Embedded newform data - 162.10.c.o.109.2

Formats: - HTML - YAML - JSON - 2025-09-21T21:07:53.283681

• 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': 83.43580545854745, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 9, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 3, 'char_parity': 1, 'char_values': [162, 3, [83], [2]], 'cm_discs': [], 'conrey_index': 55, 'dim': 4, 'field_disc': 99740169, 'field_disc_factorization': [[3, 2], [3329, 2]], 'field_poly': [692224, 832, 833, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [4923539399025, 2023641360, 3050649, -912, 1]]], 'hecke_orbit': 15, 'hecke_orbit_code': 63050532389912738, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 2916, 'hecke_ring_index_factorization': [[2, 2], [3, 6]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 9, 3, 1, 3, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '162.10.c.o', 'level': 162, '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], 'level_radical': 6, 'minimal_twist': '54.10.a.f', 'nf_label': '4.0.99740169.1', 'prim_orbit_index': 3, 'qexp_display': 'q+(2^{4}-2^{4}\\beta _{1})q^{2}-2^{8}\\beta _{1}q^{4}+(456\\beta _{1}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '9.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '162.10.c', 'trace_display': [32, 0, 912, -6448], 'trace_hash': 857411149464618455, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.915', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.018', 'prec': 17}, {'__RealLiteral__': 0, 'data': '57.799', 'prec': 20}, {'__RealLiteral__': 0, 'data': '47.124', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1447.268', 'prec': 27}], 'trace_zratio': 0, 'traces': [4, 32, 0, -512, 912, 0, -6448, -16384, 0, 29184, 15126, 0, -28912, 103168, 0, -131072, -799920, 0, 16208, 233472, 0, -242016, 2563572, 0, -1363304, -925184, 0, 3301376, 3059088, 0, -16787920, 2097152, 0, -6399360, 42656244, 0, 69597368, 129664, 0, -3735552, -24238968, 0, -12599680, -7744512, 0, 82034304, -19535772, 0, -61423188, 21812864, 0, -7401472, -25069824, 0, 402089472, 26411008, 0, -48945408, -140256744, 0, 169724624, -537213440, 0, 67108864, 110257512, 0, 72241232, 102389760, 0, 341249952, 107692560, 0, -407115388, 556778944, 0, -2074624, -921970176, 0, 877964864, -119537664, 0, -775646976, -111456714, 0, 885428280, 201594880, 0, -61956096, 2468521728, 0, -784311824, 656274432, 0, 312572352, -2374608756, 0, 165265682, -1965542016, 0, 698011648, 549632976, 0, 152991968, 118423552, 0, 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1040568584, 3208937472, 0, -14290363872, -58377476280, 0, 91503305260, 473696704, 0, -51467452416, -15574379040, 0, -47235514576, -13522436096, 0, -118466086656, -86133327096, 0, -42719476108, 48214207872, 0, -12530024448, 126530885952, 0, 218654762976, -35905726464, 0, -106056339840, 103657220940, 0, -93240446620, -101260600192, 0, -86899007488, -128473733952, 0, 47448932176, 68763320320, 0, -52271593728, 30732733440, 0, 186328522872, 58192316416, 0, -8589934592, 55875650376, 0, -74817605816, -56451846144, 0, -306017670720, -14432722860, 0, 203987410938, 190682371136, 0, 18493755392, 376372657728, 0, -169301781280, 26211778560, 0, -143153196288, 187372987512, 0, 36393933344, 9017990656, 0, -174719975424, -167082280248, 0, 227039374472, -13784647680, 0, -65625712896, -64549665336, 0, 155452913212, -14180582592, 0, 52110769664, 29156803392, 0, 100262616624, -285070819328, 0, -399178371072, 73946980032, 0, 76595051980, -100523165696, 0, -531103744, 515902797888, 0, -325869958864, 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1518365829632, 0, 2200426250240, -2340769419720, 0, -633677940688, 836345499648, 0, 245861867520, -849675387672, 0, 7391309557212, 1490628182976, 0, -931077062656, -720456621360, 0, -2567545578944, -274877906944, 0, 1788020812032, -5013239454408, 0, -4581678697164, 1197081693056, 0, -451614769152, -252212847696, 0, -879057994384, -2448141365760, 0, 230923565760, 2988853777800, 0, -384517057466, 6527597150016, 0, 6101835876352, -792083583408, 0, -3868338930912, -295900086272, 0, 3010981261824, 11589529472712, 0, -59442645520, -1354414250240, 0, -419388456960, 5457875455464, 0, -1447001719096, -4580902281216, 0, 5995935600384, 1130198389176, 0, 4629333270736, -582302933504, 0, 72143925248, -2965111169472, 0, 1302013310560, -1397759803392, 0, 2673316483968, 3553655223594, 0, 1622471417388, 7265259983104, 0, -441108725760, 590702526384, 0, -6469113269272, 1050011406336, 0, -516397322688, -6859112029728, 0, 1742916008312, 1243623305696, 0, 226889321472, 7093006896864, 0, 8293331692944, 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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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[-0.14731479983812565, 0.25515671802647305], [0.0, 0.0], [0.7410635039283876, 1.2835596404389855], [0.2196636227350692, 0.0], [0.0, 0.0], [0.6274494239507555, 0.0], [-0.866563916964486, -1.5009327321883874], [0.0, 0.0], [0.2817888711665359, -0.48807264186792076], [-0.5086901309329195, 0.8810771520846811], [0.0, 0.0], [-0.05265926566357457, -0.09120852361857838], [-0.6183503038245034, 0.0], [0.0, 0.0], [-0.1930016224029424, 0.0], [0.20764447155812654, 0.3596507746494659], [0.0, 0.0], [0.37977423800118437, -0.6577882756238065], [-0.3489901577712162, 0.6044686846012249], [0.0, 0.0], [-1.0085336971330852, -1.7468316045797858], [-0.5439357044235148, 0.0], [0.0, 0.0], [0.46098156202943175, 0.0], [-1.2678055986093066, -2.1959037109115935], [0.0, 0.0], [-0.16579627870484864, 0.28716757842264773], [0.18928178350208666, -0.32784566597286663], [0.0, 0.0], [0.37622806852129953, 0.6516461299123957], [0.5337295810178357, 0.0], [0.0, 0.0], [-0.3032645668862894, 0.0], [0.1231320255924638, 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-0.08259191952854339, 0.17238419062104224, -0.13321662524067068, -0.014138499883170418, -0.16085325033721812, -0.48905823508735846, 0.03145668425230397, 0.16883012871646444, -0.29218756184052797, -0.35974432642326315, -0.005956812835095001, -0.4773743812606828, -0.1323001403777851, -0.023142467359575047, 0.031396497365490335, -0.2868909144766479, -0.3473663220515948, -0.14800559260853585, 0.17184486250242564, -0.28867436535330476, -0.48686734135394666, -0.0026299243187942528, -0.45050222126449907, 0.18123677884893552, -0.01881633397812945, -0.36493273628736617, -0.2966317632591491, 0.17056932446101475, -0.04432496837824794, -0.3612070283639547, -0.08784924423287681, -0.09399973670605845, -0.24549777586554966, -0.23161072564933188, -0.10257630358091423, -0.42230417125879577, -0.4189162151201692, -0.14702389415471204, 0.21854345024837096, -0.11824247318780996, -0.34850690576811827, -0.1595846223915552, -0.2973849574826535, -0.3929039610978015, -0.1640084525655658, -0.08087321616529056, 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-0.10714619855972055, 0.20391393820126022, -0.3899340588190843, -0.09575686932501352, -0.22850607328285094, 0.22247848574132167, -0.48003959839114446, -0.41735848525126545, -0.2317173071857571, -0.37279070065598297, -0.12573313400707936, -0.20859638883108797, -0.02012421647375316, -0.34423079488438124, -0.15205043004888827, -0.35986661453273894, -0.13844540546157583, -0.40657986822675296, -0.40896442313398995, -0.13886584051683407, -0.23251007120015899, -0.0477445631848776, -0.21066253406788701, -0.4347474214978273, -0.24943794277738876, -0.11895402977978, -0.37377696806182437, -0.15248109399497023, 0.17374027098464334, -0.44986406464603534, -0.09709821026675994, 0.2691573373922926, -0.31071342221505627, -0.19257146629297903, -0.3567723528198273, -0.3657136791684793, -0.3625250101291969, -0.25609322259216166, 0.04839589584978169, -0.3589473947862222, -0.18382250475072118, -0.2734150054193349, 0.03009075411277375, -0.07639282863652028, -0.08077659815653478, 0.2618036596433157, -0.24853166986829586, -0.4584295332016805, -0.2425467060111846, -0.38411289542960003, -0.2388892906048824, -0.46271241024499943, 0.01705500685069909, -0.13819358394580314, -0.08745349195649017, -0.26349388046679656, -0.4401981866442465, -0.4164950923819642, -0.30002646765320334, -0.44317637508701635, -0.20700614319561877, -0.47977592983978584, 0.0042964411339699105, -0.28677099674123546, -0.1148100946290977], 'char_orbit_index': 3, 'conrey_index': 109, 'dual_conrey_index': 55, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 4, 'embedding_root_imag': -25.416757417206615, 'embedding_root_real': 14.674371736751656, 'hecke_orbit': 15, 'hecke_orbit_code': 63050532389912738, 'label': '162.10.c.o.109.2', 'level': 162, 'weight': 10}
• 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

  
  {'Nk2': 16200, 'analytic_conductor': 83.43580545854745, 'char_conductor': 9, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 3, 'char_parity': 1, 'char_values': [162, 3, [83], [2]], 'conrey_index': 55, 'cusp_dim': 462, 'dim': 72, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 137606725794, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 6, 6, 8, 8], 'label': '162.10.c', 'level': 162, '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], 'level_radical': 6, 'mf_dim': 510, 'mf_new_dim': 72, 'num_forms': 20, 'prim_orbit_index': 3, 'relative_dim': 36, 'sturm_bound': 270, 'trace_bound': 5, 'trace_display': [0, 0, 0, -3420], 'traces': [72, 0, 0, -9216, 0, 0, -3420, 0, 0, 0, 0, 0, 324360, 0, 0, -2359296, 0, 0, 1445940, 0, 0, 1056672, 0, 0, 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0, 0, -88306338721122, 0, 0, 181455404396544, 0, 0, -119803093746318, 0, 0, -12767521242240, 0, 0, -111887211718584, 0, 0, -25414632382464, 0, 0, -72146722285170, 0, 0, -102096100795392, 0, 0, 121080563672778, 0, 0, 25208465665536, 0, 0, 248446877605884, 0, 0, 25257542922144, 0, 0, 79665692938902, 0, 0, 33742273904640, 0, 0, 1478962063116, 0, 0, -22962095731296, 0, 0, -355569392870964, 0, 0, 7170082384896, 0, 0, 160450449405912, 0, 0, -30986148122496, 0, 0, -114895734371568, 0, 0, -36864092307456, 0, 0, -204449664547728, 0, 0, -62462086794432, 0, 0, 52302898482534, 0, 0, -9882015750144, 0, 0, -19403895740472, 0, 0, 88949536864992, 0, 0, 775997669887740, 0, 0, -3127277518848, 0, 0, 8997582057732, 0, 0, -234726760073664, 0, 0, -69889481204004, 0, 0, 65180836329984, 0, 0, -488847811626648, 0, 0, 96875245223424, 0, 0, 193638198541410, 0, 0, 86642267258880], 'weight': 10, '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: 47852233
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 109, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 63050532389912738, 'source_is_minimal': False, 'source_label': '162.10.c.o.109.2', 'source_level': 162, 'target_conrey_index': 109, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 63050532389912738, 'target_is_minimal': False, 'target_label': '162.10.c.o.109.2', 'target_level': 162, 'twist_class_label': '54.10.a.f.1.1', 'twist_class_level': 54, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 47852234
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 109, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 63050532389912738, 'source_is_minimal': False, 'source_label': '162.10.c.o.109.2', 'source_level': 162, 'target_conrey_index': 109, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539733507801250, 'target_is_minimal': False, 'target_label': '162.10.c.l.109.1', 'target_level': 162, 'twist_class_label': '54.10.a.f.1.1', 'twist_class_level': 54, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 47852235
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 109, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 63050532389912738, 'source_is_minimal': False, 'source_label': '162.10.c.o.109.2', 'source_level': 162, 'target_conrey_index': 55, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539733507801250, 'target_is_minimal': False, 'target_label': '162.10.c.l.55.1', 'target_level': 162, 'twist_class_label': '54.10.a.f.1.1', 'twist_class_level': 54, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 47852236
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 109, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 63050532389912738, 'source_is_minimal': False, 'source_label': '162.10.c.o.109.2', 'source_level': 162, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998304624694, 'target_is_minimal': True, 'target_label': '54.10.a.f.1.1', 'target_level': 54, 'twist_class_label': '54.10.a.f.1.1', 'twist_class_level': 54, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 10}
  • id: 47852237
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 109, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 63050532389912738, 'source_is_minimal': False, 'source_label': '162.10.c.o.109.2', 'source_level': 162, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021597931995190, 'target_is_minimal': True, 'target_label': '54.10.a.g.1.2', 'target_level': 54, 'twist_class_label': '54.10.a.f.1.1', 'twist_class_level': 54, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 10}
  • id: 47852238
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 109, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 63050532389912738, 'source_is_minimal': False, 'source_label': '162.10.c.o.109.2', 'source_level': 162, 'target_conrey_index': 55, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 63050532389912738, 'target_is_minimal': False, 'target_label': '162.10.c.o.55.2', 'target_level': 162, 'twist_class_label': '54.10.a.f.1.1', 'twist_class_level': 54, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 426775
    {'charpoly_factorization': [[[256, -16, 1], 2]], 'hecke_orbit_code': 63050532389912738, 'p': 2}
  • id: 426776
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 63050532389912738, 'p': 3}
  • id: 426777
    {'charpoly_factorization': [[[4923539399025, 2023641360, 3050649, -912, 1], 1]], 'hecke_orbit_code': 63050532389912738, 'p': 5}
  • id: 426778
    {'charpoly_factorization': [[[2527761545368801, -324185122352, 91853553, 6448, 1], 1]], 'hecke_orbit_code': 63050532389912738, 'p': 7}
  • id: 426779
    {'charpoly_factorization': [[[14636337284607850161, 57868243540506, 4054542507, -15126, 1], 1]], 'hecke_orbit_code': 63050532389912738, 'p': 11}
  • id: 426780
    {'charpoly_factorization': [[[580279004513495296, -22024018535168, 1597664208, 28912, 1], 1]], 'hecke_orbit_code': 63050532389912738, 'p': 13}
  • id: 426781
    {'charpoly_factorization': [[[-77467104000, 399960, 1], 2]], 'hecke_orbit_code': 63050532389912738, 'p': 17}
  • id: 426782
    {'charpoly_factorization': [[[-582668105396, -8104, 1], 2]], 'hecke_orbit_code': 63050532389912738, 'p': 19}
  • id: 426783
    {'charpoly_factorization': [[[1670658383349652372284816, -3313518095181322512, 5279361889788, -2563572, 1], 1]], 'hecke_orbit_code': 63050532389912738, 'p': 23}
  • id: 426784
    {'charpoly_factorization': [[[3252308082538226169313296, -5516807238278175168, 7554603720708, -3059088, 1], 1]], 'hecke_orbit_code': 63050532389912738, 'p': 29}
  • id: 426785
    {'charpoly_factorization': [[[4923788163813491258551980625, 1178003473396902574000, 211664548194825, 16787920, 1], 1]], 'hecke_orbit_code': 63050532389912738, 'p': 31}
  • id: 426786
    {'charpoly_factorization': [[[296981605917364, -34798684, 1], 2]], 'hecke_orbit_code': 63050532389912738, 'p': 37}
  • id: 426787
    {'charpoly_factorization': [[[9339331469086485531663547536, 2342459118256289723808, 490887353081268, 24238968, 1], 1]], 'hecke_orbit_code': 63050532389912738, 'p': 41}
  • id: 426788
    {'charpoly_factorization': [[[286541846736408554628490000, -213281675124146624000, 175679483081700, 12599680, 1], 1]], 'hecke_orbit_code': 63050532389912738, 'p': 43}
  • id: 426789
    {'charpoly_factorization': [[[1808215804453408217800294476816, -26269736006209466214288, 1726345537800588, 19535772, 1], 1]], 'hecke_orbit_code': 63050532389912738, 'p': 47}
  • id: 426790
    {'charpoly_factorization': [[[-4490835199111089, 12534912, 1], 2]], 'hecke_orbit_code': 63050532389912738, 'p': 53}
  • id: 426791
    {'charpoly_factorization': [[[22869492645285540106793146112256, 670736619510577864788096, 14889748402797552, 140256744, 1], 1]], 'hecke_orbit_code': 63050532389912738, 'p': 59}
  • id: 426792
    {'charpoly_factorization': [[[14770588614599302321232824078336, -652294559793975457350656, 24963195643396032, -169724624, 1], 1]], 'hecke_orbit_code': 63050532389912738, 'p': 61}
  • id: 426793
    {'charpoly_factorization': [[[1655900831031449826384012017905936, 2939695217616422103270208, 45911557009160868, -72241232, 1], 1]], 'hecke_orbit_code': 63050532389912738, 'p': 67}
  • id: 426794
    {'charpoly_factorization': [[[-18627963818630400, -53846280, 1], 2]], 'hecke_orbit_code': 63050532389912738, 'p': 71}
  • id: 426795
    {'charpoly_factorization': [[[-32466232526520191, 203557694, 1], 2]], 'hecke_orbit_code': 63050532389912738, 'p': 73}
  • id: 426796
    {'charpoly_factorization': [[[32174694168008520852223762687922176, -157483243039368004073025536, 591449243772574272, -877964864, 1], 1]], 'hecke_orbit_code': 63050532389912738, 'p': 79}
  • id: 426797
    {'charpoly_factorization': [[[50958958265582933025034808604268401, -25160339999028492689683014, 238163508692460747, 111456714, 1], 1]], 'hecke_orbit_code': 63050532389912738, 'p': 83}
  • id: 426798
    {'charpoly_factorization': [[[348200027632942524, -1234260864, 1], 2]], 'hecke_orbit_code': 63050532389912738, 'p': 89}
  • id: 426799
    {'charpoly_factorization': [[[94974819082011396930938795581328161, 50931552857238782436062158, 335492594245128243, -165265682, 1], 1]], 'hecke_orbit_code': 63050532389912738, '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': 3, 'hecke_orbit': 15, 'label': '162.10.c.o', 'level': 162, 'portrait': 'data:image/png;base64,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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 60265423
    {'hecke_orbit_code': 63050532389912738, 'n': 1, 'trace_an': 4}
  • id: 60265424
    {'hecke_orbit_code': 63050532389912738, 'n': 2, 'trace_an': 32}
  • id: 60265425
    {'hecke_orbit_code': 63050532389912738, 'n': 3, 'trace_an': 0}
  • id: 60265426
    {'hecke_orbit_code': 63050532389912738, 'n': 4, 'trace_an': -512}
  • id: 60265427
    {'hecke_orbit_code': 63050532389912738, 'n': 5, 'trace_an': 912}
  • id: 60265428
    {'hecke_orbit_code': 63050532389912738, 'n': 6, 'trace_an': 0}
  • id: 60265429
    {'hecke_orbit_code': 63050532389912738, 'n': 7, 'trace_an': -6448}
  • id: 60265430
    {'hecke_orbit_code': 63050532389912738, 'n': 8, 'trace_an': -16384}
  • id: 60265431
    {'hecke_orbit_code': 63050532389912738, 'n': 9, 'trace_an': 0}
  • id: 60265432
    {'hecke_orbit_code': 63050532389912738, 'n': 10, 'trace_an': 29184}
  • id: 60265433
    {'hecke_orbit_code': 63050532389912738, 'n': 11, 'trace_an': 15126}
  • id: 60265434
    {'hecke_orbit_code': 63050532389912738, 'n': 12, 'trace_an': 0}
  • id: 60265435
    {'hecke_orbit_code': 63050532389912738, 'n': 13, 'trace_an': -28912}
  • id: 60265436
    {'hecke_orbit_code': 63050532389912738, 'n': 14, 'trace_an': 103168}
  • id: 60265437
    {'hecke_orbit_code': 63050532389912738, 'n': 15, 'trace_an': 0}
  • id: 60265438
    {'hecke_orbit_code': 63050532389912738, 'n': 16, 'trace_an': -131072}
  • id: 60265439
    {'hecke_orbit_code': 63050532389912738, 'n': 17, 'trace_an': -799920}
  • id: 60265440
    {'hecke_orbit_code': 63050532389912738, 'n': 18, 'trace_an': 0}
  • id: 60265441
    {'hecke_orbit_code': 63050532389912738, 'n': 19, 'trace_an': 16208}
  • id: 60265442
    {'hecke_orbit_code': 63050532389912738, 'n': 20, 'trace_an': 233472}
  • id: 60265443
    {'hecke_orbit_code': 63050532389912738, 'n': 21, 'trace_an': 0}
  • id: 60265444
    {'hecke_orbit_code': 63050532389912738, 'n': 22, 'trace_an': -242016}
  • id: 60265445
    {'hecke_orbit_code': 63050532389912738, 'n': 23, 'trace_an': 2563572}
  • id: 60265446
    {'hecke_orbit_code': 63050532389912738, 'n': 24, 'trace_an': 0}
  • id: 60265447
    {'hecke_orbit_code': 63050532389912738, 'n': 25, 'trace_an': -1363304}
  • id: 60265448
    {'hecke_orbit_code': 63050532389912738, 'n': 26, 'trace_an': -925184}
  • id: 60265449
    {'hecke_orbit_code': 63050532389912738, 'n': 27, 'trace_an': 0}
  • id: 60265450
    {'hecke_orbit_code': 63050532389912738, 'n': 28, 'trace_an': 3301376}
  • id: 60265451
    {'hecke_orbit_code': 63050532389912738, 'n': 29, 'trace_an': 3059088}
  • id: 60265452
    {'hecke_orbit_code': 63050532389912738, 'n': 30, 'trace_an': 0}
  • id: 60265453
    {'hecke_orbit_code': 63050532389912738, 'n': 31, 'trace_an': -16787920}
  • id: 60265454
    {'hecke_orbit_code': 63050532389912738, 'n': 32, 'trace_an': 2097152}
  • id: 60265455
    {'hecke_orbit_code': 63050532389912738, 'n': 33, 'trace_an': 0}
  • id: 60265456
    {'hecke_orbit_code': 63050532389912738, 'n': 34, 'trace_an': -6399360}
  • id: 60265457
    {'hecke_orbit_code': 63050532389912738, 'n': 35, 'trace_an': 42656244}
  • id: 60265458
    {'hecke_orbit_code': 63050532389912738, 'n': 36, 'trace_an': 0}
  • id: 60265459
    {'hecke_orbit_code': 63050532389912738, 'n': 37, 'trace_an': 69597368}
  • id: 60265460
    {'hecke_orbit_code': 63050532389912738, 'n': 38, 'trace_an': 129664}
  • id: 60265461
    {'hecke_orbit_code': 63050532389912738, 'n': 39, 'trace_an': 0}
  • id: 60265462
    {'hecke_orbit_code': 63050532389912738, 'n': 40, 'trace_an': -3735552}
  • id: 60265463
    {'hecke_orbit_code': 63050532389912738, 'n': 41, 'trace_an': -24238968}
  • id: 60265464
    {'hecke_orbit_code': 63050532389912738, 'n': 42, 'trace_an': 0}
  • id: 60265465
    {'hecke_orbit_code': 63050532389912738, 'n': 43, 'trace_an': -12599680}
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