Molto lavoro per negare il modello, ora si inizia con LaTeX perché altrimenti non finiamo
This commit is contained in:
+278
@@ -2,3 +2,281 @@
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Funzioni\ matlab.txt
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prova*
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test*
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## Core latex/pdflatex auxiliary files:
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||||
*.aux
|
||||
*.lof
|
||||
*.log
|
||||
*.lot
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||||
*.fls
|
||||
*.out
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||||
*.toc
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||||
*.fmt
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||||
*.fot
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||||
*.cb
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||||
*.cb2
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||||
.*.lb
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||||
|
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## Intermediate documents:
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||||
*.dvi
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||||
*.xdv
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||||
*-converted-to.*
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||||
|
||||
## Bibliography auxiliary files (bibtex/biblatex/biber):
|
||||
*.bbl
|
||||
*.bcf
|
||||
*.blg
|
||||
*-blx.aux
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||||
*-blx.bib
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||||
*.run.xml
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||||
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## Build tool auxiliary files:
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||||
*.fdb_latexmk
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*.synctex
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*.synctex(busy)
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*.synctex.gz
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*.synctex.gz(busy)
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*.pdfsync
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||||
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||||
## Build tool directories for auxiliary files
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# latexrun
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latex.out/
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## Auxiliary and intermediate files from other packages:
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# algorithms
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*.alg
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*.loa
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# achemso
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acs-*.bib
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# amsthm
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*.thm
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# beamer
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*.nav
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||||
*.pre
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||||
*.snm
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*.vrb
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# changes
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*.soc
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||||
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# comment
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*.cut
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# cprotect
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*.cpt
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# elsarticle (documentclass of Elsevier journals)
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*.spl
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# endnotes
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*.ent
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||||
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# fixme
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||||
*.lox
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||||
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# feynmf/feynmp
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*.mf
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*.mp
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*.t[1-9]
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*.t[1-9][0-9]
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*.tfm
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||||
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#(r)(e)ledmac/(r)(e)ledpar
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*.end
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*.?end
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*.[1-9]
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*.[1-9][0-9]
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*.[1-9][0-9][0-9]
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||||
*.[1-9]R
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||||
*.[1-9][0-9]R
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*.[1-9][0-9][0-9]R
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*.eledsec[1-9]
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*.eledsec[1-9]R
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*.eledsec[1-9][0-9]
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*.eledsec[1-9][0-9]R
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*.eledsec[1-9][0-9][0-9]
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*.eledsec[1-9][0-9][0-9]R
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# glossaries
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*.acn
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*.acr
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*.glg
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*.glo
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*.gls
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*.glsdefs
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*.lzo
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*.lzs
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# uncomment this for glossaries-extra (will ignore makeindex's style files!)
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# *.ist
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# gnuplottex
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*-gnuplottex-*
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|
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# gregoriotex
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*.gaux
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||||
*.glog
|
||||
*.gtex
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||||
|
||||
# htlatex
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||||
*.4ct
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||||
*.4tc
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||||
*.idv
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||||
*.lg
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||||
*.trc
|
||||
*.xref
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||||
|
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# hyperref
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*.brf
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# knitr
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*-concordance.tex
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# TODO Uncomment the next line if you use knitr and want to ignore its generated tikz files
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# *.tikz
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*-tikzDictionary
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|
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# listings
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||||
*.lol
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||||
|
||||
# luatexja-ruby
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||||
*.ltjruby
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||||
|
||||
# makeidx
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||||
*.idx
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||||
*.ilg
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||||
*.ind
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||||
|
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# minitoc
|
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*.maf
|
||||
*.mlf
|
||||
*.mlt
|
||||
*.mtc[0-9]*
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||||
*.slf[0-9]*
|
||||
*.slt[0-9]*
|
||||
*.stc[0-9]*
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||||
|
||||
# minted
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||||
_minted*
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*.pyg
|
||||
|
||||
# morewrites
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*.mw
|
||||
|
||||
# newpax
|
||||
*.newpax
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||||
|
||||
# nomencl
|
||||
*.nlg
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||||
*.nlo
|
||||
*.nls
|
||||
|
||||
# pax
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||||
*.pax
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||||
|
||||
# pdfpcnotes
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||||
*.pdfpc
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||||
|
||||
# sagetex
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||||
*.sagetex.sage
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||||
*.sagetex.py
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||||
*.sagetex.scmd
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||||
|
||||
# scrwfile
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*.wrt
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||||
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# sympy
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*.sout
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*.sympy
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sympy-plots-for-*.tex/
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# pdfcomment
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||||
*.upa
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*.upb
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|
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# pythontex
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*.pytxcode
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pythontex-files-*/
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# tcolorbox
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*.listing
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||||
|
||||
# thmtools
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*.loe
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||||
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# TikZ & PGF
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||||
*.dpth
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*.md5
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*.auxlock
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# todonotes
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*.tdo
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# vhistory
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*.hst
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*.ver
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||||
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# easy-todo
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*.lod
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# xcolor
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*.xcp
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# xmpincl
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||||
*.xmpi
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# xindy
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*.xdy
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# xypic precompiled matrices and outlines
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*.xyc
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*.xyd
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||||
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# endfloat
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*.ttt
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*.fff
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||||
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# Latexian
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TSWLatexianTemp*
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||||
|
||||
## Editors:
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||||
# WinEdt
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*.bak
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*.sav
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||||
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||||
# Texpad
|
||||
.texpadtmp
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||||
|
||||
# LyX
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*.lyx~
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# Kile
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*.backup
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# gummi
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||||
.*.swp
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# KBibTeX
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*~[0-9]*
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||||
# TeXnicCenter
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||||
*.tps
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||||
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||||
# auto folder when using emacs and auctex
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||||
./auto/*
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||||
*.el
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||||
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# expex forward references with \gathertags
|
||||
*-tags.tex
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||||
|
||||
# standalone packages
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||||
*.sta
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||||
|
||||
# Makeindex log files
|
||||
*.lpz
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||||
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||||
# xwatermark package
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||||
*.xwm
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@@ -8,7 +8,7 @@
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"## Valori statici (calibro)\n",
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"N = 10\n",
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"\n",
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"A = 23.97 +- 0.16 "
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"A = 23.98765 ± 0.18498"
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]
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},
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{
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@@ -19,7 +19,7 @@
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"## Valori statici (sonar)\n",
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"N = 6\n",
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"\n",
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"A = 23.46 +- 0.23\n"
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"A = 23.41058 ± 0.22237"
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]
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},
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{
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@@ -30,12 +30,12 @@
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"## Valori dinamici (sonar)\n",
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"N = 4\n",
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"\n",
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"K nostro: 24.35 +- 0.25\n"
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"KC= 24.3546921 ± 0.03539\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": 1,
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"id": "b349ba73",
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"metadata": {},
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"outputs": [],
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@@ -46,7 +46,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"execution_count": 2,
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"id": "a68eb302",
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"metadata": {},
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"outputs": [
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@@ -54,22 +54,22 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"t = 1.751\n",
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"p-value (two-tailed) = 10.1827 %\n"
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"t = 1.951\n",
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"p-value (two-tailed) = 7.1395 %\n"
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]
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}
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],
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"source": [
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"# Valori statici (calibro)\n",
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"Nd = 10\n",
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"Ad = 23.97\n",
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"uAd = 0.16 * 3\n",
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"Ad = 24.00\n",
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"uAd = 0.18 * 3\n",
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"\n",
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"\n",
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"#Valori statici (sonar)\n",
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"Ns = 6\n",
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"As = 23.46\n",
|
||||
"uAs = 0.23 * 3\n",
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"As = 23.41\n",
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"uAs = 0.22 * 3\n",
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"\n",
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"#Nomi coerenti con Cannelli\n",
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"GdL = Nd + Ns - 2\n",
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@@ -88,7 +88,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"execution_count": 6,
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"id": "2746d086",
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"metadata": {},
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||||
"outputs": [
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@@ -96,21 +96,21 @@
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"name": "stdout",
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||||
"output_type": "stream",
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"text": [
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"t = -1.147\n",
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"p-value (two-tailed) = 27.3612 %\n"
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"t = -0.972\n",
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"p-value (two-tailed) = 35.0452 %\n"
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||||
]
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||||
}
|
||||
],
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||||
"source": [
|
||||
"# Valori statici (calibro)\n",
|
||||
"Nd = 10\n",
|
||||
"Ad = 23.97\n",
|
||||
"uAd = 0.16 * 3\n",
|
||||
"Ad = 24.00\n",
|
||||
"uAd = 0.18 *3\n",
|
||||
"\n",
|
||||
"#Valori dinamici (sonar)\n",
|
||||
"Ns = 4\n",
|
||||
"As = 24.35\n",
|
||||
"uAs = 0.25 * 3\n",
|
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"uAs = 0.26 *3\n",
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"\n",
|
||||
"#Nomi coerenti con Cannelli\n",
|
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"GdL = Nd + Ns - 2\n",
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@@ -129,7 +129,7 @@
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},
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||||
{
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||||
"cell_type": "code",
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"execution_count": 13,
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||||
"execution_count": 4,
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||||
"id": "be0c6cc6",
|
||||
"metadata": {},
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||||
"outputs": [
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@@ -137,21 +137,21 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"t = -1.934\n",
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"p-value (two-tailed) = 8.9234 %\n"
|
||||
"t = -2.775\n",
|
||||
"p-value (two-tailed) = 2.4092 %\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# Valori statici (sonar)\n",
|
||||
"Nd = 6\n",
|
||||
"Ad = 23.46\n",
|
||||
"uAd = 0.23 * 3\n",
|
||||
"Ad = 23.41\n",
|
||||
"uAd = 0.22 * 3\n",
|
||||
"\n",
|
||||
"#Valori dinamici (sonar)\n",
|
||||
"Ns = 4\n",
|
||||
"As = 24.35\n",
|
||||
"uAs = 0.25 * 3\n",
|
||||
"uAs = 0.03 * 3\n",
|
||||
"\n",
|
||||
"#Nomi coerenti con Cannelli\n",
|
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"GdL = Nd + Ns - 2\n",
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+100
-22
@@ -2,29 +2,25 @@
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"cells": [
|
||||
{
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||||
"cell_type": "markdown",
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||||
"id": "ba4e56bc",
|
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"id": "3b66972b",
|
||||
"metadata": {},
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||||
"source": [
|
||||
"## Valori dinamici\n",
|
||||
"N = 10\n",
|
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"# Molla statica 1 Calibro\n",
|
||||
"Ac = 3.20021 ± 0.00923\n",
|
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"\n",
|
||||
"A = 3.21951 +- 0.00470 "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "aaf30c1f",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Valori statici\n",
|
||||
"N = 6\n",
|
||||
"# Molla statica 1 Sonar\n",
|
||||
"Ac = 3.21962 ± 0.00633\n",
|
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"\n",
|
||||
"A = 3.2002 +- 0.0092\n"
|
||||
"# Molla dinamica 1 Sonar\n",
|
||||
"KdC = 3.2792872 ± 0.00924\n",
|
||||
"\n",
|
||||
"# Molla dinamica 1 Cronometro\n",
|
||||
"KdtC = 3.66092 ± 0.10078\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"execution_count": 2,
|
||||
"id": "b349ba73",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
@@ -35,7 +31,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 12,
|
||||
"execution_count": 3,
|
||||
"id": "a68eb302",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -43,21 +39,103 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"t = 5.774\n",
|
||||
"p-value (two-tailed) = 0.0048 %\n"
|
||||
"t = 3.807\n",
|
||||
"p-value (two-tailed) = 0.1924 %\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# Valori dimanici (sonar)\n",
|
||||
"# Valori statici (sonar)\n",
|
||||
"Nd = 10\n",
|
||||
"Ad = 3.220\n",
|
||||
"uAd = 0.005\n",
|
||||
"Ad = 3.220\n",
|
||||
"uAd = 0.006\n",
|
||||
"\n",
|
||||
"#Valori statici (calibro)\n",
|
||||
"Ns = 6\n",
|
||||
"As = 3.200\n",
|
||||
"uAs = 0.009\n",
|
||||
"uAs = 0.015\n",
|
||||
"\n",
|
||||
"#Nomi coerenti con Cannelli\n",
|
||||
"GdL = Nd + Ns - 2\n",
|
||||
"\n",
|
||||
"s2 = ( (Nd - 1) * uAd**2 + (Ns - 1) * uAs**2 ) / GdL\n",
|
||||
"\n",
|
||||
"sigma2 = ( s2 / Nd ) + ( s2 / Ns )\n",
|
||||
"\n",
|
||||
"t = ( Ad - As ) / np.sqrt( sigma2 )\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"p_value = 2 * (1 - student_t.cdf(abs(t), df=GdL))\n",
|
||||
"print(f\"t = {t:.3f}\")\n",
|
||||
"print(f\"p-value (two-tailed) = {p_value * 100:.4f} %\")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"id": "459b7f56",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"t = -5.278\n",
|
||||
"p-value (two-tailed) = 0.0117 %\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# Valori statici (sonar)\n",
|
||||
"Nd = 10\n",
|
||||
"Ad = 3.220\n",
|
||||
"uAd = 0.006 * 3\n",
|
||||
"\n",
|
||||
"#Valori dinamici (sonar)\n",
|
||||
"Ns = 6\n",
|
||||
"As = 3.279\n",
|
||||
"uAs = 0.009 * 3\n",
|
||||
"\n",
|
||||
"#Nomi coerenti con Cannelli\n",
|
||||
"GdL = Nd + Ns - 2\n",
|
||||
"\n",
|
||||
"s2 = ( (Nd - 1) * uAd**2 + (Ns - 1) * uAs**2 ) / GdL\n",
|
||||
"\n",
|
||||
"sigma2 = ( s2 / Nd ) + ( s2 / Ns )\n",
|
||||
"\n",
|
||||
"t = ( Ad - As ) / np.sqrt( sigma2 )\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"p_value = 2 * (1 - student_t.cdf(abs(t), df=GdL))\n",
|
||||
"print(f\"t = {t:.3f}\")\n",
|
||||
"print(f\"p-value (two-tailed) = {p_value * 100:.4f} %\")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"id": "5d82905f",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"t = 0.701\n",
|
||||
"p-value (two-tailed) = 49.4616 %\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# Valori dinamici (sonar)\n",
|
||||
"Nd = 10\n",
|
||||
"Ad = 3.279\n",
|
||||
"uAd = 0.09 *3\n",
|
||||
"\n",
|
||||
"#Valori statici (calibro)\n",
|
||||
"Ns = 6\n",
|
||||
"As = 3.200\n",
|
||||
"uAs = 0.015 * 3\n",
|
||||
"\n",
|
||||
"#Nomi coerenti con Cannelli\n",
|
||||
"GdL = Nd + Ns - 2\n",
|
||||
|
||||
+105
-105
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@@ -18,7 +18,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 58,
|
||||
"execution_count": 20,
|
||||
"id": "f34c5b88",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
@@ -51,7 +51,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 59,
|
||||
"execution_count": 21,
|
||||
"id": "08efb2be",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
@@ -86,7 +86,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 60,
|
||||
"execution_count": 22,
|
||||
"id": "5494409f",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -215,7 +215,7 @@
|
||||
"4 168.53 0.002887 "
|
||||
]
|
||||
},
|
||||
"execution_count": 60,
|
||||
"execution_count": 22,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -226,7 +226,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 61,
|
||||
"execution_count": 23,
|
||||
"id": "976d5531",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -282,7 +282,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 62,
|
||||
"execution_count": 24,
|
||||
"id": "2ad19283",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -290,10 +290,10 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"[23.12238655 23.79957321 23.89802584 23.89480155 24.50322786 24.30058505\n",
|
||||
" 24.15933014 24.09836266 23.99026349 23.88530016]\n",
|
||||
"[0.22419984 0.16285763 0.10115386 0.15188559 0.31275403 0.14045171\n",
|
||||
" 0.2012065 0.36234381 0.31901124 0.61345112]\n"
|
||||
"[0.04459466 0.05636189 0.07164148 0.08906597 0.04476779 0.05643232\n",
|
||||
" 0.07206497 0.04463879 0.05651695 0.04482161]\n",
|
||||
"[0.08074652 0.11183321 0.10315038 0.2075251 0.10230673 0.09273618\n",
|
||||
" 0.20255041 0.12077527 0.21682558 0.21247745]\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -305,13 +305,13 @@
|
||||
"uK = np.sqrt((1/este)**2 * uF**2 + (F / este**2)**2 * ueste**2 )\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"print(K)\n",
|
||||
"print(uK)"
|
||||
"print(uF)\n",
|
||||
"print(ueste)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 63,
|
||||
"execution_count": 25,
|
||||
"id": "5f59d6c9",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -360,7 +360,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 64,
|
||||
"execution_count": 26,
|
||||
"id": "7e75ec05",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
@@ -387,7 +387,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 65,
|
||||
"execution_count": 27,
|
||||
"id": "aefe7756",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -400,8 +400,8 @@
|
||||
"Dep. Variable: y R-squared: 1.000\n",
|
||||
"Model: OLS Adj. R-squared: 1.000\n",
|
||||
"Method: Least Squares F-statistic: 2.238e+04\n",
|
||||
"Date: Sat, 04 Apr 2026 Prob (F-statistic): 4.46e-15\n",
|
||||
"Time: 19:37:55 Log-Likelihood: -27.238\n",
|
||||
"Date: Tue, 07 Apr 2026 Prob (F-statistic): 4.46e-15\n",
|
||||
"Time: 15:51:49 Log-Likelihood: -27.238\n",
|
||||
"No. Observations: 10 AIC: 58.48\n",
|
||||
"Df Residuals: 8 BIC: 59.08\n",
|
||||
"Df Model: 1 \n",
|
||||
@@ -449,7 +449,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 66,
|
||||
"execution_count": 28,
|
||||
"id": "1d42b009",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -515,7 +515,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 67,
|
||||
"execution_count": 29,
|
||||
"id": "986ff4a6",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -577,7 +577,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 68,
|
||||
"execution_count": 30,
|
||||
"id": "2d4b7144",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -653,7 +653,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 69,
|
||||
"execution_count": 31,
|
||||
"id": "e2407a04",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -722,7 +722,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 70,
|
||||
"execution_count": 32,
|
||||
"id": "32e9948f",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -785,7 +785,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 71,
|
||||
"execution_count": 33,
|
||||
"id": "bfb895c6",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -868,7 +868,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 72,
|
||||
"execution_count": 34,
|
||||
"id": "202de438",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -942,7 +942,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 73,
|
||||
"execution_count": 35,
|
||||
"id": "caf23dbe",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -1000,7 +1000,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 74,
|
||||
"execution_count": 36,
|
||||
"id": "8f5c8bb7",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -1010,8 +1010,8 @@
|
||||
"text": [
|
||||
"u_strum_m = 0.004082\n",
|
||||
"u_strum_Dx = 0.020412\n",
|
||||
"uF_strum = 0.089066\n",
|
||||
"uK_strum = 0.662828\n"
|
||||
"uF_strum = 0.058091\n",
|
||||
"uK_strum = 0.273764\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -1028,10 +1028,10 @@
|
||||
"umasse_strum = np.maximum(umasse, u_strum_m)\n",
|
||||
"\n",
|
||||
"# Worst-case scalare: prendi il massimo anche di ueste_strum\n",
|
||||
"uF_strum = np.max(np.sqrt( (g * umasse_strum)**2 + (masse * ug)**2 ))\n",
|
||||
"uDx_strum = np.max(ueste_strum)\n",
|
||||
"uF_strum = np.average(np.sqrt( (g * umasse_strum)**2 + (masse * ug)**2 ))\n",
|
||||
"uDx_strum = np.average(ueste_strum)\n",
|
||||
"\n",
|
||||
"uK_strum = np.max(np.sqrt( (1/este)**2 * uF_strum**2 + (F/este**2)**2 * uDx_strum**2 ))\n",
|
||||
"uK_strum = np.average(np.sqrt( (1/este)**2 * uF_strum**2 + (F/este**2)**2 * uDx_strum**2 ))\n",
|
||||
"\n",
|
||||
"print(f\"u_strum_m = {u_strum_m:.6f}\")\n",
|
||||
"print(f\"u_strum_Dx = {u_strum_Dx:.6f}\")\n",
|
||||
@@ -1049,7 +1049,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 75,
|
||||
"execution_count": 37,
|
||||
"id": "a1dc24c9",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
@@ -1096,12 +1096,12 @@
|
||||
"id": "2e57c7d8",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Risutltati della propagazione dell'errore strumentale massimo"
|
||||
"## Risultati della propagazione dell'errore strumentale massimo"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 76,
|
||||
"execution_count": 38,
|
||||
"id": "c8e264fa",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -1110,22 +1110,22 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"RISULTATI CON ERRORE STRUMENTALE INCLUSO:\n",
|
||||
"Media pesata K = 23.95113 ± 0.66530\n",
|
||||
"Media pesata K = 23.95113 ± 0.27970\n",
|
||||
"\n",
|
||||
"RISULTATI REGRESSIONE OLS:\n",
|
||||
"Aols = 23.96871 ± 0.68192\n",
|
||||
"Bols = 0.09993 ± 2.98913\n",
|
||||
"Chi² OLS = 3.95368 | rid = 0.49421 | P = 0.13872\n",
|
||||
"Aols = 23.96871 ± 0.31720\n",
|
||||
"Bols = 0.09993 ± 2.92755\n",
|
||||
"Chi² OLS = 7.21389 | rid = 0.90174 | P = 0.48626\n",
|
||||
"\n",
|
||||
"RISULTATI REGRESSIONE Carpi:\n",
|
||||
"AC = 24.04738 ± 0.67577\n",
|
||||
"BC = -1.56983 ± 2.18409\n",
|
||||
"Chi² Carpi = 4.03420 | rid = 0.50428 | P = 0.14598\n",
|
||||
"AC = 24.04738 ± 0.30375\n",
|
||||
"BC = -1.56983 ± 2.09901\n",
|
||||
"Chi² Carpi = 7.28743 | rid = 0.91093 | P = 0.49404\n",
|
||||
"\n",
|
||||
"RISULTATI REGRESSIONE York:\n",
|
||||
"AY = 24.06480 ± 0.67582\n",
|
||||
"BY = -1.81758 ± 2.18788\n",
|
||||
"Chi² York = 4.06701 | rid = 0.50838 | P = 0.14897\n"
|
||||
"AY = 24.06480 ± 0.30386\n",
|
||||
"BY = -1.81758 ± 2.10295\n",
|
||||
"Chi² York = 7.33375 | rid = 0.91672 | P = 0.49891\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -1163,8 +1163,8 @@
|
||||
"\n",
|
||||
"In generale con il Chi² vale:\n",
|
||||
"- \\~50%: Errori ottimamente stimati\n",
|
||||
"- \\<5% : Fit troppo grande\n",
|
||||
"- \\>95%: Fit troppo piccolo\n",
|
||||
"- \\<5% : Fit troppo grande (errori sovrastimati)\n",
|
||||
"- \\>95%: Fit troppo piccolo (errori sottostimati)\n",
|
||||
"\n",
|
||||
"In generale mi sembra che nei paper se è presente un Chi² si riporta la probabilità complementare (probabilità di ottenere gli stessi risultati o peggio)"
|
||||
]
|
||||
|
||||
File diff suppressed because one or more lines are too long
@@ -18,7 +18,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 82,
|
||||
"execution_count": 105,
|
||||
"id": "f34c5b88",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
@@ -51,7 +51,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 83,
|
||||
"execution_count": 106,
|
||||
"id": "08efb2be",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
@@ -86,7 +86,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 84,
|
||||
"execution_count": 107,
|
||||
"id": "5494409f",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -199,7 +199,7 @@
|
||||
"3 0.188750 108.610000 0.002887 "
|
||||
]
|
||||
},
|
||||
"execution_count": 84,
|
||||
"execution_count": 107,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -210,7 +210,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 85,
|
||||
"execution_count": 108,
|
||||
"id": "976d5531",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -265,7 +265,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 86,
|
||||
"execution_count": 109,
|
||||
"id": "2ad19283",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -292,7 +292,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 87,
|
||||
"execution_count": 110,
|
||||
"id": "5f59d6c9",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -341,7 +341,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 88,
|
||||
"execution_count": 111,
|
||||
"id": "7e75ec05",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
@@ -368,7 +368,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 89,
|
||||
"execution_count": 112,
|
||||
"id": "aefe7756",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -381,8 +381,8 @@
|
||||
"Dep. Variable: y R-squared: 1.000\n",
|
||||
"Model: OLS Adj. R-squared: 1.000\n",
|
||||
"Method: Least Squares F-statistic: 1.277e+05\n",
|
||||
"Date: Sat, 04 Apr 2026 Prob (F-statistic): 3.68e-10\n",
|
||||
"Time: 19:38:07 Log-Likelihood: -7.2422\n",
|
||||
"Date: Mon, 06 Apr 2026 Prob (F-statistic): 3.68e-10\n",
|
||||
"Time: 10:04:08 Log-Likelihood: -7.2422\n",
|
||||
"No. Observations: 6 AIC: 18.48\n",
|
||||
"Df Residuals: 4 BIC: 18.07\n",
|
||||
"Df Model: 1 \n",
|
||||
@@ -438,7 +438,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 90,
|
||||
"execution_count": 113,
|
||||
"id": "1d42b009",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -504,7 +504,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 91,
|
||||
"execution_count": 114,
|
||||
"id": "986ff4a6",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -562,7 +562,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 92,
|
||||
"execution_count": 115,
|
||||
"id": "2d4b7144",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -638,7 +638,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 93,
|
||||
"execution_count": 116,
|
||||
"id": "e2407a04",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -707,7 +707,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 94,
|
||||
"execution_count": 117,
|
||||
"id": "32e9948f",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -766,7 +766,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 95,
|
||||
"execution_count": 118,
|
||||
"id": "bfb895c6",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -849,7 +849,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 96,
|
||||
"execution_count": 119,
|
||||
"id": "202de438",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -923,7 +923,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 97,
|
||||
"execution_count": 120,
|
||||
"id": "caf23dbe",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -981,7 +981,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 98,
|
||||
"execution_count": 121,
|
||||
"id": "8f5c8bb7",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -991,8 +991,8 @@
|
||||
"text": [
|
||||
"u_strum_m = 0.004082\n",
|
||||
"u_strum_Dx = 0.020412\n",
|
||||
"uF_strum = 0.071603\n",
|
||||
"uK_strum = 0.022946\n"
|
||||
"uF_strum = 0.053018\n",
|
||||
"uK_strum = 0.012599\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -1009,10 +1009,10 @@
|
||||
"umasse_strum = np.maximum(umasse, u_strum_m)\n",
|
||||
"\n",
|
||||
"# Worst-case scalare: prendi il massimo anche di ueste_strum\n",
|
||||
"uF_strum = np.max(np.sqrt( (g * umasse_strum)**2 + (masse * ug)**2 ))\n",
|
||||
"uDx_strum = np.max(ueste_strum)\n",
|
||||
"uF_strum = np.average(np.sqrt( (g * umasse_strum)**2 + (masse * ug)**2 ))\n",
|
||||
"uDx_strum = np.average(ueste_strum)\n",
|
||||
"\n",
|
||||
"uK_strum = np.max(np.sqrt( (1/este)**2 * uF_strum**2 + (F/este**2)**2 * uDx_strum**2 ))\n",
|
||||
"uK_strum = np.average(np.sqrt( (1/este)**2 * uF_strum**2 + (F/este**2)**2 * uDx_strum**2 ))\n",
|
||||
"\n",
|
||||
"print(f\"u_strum_m = {u_strum_m:.6f}\")\n",
|
||||
"print(f\"u_strum_Dx = {u_strum_Dx:.6f}\")\n",
|
||||
@@ -1030,7 +1030,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 99,
|
||||
"execution_count": 122,
|
||||
"id": "a1dc24c9",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
@@ -1082,7 +1082,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 100,
|
||||
"execution_count": 123,
|
||||
"id": "c8e264fa",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -1091,22 +1091,22 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"RISULTATI CON ERRORE STRUMENTALE INCLUSO:\n",
|
||||
"Media pesata K = 3.20156 ± 0.02327\n",
|
||||
"Media pesata K = 3.20156 ± 0.01318\n",
|
||||
"\n",
|
||||
"RISULTATI REGRESSIONE OLS:\n",
|
||||
"Aols = 3.20145 ± 0.02463\n",
|
||||
"Bols = 0.02655 ± 0.99102\n",
|
||||
"Chi² OLS = 1.17582 | rid = 0.29396 | P = 0.11794\n",
|
||||
"Aols = 3.20145 ± 0.01546\n",
|
||||
"Bols = 0.02655 ± 0.99084\n",
|
||||
"Chi² OLS = 1.52520 | rid = 0.38130 | P = 0.17783\n",
|
||||
"\n",
|
||||
"RISULTATI REGRESSIONE Carpi:\n",
|
||||
"AC = 3.20054 ± 0.02472\n",
|
||||
"BC = 0.11948 ± 0.95263\n",
|
||||
"Chi² Carpi = 1.17417 | rid = 0.29354 | P = 0.11767\n",
|
||||
"AC = 3.20054 ± 0.01559\n",
|
||||
"BC = 0.11948 ± 0.95244\n",
|
||||
"Chi² Carpi = 1.52143 | rid = 0.38036 | P = 0.17716\n",
|
||||
"\n",
|
||||
"RISULTATI REGRESSIONE York:\n",
|
||||
"AY = 3.20061 ± 0.02472\n",
|
||||
"BY = 0.11263 ± 0.95193\n",
|
||||
"Chi² York = 1.17400 | rid = 0.29350 | P = 0.11764\n"
|
||||
"AY = 3.20061 ± 0.01559\n",
|
||||
"BY = 0.11263 ± 0.95173\n",
|
||||
"Chi² York = 1.52133 | rid = 0.38033 | P = 0.17714\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
|
||||
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user