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Legion Core - Energy Parasitic Complex

Locations

Race: Amarr
Market: Market > Ship and Module Modifications > Subsystems > Amarr Subsystems > Amarr Core Subsystems
Inventory: Subsystem > Core Subsystem

Description

During some of the first conflicts with them, Amarr engineers noticed a remarkable feature in Sleeper drone technology: the ability of drones to transfer power between one another without the need for specialized equipment. This technology seemed to be innate to every drone in some capacity, and while the engineers could not reproduce this system in modern space vessels, they were able to adapt the technology into modular Tech III designs. The energy parasitic complex turns the Sleeper tech on its head, changing the energy transfer from a symbiotic function to a vampiric one by providing a boost to energy neutralizer and energy nosferatu equipment.

Required Skills Amarr Core Systems 1 Power Grid Management 5

Item Data Volume: 40 m3 Restricted to Ship Type: Legion Low Slot Modifier: +2 Medium Slot Modifier: +2 Nosferatu and Neutralizer fitting reduction: -50 % Structure Hitpoints: 40 HP Mass: 1,200,000 kg Volume: 40 m3 Capacitor Capacity: 50 GJ Meta Level: 1 Tech Level: 3 Mass: 1,200,000 kg

Other Attributes

Other
Attribute Name	Display Name	Value
subSystemSlot		125
Miscellaneous
Attribute Name	Display Name	Value
subsystemBonusAmarrCore		-5
subsystemBonusAmarrCore2		10
subsystemBonusAmarrCore3		10
Other
Attribute Name	Display Name	Value
radius		1

Variations

Group	Name
Tech I	Legion Core - Augmented Antimatter Reactor
Tech III	Legion Core - Dissolution Sequencer
Tech III	Legion Core - Energy Parasitic Complex

Manufacturing

Blueprint
Blueprint:	Legion Core - Energy Parasitic Complex Blueprint
Manufacturing Time:	1 hour, 40 minutes
ME Research Time:	3 minutes, 30 seconds
PE Research Time:	3 minutes, 30 seconds
Copying Time:	8 minutes
Max. Runs When Copied:	300
Batch Size:	1

Recycling Output

Quantity	Item
1	Fullerene Intercalated Sheets
1	Fulleroferrocene Power Conduits
1	Metallofullerene Plating
1	Nanowire Composites
1	Neurovisual Output Analyzer
7	Optimized Nano-Engines

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