SlideShare a Scribd company logo
1 of 1
Download to read offline
New ideograms for physics
Pablo García-Risueño 1
, Apostolos Syropoulos 2
, Natàlia Vergés 3
1) Humboldt-Universität zu Berlin, Zum großen Windkanal 6, 12489 Berlin, Germany; risueno@physik.hu-berlin.de
2) Independent scholar, Xanthi, Greece; asyropoulos@yahoo.com
3) Ars Didactica, C/ Major 2, Besalú, 17850 Girona, Spain.
Abstract
Ideograms (symbols that represent a word or idea) have a great communicative value. They refer to concepts in a simple manner, thus making it easier the
understanding of complex ideas where such concepts appear. In addition, ideograms simplify the notation, which is often cumbersome for equations at the field
of physics. We propose ideograms for essential concepts of physics, like electron, photon or phonon. They are designed to be intuitive, and their goal is to make
the reading of equations more comfortable. Our symbols are included in a publicly available LATEX package.
The usefulness of ideograms
Ideograms are present in communication codes that we use daily. Examples of ideograms are the digits 0, 1,. . . , 9, mathematical symbols (like
+, −, %, ·, ×, √, ∈), emoticons, traffic signs or commercial logos. Symbols that represent a word are present in English (e.g., think of @, $ or &) and are
ubiquitous in other languages with many speakers, like Chinese, Korean, and Japanese.
Ideograms present several advantages with respect to words written using an alphabet. Ideograms imply a better and faster comprehension [1], while concepts
represented with ideograms are better identified and recalled [2]. When reading a word written in an aplhabet, we need to make up the sequence of sounds
that corresponds to it; however, with an ideogram the meaning can be directly understood. An example of the superiority of ideograms is that the human
mind identifies a concept like “hand” on a cartoon of a hand more quickly than on a photograph of it [3]. The advantage of ideograms can be gauged by
merely comparing the ease of reading numbers (1, 2, 3,. . . ) vs. their written names (one, two, three,. . . ) [4]. The features of ideograms are also illustrated
by the surprising fact that there exist people with neurological injuries who cannot read texts written with phonetic signs, but can do it if the text is written with
ideograms [5].
The reasons just described encouraged us to develop ideograms for basic concepts of physics. Despite the close link between mathematics and physics,
ideograms are ubiquitous in mathematics, but shyly used in physics. In particle physics some symbols are traditionally used, but to the best of our knowledge
they were not included in a LATEX package to date.
Equations of physics are often very complex and thus demand very heavy notation. With these ideograms we hope to make equations easier to understand, as
well as more elegant. Our ideograms are designed to be intuitive, easy to identify and to remember. To ease their identification, some of our designs contain
the initial letter of the word that they represent. Since it is a LATEX tradition to use the Computer Modern fonts, we have based our designs on these fonts,
nevertheless, these symbols should be usable with any other mathematics font.
The ideograms that we propose are included into the svrsymbols LATEX package that can be downloaded from www.ctan.org/tex-archive/fonts/
svrsymbols.
List of proposed new symbols
The list of ideograms includes, among others, these characters:
Experimental v
Error q
Method A
Assumption u
Reference l
Spin (down) o (Z)
Orbit B
Fermion c
Photon b, L
Electron a
Proton d
Neutron g
Hole h
Phonon j
Exciton i
Polaron k
Plasmon p
Solid t
Graphene s
Atom C
Nucleus e
Ion f
Surface z
Water r
Positron m
Antiproton n
Antineutron y
(Anti)quark O (E)
Up (anti)quark U (K)
Down (anti)quark R (H)
Top (anti)quark T (J)
Bottom (anti)quark P (F)
Charm (anti)quark Q (G)
Strange (anti)quark S (I)
(Anti)muon x (w)
(Anti)neutrino N (M)
We welcome suggestions for additional new symbols.
References
[1] A. P. Shinamura, The American Journal of Psychology 100, 15 (1987).
[2] S. Park and T. Y. Arbuckle, Journal of Experimental Psychology: Human Learning and Memory 3(6), 631 (1977).
[5] T. A. Ryan and C. B. Schwartz, American Journal of Psychology 96, 66 (1956).
[4] B. D. and M. Coltheart, Neuropsychologia 17, 467 (1979).
[5] S. Sasanuma, Brain and Language 2, 369 (1975).

More Related Content

What's hot

A Constructive Mathematics approach for NL formal grammars
A Constructive Mathematics approach for NL formal grammarsA Constructive Mathematics approach for NL formal grammars
A Constructive Mathematics approach for NL formal grammarsFederico Gobbo
 
Use of ontologies in natural language processing
Use of ontologies in natural language processingUse of ontologies in natural language processing
Use of ontologies in natural language processingATHMAN HAJ-HAMOU
 
Cross-lingual event-mining using wordnet as a shared knowledge interface
Cross-lingual event-mining using wordnet as a shared knowledge interfaceCross-lingual event-mining using wordnet as a shared knowledge interface
Cross-lingual event-mining using wordnet as a shared knowledge interfacepathsproject
 
Negation in the Ecumenical System
Negation in the Ecumenical SystemNegation in the Ecumenical System
Negation in the Ecumenical SystemValeria de Paiva
 
A Combined Approach to Part-of-Speech Tagging Using Features Extraction and H...
A Combined Approach to Part-of-Speech Tagging Using Features Extraction and H...A Combined Approach to Part-of-Speech Tagging Using Features Extraction and H...
A Combined Approach to Part-of-Speech Tagging Using Features Extraction and H...Editor IJARCET
 
What is algorithm
What is algorithmWhat is algorithm
What is algorithmmans_1201
 
Model-Driven Software Development with Semantic Web Technologies
Model-Driven Software Development with Semantic Web TechnologiesModel-Driven Software Development with Semantic Web Technologies
Model-Driven Software Development with Semantic Web TechnologiesFernando Silva Parreiras
 
My presentation all shortestpath
My presentation all shortestpathMy presentation all shortestpath
My presentation all shortestpathCarlostheran
 
Categorical Explicit Substitutions
Categorical Explicit SubstitutionsCategorical Explicit Substitutions
Categorical Explicit SubstitutionsValeria de Paiva
 
Good survey.83 101
Good survey.83 101Good survey.83 101
Good survey.83 101ssairayousaf
 

What's hot (13)

A Constructive Mathematics approach for NL formal grammars
A Constructive Mathematics approach for NL formal grammarsA Constructive Mathematics approach for NL formal grammars
A Constructive Mathematics approach for NL formal grammars
 
Use of ontologies in natural language processing
Use of ontologies in natural language processingUse of ontologies in natural language processing
Use of ontologies in natural language processing
 
Fuzzy sets
Fuzzy setsFuzzy sets
Fuzzy sets
 
Using ontology for natural language processing
Using ontology for natural language processingUsing ontology for natural language processing
Using ontology for natural language processing
 
Cross-lingual event-mining using wordnet as a shared knowledge interface
Cross-lingual event-mining using wordnet as a shared knowledge interfaceCross-lingual event-mining using wordnet as a shared knowledge interface
Cross-lingual event-mining using wordnet as a shared knowledge interface
 
Negation in the Ecumenical System
Negation in the Ecumenical SystemNegation in the Ecumenical System
Negation in the Ecumenical System
 
Er
ErEr
Er
 
A Combined Approach to Part-of-Speech Tagging Using Features Extraction and H...
A Combined Approach to Part-of-Speech Tagging Using Features Extraction and H...A Combined Approach to Part-of-Speech Tagging Using Features Extraction and H...
A Combined Approach to Part-of-Speech Tagging Using Features Extraction and H...
 
What is algorithm
What is algorithmWhat is algorithm
What is algorithm
 
Model-Driven Software Development with Semantic Web Technologies
Model-Driven Software Development with Semantic Web TechnologiesModel-Driven Software Development with Semantic Web Technologies
Model-Driven Software Development with Semantic Web Technologies
 
My presentation all shortestpath
My presentation all shortestpathMy presentation all shortestpath
My presentation all shortestpath
 
Categorical Explicit Substitutions
Categorical Explicit SubstitutionsCategorical Explicit Substitutions
Categorical Explicit Substitutions
 
Good survey.83 101
Good survey.83 101Good survey.83 101
Good survey.83 101
 

Similar to postersimbolos

Lecture 1-3-Logics-In-computer-science.pptx
Lecture 1-3-Logics-In-computer-science.pptxLecture 1-3-Logics-In-computer-science.pptx
Lecture 1-3-Logics-In-computer-science.pptxPriyalMayurManvar
 
A NATURAL LOGIC FOR ARTIFICIAL INTELLIGENCE, AND ITS RISKS AND BENEFITS
A NATURAL LOGIC FOR ARTIFICIAL INTELLIGENCE, AND ITS RISKS AND BENEFITSA NATURAL LOGIC FOR ARTIFICIAL INTELLIGENCE, AND ITS RISKS AND BENEFITS
A NATURAL LOGIC FOR ARTIFICIAL INTELLIGENCE, AND ITS RISKS AND BENEFITSijasuc
 
A NATURAL LOGIC FOR ARTIFICIAL INTELLIGENCE, AND ITS RISKS AND BENEFITS
A NATURAL LOGIC FOR ARTIFICIAL INTELLIGENCE, AND ITS RISKS AND BENEFITSA NATURAL LOGIC FOR ARTIFICIAL INTELLIGENCE, AND ITS RISKS AND BENEFITS
A NATURAL LOGIC FOR ARTIFICIAL INTELLIGENCE, AND ITS RISKS AND BENEFITSijwscjournal
 
Semantics and Computational Semantics
Semantics and Computational SemanticsSemantics and Computational Semantics
Semantics and Computational SemanticsMarina Santini
 
Artificial intelligence and first order logic
Artificial intelligence and first order logicArtificial intelligence and first order logic
Artificial intelligence and first order logicparsa rafiq
 
AI3391 Artificial intelligence Unit IV Notes _ merged.pdf
AI3391 Artificial intelligence Unit IV Notes _ merged.pdfAI3391 Artificial intelligence Unit IV Notes _ merged.pdf
AI3391 Artificial intelligence Unit IV Notes _ merged.pdfAsst.prof M.Gokilavani
 
IDENTIFYING THE SEMANTIC RELATIONS ON UNSTRUCTURED DATA
IDENTIFYING THE SEMANTIC RELATIONS ON UNSTRUCTURED DATAIDENTIFYING THE SEMANTIC RELATIONS ON UNSTRUCTURED DATA
IDENTIFYING THE SEMANTIC RELATIONS ON UNSTRUCTURED DATAijistjournal
 
Identifying the semantic relations on
Identifying the semantic relations onIdentifying the semantic relations on
Identifying the semantic relations onijistjournal
 
Language Combinatorics: A Sentence Pattern Extraction Architecture Based on C...
Language Combinatorics: A Sentence Pattern Extraction Architecture Based on C...Language Combinatorics: A Sentence Pattern Extraction Architecture Based on C...
Language Combinatorics: A Sentence Pattern Extraction Architecture Based on C...Waqas Tariq
 
ONTOLOGICAL MODEL FOR CHARACTER RECOGNITION BASED ON SPATIAL RELATIONS
ONTOLOGICAL MODEL FOR CHARACTER RECOGNITION BASED ON SPATIAL RELATIONSONTOLOGICAL MODEL FOR CHARACTER RECOGNITION BASED ON SPATIAL RELATIONS
ONTOLOGICAL MODEL FOR CHARACTER RECOGNITION BASED ON SPATIAL RELATIONSsipij
 
Extracting Knowledge from Pydata London 2015
Extracting Knowledge from Pydata London 2015Extracting Knowledge from Pydata London 2015
Extracting Knowledge from Pydata London 2015Armando Vieira
 
Marcelo Funes-Gallanzi - Simplish - Computational intelligence unconference
Marcelo Funes-Gallanzi - Simplish - Computational intelligence unconferenceMarcelo Funes-Gallanzi - Simplish - Computational intelligence unconference
Marcelo Funes-Gallanzi - Simplish - Computational intelligence unconferenceDaniel Lewis
 
An-Exploration-of-scientific-literature-using-Natural-Language-Processing
An-Exploration-of-scientific-literature-using-Natural-Language-ProcessingAn-Exploration-of-scientific-literature-using-Natural-Language-Processing
An-Exploration-of-scientific-literature-using-Natural-Language-ProcessingTheodore J. LaGrow
 
Lri Owl And Ontologies 04 04
Lri Owl And Ontologies 04 04Lri Owl And Ontologies 04 04
Lri Owl And Ontologies 04 04Rinke Hoekstra
 
Arágon et all english grammar in context for academic and professional purp...
Arágon et all   english grammar in context for academic and professional purp...Arágon et all   english grammar in context for academic and professional purp...
Arágon et all english grammar in context for academic and professional purp...Telma Ventura
 

Similar to postersimbolos (20)

Lecture 1-3-Logics-In-computer-science.pptx
Lecture 1-3-Logics-In-computer-science.pptxLecture 1-3-Logics-In-computer-science.pptx
Lecture 1-3-Logics-In-computer-science.pptx
 
A NATURAL LOGIC FOR ARTIFICIAL INTELLIGENCE, AND ITS RISKS AND BENEFITS
A NATURAL LOGIC FOR ARTIFICIAL INTELLIGENCE, AND ITS RISKS AND BENEFITSA NATURAL LOGIC FOR ARTIFICIAL INTELLIGENCE, AND ITS RISKS AND BENEFITS
A NATURAL LOGIC FOR ARTIFICIAL INTELLIGENCE, AND ITS RISKS AND BENEFITS
 
A NATURAL LOGIC FOR ARTIFICIAL INTELLIGENCE, AND ITS RISKS AND BENEFITS
A NATURAL LOGIC FOR ARTIFICIAL INTELLIGENCE, AND ITS RISKS AND BENEFITSA NATURAL LOGIC FOR ARTIFICIAL INTELLIGENCE, AND ITS RISKS AND BENEFITS
A NATURAL LOGIC FOR ARTIFICIAL INTELLIGENCE, AND ITS RISKS AND BENEFITS
 
Semantics and Computational Semantics
Semantics and Computational SemanticsSemantics and Computational Semantics
Semantics and Computational Semantics
 
AI Lab Manual.docx
AI Lab Manual.docxAI Lab Manual.docx
AI Lab Manual.docx
 
Artificial intelligence and first order logic
Artificial intelligence and first order logicArtificial intelligence and first order logic
Artificial intelligence and first order logic
 
Swedish
SwedishSwedish
Swedish
 
AI3391 Artificial intelligence Unit IV Notes _ merged.pdf
AI3391 Artificial intelligence Unit IV Notes _ merged.pdfAI3391 Artificial intelligence Unit IV Notes _ merged.pdf
AI3391 Artificial intelligence Unit IV Notes _ merged.pdf
 
IDENTIFYING THE SEMANTIC RELATIONS ON UNSTRUCTURED DATA
IDENTIFYING THE SEMANTIC RELATIONS ON UNSTRUCTURED DATAIDENTIFYING THE SEMANTIC RELATIONS ON UNSTRUCTURED DATA
IDENTIFYING THE SEMANTIC RELATIONS ON UNSTRUCTURED DATA
 
Identifying the semantic relations on
Identifying the semantic relations onIdentifying the semantic relations on
Identifying the semantic relations on
 
Language Combinatorics: A Sentence Pattern Extraction Architecture Based on C...
Language Combinatorics: A Sentence Pattern Extraction Architecture Based on C...Language Combinatorics: A Sentence Pattern Extraction Architecture Based on C...
Language Combinatorics: A Sentence Pattern Extraction Architecture Based on C...
 
ONTOLOGICAL MODEL FOR CHARACTER RECOGNITION BASED ON SPATIAL RELATIONS
ONTOLOGICAL MODEL FOR CHARACTER RECOGNITION BASED ON SPATIAL RELATIONSONTOLOGICAL MODEL FOR CHARACTER RECOGNITION BASED ON SPATIAL RELATIONS
ONTOLOGICAL MODEL FOR CHARACTER RECOGNITION BASED ON SPATIAL RELATIONS
 
Extracting Knowledge from Pydata London 2015
Extracting Knowledge from Pydata London 2015Extracting Knowledge from Pydata London 2015
Extracting Knowledge from Pydata London 2015
 
Marcelo Funes-Gallanzi - Simplish - Computational intelligence unconference
Marcelo Funes-Gallanzi - Simplish - Computational intelligence unconferenceMarcelo Funes-Gallanzi - Simplish - Computational intelligence unconference
Marcelo Funes-Gallanzi - Simplish - Computational intelligence unconference
 
An-Exploration-of-scientific-literature-using-Natural-Language-Processing
An-Exploration-of-scientific-literature-using-Natural-Language-ProcessingAn-Exploration-of-scientific-literature-using-Natural-Language-Processing
An-Exploration-of-scientific-literature-using-Natural-Language-Processing
 
Lri Owl And Ontologies 04 04
Lri Owl And Ontologies 04 04Lri Owl And Ontologies 04 04
Lri Owl And Ontologies 04 04
 
Arágon et all english grammar in context for academic and professional purp...
Arágon et all   english grammar in context for academic and professional purp...Arágon et all   english grammar in context for academic and professional purp...
Arágon et all english grammar in context for academic and professional purp...
 
Fol
FolFol
Fol
 
Computer Science Research Methodologies
Computer Science Research MethodologiesComputer Science Research Methodologies
Computer Science Research Methodologies
 
English grammar in context
English grammar in contextEnglish grammar in context
English grammar in context
 

More from Apostolos Syropoulos

A Presentation of Braga. It was made by students of school
A Presentation of Braga. It was made by students of schoolA Presentation of Braga. It was made by students of school
A Presentation of Braga. It was made by students of schoolApostolos Syropoulos
 
A short presentation of Italy made by students of a school in Cosimo, Sicily,...
A short presentation of Italy made by students of a school in Cosimo, Sicily,...A short presentation of Italy made by students of a school in Cosimo, Sicily,...
A short presentation of Italy made by students of a school in Cosimo, Sicily,...Apostolos Syropoulos
 
Social Media Algorithms - Part of the "Computers in out Life" Erasmus+ Project
Social Media Algorithms - Part of the "Computers in out Life" Erasmus+ ProjectSocial Media Algorithms - Part of the "Computers in out Life" Erasmus+ Project
Social Media Algorithms - Part of the "Computers in out Life" Erasmus+ ProjectApostolos Syropoulos
 
A gentle introduction to Artificial Intelligence
A gentle introduction to Artificial IntelligenceA gentle introduction to Artificial Intelligence
A gentle introduction to Artificial IntelligenceApostolos Syropoulos
 
ΑΡΧΟΝΤΙΚΟ ΠΑΜΟΥΚΤΣΟΓΛΟΥ - Pamouktsoglu Mansion
ΑΡΧΟΝΤΙΚΟ ΠΑΜΟΥΚΤΣΟΓΛΟΥ - Pamouktsoglu MansionΑΡΧΟΝΤΙΚΟ ΠΑΜΟΥΚΤΣΟΓΛΟΥ - Pamouktsoglu Mansion
ΑΡΧΟΝΤΙΚΟ ΠΑΜΟΥΚΤΣΟΓΛΟΥ - Pamouktsoglu MansionApostolos Syropoulos
 
Το Ορφανοτροφείο Θηλέων Ξάνθης
Το Ορφανοτροφείο Θηλέων ΞάνθηςΤο Ορφανοτροφείο Θηλέων Ξάνθης
Το Ορφανοτροφείο Θηλέων ΞάνθηςApostolos Syropoulos
 
Το Αρχαιολογικό Μουσείο Αβδήρων
Το Αρχαιολογικό Μουσείο ΑβδήρωνΤο Αρχαιολογικό Μουσείο Αβδήρων
Το Αρχαιολογικό Μουσείο ΑβδήρωνApostolos Syropoulos
 
Ταφικά έθιμα στα αρχαία Άβδηρα
Ταφικά έθιμα στα αρχαία ΆβδηραΤαφικά έθιμα στα αρχαία Άβδηρα
Ταφικά έθιμα στα αρχαία ΆβδηραApostolos Syropoulos
 
Το ορφανοτροφείο της Ξάνθης
Το ορφανοτροφείο της ΞάνθηςΤο ορφανοτροφείο της Ξάνθης
Το ορφανοτροφείο της ΞάνθηςApostolos Syropoulos
 
Μικρασιατική κατατστροφή - Μέρος 3
Μικρασιατική κατατστροφή - Μέρος 3Μικρασιατική κατατστροφή - Μέρος 3
Μικρασιατική κατατστροφή - Μέρος 3Apostolos Syropoulos
 
Μικρασιατική κατατστροφή - Μέρος 2
Μικρασιατική κατατστροφή - Μέρος 2Μικρασιατική κατατστροφή - Μέρος 2
Μικρασιατική κατατστροφή - Μέρος 2Apostolos Syropoulos
 
Αφιέρωμα στη Μικρά Ασία
Αφιέρωμα στη Μικρά ΑσίαΑφιέρωμα στη Μικρά Ασία
Αφιέρωμα στη Μικρά ΑσίαApostolos Syropoulos
 
ΕΚΠΑΙΔΕΥΤΙΚΗ ΔΡΑΣΗ «ΙΧΝΙΛΑΤΩΝΤΑΣ ΤΟ ΠΑΡΕΛΘΟΝ ΤΟΥ ΤΟΠΟΥ ΜΑΣ».pptx
ΕΚΠΑΙΔΕΥΤΙΚΗ ΔΡΑΣΗ «ΙΧΝΙΛΑΤΩΝΤΑΣ ΤΟ ΠΑΡΕΛΘΟΝ ΤΟΥ ΤΟΠΟΥ ΜΑΣ».pptxΕΚΠΑΙΔΕΥΤΙΚΗ ΔΡΑΣΗ «ΙΧΝΙΛΑΤΩΝΤΑΣ ΤΟ ΠΑΡΕΛΘΟΝ ΤΟΥ ΤΟΠΟΥ ΜΑΣ».pptx
ΕΚΠΑΙΔΕΥΤΙΚΗ ΔΡΑΣΗ «ΙΧΝΙΛΑΤΩΝΤΑΣ ΤΟ ΠΑΡΕΛΘΟΝ ΤΟΥ ΤΟΠΟΥ ΜΑΣ».pptxApostolos Syropoulos
 
Συγγραφή μαθηματικού κειμένου με χρήση του XeLaTeX (Writing mathematical tex...
Συγγραφή μαθηματικού κειμένου με χρήση του XeLaTeX (Writing  mathematical tex...Συγγραφή μαθηματικού κειμένου με χρήση του XeLaTeX (Writing  mathematical tex...
Συγγραφή μαθηματικού κειμένου με χρήση του XeLaTeX (Writing mathematical tex...Apostolos Syropoulos
 
Inflected Forms of Nouns and Adjectives
Inflected Forms of Nouns and AdjectivesInflected Forms of Nouns and Adjectives
Inflected Forms of Nouns and AdjectivesApostolos Syropoulos
 
Computational Thinking and...the Greek Alphabet
Computational Thinking and...the Greek AlphabetComputational Thinking and...the Greek Alphabet
Computational Thinking and...the Greek AlphabetApostolos Syropoulos
 
Το Αποτύπωμα του 1821 στον Τόπο μου
Το Αποτύπωμα του 1821 στον Τόπο μουΤο Αποτύπωμα του 1821 στον Τόπο μου
Το Αποτύπωμα του 1821 στον Τόπο μουApostolos Syropoulos
 
Παγκόσμια ημέρα της σταθεράς π=3,14...
Παγκόσμια ημέρα της σταθεράς π=3,14...Παγκόσμια ημέρα της σταθεράς π=3,14...
Παγκόσμια ημέρα της σταθεράς π=3,14...Apostolos Syropoulos
 

More from Apostolos Syropoulos (20)

A Presentation of Braga. It was made by students of school
A Presentation of Braga. It was made by students of schoolA Presentation of Braga. It was made by students of school
A Presentation of Braga. It was made by students of school
 
A short presentation of Italy made by students of a school in Cosimo, Sicily,...
A short presentation of Italy made by students of a school in Cosimo, Sicily,...A short presentation of Italy made by students of a school in Cosimo, Sicily,...
A short presentation of Italy made by students of a school in Cosimo, Sicily,...
 
Social Media Algorithms - Part of the "Computers in out Life" Erasmus+ Project
Social Media Algorithms - Part of the "Computers in out Life" Erasmus+ ProjectSocial Media Algorithms - Part of the "Computers in out Life" Erasmus+ Project
Social Media Algorithms - Part of the "Computers in out Life" Erasmus+ Project
 
A gentle introduction to Artificial Intelligence
A gentle introduction to Artificial IntelligenceA gentle introduction to Artificial Intelligence
A gentle introduction to Artificial Intelligence
 
ΑΡΧΟΝΤΙΚΟ ΠΑΜΟΥΚΤΣΟΓΛΟΥ - Pamouktsoglu Mansion
ΑΡΧΟΝΤΙΚΟ ΠΑΜΟΥΚΤΣΟΓΛΟΥ - Pamouktsoglu MansionΑΡΧΟΝΤΙΚΟ ΠΑΜΟΥΚΤΣΟΓΛΟΥ - Pamouktsoglu Mansion
ΑΡΧΟΝΤΙΚΟ ΠΑΜΟΥΚΤΣΟΓΛΟΥ - Pamouktsoglu Mansion
 
Το Ορφανοτροφείο Θηλέων Ξάνθης
Το Ορφανοτροφείο Θηλέων ΞάνθηςΤο Ορφανοτροφείο Θηλέων Ξάνθης
Το Ορφανοτροφείο Θηλέων Ξάνθης
 
Το Αρχαιολογικό Μουσείο Αβδήρων
Το Αρχαιολογικό Μουσείο ΑβδήρωνΤο Αρχαιολογικό Μουσείο Αβδήρων
Το Αρχαιολογικό Μουσείο Αβδήρων
 
Ταφικά έθιμα στα αρχαία Άβδηρα
Ταφικά έθιμα στα αρχαία ΆβδηραΤαφικά έθιμα στα αρχαία Άβδηρα
Ταφικά έθιμα στα αρχαία Άβδηρα
 
Το ορφανοτροφείο της Ξάνθης
Το ορφανοτροφείο της ΞάνθηςΤο ορφανοτροφείο της Ξάνθης
Το ορφανοτροφείο της Ξάνθης
 
Μικρασιατική κατατστροφή - Μέρος 3
Μικρασιατική κατατστροφή - Μέρος 3Μικρασιατική κατατστροφή - Μέρος 3
Μικρασιατική κατατστροφή - Μέρος 3
 
Μικρασιατική κατατστροφή - Μέρος 2
Μικρασιατική κατατστροφή - Μέρος 2Μικρασιατική κατατστροφή - Μέρος 2
Μικρασιατική κατατστροφή - Μέρος 2
 
Αφιέρωμα στη Μικρά Ασία
Αφιέρωμα στη Μικρά ΑσίαΑφιέρωμα στη Μικρά Ασία
Αφιέρωμα στη Μικρά Ασία
 
ΕΚΠΑΙΔΕΥΤΙΚΗ ΔΡΑΣΗ «ΙΧΝΙΛΑΤΩΝΤΑΣ ΤΟ ΠΑΡΕΛΘΟΝ ΤΟΥ ΤΟΠΟΥ ΜΑΣ».pptx
ΕΚΠΑΙΔΕΥΤΙΚΗ ΔΡΑΣΗ «ΙΧΝΙΛΑΤΩΝΤΑΣ ΤΟ ΠΑΡΕΛΘΟΝ ΤΟΥ ΤΟΠΟΥ ΜΑΣ».pptxΕΚΠΑΙΔΕΥΤΙΚΗ ΔΡΑΣΗ «ΙΧΝΙΛΑΤΩΝΤΑΣ ΤΟ ΠΑΡΕΛΘΟΝ ΤΟΥ ΤΟΠΟΥ ΜΑΣ».pptx
ΕΚΠΑΙΔΕΥΤΙΚΗ ΔΡΑΣΗ «ΙΧΝΙΛΑΤΩΝΤΑΣ ΤΟ ΠΑΡΕΛΘΟΝ ΤΟΥ ΤΟΠΟΥ ΜΑΣ».pptx
 
How to Convert Units of Measure
How to Convert Units of MeasureHow to Convert Units of Measure
How to Convert Units of Measure
 
Συγγραφή μαθηματικού κειμένου με χρήση του XeLaTeX (Writing mathematical tex...
Συγγραφή μαθηματικού κειμένου με χρήση του XeLaTeX (Writing  mathematical tex...Συγγραφή μαθηματικού κειμένου με χρήση του XeLaTeX (Writing  mathematical tex...
Συγγραφή μαθηματικού κειμένου με χρήση του XeLaTeX (Writing mathematical tex...
 
Inflected Forms of Nouns and Adjectives
Inflected Forms of Nouns and AdjectivesInflected Forms of Nouns and Adjectives
Inflected Forms of Nouns and Adjectives
 
Learning Simple Phrases in Greek
Learning Simple Phrases in GreekLearning Simple Phrases in Greek
Learning Simple Phrases in Greek
 
Computational Thinking and...the Greek Alphabet
Computational Thinking and...the Greek AlphabetComputational Thinking and...the Greek Alphabet
Computational Thinking and...the Greek Alphabet
 
Το Αποτύπωμα του 1821 στον Τόπο μου
Το Αποτύπωμα του 1821 στον Τόπο μουΤο Αποτύπωμα του 1821 στον Τόπο μου
Το Αποτύπωμα του 1821 στον Τόπο μου
 
Παγκόσμια ημέρα της σταθεράς π=3,14...
Παγκόσμια ημέρα της σταθεράς π=3,14...Παγκόσμια ημέρα της σταθεράς π=3,14...
Παγκόσμια ημέρα της σταθεράς π=3,14...
 

postersimbolos

  • 1. New ideograms for physics Pablo García-Risueño 1 , Apostolos Syropoulos 2 , Natàlia Vergés 3 1) Humboldt-Universität zu Berlin, Zum großen Windkanal 6, 12489 Berlin, Germany; risueno@physik.hu-berlin.de 2) Independent scholar, Xanthi, Greece; asyropoulos@yahoo.com 3) Ars Didactica, C/ Major 2, Besalú, 17850 Girona, Spain. Abstract Ideograms (symbols that represent a word or idea) have a great communicative value. They refer to concepts in a simple manner, thus making it easier the understanding of complex ideas where such concepts appear. In addition, ideograms simplify the notation, which is often cumbersome for equations at the field of physics. We propose ideograms for essential concepts of physics, like electron, photon or phonon. They are designed to be intuitive, and their goal is to make the reading of equations more comfortable. Our symbols are included in a publicly available LATEX package. The usefulness of ideograms Ideograms are present in communication codes that we use daily. Examples of ideograms are the digits 0, 1,. . . , 9, mathematical symbols (like +, −, %, ·, ×, √, ∈), emoticons, traffic signs or commercial logos. Symbols that represent a word are present in English (e.g., think of @, $ or &) and are ubiquitous in other languages with many speakers, like Chinese, Korean, and Japanese. Ideograms present several advantages with respect to words written using an alphabet. Ideograms imply a better and faster comprehension [1], while concepts represented with ideograms are better identified and recalled [2]. When reading a word written in an aplhabet, we need to make up the sequence of sounds that corresponds to it; however, with an ideogram the meaning can be directly understood. An example of the superiority of ideograms is that the human mind identifies a concept like “hand” on a cartoon of a hand more quickly than on a photograph of it [3]. The advantage of ideograms can be gauged by merely comparing the ease of reading numbers (1, 2, 3,. . . ) vs. their written names (one, two, three,. . . ) [4]. The features of ideograms are also illustrated by the surprising fact that there exist people with neurological injuries who cannot read texts written with phonetic signs, but can do it if the text is written with ideograms [5]. The reasons just described encouraged us to develop ideograms for basic concepts of physics. Despite the close link between mathematics and physics, ideograms are ubiquitous in mathematics, but shyly used in physics. In particle physics some symbols are traditionally used, but to the best of our knowledge they were not included in a LATEX package to date. Equations of physics are often very complex and thus demand very heavy notation. With these ideograms we hope to make equations easier to understand, as well as more elegant. Our ideograms are designed to be intuitive, easy to identify and to remember. To ease their identification, some of our designs contain the initial letter of the word that they represent. Since it is a LATEX tradition to use the Computer Modern fonts, we have based our designs on these fonts, nevertheless, these symbols should be usable with any other mathematics font. The ideograms that we propose are included into the svrsymbols LATEX package that can be downloaded from www.ctan.org/tex-archive/fonts/ svrsymbols. List of proposed new symbols The list of ideograms includes, among others, these characters: Experimental v Error q Method A Assumption u Reference l Spin (down) o (Z) Orbit B Fermion c Photon b, L Electron a Proton d Neutron g Hole h Phonon j Exciton i Polaron k Plasmon p Solid t Graphene s Atom C Nucleus e Ion f Surface z Water r Positron m Antiproton n Antineutron y (Anti)quark O (E) Up (anti)quark U (K) Down (anti)quark R (H) Top (anti)quark T (J) Bottom (anti)quark P (F) Charm (anti)quark Q (G) Strange (anti)quark S (I) (Anti)muon x (w) (Anti)neutrino N (M) We welcome suggestions for additional new symbols. References [1] A. P. Shinamura, The American Journal of Psychology 100, 15 (1987). [2] S. Park and T. Y. Arbuckle, Journal of Experimental Psychology: Human Learning and Memory 3(6), 631 (1977). [5] T. A. Ryan and C. B. Schwartz, American Journal of Psychology 96, 66 (1956). [4] B. D. and M. Coltheart, Neuropsychologia 17, 467 (1979). [5] S. Sasanuma, Brain and Language 2, 369 (1975).