Data implementation for Lambda production

[achiefa]

This PR addresses the implementation of new datasets in $e^+e^-$ annihilation associated with collinear $\Lambda$ production. These datasets will be used for the extraction of the collinear FF of the $\Lambda$.

List of datasets in SIA and status

Dataset name	Ref.	Status	Comments
ARGUS @ 10 GeV	(ref)	✅
BELLE @ 10.52 GeV	(ref)	✅
TASSO @ 14 GeV	(ref)	✅
TASSO @ 22 GeV	(ref)	✅
TASSO @ 34 GeV	(ref)	✅
TASSO @ 33.3 GeV	(ref)	✅
TASSO @ 34.8 GeV	(ref)	✅
TASSO @ 42.1 GeV	(ref)	✅
HRS @ 29 GeV	(ref)	✅
MARK II @ 29 GeV	(ref)	✅
CELLO @ 35 GeV	(ref)	✅
ALEPH @ 91.2 GeV	(ref)	✅
DELPHI @ 91.2 GeV	(ref)	✅
DELPHI @ 183 GeV	(ref)	✅
DELPHI @ 189 GeV	(ref)	✅
OPAL @ 91.2 GeV	(ref 1, ref 2)	✅
SLD @ 91.2 GeV	(ref)	✅

List of fits

Name	Description	Fitted flavours	$z_{min}$
250109-ac-lambda	NLO	$g, u, \bar{u}=s, \bar{s}, d^+, c^+, b^+$	As MAPFF1.0
250114-ac-lambda	NLO	$g, u^+, d^+, s, \bar{s}, c^+, b^+$	As MAPFF1.0
250120-ac-01-lambda	NLO	$g, u^+, d^+, s^+, c^+, b^+$	As MAPFF1.0
250120-ac-02-lambda	NNLO	$g, u^+, d^+, s^+, c^+, b^+$	As MAPFF1.0
250120-ac-03-lambda	NLO - no rad. corrections BELLE	$g, u^+, d^+, s^+, c^+, b^+$	As MAPFF1.0

List of datasets in SIDIS and status

Dataset name	Ref.	Status	Comments
HCIMMOV @ 20.567 GeV	(ref)	✅
NOMAD @ 9.266 GeV	(ref)	✅
ABCMO @ 0.938 GeV	(ref)	✅	only Lambda
WA59 @ ?	(ref)	Vs ?	only Lambda

[achiefa]

Hi @alessiabongallino, I set up Eddie (the cluster in Edinburgh), and I can now run parallel fits using Mont Blanc. Feel free to let me know if you need help finalising the data implementation.

Also, before running a fit, we should ensure we use the correct kinematic cuts. I pushed a dummy config file with the new datasets implemented, but I've not changed the kinematic cuts. I think @enocera and @vbertone can provide guidance on that.

[achiefa]

Also, @alessiabongallino please have a look at the description and feel free to correct any flaws you find, if any.

[achiefa]

Hi @alessiabongallino, thanks for that. I think we're now all set for a test fit.