LMFDB - Embedded newform data

Formats: - HTML - YAML - JSON - 2026-07-26T10:55:14.325975

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': 10890, 'analytic_conductor': 57.18215274063517, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 9, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 6, 'char_parity': -1, 'char_values': [90, 6, [11, 37], [1, 6]], 'cm_discs': [], 'conrey_index': 11, 'dim': 80, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 481220886618, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 9, 4, -1, 6, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '90.11.h.a', 'level': 90, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '90.11.h.a', 'prim_orbit_index': 4, 'related_objects': [], 'relative_dim': 40, 'rm_discs': [], 'sato_tate_group': '10.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '90.11.h', 'trace_display': [0, 44, 0, -24476], 'traces': [80, 0, 44, 20480, 0, -13568, -24476, 0, -103396, 0, 1944, 45056, 561100, -175680, -687500, -10485760, 0, -3888896, 5932480, 0, 30706612, -6946944, -2008908, -2392064, 78125000, 0, -33902836, -25063424, -54816192, -19000000, 11191216, 0, -38758416, -61492992, 0, -176128, 204029848, -247344768, -27399560, 0, 306039276, 146895872, 173186188, 0, 8500000, 366913920, -1316963016, 11534336, -1286128428, 0, 1792903968, -287283200, 0, -1612000448, 0, -89948160, -2228035028, 0, 5720414040, 352000000, -1218762932, 0, -6364657976, -10737418240, -2716312500, -6187488768, 1597633744, 1475831808, 18144078528, 183000000, 0, 948699136, -10426752656, -15538503168, -85937500, 1518714880, 18397247724, 14163069824, 3046073392, 0, -16327365376, 10345792512, -27645650316, 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Column	Type
an_normalized	double precision[]
angles	double precision[]
char_orbit_index	smallint
conrey_index	integer
dual_conrey_index	integer
dual_embedding_index	integer
dual_embedding_m	integer
embedding_index	integer
embedding_m	integer
embedding_root_imag	double precision
embedding_root_real	double precision
hecke_orbit	integer
hecke_orbit_code	bigint
label	text
level	integer
weight	smallint

mf_hecke_cc • Show schema

{'an_normalized': [[1.0, 0.0], [-0.6123724356957945, -0.3535533905932738], [0.2506880357006527, -0.9680679256935167], [0.25, 0.4330127018922193], [-0.3872983346207417, 0.22360679774997896], [-0.49577814047534324, 0.5041865085727809], [-0.43227717495671636, 0.7487260299773735], [0.0, -0.3535533905932738], [-0.8743110175130966, -0.4853660934338262], [0.31622776601683794, 0.0], [-0.8084115167380234, -0.4667366068046914], [0.48185771704490904, -0.13346587775258645], [-0.6341503016158655, -1.098380542033807], [0.529429253047883, -0.3056661217640578], [0.11937551013258406, 0.4309866443181103], [-0.125, 0.21650635094610965], [0.0, -1.3036909415997324], [0.3638011393376225, 0.6063404415150352], [-0.4884610742842688, 0.0], [-0.19364916731037085, -0.11180339887498948], [0.6164509388848112, 0.6061703258179776], [0.33003261969959663, 0.5716332654747585], [-0.31998987787705147, 0.18474624213027116], [-0.34226369745354024, -0.08863160500313341], [0.1, -0.17320508075688773], [0.0, 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[-1.2620613855798808, -0.32681972131037124], [0.31707515080793275, -0.5491902710169035], [0.0, 1.659186645258773], [0.6781793264877592, -0.2001819200742396], [0.41746191216115236, 0.0], [0.2647146265239415, 0.1528330608820289], [-0.12245134722855393, 0.4728634989643989], [-0.39085733590317123, -0.6769847642953076], [1.4866179282156453, -0.8582992610374266], [-0.15677881380249983, 0.1594377732617998], [0.32424340384484124, -0.5616060494783389], [0.0, -0.3048632948514801], [0.7413509249064292, -0.44480673341870663], [-0.125, 0.0], [0.4912107114301315, 0.28360063647301403], [0.6361150587151932, -0.17619237310076885], [0.02886957668908344, 0.05000357361849861], [0.5645147370545117, -0.3259227353999331], [0.09862927746963403, 0.3560856098620738], [-0.1366980453366322, 0.23676795981840085], [0.0, 1.6796116162861408], [-0.17160282801254095, 0.30911562467481046], [0.7045157875064916, 0.0], [0.27003572016744765, 0.15590519572949033], [-0.1426054796778331, -0.14022723403766876], [-0.1221152685710672, -0.2115098495450073], [0.6989156933159739, -0.4035191636768315], [0.8681865078892956, 0.22482303618174124], [-0.5820338097533125, 1.0081121302156153], [0.0, -0.11180339887498948], [0.5288395106895726, 0.8487218460329706], [-0.41880034763105406, 0.0], [0.9348170142949087, 0.5397168548462078], [-0.10836671586812659, 0.41847366808500186], [0.29151415670677105, 0.504917330541723], [0.4911486889657221, -0.28356482778649145], [0.7751140927408834, -0.7882599821563141], [-0.16501630984979831, 0.28581663273737923], [0.0, 0.26694573157343665], [-0.27648141987207503, -0.15348623542689868], [1.096514803521824, 0.0], [-0.15999493893852573, -0.09237312106513558], [0.41549801296324473, -0.11508543921363953], [0.3685385459389422, 0.6383274861138046], [0.1891801605973557, -0.10922321664621995], [-0.04718731360793432, -0.17036242964476192], [0.20661181532971343, -0.3578621615951019], [0.0, -0.17857683080197723], [0.48026497226117404, 0.8004484973720685], [0.1, 0.0]], 'angles': [None, None, None, -0.4878115622859534, -0.2439518618740463, -0.4740083545035508, -0.38699753499400713, -0.2892676817672329, -0.3629064947913966, -0.0734547922230142, -0.048752713661142005, -0.28538171586863126, -0.28548415737758626, -0.48233898815679055, -0.2539229350195798, 0.15571384734459842, -0.1690940083574384, -0.36411182458690194, -0.07873795900981932, 0.1586656086654235, -0.1927069991127865, 0.18220477080320194, -0.07593231663948459, 0.021306451063717494, -0.3835448069998662, -0.15439414942375226, -0.09293356953833369, -0.3719947638017694, -0.28182976033223855, -0.1639585119025789, -0.3856918237725725, -0.3523379390319942, -0.16096288950018262, -0.08055966224434405, -0.47266279059789096, -0.4995017525920336, -0.45622821726734963, -0.19300827722829975, -0.26335964609345136, -0.022228989210583965, -0.4503579199835524, -0.3985807795207432, -0.07061944137444959, -0.48730777014369314, 0.1793269242775552, -0.2066321184733664, 0.022293311985928724, -0.37359462820083106, 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0.08304922055009893, -0.4522131202637703, -0.2755786109780602, -0.4097956315711384, -0.2855906237637673, -0.09402682011996885], 'char_orbit_index': 8, 'conrey_index': 11, 'dual_conrey_index': 41, 'dual_embedding_index': 11, 'dual_embedding_m': 51, 'embedding_index': 11, 'embedding_m': 11, 'hecke_orbit': 1, 'hecke_orbit_code': 481220886618, 'label': '90.11.h.a.11.11', 'level': 90, 'weight': 11}

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

{'Nk2': 10890, 'analytic_conductor': 57.18215274063517, 'char_conductor': 9, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 6, 'char_parity': -1, 'char_values': [90, 6, [11, 37], [1, 6]], 'conrey_index': 11, 'cusp_dim': 352, 'dim': 80, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_orbit_code': 481220886618, 'hecke_orbit_dims': [80], 'label': '90.11.h', 'level': 90, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 368, 'mf_new_dim': 80, 'num_forms': 1, 'prim_orbit_index': 4, 'relative_dim': 40, 'sturm_bound': 198, 'trace_bound': 0, 'trace_display': [0, 44, 0, -24476], 'traces': [80, 0, 44, 20480, 0, -13568, -24476, 0, -103396, 0, 1944, 45056, 561100, -175680, -687500, -10485760, 0, -3888896, 5932480, 0, 30706612, -6946944, -2008908, -2392064, 78125000, 0, 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11, 'weight_parity': -1}

Column	Type
conductor	integer
degree	integer
order	integer
parity	smallint
source_conrey_index	integer
source_dim	integer
source_embedding_index	integer
source_hecke_orbit_code	bigint
source_is_minimal	boolean
source_label	text
source_level	integer
target_conrey_index	integer
target_dim	integer
target_embedding_index	integer
target_hecke_orbit_code	bigint
target_is_minimal	boolean
target_label	text
target_level	integer
twist_class_label	text
twist_class_level	integer
twisting_char_label	text
twisting_conrey_index	integer
weight	smallint

mf_twists_cc • Show schema

id: 6278293
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 11, 'source_dim': 80, 'source_embedding_index': 11, 'source_hecke_orbit_code': 481220886618, 'source_is_minimal': True, 'source_label': '90.11.h.a.11.11', 'source_level': 90, 'target_conrey_index': 11, 'target_dim': 80, 'target_embedding_index': 11, 'target_hecke_orbit_code': 481220886618, 'target_is_minimal': True, 'target_label': '90.11.h.a.11.11', 'target_level': 90, 'twist_class_label': '90.11.h.a.11.11', 'twist_class_level': 90, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 11}
id: 6278294
{'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 11, 'source_dim': 80, 'source_embedding_index': 11, 'source_hecke_orbit_code': 481220886618, 'source_is_minimal': True, 'source_label': '90.11.h.a.11.11', 'source_level': 90, 'target_conrey_index': 251, 'target_dim': 80, 'target_embedding_index': 32, 'target_hecke_orbit_code': 481220886798, 'target_is_minimal': False, 'target_label': '270.11.h.a.251.32', 'target_level': 270, 'twist_class_label': '90.11.h.a.11.11', 'twist_class_level': 90, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 11}
id: 6278295
{'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 11, 'source_dim': 80, 'source_embedding_index': 11, 'source_hecke_orbit_code': 481220886618, 'source_is_minimal': True, 'source_label': '90.11.h.a.11.11', 'source_level': 90, 'target_conrey_index': 71, 'target_dim': 80, 'target_embedding_index': 32, 'target_hecke_orbit_code': 481220886798, 'target_is_minimal': False, 'target_label': '270.11.h.a.71.32', 'target_level': 270, 'twist_class_label': '90.11.h.a.11.11', 'twist_class_level': 90, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 11}
id: 6278296
{'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 11, 'source_dim': 80, 'source_embedding_index': 11, 'source_hecke_orbit_code': 481220886618, 'source_is_minimal': True, 'source_label': '90.11.h.a.11.11', 'source_level': 90, 'target_conrey_index': 41, 'target_dim': 80, 'target_embedding_index': 11, 'target_hecke_orbit_code': 481220886618, 'target_is_minimal': True, 'target_label': '90.11.h.a.41.11', 'target_level': 90, 'twist_class_label': '90.11.h.a.11.11', 'twist_class_level': 90, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 11}

hecke_orbit_code 481220886618 does not appear in mf_hecke_charpolys

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': 8, 'hecke_orbit': 1, 'label': '90.11.h.a', 'level': 90, 'portrait': 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', 'weight': 11}

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: 9679968
{'hecke_orbit_code': 481220886618, 'n': 1, 'trace_an': 80}
id: 9679969
{'hecke_orbit_code': 481220886618, 'n': 2, 'trace_an': 0}
id: 9679970
{'hecke_orbit_code': 481220886618, 'n': 3, 'trace_an': 44}
id: 9679971
{'hecke_orbit_code': 481220886618, 'n': 4, 'trace_an': 20480}
id: 9679972
{'hecke_orbit_code': 481220886618, 'n': 5, 'trace_an': 0}
id: 9679973
{'hecke_orbit_code': 481220886618, 'n': 6, 'trace_an': -13568}
id: 9679974
{'hecke_orbit_code': 481220886618, 'n': 7, 'trace_an': -24476}
id: 9679975
{'hecke_orbit_code': 481220886618, 'n': 8, 'trace_an': 0}
id: 9679976
{'hecke_orbit_code': 481220886618, 'n': 9, 'trace_an': -103396}
id: 9679977
{'hecke_orbit_code': 481220886618, 'n': 10, 'trace_an': 0}
id: 9679978
{'hecke_orbit_code': 481220886618, 'n': 11, 'trace_an': 1944}
id: 9679979
{'hecke_orbit_code': 481220886618, 'n': 12, 'trace_an': 45056}
id: 9679980
{'hecke_orbit_code': 481220886618, 'n': 13, 'trace_an': 561100}
id: 9679981
{'hecke_orbit_code': 481220886618, 'n': 14, 'trace_an': -175680}
id: 9679982
{'hecke_orbit_code': 481220886618, 'n': 15, 'trace_an': -687500}
id: 9679983
{'hecke_orbit_code': 481220886618, 'n': 16, 'trace_an': -10485760}
id: 9679984
{'hecke_orbit_code': 481220886618, 'n': 17, 'trace_an': 0}
id: 9679985
{'hecke_orbit_code': 481220886618, 'n': 18, 'trace_an': -3888896}
id: 9679986
{'hecke_orbit_code': 481220886618, 'n': 19, 'trace_an': 5932480}
id: 9679987
{'hecke_orbit_code': 481220886618, 'n': 20, 'trace_an': 0}
id: 9679988
{'hecke_orbit_code': 481220886618, 'n': 21, 'trace_an': 30706612}
id: 9679989
{'hecke_orbit_code': 481220886618, 'n': 22, 'trace_an': -6946944}
id: 9679990
{'hecke_orbit_code': 481220886618, 'n': 23, 'trace_an': -2008908}
id: 9679991
{'hecke_orbit_code': 481220886618, 'n': 24, 'trace_an': -2392064}
id: 9679992
{'hecke_orbit_code': 481220886618, 'n': 25, 'trace_an': 78125000}
id: 9679993
{'hecke_orbit_code': 481220886618, 'n': 26, 'trace_an': 0}
id: 9679994
{'hecke_orbit_code': 481220886618, 'n': 27, 'trace_an': -33902836}
id: 9679995
{'hecke_orbit_code': 481220886618, 'n': 28, 'trace_an': -25063424}
id: 9679996
{'hecke_orbit_code': 481220886618, 'n': 29, 'trace_an': -54816192}
id: 9679997
{'hecke_orbit_code': 481220886618, 'n': 30, 'trace_an': -19000000}
id: 9679998
{'hecke_orbit_code': 481220886618, 'n': 31, 'trace_an': 11191216}
id: 9679999
{'hecke_orbit_code': 481220886618, 'n': 32, 'trace_an': 0}
id: 9680000
{'hecke_orbit_code': 481220886618, 'n': 33, 'trace_an': -38758416}
id: 9680001
{'hecke_orbit_code': 481220886618, 'n': 34, 'trace_an': -61492992}
id: 9680002
{'hecke_orbit_code': 481220886618, 'n': 35, 'trace_an': 0}
id: 9680003
{'hecke_orbit_code': 481220886618, 'n': 36, 'trace_an': -176128}
id: 9680004
{'hecke_orbit_code': 481220886618, 'n': 37, 'trace_an': 204029848}
id: 9680005
{'hecke_orbit_code': 481220886618, 'n': 38, 'trace_an': -247344768}
id: 9680006
{'hecke_orbit_code': 481220886618, 'n': 39, 'trace_an': -27399560}
id: 9680007
{'hecke_orbit_code': 481220886618, 'n': 40, 'trace_an': 0}
id: 9680008
{'hecke_orbit_code': 481220886618, 'n': 41, 'trace_an': 306039276}
id: 9680009
{'hecke_orbit_code': 481220886618, 'n': 42, 'trace_an': 146895872}
id: 9680010
{'hecke_orbit_code': 481220886618, 'n': 43, 'trace_an': 173186188}
id: 9680011
{'hecke_orbit_code': 481220886618, 'n': 44, 'trace_an': 0}
id: 9680012
{'hecke_orbit_code': 481220886618, 'n': 45, 'trace_an': 8500000}
id: 9680013
{'hecke_orbit_code': 481220886618, 'n': 46, 'trace_an': 366913920}
id: 9680014
{'hecke_orbit_code': 481220886618, 'n': 47, 'trace_an': -1316963016}
id: 9680015
{'hecke_orbit_code': 481220886618, 'n': 48, 'trace_an': 11534336}
id: 9680016
{'hecke_orbit_code': 481220886618, 'n': 49, 'trace_an': -1286128428}
id: 9680017
{'hecke_orbit_code': 481220886618, 'n': 50, 'trace_an': 0}
id: 9680018
{'hecke_orbit_code': 481220886618, 'n': 51, 'trace_an': 1792903968}
id: 9680019
{'hecke_orbit_code': 481220886618, 'n': 52, 'trace_an': -287283200}
id: 9680020
{'hecke_orbit_code': 481220886618, 'n': 53, 'trace_an': 0}
id: 9680021
{'hecke_orbit_code': 481220886618, 'n': 54, 'trace_an': -1612000448}
id: 9680022
{'hecke_orbit_code': 481220886618, 'n': 55, 'trace_an': 0}
id: 9680023
{'hecke_orbit_code': 481220886618, 'n': 56, 'trace_an': -89948160}
id: 9680024
{'hecke_orbit_code': 481220886618, 'n': 57, 'trace_an': -2228035028}
id: 9680025
{'hecke_orbit_code': 481220886618, 'n': 58, 'trace_an': 0}
id: 9680026
{'hecke_orbit_code': 481220886618, 'n': 59, 'trace_an': 5720414040}
id: 9680027
{'hecke_orbit_code': 481220886618, 'n': 60, 'trace_an': 352000000}
id: 9680028
{'hecke_orbit_code': 481220886618, 'n': 61, 'trace_an': -1218762932}
id: 9680029
{'hecke_orbit_code': 481220886618, 'n': 62, 'trace_an': 0}
id: 9680030
{'hecke_orbit_code': 481220886618, 'n': 63, 'trace_an': -6364657976}
id: 9680031
{'hecke_orbit_code': 481220886618, 'n': 64, 'trace_an': -10737418240}
id: 9680032
{'hecke_orbit_code': 481220886618, 'n': 65, 'trace_an': -2716312500}
id: 9680033
{'hecke_orbit_code': 481220886618, 'n': 66, 'trace_an': -6187488768}
id: 9680034
{'hecke_orbit_code': 481220886618, 'n': 67, 'trace_an': 1597633744}
id: 9680035
{'hecke_orbit_code': 481220886618, 'n': 68, 'trace_an': 1475831808}
id: 9680036
{'hecke_orbit_code': 481220886618, 'n': 69, 'trace_an': 18144078528}
id: 9680037
{'hecke_orbit_code': 481220886618, 'n': 70, 'trace_an': 183000000}
id: 9680038
{'hecke_orbit_code': 481220886618, 'n': 71, 'trace_an': 0}
id: 9680039
{'hecke_orbit_code': 481220886618, 'n': 72, 'trace_an': 948699136}
id: 9680040
{'hecke_orbit_code': 481220886618, 'n': 73, 'trace_an': -10426752656}
id: 9680041
{'hecke_orbit_code': 481220886618, 'n': 74, 'trace_an': -15538503168}
id: 9680042
{'hecke_orbit_code': 481220886618, 'n': 75, 'trace_an': -85937500}
id: 9680043
{'hecke_orbit_code': 481220886618, 'n': 76, 'trace_an': 1518714880}
id: 9680044
{'hecke_orbit_code': 481220886618, 'n': 77, 'trace_an': 18397247724}
id: 9680045
{'hecke_orbit_code': 481220886618, 'n': 78, 'trace_an': 14163069824}
id: 9680046
{'hecke_orbit_code': 481220886618, 'n': 79, 'trace_an': 3046073392}
id: 9680047
{'hecke_orbit_code': 481220886618, 'n': 80, 'trace_an': 0}
id: 9680048
{'hecke_orbit_code': 481220886618, 'n': 81, 'trace_an': -16327365376}
id: 9680049
{'hecke_orbit_code': 481220886618, 'n': 82, 'trace_an': 10345792512}
id: 9680050
{'hecke_orbit_code': 481220886618, 'n': 83, 'trace_an': -27645650316}
id: 9680051
{'hecke_orbit_code': 481220886618, 'n': 84, 'trace_an': -372180992}
id: 9680052
{'hecke_orbit_code': 481220886618, 'n': 85, 'trace_an': -2312062500}
id: 9680053
{'hecke_orbit_code': 481220886618, 'n': 86, 'trace_an': 6643133568}
id: 9680054
{'hecke_orbit_code': 481220886618, 'n': 87, 'trace_an': -5895407700}
id: 9680055
{'hecke_orbit_code': 481220886618, 'n': 88, 'trace_an': 3556835328}
id: 9680056
{'hecke_orbit_code': 481220886618, 'n': 89, 'trace_an': 0}
id: 9680057
{'hecke_orbit_code': 481220886618, 'n': 90, 'trace_an': 7832000000}
id: 9680058
{'hecke_orbit_code': 481220886618, 'n': 91, 'trace_an': 11114363408}
id: 9680059
{'hecke_orbit_code': 481220886618, 'n': 92, 'trace_an': -1028560896}
id: 9680060
{'hecke_orbit_code': 481220886618, 'n': 93, 'trace_an': 4525684516}
id: 9680061
{'hecke_orbit_code': 481220886618, 'n': 94, 'trace_an': -6416128320}
id: 9680062
{'hecke_orbit_code': 481220886618, 'n': 95, 'trace_an': -17922375000}
id: 9680063
{'hecke_orbit_code': 481220886618, 'n': 96, 'trace_an': 2332033024}
id: 9680064
{'hecke_orbit_code': 481220886618, 'n': 97, 'trace_an': -10980388424}
id: 9680065
{'hecke_orbit_code': 481220886618, 'n': 98, 'trace_an': 0}
id: 9680066
{'hecke_orbit_code': 481220886618, 'n': 99, 'trace_an': -78067269744}
id: 9680067
{'hecke_orbit_code': 481220886618, 'n': 100, 'trace_an': 80000000000}

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.