Embedded newform data - 50.18.a.f.1.1

Formats: - HTML - YAML - JSON - 2026-04-17T02:31:47.573083

• 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': 16200, 'analytic_conductor': 91.61104367227983, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, 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': [50, 1, [27], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 83281, 'field_disc_factorization': [[11, 1], [67, 1], [113, 1]], 'field_poly': [-20820, -1, 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, [-74525184, -1308, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22517998438842418, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 60, 'hecke_ring_index_factorization': [[2, 2], [3, 1], [5, 1]], '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': '50.18.a.f', 'level': 50, '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, 5], 'level_radical': 10, 'minimal_twist': '10.18.a.c', 'nf_label': '2.2.83281.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2^{8}q^{2}+(654-\\beta )q^{3}+2^{16}q^{4}+(167424+\\cdots)q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '17.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '50.18.a', 'trace_display': [512, 1308, 0, -603844], 'trace_hash': 509445201445926631, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.062', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.916', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.120', 'prec': 17}, {'__RealLiteral__': 0, 'data': '8.819', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.529', 'prec': 17}, {'__RealLiteral__': 0, 'data': '55.723', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, 512, 1308, 131072, 0, 334848, -603844, 33554432, -107519094, 0, -471481296, 85721088, 1541834228, -154584064, 0, 8589934592, -32139900564, -27524888064, 128672529400, 0, 435381246624, -120699211776, -650359859292, 21944598528, 0, 394709562368, -43156034280, -39573520384, 2543054749980, 0, 7839407998744, 2199023255552, 476857812816, -8227814544384, 0, -7046371344384, 27805209097556, 32940167526400, -12067623537288, 0, -37826364264156, 111457599135744, -29630453926852, -30898998214656, 0, -166492123978752, -220791583022004, 5617817223168, 801722584677954, 0, 647690491265544, 101045647966208, -1058306017600572, -11047944775680, 0, -10130821218304, 1186209507102000, 651022015994880, 1527820717235160, 0, -631738213122116, 2006888447678464, 602457597963468, 562949953421312, 0, 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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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[-0.1004969728453411, 0.0], [1.4088451361990089, 0.0], [-0.36307262854209105, 0.0], [-0.3835818898983762, 0.0], [0.0, 0.0], [-0.33217547101552847, 0.0], [-0.03504300132981106, 0.0], [-0.328987966637364, 0.0], [-0.6708159497116754, 0.0], [0.0, 0.0], [-0.5483649881432756, 0.0], [0.2192826351888827, 0.0], [0.10216576474624933, 0.0], [-1.3020009326182709, 0.0], [0.0, 0.0], [-1.3258269514881897, 0.0], [-0.6715081823914261, 0.0], [0.2622815743604322, 0.0], [0.18724800262323935, 0.0], [0.0, 0.0], [0.5190185318086549, 0.0], [-1.8421679666734954, 0.0], [0.012856390578167051, 0.0], [-0.1599074712909654, 0.0], [0.0, 0.0], [0.9568953813089456, 0.0], [0.2337702974666979, 0.0], [-0.7859208571822165, 0.0], [-0.0068516377343305025, 0.0], [0.0, 0.0], [-0.36635725351770326, 0.0], [0.6557138516357602, 0.0], [1.3501830635925747, 0.0], [-0.270689087533219, 0.0], [0.0, 0.0], [-1.749001432134318, 0.0], [-0.637357319938836, 0.0], [-0.35103323000784664, 0.0], [-0.4933170680654039, 0.0], [0.0, 0.0], [0.2734547970665801, 0.0], [-0.7297123999036608, 0.0], [-0.07944095546059254, 0.0], [-1.6154959356849787, 0.0], [0.0, 0.0], [0.09569235048235109, 0.0], [0.5945096883599317, 0.0], [0.0026244473642110635, 0.0], [0.22015098823319776, 0.0], [0.0, 0.0], [-0.147597822005009, 0.0], [0.3804905744861575, 0.0], [0.5201288170927852, 0.0], [-0.029279949503220683, 0.0], [0.0, 0.0], [2.761506895804096, 0.0], [0.3151675558472919, 0.0], [-1.1617072909466541, 0.0], [0.48824767924644646, 0.0], [0.0, 0.0], [0.4146702417172977, 0.0], [-1.395151913810889, 0.0], [-0.09204149467620938, 0.0], [-0.35848528140389335, 0.0], [0.0, 0.0], [-1.101226329789529, 0.0], [-0.0016385937420996984, 0.0], [-0.07027562725439886, 0.0], [0.17571822479228766, 0.0], [0.0, 0.0], [0.5268904276728426, 0.0], [2.446066822214565, 0.0], [-1.424196179552194, 0.0], [0.6681888368154366, 0.0], [0.0, 0.0], [1.1495442729862826, 0.0], [0.027219543979331857, 0.0], [0.051634937054486484, 0.0], [-0.23249403781741199, 0.0], [0.0, 0.0], [0.43251887072661765, 0.0], [-0.5461017483070855, 0.0], [0.33614852853266075, 0.0], [0.5758194606478534, 0.0], [0.0, 0.0], [0.016644389288703338, 0.0], [-0.2716508009731183, 0.0], [-0.2632364716741015, 0.0], [-1.1956656437457671, 0.0], [0.0, 0.0], [-0.09245465065348703, 0.0], [1.771188725129953, 0.0], [-2.1775638005735787, 0.0], [1.1374694081141075, 0.0], [0.0, 0.0], [-0.4191032380428204, 0.0], [-0.4104702776578724, 0.0], [1.173761921927341, 0.0], [-0.0661198066838109, 0.0], [0.0, 0.0], [0.2761540237861858, 0.0], [-1.1890247057341237, 0.0], [-0.14242432429258262, 0.0], [0.5398177384066877, 0.0], [0.0, 0.0], [-0.3863721649523171, 0.0], [1.122619473985618, 0.0], [-0.43301413811498135, 0.0], [0.517545756788844, 0.0], [0.0, 0.0], [0.517750189103155, 0.0], [0.5294964901466336, 0.0], [0.3021711897899842, 0.0], [-2.615816815267013, 0.0], [0.0, 0.0], [-0.9997629018095266, 0.0], [0.11705415001843612, 0.0], [0.7816727301221374, 0.0], [-0.4843395528377384, 0.0], [0.0, 0.0], [-0.8658652948320545, 0.0], [-1.5266738095645072, 0.0], [-0.29828631553062424, 0.0], [0.012463037867656753, 0.0], [0.0, 0.0], [-0.39408086898243394, 0.0], [-0.4443873010369996, 0.0], [-0.14391833032599702, 0.0], [0.4201037532722652, 0.0], [0.0, 0.0], [0.14202783038206646, 0.0], [-1.4264716159391984, 0.0], [0.8123206563459778, 0.0], [-0.007258433138478112, 0.0], [0.0, 0.0], [-0.333230367717266, 0.0], [0.2915744537399011, 0.0], [0.23530468046231787, 0.0], [0.2807093741030938, 0.0], [0.0, 0.0], [-2.5567239350562265, 0.0], [0.33166054290899644, 0.0], [0.002414424607495501, 0.0], [1.028465880112029, 0.0], [0.0, 0.0], [1.7657254245341854, 0.0], [-0.002722006328481499, 0.0], [0.9578483854718436, 0.0], [-0.1175033049286325, 0.0], [0.0, 0.0], [-0.06259218937764953, 0.0], [0.9000932372406069, 0.0], [0.2669438429608136, 0.0], [0.3379329118101464, 0.0], [0.0, 0.0]], 'angles': [None, -0.30727375118095157, None, -0.4072486810015993, -0.2816713070536092, -0.2082313474060026, -0.44983821607070257, -0.2492594202349653, -0.3371447559861955, -0.05014652637745942, -0.25122534546061037, -0.2245030810305673, -0.34530447442121764, -0.3322128134492723, -0.2274836721309763, -0.3793450091074277, -0.2711084173257835, -0.2041599745430104, -0.06324215721193968, -0.24207772994005583, -0.1629324270463438, -0.21759152332425485, -0.23583676385551233, -0.24853905664116036, -0.10768075331136913, -0.1921286059223225, -0.15887285008456464, -0.3912523847996793, -0.1963742627970867, -0.1286982469569637, -0.16964328343171045, -0.38080191836572597, -0.10678393746692492, -0.24313949923849185, -0.2854712080610361, -0.31834178254670736, -0.18239556897823275, -0.4017882835039258, -0.39232607969719435, -0.22055954324409813, -0.3476312605818307, -0.38476330773974327, -0.0661172191562499, -0.3679688752525021, -0.20425884585153822, -0.2646922692344695, -0.23922554417105465, -0.14867309226905728, -0.26466962139864814, -0.16167890746403576, -0.29378478546272774, -0.16338483536637782, -0.33047002991061486, -0.18928922295868517, 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-0.2762995561127158, -0.23251489022095373, -0.3628252091152947, -0.2290680027593295, -0.19683680243579418, -0.4194053902964519, -0.27807978694993957, -0.30944092575898985, -0.37286901326387595, -0.34280302449203975, -0.19578477941610717, -0.20351984463249542, -0.07687568688046369, -0.28360021465552304, -0.351327435123174, -0.2847332187825298, -0.3882201716022084, -0.28156651336025273, -0.3763855643613757, -0.23123157847450795, -0.07780654814618203, -0.17570368057849867], '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': 144.7922381834865, 'hecke_orbit': 6, 'hecke_orbit_code': 22517998438842418, 'label': '50.18.a.f.1.1', 'level': 50, 'weight': 18}
• mf_newspaces •

  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

  
  {'ALdims': [6, 7, 7, 6], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [3, 3, 3, 3], 'ALdims_old': [23, 24, 24, 24], 'Nk2': 16200, 'analytic_conductor': 91.61104367227983, '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': [50, 1, [27], [1]], 'conrey_index': 1, 'cusp_dim': 121, 'dim': 26, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 301989938, 'hecke_orbit_dims': [1, 1, 2, 2, 2, 2, 2, 3, 3, 4, 4], 'label': '50.18.a', 'level': 50, '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, 5], 'level_radical': 10, 'mf_dim': 133, 'mf_new_dim': 26, 'num_forms': 11, 'plus_dim': 12, 'prim_orbit_index': 1, 'relative_dim': 26, 'sturm_bound': 135, 'trace_bound': 3, 'trace_display': [0, -1120, 0, -27174640], 'traces': 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• 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: 45089701
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998438842418, 'source_is_minimal': False, 'source_label': '50.18.a.f.1.1', 'source_level': 50, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998438842418, 'target_is_minimal': False, 'target_label': '50.18.a.f.1.1', 'target_level': 50, 'twist_class_label': '10.18.a.c.1.2', 'twist_class_level': 10, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 18}
  • id: 45089702
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998438842418, 'source_is_minimal': False, 'source_label': '50.18.a.f.1.1', 'source_level': 50, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 13510867903578162, 'target_is_minimal': False, 'target_label': '50.18.b.d.49.4', 'target_level': 50, 'twist_class_label': '10.18.a.c.1.2', 'twist_class_level': 10, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 18}
  • id: 45089703
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998438842418, 'source_is_minimal': False, 'source_label': '50.18.a.f.1.1', 'source_level': 50, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510867903578162, 'target_is_minimal': False, 'target_label': '50.18.b.d.49.1', 'target_level': 50, 'twist_class_label': '10.18.a.c.1.2', 'twist_class_level': 10, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 18}
  • id: 45089704
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998438842418, 'source_is_minimal': False, 'source_label': '50.18.a.f.1.1', 'source_level': 50, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007199556730890, 'target_is_minimal': True, 'target_label': '10.18.a.c.1.2', 'target_level': 10, 'twist_class_label': '10.18.a.c.1.2', 'twist_class_level': 10, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 18}
  • id: 45089705
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998438842418, 'source_is_minimal': False, 'source_label': '50.18.a.f.1.1', 'source_level': 50, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45035996575694938, 'target_is_minimal': False, 'target_label': '90.18.a.k.1.2', 'target_level': 90, 'twist_class_label': '10.18.a.c.1.2', 'twist_class_level': 10, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 18}
  • id: 45089706
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998438842418, 'source_is_minimal': False, 'source_label': '50.18.a.f.1.1', 'source_level': 50, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510799184101456, 'target_is_minimal': False, 'target_label': '80.18.a.d.1.1', 'target_level': 80, 'twist_class_label': '10.18.a.c.1.2', 'twist_class_level': 10, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 18}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 103300
    {'charpoly_factorization': [[[-256, 1], 2]], 'hecke_orbit_code': 22517998438842418, 'p': 2}
  • id: 103301
    {'charpoly_factorization': [[[-74525184, -1308, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 3}
  • id: 103302
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 22517998438842418, 'p': 5}
  • id: 103303
    {'charpoly_factorization': [[[-633309492538016, 603844, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 7}
  • id: 103304
    {'charpoly_factorization': [[[53517197085392304, 471481296, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 11}
  • id: 103305
    {'charpoly_factorization': [[[24017268757735396, -1541834228, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 13}
  • id: 103306
    {'charpoly_factorization': [[[-1233270187370785850076, 32139900564, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 17}
  • id: 103307
    {'charpoly_factorization': [[[88173891635868840400, -128672529400, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 19}
  • id: 103308
    {'charpoly_factorization': [[[101405069432317304872416, 650359859292, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 23}
  • id: 103309
    {'charpoly_factorization': [[[-13213864086838926903114300, -2543054749980, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 29}
  • id: 103310
    {'charpoly_factorization': [[[-578567186154551883574016, -7839407998744, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 31}
  • id: 103311
    {'charpoly_factorization': [[[143067649941100910835955684, -27805209097556, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 37}
  • id: 103312
    {'charpoly_factorization': [[[-1141950795062536175449112316, 37826364264156, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 41}
  • id: 103313
    {'charpoly_factorization': [[[-3488454469094950384578998624, 29630453926852, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 43}
  • id: 103314
    {'charpoly_factorization': [[[-12283407302608399542261276096, 220791583022004, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 47}
  • id: 103315
    {'charpoly_factorization': [[[263333928785048779933663184196, 1058306017600572, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 53}
  • id: 103316
    {'charpoly_factorization': [[[-544703228417706419367740473200, -1527820717235160, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 59}
  • id: 103317
    {'charpoly_factorization': [[[-1260930178027441797207941562236, 631738213122116, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 61}
  • id: 103318
    {'charpoly_factorization': [[[16636512843028752574161020559904, -8843763493872596, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 67}
  • id: 103319
    {'charpoly_factorization': [[[-2097323967650171341600540256256, 3331901660912376, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 71}
  • id: 103320
    {'charpoly_factorization': [[[20486525550344744105196324278596, -10026350574292028, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 73}
  • id: 103321
    {'charpoly_factorization': [[[15324320881690410480111053824000, -8263606842055120, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 79}
  • id: 103322
    {'charpoly_factorization': [[[25684865867437176724037498425536, -10689526892336988, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 83}
  • id: 103323
    {'charpoly_factorization': [[[37632639889375119398784768560100, -55878412521904980, 1], 1]], 'hecke_orbit_code': 22517998438842418, 'p': 89}
  • id: 103324
    {'charpoly_factorization': [[[-7735901913258636830696393732865116, -56106580363859756, 1], 1]], 'hecke_orbit_code': 22517998438842418, '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': 6, 'label': '50.18.a.f', 'level': 50, 'portrait': 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', 'weight': 18}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 43969111
    {'hecke_orbit_code': 22517998438842418, 'n': 1, 'trace_an': 2}
  • id: 43969112
    {'hecke_orbit_code': 22517998438842418, 'n': 2, 'trace_an': 512}
  • id: 43969113
    {'hecke_orbit_code': 22517998438842418, 'n': 3, 'trace_an': 1308}
  • id: 43969114
    {'hecke_orbit_code': 22517998438842418, 'n': 4, 'trace_an': 131072}
  • id: 43969115
    {'hecke_orbit_code': 22517998438842418, 'n': 5, 'trace_an': 0}
  • id: 43969116
    {'hecke_orbit_code': 22517998438842418, 'n': 6, 'trace_an': 334848}
  • id: 43969117
    {'hecke_orbit_code': 22517998438842418, 'n': 7, 'trace_an': -603844}
  • id: 43969118
    {'hecke_orbit_code': 22517998438842418, 'n': 8, 'trace_an': 33554432}
  • id: 43969119
    {'hecke_orbit_code': 22517998438842418, 'n': 9, 'trace_an': -107519094}
  • id: 43969120
    {'hecke_orbit_code': 22517998438842418, 'n': 10, 'trace_an': 0}
  • id: 43969121
    {'hecke_orbit_code': 22517998438842418, 'n': 11, 'trace_an': -471481296}
  • id: 43969122
    {'hecke_orbit_code': 22517998438842418, 'n': 12, 'trace_an': 85721088}
  • id: 43969123
    {'hecke_orbit_code': 22517998438842418, 'n': 13, 'trace_an': 1541834228}
  • id: 43969124
    {'hecke_orbit_code': 22517998438842418, 'n': 14, 'trace_an': -154584064}
  • id: 43969125
    {'hecke_orbit_code': 22517998438842418, 'n': 15, 'trace_an': 0}
  • id: 43969126
    {'hecke_orbit_code': 22517998438842418, 'n': 16, 'trace_an': 8589934592}
  • id: 43969127
    {'hecke_orbit_code': 22517998438842418, 'n': 17, 'trace_an': -32139900564}
  • id: 43969128
    {'hecke_orbit_code': 22517998438842418, 'n': 18, 'trace_an': -27524888064}
  • id: 43969129
    {'hecke_orbit_code': 22517998438842418, 'n': 19, 'trace_an': 128672529400}
  • id: 43969130
    {'hecke_orbit_code': 22517998438842418, 'n': 20, 'trace_an': 0}
  • id: 43969131
    {'hecke_orbit_code': 22517998438842418, 'n': 21, 'trace_an': 435381246624}
  • id: 43969132
    {'hecke_orbit_code': 22517998438842418, 'n': 22, 'trace_an': -120699211776}
  • id: 43969133
    {'hecke_orbit_code': 22517998438842418, 'n': 23, 'trace_an': -650359859292}
  • id: 43969134
    {'hecke_orbit_code': 22517998438842418, 'n': 24, 'trace_an': 21944598528}
  • id: 43969135
    {'hecke_orbit_code': 22517998438842418, 'n': 25, 'trace_an': 0}
  • id: 43969136
    {'hecke_orbit_code': 22517998438842418, 'n': 26, 'trace_an': 394709562368}
  • id: 43969137
    {'hecke_orbit_code': 22517998438842418, 'n': 27, 'trace_an': -43156034280}
  • id: 43969138
    {'hecke_orbit_code': 22517998438842418, 'n': 28, 'trace_an': -39573520384}
  • id: 43969139
    {'hecke_orbit_code': 22517998438842418, 'n': 29, 'trace_an': 2543054749980}
  • id: 43969140
    {'hecke_orbit_code': 22517998438842418, 'n': 30, 'trace_an': 0}
  • id: 43969141
    {'hecke_orbit_code': 22517998438842418, 'n': 31, 'trace_an': 7839407998744}
  • id: 43969142
    {'hecke_orbit_code': 22517998438842418, 'n': 32, 'trace_an': 2199023255552}
  • id: 43969143
    {'hecke_orbit_code': 22517998438842418, 'n': 33, 'trace_an': 476857812816}
  • id: 43969144
    {'hecke_orbit_code': 22517998438842418, 'n': 34, 'trace_an': -8227814544384}
  • id: 43969145
    {'hecke_orbit_code': 22517998438842418, 'n': 35, 'trace_an': 0}
  • id: 43969146
    {'hecke_orbit_code': 22517998438842418, 'n': 36, 'trace_an': -7046371344384}
  • id: 43969147
    {'hecke_orbit_code': 22517998438842418, 'n': 37, 'trace_an': 27805209097556}
  • id: 43969148
    {'hecke_orbit_code': 22517998438842418, 'n': 38, 'trace_an': 32940167526400}
  • id: 43969149
    {'hecke_orbit_code': 22517998438842418, 'n': 39, 'trace_an': -12067623537288}
  • id: 43969150
    {'hecke_orbit_code': 22517998438842418, 'n': 40, 'trace_an': 0}
  • id: 43969151
    {'hecke_orbit_code': 22517998438842418, 'n': 41, 'trace_an': -37826364264156}
  • id: 43969152
    {'hecke_orbit_code': 22517998438842418, 'n': 42, 'trace_an': 111457599135744}
  • id: 43969153
    {'hecke_orbit_code': 22517998438842418, 'n': 43, 'trace_an': -29630453926852}
  • id: 43969154
    {'hecke_orbit_code': 22517998438842418, 'n': 44, 'trace_an': -30898998214656}
  • id: 43969155
    {'hecke_orbit_code': 22517998438842418, 'n': 45, 'trace_an': 0}
  • id: 43969156
    {'hecke_orbit_code': 22517998438842418, 'n': 46, 'trace_an': -166492123978752}
  • id: 43969157
    {'hecke_orbit_code': 22517998438842418, 'n': 47, 'trace_an': -220791583022004}
  • id: 43969158
    {'hecke_orbit_code': 22517998438842418, 'n': 48, 'trace_an': 5617817223168}
  • id: 43969159
    {'hecke_orbit_code': 22517998438842418, 'n': 49, 'trace_an': 801722584677954}
  • id: 43969160
    {'hecke_orbit_code': 22517998438842418, 'n': 50, 'trace_an': 0}
  • id: 43969161
    {'hecke_orbit_code': 22517998438842418, 'n': 51, 'trace_an': 647690491265544}
  • id: 43969162
    {'hecke_orbit_code': 22517998438842418, 'n': 52, 'trace_an': 101045647966208}
  • id: 43969163
    {'hecke_orbit_code': 22517998438842418, 'n': 53, 'trace_an': -1058306017600572}
  • id: 43969164
    {'hecke_orbit_code': 22517998438842418, 'n': 54, 'trace_an': -11047944775680}
  • id: 43969165
    {'hecke_orbit_code': 22517998438842418, 'n': 55, 'trace_an': 0}
  • id: 43969166
    {'hecke_orbit_code': 22517998438842418, 'n': 56, 'trace_an': -10130821218304}
  • id: 43969167
    {'hecke_orbit_code': 22517998438842418, 'n': 57, 'trace_an': 1186209507102000}
  • id: 43969168
    {'hecke_orbit_code': 22517998438842418, 'n': 58, 'trace_an': 651022015994880}
  • id: 43969169
    {'hecke_orbit_code': 22517998438842418, 'n': 59, 'trace_an': 1527820717235160}
  • id: 43969170
    {'hecke_orbit_code': 22517998438842418, 'n': 60, 'trace_an': 0}
  • id: 43969171
    {'hecke_orbit_code': 22517998438842418, 'n': 61, 'trace_an': -631738213122116}
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  • id: 43969368
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