paper: correction of typos
@@ -134,15 +134,15 @@ Some of the major changes in each module of ``VIP`` are summarized below:
- a Python implementation of the ANDROMEDA algorithm [@Cantalloube:2015] is
now available as part of ``VIP``;
- the KLIP-FMMF and LOCI-FMMF algorithms
- [@Pueyo:2016, @Ruffio:2017, @Dahlqvist:2021] are now also available in the
+ [@Pueyo:2016; @Ruffio:2017; @Dahlqvist:2021] are now also available in the
`invprob` module.
* `metrics`:
- calculation of standardized trajectory maps (STIM) is now available
[@Pairet:2019];
- functions to calculate completeness-based contrast curves and completeness
- maps, inspired by the framework in [@JensenClem:2018] and implemented as in
- [@Dahlqvist:2021], have now been added to the `metrics` module.
+ maps, inspired by the framework in @JensenClem:2018 and implemented as in
+ @Dahlqvist:2021, have now been added to the `metrics` module.
* `preproc`:
- the module now boasts several new algorithms for (i) the identification
@@ -161,7 +161,7 @@ Some of the major changes in each module of ``VIP`` are summarized below:
[@Amara:2012; @Soummer:2012] have been re-written for improved efficiency,
and are now also compatible with 4D IFS+ADI input cubes to apply SDI-based
PSF modeling and subtraction algorithms;
- - an implementation of the Locally Optimal Combination of Images
+ - an implementation of the Locally Optimal Combination of Images algorithm
[@Lafreniere:2007] was added;
- an annular version of the non-negative matrix factorization algorithm
is now available [@Lee:1999; @Gomez:2017];
