LMFDB - Newform data

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Column	Type
Nk2	integer
analytic_conductor	double precision
analytic_rank	smallint
analytic_rank_proved	boolean
artin_degree	integer
artin_field	numeric[]
artin_field_label	text
artin_image	text
atkin_lehner_eigenvals	integer[]
atkin_lehner_string	text
char_conductor	integer
char_degree	integer
char_is_minimal	boolean
char_is_real	boolean
char_orbit_index	smallint
char_orbit_label	text
char_order	integer
char_parity	smallint
char_values	jsonb
cm_discs	integer[]
conrey_index	integer
dim	integer
embedded_related_objects	text[]
field_disc	numeric
field_disc_factorization	numeric[]
field_poly	numeric[]
field_poly_is_cyclotomic	boolean
field_poly_is_real_cyclotomic	boolean
field_poly_root_of_unity	integer
fricke_eigenval	smallint
has_non_self_twist	smallint
hecke_cutters	jsonb
hecke_orbit	integer
hecke_orbit_code	bigint
hecke_ring_generator_nbound	integer
hecke_ring_index	numeric
hecke_ring_index_factorization	numeric[]
hecke_ring_index_proved	boolean
inner_twist_count	integer
inner_twists	integer[]
is_cm	boolean
is_largest	boolean
is_maximal	boolean
is_polredabs	boolean
is_rm	boolean
is_self_dual	boolean
is_self_twist	boolean
is_twist_minimal	boolean
label	text
level	integer
level_is_powerful	boolean
level_is_prime	boolean
level_is_prime_power	boolean
level_is_prime_square	boolean
level_is_square	boolean
level_is_squarefree	boolean
level_primes	integer[]
level_radical	integer
minimal_twist	text
nf_label	text
prim_orbit_index	smallint
projective_field	numeric[]
projective_field_label	text
projective_image	text
projective_image_type	text
qexp_display	text
related_objects	text[]
relative_dim	integer
rm_discs	integer[]
sato_tate_group	text
self_twist_discs	integer[]
self_twist_type	smallint
space_label	text
trace_display	numeric[]
trace_hash	bigint
trace_moments	numeric[]
trace_zratio	numeric
traces	numeric[]
weight	smallint
weight_parity	smallint

mf_newforms • Show schema

{'Nk2': 1452, 'analytic_conductor': 8.384320328611864, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1]], 'atkin_lehner_string': '+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [3, 1, [2], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-1728, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599996469251, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '3.22.a.b', 'level': 3, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3], 'level_radical': 3, 'minimal_twist': '3.22.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+12^{3}q^{2}-3^{10}q^{3}+888832q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '21.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3.22.a', 'trace_display': [1728, -59049, -41512770, 538429808], 'trace_hash': 94850339276862402, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '0.978', 'prec': 10}, {'__RealLiteral__': 0, 'data': '0.010', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.911', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.054', 'prec': 7}, {'__RealLiteral__': 0, 'data': '4.690', 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Column	Type
an	jsonb
ap	jsonb
char_orbit_index	smallint
field_poly	numeric[]
hecke_orbit_code	bigint
hecke_ring_character_values	jsonb
hecke_ring_cyclotomic_generator	integer
hecke_ring_denominators	numeric[]
hecke_ring_inverse_denominators	numeric[]
hecke_ring_inverse_numerators	numeric[]
hecke_ring_numerators	numeric[]
hecke_ring_power_basis	boolean
hecke_ring_rank	integer
label	text
level	integer
maxp	integer
weight	smallint

mf_hecke_nf • Show schema

{'an': [[1], [1728], [-59049], [888832], [-41512770], [-102036672], [538429808], [-2087976960], [3486784401], [-71734066560], [-64113040188], [-52484640768], [-130980107986], [930406708224], [2451287555730], [-5472039993344], [8242029723618], [6025163444928], [13492101753020], [-36897878384640], [-31793741732592], [-110787333444864], [-233184825844776], [123292951511040], [1246472914869775], [-226333626599808], [-205891132094649], [478573643104256], [-2024562031123770], [4235824896301440], [-6869194988701768], [-5076880050880512], [3785810910061212], [14242227362411904], [-22351712780648160], [3099165552709632], [3443998107027638], [23314351829218560], [7734244396465314], [86677707305779200], [-21842403084625158], [-54939585713918976], [-71792816814133756], [-56985721736380416], [-144746078878300770], [-402943379059772928], [283544719418655648], [323118489566969856], [-268639205940367143], [2153905196894971200], [-486683613149919282], [-116419311341412352], [-2172285419049898146], [-355779876259553472], [2661509891325200760], [-1124229033681223680], [-796695116414077980], [-3498443189781874560], [1534831476719068260], [2178782820734607360], [4311589520797626062], [-11869968940476655104], [1877388655567825008], [2702850888199831552], [5437347097397981220], [6541881252585774336], [9243910904037307868], [7325779763302834176], [13769330781308178024], [-38623759684960020480], [-20387361256404760728], [-7280325493775400960], [16617754439328636074], [5951228728943758464], [-73602979150145343975], [11992211785340272640], [-34520371918721123904], [13364774317092062592], [67940304745507627880], [227159537674491002880], [12157665459056928801], [-37743672530232273024], [39503732340682314684], [-28259295051663212544], [-342149484249717601860], [-124057987454823130368], [119548363375827494730], [133866550748098068480], [41611676186839694490], [-250121224301703730560], [-70523594394721246688], [-207262135125263941632], [405619094887850698632], [489965275155436959744], 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[-74678884283499733151361698452], [-79516621655794595287122128442], [54630475811968490797645382364], [94347753608621322683348816970], [80502688557192538676776533572], [-16713209748295217317456180222], [31573049710064303705244124788], [-5484927888673329085387681806], [125620658203688600381134975800], [39932519503450424280802227002], [-246989744233417277472610442392], [26391063094884762318035752214], [309820221453069471259829935818], [-250758346984346089623219775180], [-43277014217764274599149635968], [-87338129147951304875869051758], [-472012662281044842887803317556], [12679914419730103032806825448], [-276226226695286755683440965146], [64651093109860756023840399660], [-227730096181644030821366698138], [-379242654490524454184795452126], [-339716792517518435143954664322], [454742470684348761035562212484], [-371838197284336465451891877508], [-937969255282051004951082021498], [-754577664218910736843279357690], [1227539546566558647195430005120], [904406856558230986053248052128], 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[22431000732773336043087939443730], [-11005150343244776250473713211062], [-23803608375613899065906027348058], [8097622045727514838197167514348], [-3422323218848039624719247798646], [13312057600912052006631125850368], [9717740684720670610640105819172], [-14063736808615603541092676695422], [-48729100520256050266625407838616], [1178465528769504227219631008792], [50543774300846828901005197734998]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 4503599996469251, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '3.22.a.b', 'level': 3, 'maxp': 997, 'weight': 22}

Column	Type
ALdims	integer[]
ALdims_eis_new	integer[]
ALdims_eis_old	integer[]
ALdims_old	integer[]
Nk2	integer
a4_dim	integer
a5_dim	integer
analytic_conductor	double precision
char_conductor	integer
char_degree	integer
char_is_real	boolean
char_orbit_index	smallint
char_orbit_label	text
char_order	integer
char_parity	smallint
char_values	jsonb
conrey_index	integer
cusp_dim	integer
dihedral_dim	integer
dim	integer
eis_dim	integer
eis_new_dim	integer
hecke_cutter_primes	integer[]
hecke_orbit_code	bigint
hecke_orbit_dims	integer[]
label	text
level	integer
level_is_powerful	boolean
level_is_prime	boolean
level_is_prime_power	boolean
level_is_prime_square	boolean
level_is_square	boolean
level_is_squarefree	boolean
level_primes	integer[]
level_radical	integer
mf_dim	integer
mf_new_dim	integer
num_forms	smallint
plus_dim	integer
prim_orbit_index	smallint
relative_dim	integer
s4_dim	integer
sturm_bound	integer
trace_bound	integer
trace_display	numeric[]
traces	numeric[]
weight	smallint
weight_parity	smallint

mf_newspaces • Show schema

{'ALdims': [2, 2], 'ALdims_eis_new': [0, 0], 'ALdims_eis_old': [1, 1], 'ALdims_old': [1, 1], 'Nk2': 1452, 'analytic_conductor': 8.384320328611864, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [3, 1, [2], [1]], 'conrey_index': 1, 'cusp_dim': 6, 'dim': 4, 'eis_dim': 2, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 369098755, 'hecke_orbit_dims': [1, 1, 2], 'label': '3.22.a', 'level': 3, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3], 'level_radical': 3, 'mf_dim': 8, 'mf_new_dim': 4, 'num_forms': 3, 'plus_dim': 2, 'prim_orbit_index': 1, 'relative_dim': 4, 'sturm_bound': 7, 'trace_bound': 2, 'trace_display': [-450, 0, -37405944, 1581629840], 'traces': [4, -450, 0, 8059252, -37405944, 105225318, 1581629840, -10735548120, 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Column	Type
conductor	integer
degree	integer
multiplicity	smallint
order	integer
parity	smallint
self_twist_disc	integer
source_char_orbit	smallint
source_dim	integer
source_hecke_orbit	integer
source_is_minimal	boolean
source_label	text
source_level	integer
target_char_orbit	smallint
target_dim	integer
target_hecke_orbit	integer
target_is_minimal	boolean
target_label	text
target_level	integer
twist_class_label	text
twist_class_level	integer
twisting_char_label	text
twisting_char_orbit	smallint
weight	smallint

mf_twists_nf • Show schema

id: 900
{'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '3.22.a.b', 'source_level': 3, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '3.22.a.b', 'target_level': 3, 'twist_class_label': '3.22.a.b', 'twist_class_level': 3, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 22}
id: 901
{'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '3.22.a.b', 'source_level': 3, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '9.22.a.a', 'target_level': 9, 'twist_class_label': '3.22.a.b', 'twist_class_level': 3, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 22}
id: 902
{'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '3.22.a.b', 'source_level': 3, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '48.22.a.d', 'target_level': 48, 'twist_class_label': '3.22.a.b', 'twist_class_level': 3, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 22}
id: 903
{'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '3.22.a.b', 'source_level': 3, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '75.22.a.a', 'target_level': 75, 'twist_class_label': '3.22.a.b', 'twist_class_level': 3, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 22}
id: 904
{'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '3.22.a.b', 'source_level': 3, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '75.22.b.b', 'target_level': 75, 'twist_class_label': '3.22.a.b', 'twist_class_level': 3, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 22}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 9325
{'charpoly_factorization': [[[-1728, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 2}
id: 9326
{'charpoly_factorization': [[[59049, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 3}
id: 9327
{'charpoly_factorization': [[[41512770, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 5}
id: 9328
{'charpoly_factorization': [[[-538429808, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 7}
id: 9329
{'charpoly_factorization': [[[64113040188, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 11}
id: 9330
{'charpoly_factorization': [[[130980107986, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 13}
id: 9331
{'charpoly_factorization': [[[-8242029723618, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 17}
id: 9332
{'charpoly_factorization': [[[-13492101753020, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 19}
id: 9333
{'charpoly_factorization': [[[233184825844776, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 23}
id: 9334
{'charpoly_factorization': [[[2024562031123770, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 29}
id: 9335
{'charpoly_factorization': [[[6869194988701768, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 31}
id: 9336
{'charpoly_factorization': [[[-3443998107027638, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 37}
id: 9337
{'charpoly_factorization': [[[21842403084625158, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 41}
id: 9338
{'charpoly_factorization': [[[71792816814133756, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 43}
id: 9339
{'charpoly_factorization': [[[-283544719418655648, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 47}
id: 9340
{'charpoly_factorization': [[[2172285419049898146, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 53}
id: 9341
{'charpoly_factorization': [[[-1534831476719068260, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 59}
id: 9342
{'charpoly_factorization': [[[-4311589520797626062, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 61}
id: 9343
{'charpoly_factorization': [[[-9243910904037307868, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 67}
id: 9344
{'charpoly_factorization': [[[20387361256404760728, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 71}
id: 9345
{'charpoly_factorization': [[[-16617754439328636074, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 73}
id: 9346
{'charpoly_factorization': [[[-67940304745507627880, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 79}
id: 9347
{'charpoly_factorization': [[[-39503732340682314684, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 83}
id: 9348
{'charpoly_factorization': [[[-41611676186839694490, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 89}
id: 9349
{'charpoly_factorization': [[[-57181473208903260098, 1], 1]], 'hecke_orbit_code': 4503599996469251, 'p': 97}

Column	Type
char_orbit_index	smallint
hecke_orbit	integer
label	text
level	integer
portrait	text
weight	smallint

mf_newform_portraits • Show schema

{'char_orbit_index': 1, 'hecke_orbit': 2, 'label': '3.22.a.b', 'level': 3, 'portrait': 'data:image/png;base64,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', 'weight': 22}

Column	Type
hecke_orbit_code	bigint
n	integer
trace_an	numeric

mf_hecke_traces • Show schema
Showing the first 100 of 258 matching records in this table.

id: 20003064
{'hecke_orbit_code': 4503599996469251, 'n': 1, 'trace_an': 1}
id: 20003065
{'hecke_orbit_code': 4503599996469251, 'n': 2, 'trace_an': 1728}
id: 20003066
{'hecke_orbit_code': 4503599996469251, 'n': 3, 'trace_an': -59049}
id: 20003067
{'hecke_orbit_code': 4503599996469251, 'n': 4, 'trace_an': 888832}
id: 20003068
{'hecke_orbit_code': 4503599996469251, 'n': 5, 'trace_an': -41512770}
id: 20003069
{'hecke_orbit_code': 4503599996469251, 'n': 6, 'trace_an': -102036672}
id: 20003070
{'hecke_orbit_code': 4503599996469251, 'n': 7, 'trace_an': 538429808}
id: 20003071
{'hecke_orbit_code': 4503599996469251, 'n': 8, 'trace_an': -2087976960}
id: 20003072
{'hecke_orbit_code': 4503599996469251, 'n': 9, 'trace_an': 3486784401}
id: 20003073
{'hecke_orbit_code': 4503599996469251, 'n': 10, 'trace_an': -71734066560}
id: 20003074
{'hecke_orbit_code': 4503599996469251, 'n': 11, 'trace_an': -64113040188}
id: 20003075
{'hecke_orbit_code': 4503599996469251, 'n': 12, 'trace_an': -52484640768}
id: 20003076
{'hecke_orbit_code': 4503599996469251, 'n': 13, 'trace_an': -130980107986}
id: 20003077
{'hecke_orbit_code': 4503599996469251, 'n': 14, 'trace_an': 930406708224}
id: 20003078
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id: 20003115
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id: 20003116
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id: 20003117
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id: 20003118
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id: 20003119
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id: 20003141
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id: 20003145
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id: 20003147
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id: 20003148
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id: 20003149
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id: 20003150
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id: 20003152
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id: 20003153
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id: 20003154
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id: 20003155
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id: 20003156
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id: 20003157
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id: 20003158
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id: 20003159
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id: 20003160
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id: 20003161
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id: 20003162
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id: 20003163
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Overview	Random
Universe	Knowledge

Classical	Maass
Hilbert	Bianchi

Elliptic curves over $\Q$ over number fields
Genus 2 curves
Higher genus families
Abelian varieties over $\F_{q}$
Belyi maps

Introduction

L-functions

Modular forms

Varieties

Fields

Representations

Groups

Database

This project is supported by grants from the US National Science Foundation, the UK Engineering and Physical Sciences Research Council, and the Simons Foundation.