Embedded newform data - 392.6.a.a.1.1

Formats: - HTML - YAML - JSON - 2024-12-08T01:10:45.892904

• mf_newforms •

  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

  
  {'Nk2': 14112, 'analytic_conductor': 62.870457366688406, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [7, -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': [392, 1, [295, 197, 297], [1, 1, 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, [30, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 100663688, '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': '392.6.a.a', 'level': 392, 'level_is_powerful': True, '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, 7], 'level_radical': 14, 'minimal_twist': '56.6.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-30q^{3}-2^{5}q^{5}+657q^{9}-624q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '392.6.a', 'trace_display': [0, -30, -32, 0], 'trace_hash': 418489025681640492, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.006', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.974', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.915', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.734', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [1, 0, -30, 0, -32, 0, 0, 0, 657, 0, -624, 0, 708, 0, 960, 0, -934, 0, -1858, 0, 0, 0, -1120, 0, -2101, 0, -12420, 0, -1174, 0, -2908, 0, 18720, 0, 0, 0, -12462, 0, -21240, 0, -2662, 0, -7144, 0, -21024, 0, 7468, 0, 0, 0, 28020, 0, -27274, 0, 19968, 0, 55740, 0, -2490, 0, 11096, 0, 0, 0, -22656, 0, 39756, 0, 33600, 0, -69888, 0, -16450, 0, 63030, 0, 0, 0, 78376, 0, 212949, 0, -109818, 0, 29888, 0, 35220, 0, 56966, 0, 0, 0, 87240, 0, 59456, 0, 115946, 0, -409968, 0, -8352, 0, -179484, 0, 0, 0, -53892, 0, 105970, 0, 373860, 0, 2502, 0, 35840, 0, 465156, 0, 0, 0, 228325, 0, 79860, 0, 167232, 0, 287792, 0, 214320, 0, 47662, 0, 0, 0, 397440, 0, 223154, 0, -250542, 0, -224040, 0, -441792, 0, 37568, 0, 0, 0, -487394, 0, -54680, 0, -613638, 0, 93056, 0, -211068, 0, 818220, 0, 0, 0, -20192, 0, -599040, 0, 4524, 0, 129971, 0, -1220706, 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• mf_hecke_cc •

  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

  
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-0.3661792463927228, -0.2574133842486168, -0.219429266293957, -0.1590256778786428, -0.40375882819901693, -0.2789094432973247, -0.125146317301804, -0.41952981318980836, -0.1877618363612407, -0.14242720111758453, -0.2564848115731942, -0.40683163329623107, -0.2865321630428183, -0.17975772478483898, -0.2485331440016671, -0.10460823498780128, -0.23064222327657263, -0.16521203976082843, -0.3426742873180862, -0.4279465559192123, -0.26555492396884156, -0.30550110859761337, -0.2547376677802772, -0.24900109449704397, -0.22884700974173172, -0.2878012425768087, -0.3834984611273183, -0.27400244115552885, -0.21443934705036288, -0.18683800828587951, -0.278253219856513, -0.1620309406423828, -0.23018446959929958, -0.1555796621173012, -0.18896435587269547, -0.24536904234384327, -0.2281518153264377, -0.30074423033908954, -0.12201940095897225, -0.2875337467497509, -0.12796485177993847, -0.34727011709053224, -0.287084036293465, -0.21313345017061328, -0.2132264321536347, -0.19797781021894345, 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-0.2131755162387619, -0.47897757188859086, -0.3192253524250449, -0.2561480671509121, -0.14978336285009863, -0.23392727981832903, -0.23139701703059384, -0.24401040688518025, -0.2688184289263869, -0.386099081717001, -0.23010665835511543, -0.18008011511674613, -0.38607395964791724, -0.20126713973365826, -0.1974921951354545, -0.29127785974078857, -0.32639011880502816, -0.3118351284986843, -0.14930318799557132, -0.2572188334892138, -0.1912673753626307, -0.3277391031145838, -0.3435837196489756, -0.2031730193500117, -0.44798847209874604, -0.28787551330747285, -0.4208803212398151, -0.45644483388782897, -0.1554025173475931, -0.2006427226051103, -0.15823818754272276, -0.19577975714893367, -0.2771407286732035, -0.25625027500287956, -0.3415495100648683, -0.3068381151637489, -0.36604648763139586, -0.20193392204365837, -0.3078150244183751, -0.3187206345718581, -0.4217855127752431, -0.38948605587121915, -0.24151536126272258, -0.38315301223671466, -0.3478255862070383, -0.18839588643489386, -0.18819378460545175, -0.3464881897893034, -0.1943060840664664, -0.1715608404171372, -0.3274112429932622, -0.21075533076810685, -0.25187729440226053, -0.190522922850541, -0.35127430284935274, -0.10837771889582527, -0.323838605410089, -0.1948812981192789, -0.27489143670222393, -0.21013413151352764, -0.2445093320924687], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 1, 'hecke_orbit_code': 100663688, 'label': '392.6.a.a.1.1', 'level': 392, 'weight': 6}
• mf_newspaces •

  Column	Type
  ALdims	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

  
  {'ALdims': [11, 14, 13, 13], 'Nk2': 14112, 'analytic_conductor': 62.870457366688406, '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': [392, 1, [295, 197, 297], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 264, 'dim': 51, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 100663688, 'hecke_orbit_dims': [1, 1, 1, 2, 2, 2, 4, 4, 5, 5, 5, 5, 6, 8], 'label': '392.6.a', 'level': 392, 'level_is_powerful': True, '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, 7], 'level_radical': 14, 'mf_dim': 296, 'mf_new_dim': 51, 'num_forms': 14, 'plus_dim': 24, 'prim_orbit_index': 1, 'relative_dim': 51, 'sturm_bound': 336, 'trace_bound': 9, 'trace_display': [0, 2, -24, 0], 'traces': [51, 0, 2, 0, -24, 0, 0, 0, 3827, 0, 144, 0, 700, 0, -1388, 0, -1126, 0, 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0, 46635692, 0, 0, 0, 76980484, 0, 13842638, 0, -12486208, 0, 3681380, 0, 35246626, 0, -8196656, 0, 0, 0, -15375834, 0, 40666128, 0, 25680624, 0, 10962856, 0, -37773458, 0, -47288164, 0, 0, 0, 37272484, 0, 27041560, 0, -6543126, 0, 58882988, 0, 29168060, 0, -14818922, 0, 0, 0, 24311892, 0, -53669732, 0, 4463606, 0, -82972628, 0, -36899832, 0, 41161568, 0, 0, 0, 43032520, 0, -8215102, 0, 8766912, 0, -31088534, 0, 58959110, 0, -1609728, 0, 0, 0, -19403877, 0, 41392452, 0, 38089908, 0, 34512488, 0, -46256680, 0, -59898048, 0, 0, 0, -27383048, 0, -22469266, 0, -16426190, 0, 66078080, 0, 10453868, 0, 1776896, 0, 0, 0, -54961910, 0, -45412516, 0, 1961710, 0, -2038188, 0, -13919952, 0, 90294416, 0, 0, 0, -6430360, 0, 12106640, 0, -35136352, 0, 17693722, 0, 90174100, 0, 6694660, 0, 0, 0, -75732388, 0, -50991120, 0, -9262320, 0, -72211340, 0, -16211416, 0, -69524338, 0, 0, 0, -39694184, 0, 74286544, 0, -28530124, 0, -9744554, 0, -18726820, 0, -34411776, 0, 0, 0, -24673342, 0, -173720552, 0, 28782592, 0, -23103784, 0, -37485072, 0, 114404020, 0, 0, 0, 43290236, 0, 17421146, 0, 33343220, 0, 30862343, 0, 42836208, 0, -28706288, 0, 0, 0, 6730868, 0, 61732264, 0, -26744016, 0, 57351432, 0, -9508240, 0, -139199994, 0, 0, 0, -40811236, 0, -45130872, 0, -26434688, 0, -53313794, 0, -61775360, 0, -18794030, 0, 0, 0, 79467416, 0, -84785808, 0, -2341774, 0, -49146604, 0, -5152976, 0, 105665068, 0, 0, 0, 111466704, 0, 17735792, 0, 40258648, 0, -21420116, 0, 25654646, 0, -36143232, 0, 0, 0, 83550032, 0, -21545228, 0, 9188324, 0, 37317540, 0, 64295830, 0, -109209696, 0, 0, 0, -59967180, 0, 41134346, 0, -19108386, 0, -100101348, 0, -92585888, 0, 23359280, 0, 0, 0, -14021866, 0, 39866492, 0, -62389504, 0, -95875484, 0, 71928880, 0, 124096972, 0, 0, 0, 31106528, 0, -175917652, 0, -11223084, 0, 115752229, 0, -4125772, 0, 35513560, 0, 0, 0, -76604524, 0, 189129860, 0, -30308756, 0, 240522480, 0, 10576978, 0, -146391758, 0, 0, 0, -236390068, 0, -43817412, 0, -3316570, 0, -89393092, 0, -40012976, 0, 27571498, 0, 0, 0, -7649766, 0, -94026672, 0, 47409926, 0, -75822580, 0, 60948224, 0, 99914564, 0, 0, 0, -61404120, 0, 56736660, 0, 132755168, 0, -120946376, 0, -46229080, 0, 92592764, 0, 0, 0, -36849344, 0, 94612968, 0, -22905400, 0, 231171504, 0, 122055040, 0, -284768000, 0, 0, 0, -124596300, 0, -180651928, 0, -79203776, 0, 57629522, 0, -165908188, 0, 5857306, 0, 0, 0, 112157588, 0, 35427396, 0, -93472018, 0, -351592548, 0, 139974016, 0, 114735168, 0, 0, 0, 227389536, 0, -175692248, 0, 180925100, 0, -93149306, 0, -28786176, 0, 21976320, 0, 0, 0, 188228679, 0, 168947436, 0, 20267600, 0, 261366616, 0, 83404920, 0, -133121562, 0, 0, 0, -50649624, 0, 34170670, 0, 3734688, 0, 133634302, 0, -226996028, 0, 33458416, 0, 0, 0, 180133504, 0, -102496348, 0, -55077808, 0, 144941308, 0, 54372864, 0, 214351288, 0], 'weight': 6, 'weight_parity': 1}
• mf_twists_cc •

  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

  
  
  • id: 388187
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663688, 'source_is_minimal': False, 'source_label': '392.6.a.a.1.1', 'source_level': 392, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 100663688, 'target_is_minimal': False, 'target_label': '392.6.a.a.1.1', 'target_level': 392, 'twist_class_label': '56.6.a.b.1.1', 'twist_class_level': 56, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 388188
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663688, 'source_is_minimal': False, 'source_label': '392.6.a.a.1.1', 'source_level': 392, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58546795256480528, 'target_is_minimal': False, 'target_label': '784.6.a.n.1.1', 'target_level': 784, 'twist_class_label': '56.6.a.b.1.1', 'twist_class_level': 56, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 388189
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663688, 'source_is_minimal': False, 'source_label': '392.6.a.a.1.1', 'source_level': 392, 'target_conrey_index': 361, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518547993330056, 'target_is_minimal': False, 'target_label': '392.6.i.f.361.1', 'target_level': 392, 'twist_class_label': '56.6.a.b.1.1', 'twist_class_level': 56, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 388190
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663688, 'source_is_minimal': False, 'source_label': '392.6.a.a.1.1', 'source_level': 392, 'target_conrey_index': 177, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 549856477576, 'target_is_minimal': False, 'target_label': '392.6.i.a.177.1', 'target_level': 392, 'twist_class_label': '56.6.a.b.1.1', 'twist_class_level': 56, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 388191
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663688, 'source_is_minimal': False, 'source_label': '392.6.a.a.1.1', 'source_level': 392, 'target_conrey_index': 177, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518547993330056, 'target_is_minimal': False, 'target_label': '392.6.i.f.177.1', 'target_level': 392, 'twist_class_label': '56.6.a.b.1.1', 'twist_class_level': 56, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 6}
  • id: 388192
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663688, 'source_is_minimal': False, 'source_label': '392.6.a.a.1.1', 'source_level': 392, 'target_conrey_index': 361, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 549856477576, 'target_is_minimal': False, 'target_label': '392.6.i.a.361.1', 'target_level': 392, 'twist_class_label': '56.6.a.b.1.1', 'twist_class_level': 56, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 6}
  • id: 388193
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663688, 'source_is_minimal': False, 'source_label': '392.6.a.a.1.1', 'source_level': 392, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599728033848, 'target_is_minimal': True, 'target_label': '56.6.a.b.1.1', 'target_level': 56, 'twist_class_label': '56.6.a.b.1.1', 'twist_class_level': 56, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 6}
  • id: 388194
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663688, 'source_is_minimal': False, 'source_label': '392.6.a.a.1.1', 'source_level': 392, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599728034296, 'target_is_minimal': False, 'target_label': '504.6.a.b.1.1', 'target_level': 504, 'twist_class_label': '56.6.a.b.1.1', 'twist_class_level': 56, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 6}
  • id: 388195
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663688, 'source_is_minimal': False, 'source_label': '392.6.a.a.1.1', 'source_level': 392, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 100663408, 'target_is_minimal': False, 'target_label': '112.6.a.a.1.1', 'target_level': 112, 'twist_class_label': '56.6.a.b.1.1', 'twist_class_level': 56, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 6}
  • id: 388196
    {'conductor': 56, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663688, 'source_is_minimal': False, 'source_label': '392.6.a.a.1.1', 'source_level': 392, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 100663744, 'target_is_minimal': False, 'target_label': '448.6.a.a.1.1', 'target_level': 448, 'twist_class_label': '56.6.a.b.1.1', 'twist_class_level': 56, 'twisting_char_label': '56.13', 'twisting_conrey_index': 13, 'weight': 6}
  • id: 388197
    {'conductor': 56, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663688, 'source_is_minimal': False, 'source_label': '392.6.a.a.1.1', 'source_level': 392, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994511221184, 'target_is_minimal': False, 'target_label': '448.6.a.p.1.1', 'target_level': 448, 'twist_class_label': '56.6.a.b.1.1', 'twist_class_level': 56, 'twisting_char_label': '56.27', 'twisting_conrey_index': 27, 'weight': 6}
  • id: 388198
    {'conductor': 84, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663688, 'source_is_minimal': False, 'source_label': '392.6.a.a.1.1', 'source_level': 392, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197492257776, 'target_is_minimal': False, 'target_label': '1008.6.a.h.1.1', 'target_level': 1008, 'twist_class_label': '56.6.a.b.1.1', 'twist_class_level': 56, 'twisting_char_label': '84.83', 'twisting_conrey_index': 83, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 822950
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 2}
  • id: 822951
    {'charpoly_factorization': [[[30, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 3}
  • id: 822952
    {'charpoly_factorization': [[[32, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 5}
  • id: 822953
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 7}
  • id: 822954
    {'charpoly_factorization': [[[624, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 11}
  • id: 822955
    {'charpoly_factorization': [[[-708, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 13}
  • id: 822956
    {'charpoly_factorization': [[[934, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 17}
  • id: 822957
    {'charpoly_factorization': [[[1858, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 19}
  • id: 822958
    {'charpoly_factorization': [[[1120, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 23}
  • id: 822959
    {'charpoly_factorization': [[[1174, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 29}
  • id: 822960
    {'charpoly_factorization': [[[2908, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 31}
  • id: 822961
    {'charpoly_factorization': [[[12462, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 37}
  • id: 822962
    {'charpoly_factorization': [[[2662, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 41}
  • id: 822963
    {'charpoly_factorization': [[[7144, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 43}
  • id: 822964
    {'charpoly_factorization': [[[-7468, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 47}
  • id: 822965
    {'charpoly_factorization': [[[27274, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 53}
  • id: 822966
    {'charpoly_factorization': [[[2490, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 59}
  • id: 822967
    {'charpoly_factorization': [[[-11096, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 61}
  • id: 822968
    {'charpoly_factorization': [[[-39756, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 67}
  • id: 822969
    {'charpoly_factorization': [[[69888, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 71}
  • id: 822970
    {'charpoly_factorization': [[[16450, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 73}
  • id: 822971
    {'charpoly_factorization': [[[-78376, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 79}
  • id: 822972
    {'charpoly_factorization': [[[109818, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 83}
  • id: 822973
    {'charpoly_factorization': [[[-56966, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 89}
  • id: 822974
    {'charpoly_factorization': [[[-115946, 1], 1]], 'hecke_orbit_code': 100663688, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 1, 'label': '392.6.a.a', 'level': 392, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 3319428
    {'hecke_orbit_code': 100663688, 'n': 1, 'trace_an': 1}
  • id: 3319429
    {'hecke_orbit_code': 100663688, 'n': 2, 'trace_an': 0}
  • id: 3319430
    {'hecke_orbit_code': 100663688, 'n': 3, 'trace_an': -30}
  • id: 3319431
    {'hecke_orbit_code': 100663688, 'n': 4, 'trace_an': 0}
  • id: 3319432
    {'hecke_orbit_code': 100663688, 'n': 5, 'trace_an': -32}
  • id: 3319433
    {'hecke_orbit_code': 100663688, 'n': 6, 'trace_an': 0}
  • id: 3319434
    {'hecke_orbit_code': 100663688, 'n': 7, 'trace_an': 0}
  • id: 3319435
    {'hecke_orbit_code': 100663688, 'n': 8, 'trace_an': 0}
  • id: 3319436
    {'hecke_orbit_code': 100663688, 'n': 9, 'trace_an': 657}
  • id: 3319437
    {'hecke_orbit_code': 100663688, 'n': 10, 'trace_an': 0}
  • id: 3319438
    {'hecke_orbit_code': 100663688, 'n': 11, 'trace_an': -624}
  • id: 3319439
    {'hecke_orbit_code': 100663688, 'n': 12, 'trace_an': 0}
  • id: 3319440
    {'hecke_orbit_code': 100663688, 'n': 13, 'trace_an': 708}
  • id: 3319441
    {'hecke_orbit_code': 100663688, 'n': 14, 'trace_an': 0}
  • id: 3319442
    {'hecke_orbit_code': 100663688, 'n': 15, 'trace_an': 960}
  • id: 3319443
    {'hecke_orbit_code': 100663688, 'n': 16, 'trace_an': 0}
  • id: 3319444
    {'hecke_orbit_code': 100663688, 'n': 17, 'trace_an': -934}
  • id: 3319445
    {'hecke_orbit_code': 100663688, 'n': 18, 'trace_an': 0}
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  • id: 3319661
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  • id: 3319662
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  • id: 3319663
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  • id: 3319665
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  • id: 3319669
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  • id: 3319670
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  • id: 3319671
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  • id: 3319672
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  • id: 3319673
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  • id: 3319674
    {'hecke_orbit_code': 100663688, 'n': 929, 'trace_an': -24591910}
  • id: 3319675
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  • id: 3319676
    {'hecke_orbit_code': 100663688, 'n': 941, 'trace_an': -640776}
  • id: 3319677
    {'hecke_orbit_code': 100663688, 'n': 947, 'trace_an': 20150152}
  • id: 3319678
    {'hecke_orbit_code': 100663688, 'n': 953, 'trace_an': -33321686}
  • id: 3319679
    {'hecke_orbit_code': 100663688, 'n': 961, 'trace_an': -20172687}
  • id: 3319680
    {'hecke_orbit_code': 100663688, 'n': 967, 'trace_an': 45185664}
  • id: 3319681
    {'hecke_orbit_code': 100663688, 'n': 971, 'trace_an': -26293498}
  • id: 3319682
    {'hecke_orbit_code': 100663688, 'n': 977, 'trace_an': 20254842}
  • id: 3319683
    {'hecke_orbit_code': 100663688, 'n': 983, 'trace_an': -9437820}
  • id: 3319684
    {'hecke_orbit_code': 100663688, 'n': 991, 'trace_an': 15326544}
  • id: 3319685
    {'hecke_orbit_code': 100663688, 'n': 997, 'trace_an': 2165144}