mechanics, structure of matter [MSC 2020] 78-XX - Optics, electromagnetic theory [MSC 2020] 00A69 - General applied mathematics [MSC 2020] |
| ISBN | 978-88-08-92018-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0250870 |
Organtini, Giovanni
|
||
| Bologna, : Zanichelli, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Fondamenti di fisica / James S. Walker ; a cura di Giovanni Organtini
| Fondamenti di fisica / James S. Walker ; a cura di Giovanni Organtini |
| Autore | WALKER, James S. |
| Edizione | [6. ed.] |
| Pubbl/distr/stampa | Milano; Torino, : Pearson, 2020 |
| Descrizione fisica | XXVIII, 990 p. : ill. ; 29 cm |
| Disciplina | 530 |
| Altri autori (Persone) | ORGANTINI, Giovanni |
| Soggetto topico | Fisica - Manuali |
| ISBN | 978-88-919-0554-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Titolo uniforme | |
| Record Nr. | UNISA-996428449003316 |
|
WALKER, James S.
|
||
| Milano; Torino, : Pearson, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Physics experiments with Arduino and smartphones / / Giovanni Organtini
| Physics experiments with Arduino and smartphones / / Giovanni Organtini |
| Autore | Organtini Giovanni |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (403 pages) |
| Disciplina | 530.078 |
| Collana | Undergraduate texts in physics |
| Soggetto topico |
Physics - Experiments
Física Arduino (Controlador programable) Telèfons intel·ligents |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-65140-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- 1 Physics and Nature -- 1.1 Physics and Other Sciences -- 1.2 Measurements and the Laws of Physics -- 1.3 The Process of Measurement -- Summary -- References -- 2 Establishing a System of Units -- 2.1 Measuring Light Intensity -- 2.2 Definition of Units -- 2.3 Systems of Units -- Summary -- References -- 3 Collecting Data -- 3.1 Instruments -- 3.2 Smartphones -- 3.3 Arduino -- 3.4 Open Source Makes It Better -- 3.5 Measuring Light Intensity with a Smartphone -- 3.6 Measuring Light Intensity with Arduino -- 3.7 Understanding Arduino Programming -- 3.8 Python Data Collection -- Summary -- 4 Uncertainties -- 4.1 Data Analysis -- 4.2 Data Analysis with Python -- Summary -- 5 Establishing Physical Laws -- 5.1 Light Transmission -- 5.2 Taking the Average with Arduino -- 5.3 A First Look at Data -- 5.4 Plotting Graphs and Interpolating Data -- 5.5 An Approximated Model -- 5.6 Non-polynomial Models -- 5.7 The Exponential Model -- Summary -- 6 Free-Fall and Accelerations -- 6.1 Setting Up the Experiment -- 6.2 Measuring Times -- 6.3 Photogates -- 6.4 Measuring Time with Arduino -- 6.5 An Acoustic Stopwatch -- 6.6 Uncertainty Propagation -- 6.7 Measuring Accelerations -- 6.8 MEMS Accelerometers -- 6.9 Annotating Graphs -- 6.10 Instrument Characteristics -- Summary -- 7 Understanding Data Distributions -- 7.1 On the Values Returned by Instruments -- 7.2 Probability -- 7.3 Bayes Theorem and Physics -- 7.4 Statistical Distribution of Data -- 7.5 Uniform Distribution -- 7.6 Expected Value, Variance and Moments -- 7.7 Combining Errors, Revisited -- 7.8 The Binomial Distribution -- 7.9 The Shape of the Bimonial Distribution -- 7.10 Random Walk -- 7.11 The Poisson Distribution -- 7.12 The Shape of the Poisson Distribution -- Summary -- References -- 8 Counting Experiments.
8.1 Experiments with Binomial and Poisson Statistics -- 8.2 Operations on Lists -- 8.3 Chauvenet's Criterion -- 8.4 Simulating Advanced Experiments -- 8.5 Using Arduino Pins -- 8.6 The Phyphox Editor -- 8.7 Readily Available Particle Detectors -- 8.8 Image Manipulation with Python -- Summary -- Reference -- 9 The Normal Distribution -- 9.1 A Distribution Depending on the Distance -- 9.2 The Central Limit Theorem -- 9.3 Experimental Proof of the Central Limit Theorem -- 9.4 The Markov and Chebyschev Inequalities -- 9.5 Testing Chebyschev's Inequality -- 9.6 The Law of Large Numbers -- 9.7 The Uncertainty About the Average -- Summary -- 10 Kinematics -- 10.1 Designing the Experiment -- 10.2 Measuring Time and Distances with Arduino -- 10.3 Ultrasonic Sensors -- 10.4 Arduino Data Acquisition -- 10.5 Collecting Data -- 10.6 Data Analysis -- 10.7 Evaluating the Goodness of a Fit -- 10.8 Data Processing -- 10.9 The χ2-Distribution -- 10.10 The Least Squares Method -- 10.11 Discarding Bad Data -- 10.12 Measuring Gravity Acceleration -- Summary -- 11 Oscillations -- 11.1 An Experiment to Study Elasticity -- 11.2 A Study of Spring Dynamics with Smartphones -- 11.3 Obtaining Parameters from Data -- 11.4 Extracting and Manipulating Data -- 11.5 Optimisation Methods -- 11.6 A Harmonic Oscillator with Arduino -- 11.7 Newton's Laws -- 11.8 A Widely Applicable Model -- Summary -- Reference -- 12 Maximum Likelihood -- 12.1 Application of the Bayes Theorem to Measurements -- 12.2 An Experimental Proof -- 12.3 Parameter Estimation -- Summary -- 13 Physics in Non-inertial Systems -- Giovanni Organtini -- 13.1 Dynamics in Non-inertial Systems -- 13.2 Free-Fall -- 13.3 Custom Experiments with Phyphox -- 13.4 Centripetal and Centrifugal Accelerations -- 13.5 Coriolis Acceleration -- 13.6 Euler Acceleration -- Summary -- 14 Dynamics of Rigid Bodies. 14.1 A Cylinder Rolling Along an Incline -- 14.2 Using a Smartphone's Gyroscope Remotely -- 14.3 Arduino Gyroscopes and I2C Communications -- 14.4 The Arduino Wire Library -- 14.5 Using an SD Card -- 14.6 Using SD Cards to Store Data -- 14.7 The Native SPI Protocol -- Summary -- References -- 15 Wave Mechanics -- 15.1 Making Waves -- 15.2 Command Line Options -- 15.3 Properties of a Wave -- 15.4 The Student's t-Distribution -- 15.5 Interference -- 15.6 Finding the Distribution of a Random Variable -- 15.7 Beats -- 15.8 Collecting Audio Data with Arduino -- 15.9 Dimensional Analysis -- 15.10 Temperature Measurements with Arduino -- 15.11 The 1-Wire Protocol -- 15.12 Establishing a Correlation -- Summary -- References -- Index -- Index. |
| Record Nr. | UNINA-9910503000903321 |
|
Organtini Giovanni
|
||
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Physics experiments with Arduino and smartphones / / Giovanni Organtini
| Physics experiments with Arduino and smartphones / / Giovanni Organtini |
| Autore | Organtini Giovanni |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (403 pages) |
| Disciplina | 530.078 |
| Collana | Undergraduate texts in physics |
| Soggetto topico |
Physics - Experiments
Física Arduino (Controlador programable) Telèfons intel·ligents |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-65140-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- 1 Physics and Nature -- 1.1 Physics and Other Sciences -- 1.2 Measurements and the Laws of Physics -- 1.3 The Process of Measurement -- Summary -- References -- 2 Establishing a System of Units -- 2.1 Measuring Light Intensity -- 2.2 Definition of Units -- 2.3 Systems of Units -- Summary -- References -- 3 Collecting Data -- 3.1 Instruments -- 3.2 Smartphones -- 3.3 Arduino -- 3.4 Open Source Makes It Better -- 3.5 Measuring Light Intensity with a Smartphone -- 3.6 Measuring Light Intensity with Arduino -- 3.7 Understanding Arduino Programming -- 3.8 Python Data Collection -- Summary -- 4 Uncertainties -- 4.1 Data Analysis -- 4.2 Data Analysis with Python -- Summary -- 5 Establishing Physical Laws -- 5.1 Light Transmission -- 5.2 Taking the Average with Arduino -- 5.3 A First Look at Data -- 5.4 Plotting Graphs and Interpolating Data -- 5.5 An Approximated Model -- 5.6 Non-polynomial Models -- 5.7 The Exponential Model -- Summary -- 6 Free-Fall and Accelerations -- 6.1 Setting Up the Experiment -- 6.2 Measuring Times -- 6.3 Photogates -- 6.4 Measuring Time with Arduino -- 6.5 An Acoustic Stopwatch -- 6.6 Uncertainty Propagation -- 6.7 Measuring Accelerations -- 6.8 MEMS Accelerometers -- 6.9 Annotating Graphs -- 6.10 Instrument Characteristics -- Summary -- 7 Understanding Data Distributions -- 7.1 On the Values Returned by Instruments -- 7.2 Probability -- 7.3 Bayes Theorem and Physics -- 7.4 Statistical Distribution of Data -- 7.5 Uniform Distribution -- 7.6 Expected Value, Variance and Moments -- 7.7 Combining Errors, Revisited -- 7.8 The Binomial Distribution -- 7.9 The Shape of the Bimonial Distribution -- 7.10 Random Walk -- 7.11 The Poisson Distribution -- 7.12 The Shape of the Poisson Distribution -- Summary -- References -- 8 Counting Experiments.
8.1 Experiments with Binomial and Poisson Statistics -- 8.2 Operations on Lists -- 8.3 Chauvenet's Criterion -- 8.4 Simulating Advanced Experiments -- 8.5 Using Arduino Pins -- 8.6 The Phyphox Editor -- 8.7 Readily Available Particle Detectors -- 8.8 Image Manipulation with Python -- Summary -- Reference -- 9 The Normal Distribution -- 9.1 A Distribution Depending on the Distance -- 9.2 The Central Limit Theorem -- 9.3 Experimental Proof of the Central Limit Theorem -- 9.4 The Markov and Chebyschev Inequalities -- 9.5 Testing Chebyschev's Inequality -- 9.6 The Law of Large Numbers -- 9.7 The Uncertainty About the Average -- Summary -- 10 Kinematics -- 10.1 Designing the Experiment -- 10.2 Measuring Time and Distances with Arduino -- 10.3 Ultrasonic Sensors -- 10.4 Arduino Data Acquisition -- 10.5 Collecting Data -- 10.6 Data Analysis -- 10.7 Evaluating the Goodness of a Fit -- 10.8 Data Processing -- 10.9 The χ2-Distribution -- 10.10 The Least Squares Method -- 10.11 Discarding Bad Data -- 10.12 Measuring Gravity Acceleration -- Summary -- 11 Oscillations -- 11.1 An Experiment to Study Elasticity -- 11.2 A Study of Spring Dynamics with Smartphones -- 11.3 Obtaining Parameters from Data -- 11.4 Extracting and Manipulating Data -- 11.5 Optimisation Methods -- 11.6 A Harmonic Oscillator with Arduino -- 11.7 Newton's Laws -- 11.8 A Widely Applicable Model -- Summary -- Reference -- 12 Maximum Likelihood -- 12.1 Application of the Bayes Theorem to Measurements -- 12.2 An Experimental Proof -- 12.3 Parameter Estimation -- Summary -- 13 Physics in Non-inertial Systems -- Giovanni Organtini -- 13.1 Dynamics in Non-inertial Systems -- 13.2 Free-Fall -- 13.3 Custom Experiments with Phyphox -- 13.4 Centripetal and Centrifugal Accelerations -- 13.5 Coriolis Acceleration -- 13.6 Euler Acceleration -- Summary -- 14 Dynamics of Rigid Bodies. 14.1 A Cylinder Rolling Along an Incline -- 14.2 Using a Smartphone's Gyroscope Remotely -- 14.3 Arduino Gyroscopes and I2C Communications -- 14.4 The Arduino Wire Library -- 14.5 Using an SD Card -- 14.6 Using SD Cards to Store Data -- 14.7 The Native SPI Protocol -- Summary -- References -- 15 Wave Mechanics -- 15.1 Making Waves -- 15.2 Command Line Options -- 15.3 Properties of a Wave -- 15.4 The Student's t-Distribution -- 15.5 Interference -- 15.6 Finding the Distribution of a Random Variable -- 15.7 Beats -- 15.8 Collecting Audio Data with Arduino -- 15.9 Dimensional Analysis -- 15.10 Temperature Measurements with Arduino -- 15.11 The 1-Wire Protocol -- 15.12 Establishing a Correlation -- Summary -- References -- Index -- Index. |
| Record Nr. | UNISA-996466847403316 |
|
Organtini Giovanni
|
||
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||