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': 21632, 'analytic_conductor': 105.58613861363315, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [13, 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': [338, 1, [171], [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': [[3, [-12, 1]], [5, [-210, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510799016329554, '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': False, 'label': '338.8.a.d', 'level': 338, '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, 13], 'level_radical': 26, 'minimal_twist': '2.8.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+8q^{2}+12q^{3}+2^{6}q^{4}+210q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '338.8.a', 'trace_display': [8, 12, 210, -1016], 'trace_hash': 1059056333764834370, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.980', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.927', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.737', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [1, 8, 12, 64, 210, 96, -1016, 512, -2043, 1680, -1092, 768, 0, -8128, 2520, 4096, 14706, -16344, 39940, 13440, -12192, -8736, 68712, 6144, -34025, 0, -50760, -65024, -102570, 20160, -227552, 32768, -13104, 117648, -213360, -130752, -160526, 319520, 0, 107520, -10842, -97536, -630748, -69888, -429030, 549696, -472656, 49152, 208713, -272200, 176472, 0, -1494018, -406080, -229320, -520192, 479280, -820560, -2640660, 161280, 827702, -1820416, 2075688, 262144, 0, -104832, 126004, 941184, 824544, -1706880, 1414728, -1046016, -980282, -1284208, -408300, 2556160, 1109472, 0, -3566800, 860160, 3858921, -86736, -5672892, -780288, 3088260, -5045984, -1230840, -559104, 11951190, -3432240, 0, 4397568, -2730624, -3781248, 8387400, 393216, -8682146, 1669704, 2230956, -2177600, -10079538, 1411776, 3747992, 0, 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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], [8], [12], [64], [210], [96], [-1016], [512], [-2043], [1680], [-1092], [768], [0], [-8128], [2520], [4096], [14706], [-16344], [39940], [13440], [-12192], [-8736], [68712], [6144], [-34025], [0], [-50760], [-65024], [-102570], [20160], [-227552], [32768], [-13104], [117648], [-213360], [-130752], [-160526], [319520], [0], [107520], [-10842], [-97536], [-630748], [-69888], [-429030], [549696], [-472656], [49152], [208713], [-272200], [176472], [0], [-1494018], [-406080], [-229320], [-520192], [479280], [-820560], [-2640660], [161280], [827702], [-1820416], [2075688], [262144], [0], [-104832], [126004], [941184], [824544], [-1706880], [1414728], [-1046016], [-980282], [-1284208], [-408300], [2556160], [1109472], [0], [-3566800], [860160], [3858921], [-86736], [-5672892], [-780288], [3088260], [-5045984], [-1230840], [-559104], [11951190], [-3432240], [0], [4397568], [-2730624], [-3781248], [8387400], [393216], [-8682146], [1669704], [2230956], [-2177600]], 'ap': [[8], [12], 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[-288720141424], [84906558658], [-563029563894], [356792336850], [764499178232], [192125264298], [-875698696980], [262085411342], [557885774044], [-282104534352], [-111181495554], [-897365109452], [-1170045749306], [-353227546662], [776302744112], [780069575390], [-122470235478], [954226282080], [-182432454372], [1029608418066], [1376781587448], [110041109074], [799526803962], [-348888747024], [142765520460], [407897781356], [-487157108518], [-690371459526], [652281191368], [693825221162], [-375202383828], [368309716580], [1120039859568], [1307697300030], [-805416122488], [-232108358794], [-574806444540], [26766212832], [196567115038], [-159616571310], [400704899786], [1338057814218], [-967136870202], [-1604628975656], [18361844574], [459359359060], [-257582978712], [-769207799312], [-1046255246914], [-723508132052], [206872492416], [1328148964990], [-335041625262], [668233459260], [-781071089284], [19509318168], [1383481551722], [-659699331680], [-1436478333990], [100758459812], [1508879472258], [816810404170], [543595773762], [-810926668976], [1216609318614], [-461567373390], [666528424472], [-1743647911046], [-1298443822482], [-2029635768092], [-1833591575820], [-280430443918], [-1817453147874], [1608458516532], [-1963432441108], [-2182294637734], [1148104773702], [-1568589117120], [988542510776], [-809549234226], [-874485553368], [-557781133290], [2616857237554], [25883011824], [627472431060], [52110226438], [-1351693640166], [-1187921108868], [-748110462570], [-601440810932], [1322158032840]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 13510799016329554, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '338.8.a.d', 'level': 338, 'maxp': 2999, 'weight': 8}

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': [23, 22, 20, 25], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [7, 7, 7, 7], 'ALdims_old': [56, 52, 55, 52], 'Nk2': 21632, 'analytic_conductor': 105.58613861363315, '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': [338, 1, [171], [1]], 'conrey_index': 1, 'cusp_dim': 305, 'dim': 90, 'eis_dim': 28, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 134218066, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 8, 8, 9, 9, 12, 12], 'label': '338.8.a', 'level': 338, '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, 13], 'level_radical': 26, 'mf_dim': 333, 'mf_new_dim': 90, 'num_forms': 18, 'plus_dim': 48, 'prim_orbit_index': 1, 'relative_dim': 90, 'sturm_bound': 364, 'trace_bound': 3, 'trace_display': 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-160669121104, 36521668864, 115154196282, 301318717120, 20671324936, -13228785664, 26127717104, -22441879520, -224248877594, 60381713792, 39151503060, -41192862528, 0, 26110615552, -74480530152, -36616309632, -77258603188, 56716551936, -36657483516, 2968912992, 44713737016, -14890457088, 328429571032, 49086221280, -45536161628, 0, 402911114912, -93725128256, -179544305748, 15383134208, -157352074140, -31355953216, -93389130964, -23040002304, 269308709402, 71572144400, 220045206200, 38301312000], 'weight': 8, 'weight_parity': 1}

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: 260699
{'conductor': 13, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '2.8.a.a', 'target_level': 2, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '13.b', 'twisting_char_orbit': 2, 'weight': 8}
id: 260700
{'conductor': 52, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '16.8.a.b', 'target_level': 16, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '52.b', 'twisting_char_orbit': 2, 'weight': 8}
id: 260701
{'conductor': 39, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '18.8.a.b', 'target_level': 18, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '39.d', 'twisting_char_orbit': 4, 'weight': 8}
id: 260702
{'conductor': 65, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '50.8.a.g', 'target_level': 50, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '65.d', 'twisting_char_orbit': 4, 'weight': 8}
id: 260703
{'conductor': 65, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '50.8.b.c', 'target_level': 50, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '65.h', 'twisting_char_orbit': 8, 'weight': 8}
id: 260704
{'conductor': 104, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '64.8.a.c', 'target_level': 64, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '104.e', 'twisting_char_orbit': 5, 'weight': 8}
id: 260705
{'conductor': 104, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '64.8.a.e', 'target_level': 64, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '104.h', 'twisting_char_orbit': 8, 'weight': 8}
id: 260706
{'conductor': 91, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '98.8.a.a', 'target_level': 98, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '91.b', 'twisting_char_orbit': 2, 'weight': 8}
id: 260707
{'conductor': 91, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '98.8.c.d', 'target_level': 98, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '91.r', 'twisting_char_orbit': 18, 'weight': 8}
id: 260708
{'conductor': 91, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '98.8.c.e', 'target_level': 98, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '91.s', 'twisting_char_orbit': 19, 'weight': 8}
id: 260709
{'conductor': 156, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '144.8.a.i', 'target_level': 144, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '156.h', 'twisting_char_orbit': 8, 'weight': 8}
id: 260710
{'conductor': 117, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '162.8.c.a', 'target_level': 162, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '117.n', 'twisting_char_orbit': 14, 'weight': 8}
id: 260711
{'conductor': 117, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '162.8.c.l', 'target_level': 162, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '117.t', 'twisting_char_orbit': 20, 'weight': 8}
id: 260712
{'conductor': 143, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '242.8.a.e', 'target_level': 242, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '143.d', 'twisting_char_orbit': 4, 'weight': 8}
id: 260713
{'conductor': 208, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '256.8.b.b', 'target_level': 256, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '208.p', 'twisting_char_orbit': 16, 'weight': 8}
id: 260714
{'conductor': 208, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '256.8.b.f', 'target_level': 256, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '208.o', 'twisting_char_orbit': 15, 'weight': 8}
id: 260715
{'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '338.8.a.d', 'target_level': 338, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 8}
id: 260716
{'conductor': 13, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '338.8.b.d', 'target_level': 338, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '13.d', 'twisting_char_orbit': 4, 'weight': 8}
id: 260717
{'conductor': 260, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '400.8.a.l', 'target_level': 400, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '260.g', 'twisting_char_orbit': 7, 'weight': 8}
id: 260718
{'conductor': 260, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '400.8.c.j', 'target_level': 400, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '260.p', 'twisting_char_orbit': 16, 'weight': 8}
id: 260719
{'conductor': 195, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '450.8.a.c', 'target_level': 450, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '195.e', 'twisting_char_orbit': 5, 'weight': 8}
id: 260720
{'conductor': 195, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '450.8.c.g', 'target_level': 450, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '195.s', 'twisting_char_orbit': 19, 'weight': 8}
id: 260721
{'conductor': 312, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '576.8.a.f', 'target_level': 576, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '312.h', 'twisting_char_orbit': 8, 'weight': 8}
id: 260722
{'conductor': 312, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '576.8.a.g', 'target_level': 576, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '312.b', 'twisting_char_orbit': 2, 'weight': 8}
id: 260723
{'conductor': 221, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '338.8.a.d', 'source_level': 338, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '578.8.a.b', 'target_level': 578, 'twist_class_label': '2.8.a.a', 'twist_class_level': 2, 'twisting_char_label': '221.b', 'twisting_char_orbit': 2, 'weight': 8}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 737775
{'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 2}
id: 737776
{'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 3}
id: 737777
{'charpoly_factorization': [[[-210, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 5}
id: 737778
{'charpoly_factorization': [[[1016, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 7}
id: 737779
{'charpoly_factorization': [[[1092, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 11}
id: 737780
{'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 13}
id: 737781
{'charpoly_factorization': [[[-14706, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 17}
id: 737782
{'charpoly_factorization': [[[-39940, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 19}
id: 737783
{'charpoly_factorization': [[[-68712, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 23}
id: 737784
{'charpoly_factorization': [[[102570, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 29}
id: 737785
{'charpoly_factorization': [[[227552, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 31}
id: 737786
{'charpoly_factorization': [[[160526, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 37}
id: 737787
{'charpoly_factorization': [[[10842, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 41}
id: 737788
{'charpoly_factorization': [[[630748, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 43}
id: 737789
{'charpoly_factorization': [[[472656, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 47}
id: 737790
{'charpoly_factorization': [[[1494018, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 53}
id: 737791
{'charpoly_factorization': [[[2640660, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 59}
id: 737792
{'charpoly_factorization': [[[-827702, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 61}
id: 737793
{'charpoly_factorization': [[[-126004, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 67}
id: 737794
{'charpoly_factorization': [[[-1414728, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 71}
id: 737795
{'charpoly_factorization': [[[980282, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 73}
id: 737796
{'charpoly_factorization': [[[3566800, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 79}
id: 737797
{'charpoly_factorization': [[[5672892, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 83}
id: 737798
{'charpoly_factorization': [[[-11951190, 1], 1]], 'hecke_orbit_code': 13510799016329554, 'p': 89}
id: 737799
{'charpoly_factorization': [[[8682146, 1], 1]], 'hecke_orbit_code': 13510799016329554, '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': 4, 'label': '338.8.a.d', 'level': 338, 'portrait': 'data:image/png;base64,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', 'weight': 8}

Column	Type
hecke_orbit_code	bigint
n	integer
trace_an	numeric

mf_hecke_traces • Show schema

id: 35388031
{'hecke_orbit_code': 13510799016329554, 'n': 1, 'trace_an': 1}
id: 35388032
{'hecke_orbit_code': 13510799016329554, 'n': 2, 'trace_an': 8}
id: 35388033
{'hecke_orbit_code': 13510799016329554, 'n': 3, 'trace_an': 12}
id: 35388034
{'hecke_orbit_code': 13510799016329554, 'n': 4, 'trace_an': 64}
id: 35388035
{'hecke_orbit_code': 13510799016329554, 'n': 5, 'trace_an': 210}
id: 35388036
{'hecke_orbit_code': 13510799016329554, 'n': 6, 'trace_an': 96}
id: 35388037
{'hecke_orbit_code': 13510799016329554, 'n': 7, 'trace_an': -1016}
id: 35388038
{'hecke_orbit_code': 13510799016329554, 'n': 8, 'trace_an': 512}
id: 35388039
{'hecke_orbit_code': 13510799016329554, 'n': 9, 'trace_an': -2043}
id: 35388040
{'hecke_orbit_code': 13510799016329554, 'n': 10, 'trace_an': 1680}
id: 35388041
{'hecke_orbit_code': 13510799016329554, 'n': 11, 'trace_an': -1092}
id: 35388042
{'hecke_orbit_code': 13510799016329554, 'n': 12, 'trace_an': 768}
id: 35388043
{'hecke_orbit_code': 13510799016329554, 'n': 13, 'trace_an': 0}
id: 35388044
{'hecke_orbit_code': 13510799016329554, 'n': 14, 'trace_an': -8128}
id: 35388045
{'hecke_orbit_code': 13510799016329554, 'n': 15, 'trace_an': 2520}
id: 35388046
{'hecke_orbit_code': 13510799016329554, 'n': 16, 'trace_an': 4096}
id: 35388047
{'hecke_orbit_code': 13510799016329554, 'n': 17, 'trace_an': 14706}
id: 35388048
{'hecke_orbit_code': 13510799016329554, 'n': 18, 'trace_an': -16344}
id: 35388049
{'hecke_orbit_code': 13510799016329554, 'n': 19, 'trace_an': 39940}
id: 35388050
{'hecke_orbit_code': 13510799016329554, 'n': 20, 'trace_an': 13440}
id: 35388051
{'hecke_orbit_code': 13510799016329554, 'n': 21, 'trace_an': -12192}
id: 35388052
{'hecke_orbit_code': 13510799016329554, 'n': 22, 'trace_an': -8736}
id: 35388053
{'hecke_orbit_code': 13510799016329554, 'n': 23, 'trace_an': 68712}
id: 35388054
{'hecke_orbit_code': 13510799016329554, 'n': 24, 'trace_an': 6144}
id: 35388055
{'hecke_orbit_code': 13510799016329554, 'n': 25, 'trace_an': -34025}
id: 35388056
{'hecke_orbit_code': 13510799016329554, 'n': 26, 'trace_an': 0}
id: 35388057
{'hecke_orbit_code': 13510799016329554, 'n': 27, 'trace_an': -50760}
id: 35388058
{'hecke_orbit_code': 13510799016329554, 'n': 28, 'trace_an': -65024}
id: 35388059
{'hecke_orbit_code': 13510799016329554, 'n': 29, 'trace_an': -102570}
id: 35388060
{'hecke_orbit_code': 13510799016329554, 'n': 30, 'trace_an': 20160}
id: 35388061
{'hecke_orbit_code': 13510799016329554, 'n': 31, 'trace_an': -227552}
id: 35388062
{'hecke_orbit_code': 13510799016329554, 'n': 32, 'trace_an': 32768}
id: 35388063
{'hecke_orbit_code': 13510799016329554, 'n': 33, 'trace_an': -13104}
id: 35388064
{'hecke_orbit_code': 13510799016329554, 'n': 34, 'trace_an': 117648}
id: 35388065
{'hecke_orbit_code': 13510799016329554, 'n': 35, 'trace_an': -213360}
id: 35388066
{'hecke_orbit_code': 13510799016329554, 'n': 36, 'trace_an': -130752}
id: 35388067
{'hecke_orbit_code': 13510799016329554, 'n': 37, 'trace_an': -160526}
id: 35388068
{'hecke_orbit_code': 13510799016329554, 'n': 38, 'trace_an': 319520}
id: 35388069
{'hecke_orbit_code': 13510799016329554, 'n': 39, 'trace_an': 0}
id: 35388070
{'hecke_orbit_code': 13510799016329554, 'n': 40, 'trace_an': 107520}
id: 35388071
{'hecke_orbit_code': 13510799016329554, 'n': 41, 'trace_an': -10842}
id: 35388072
{'hecke_orbit_code': 13510799016329554, 'n': 42, 'trace_an': -97536}
id: 35388073
{'hecke_orbit_code': 13510799016329554, 'n': 43, 'trace_an': -630748}
id: 35388074
{'hecke_orbit_code': 13510799016329554, 'n': 44, 'trace_an': -69888}
id: 35388075
{'hecke_orbit_code': 13510799016329554, 'n': 45, 'trace_an': -429030}
id: 35388076
{'hecke_orbit_code': 13510799016329554, 'n': 46, 'trace_an': 549696}
id: 35388077
{'hecke_orbit_code': 13510799016329554, 'n': 47, 'trace_an': -472656}
id: 35388078
{'hecke_orbit_code': 13510799016329554, 'n': 48, 'trace_an': 49152}
id: 35388079
{'hecke_orbit_code': 13510799016329554, 'n': 49, 'trace_an': 208713}
id: 35388080
{'hecke_orbit_code': 13510799016329554, 'n': 50, 'trace_an': -272200}
id: 35388081
{'hecke_orbit_code': 13510799016329554, 'n': 51, 'trace_an': 176472}
id: 35388082
{'hecke_orbit_code': 13510799016329554, 'n': 52, 'trace_an': 0}
id: 35388083
{'hecke_orbit_code': 13510799016329554, 'n': 53, 'trace_an': -1494018}
id: 35388084
{'hecke_orbit_code': 13510799016329554, 'n': 54, 'trace_an': -406080}
id: 35388085
{'hecke_orbit_code': 13510799016329554, 'n': 55, 'trace_an': -229320}
id: 35388086
{'hecke_orbit_code': 13510799016329554, 'n': 56, 'trace_an': -520192}
id: 35388087
{'hecke_orbit_code': 13510799016329554, 'n': 57, 'trace_an': 479280}
id: 35388088
{'hecke_orbit_code': 13510799016329554, 'n': 58, 'trace_an': -820560}
id: 35388089
{'hecke_orbit_code': 13510799016329554, 'n': 59, 'trace_an': -2640660}
id: 35388090
{'hecke_orbit_code': 13510799016329554, 'n': 60, 'trace_an': 161280}
id: 35388091
{'hecke_orbit_code': 13510799016329554, 'n': 61, 'trace_an': 827702}
id: 35388092
{'hecke_orbit_code': 13510799016329554, 'n': 62, 'trace_an': -1820416}
id: 35388093
{'hecke_orbit_code': 13510799016329554, 'n': 63, 'trace_an': 2075688}
id: 35388094
{'hecke_orbit_code': 13510799016329554, 'n': 64, 'trace_an': 262144}
id: 35388095
{'hecke_orbit_code': 13510799016329554, 'n': 65, 'trace_an': 0}
id: 35388096
{'hecke_orbit_code': 13510799016329554, 'n': 66, 'trace_an': -104832}
id: 35388097
{'hecke_orbit_code': 13510799016329554, 'n': 67, 'trace_an': 126004}
id: 35388098
{'hecke_orbit_code': 13510799016329554, 'n': 68, 'trace_an': 941184}
id: 35388099
{'hecke_orbit_code': 13510799016329554, 'n': 69, 'trace_an': 824544}
id: 35388100
{'hecke_orbit_code': 13510799016329554, 'n': 70, 'trace_an': -1706880}
id: 35388101
{'hecke_orbit_code': 13510799016329554, 'n': 71, 'trace_an': 1414728}
id: 35388102
{'hecke_orbit_code': 13510799016329554, 'n': 72, 'trace_an': -1046016}
id: 35388103
{'hecke_orbit_code': 13510799016329554, 'n': 73, 'trace_an': -980282}
id: 35388104
{'hecke_orbit_code': 13510799016329554, 'n': 74, 'trace_an': -1284208}
id: 35388105
{'hecke_orbit_code': 13510799016329554, 'n': 75, 'trace_an': -408300}
id: 35388106
{'hecke_orbit_code': 13510799016329554, 'n': 76, 'trace_an': 2556160}
id: 35388107
{'hecke_orbit_code': 13510799016329554, 'n': 77, 'trace_an': 1109472}
id: 35388108
{'hecke_orbit_code': 13510799016329554, 'n': 78, 'trace_an': 0}
id: 35388109
{'hecke_orbit_code': 13510799016329554, 'n': 79, 'trace_an': -3566800}
id: 35388110
{'hecke_orbit_code': 13510799016329554, 'n': 80, 'trace_an': 860160}
id: 35388111
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Overview	Random
Universe	Knowledge

Classical	Maass
Hilbert	Bianchi

Elliptic curves over $\Q$
Elliptic curves over $\Q(\alpha)$
Genus 2 curves over $\Q$
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.