Embedded newform data - 275.2.z.c.224.1

Formats: - HTML - YAML - JSON - 2025-09-14T13:23:42.481053

• 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': 1100, 'analytic_conductor': 2.1958860555852104, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 55, 'char_degree': 4, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 26, 'char_orbit_label': 'z', 'char_order': 10, 'char_parity': 1, 'char_values': [275, 10, [177, 101], [5, 4]], 'cm_discs': [], 'conrey_index': 49, 'dim': 32, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [1, 0, -71, 0, 2132, 0, -10603, 0, 1423681, 0, -2806839, 0, 2642317, 0, -1330529, 0, 961802, 0, -411465, 0, 113853, 0, -20142, 0, 5502, 0, -694, 0, 89, 0, -10, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9008917275214099, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0], [1, 1, 11, 3, 1, 5, 0], [1, 1, 55, 10, 1, 10, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '275.2.z.c', 'level': 275, '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': [5, 11], 'level_radical': 55, 'minimal_twist': '275.2.h.c', 'prim_orbit_index': 10, 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '1.2.3.c10', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '275.2.z', 'trace_display': [0, 0, 0, 0], 'traces': [32, 0, 0, 4, 0, -6, 0, 0, -16, 0, -10, 0, 0, -6, 0, -8, 0, 0, 26, 0, 20, 0, 0, 86, 0, -68, 0, 0, 22, 0, -20, 0, 0, -40, 0, 6, 0, 0, -6, 0, 50, 0, 0, 2, 0, 80, 0, 0, -32, 0, 70, 0, 0, -120, 0, -40, 0, 0, -28, 0, 32, 0, 0, -80, 0, -110, 0, 0, -70, 0, -92, 0, 0, 14, 0, -124, 0, 0, 78, 0, -86, 0, 0, 108, 0, 4, 0, 0, 44, 0, -68, 0, 0, 80, 0, 216, 0, 0, 20, 0, 18, 0, 0, -130, 0, 58, 0, 0, -100, 0, -4, 0, 0, -38, 0, 156, 0, 0, 92, 0, -18, 0, 0, 32, 0, 12, 0, 0, 176, 0, 0, 0, 0, 188, 0, -98, 0, 0, -66, 0, -62, 0, 0, 56, 0, 128, 0, 0, 110, 0, 22, 0, 0, -132, 0, 182, 0, 0, -78, 0, 34, 0, 0, -180, 0, 116, 0, 0, -90, 0, 62, 0, 0, -126, 0, -50, 0, 0, 34, 0, -100, 0, 0, 134, 0, -220, 0, 0, -34, 0, -172, 0, 0, 140, 0, -116, 0, 0, -32, 0, 30, 0, 0, 180, 0, -54, 0, 0, 34, 0, 22, 0, 0, 150, 0, -134, 0, 0, -40, 0, -8, 0, 0, -212, 0, 94, 0, 0, -10, 0, 104, 0, 0, 74, 0, 40, 0, 0, 14, 0, 108, 0, 0, -70, 0, 140, 0, 0, -80, 0, 186, 0, 0, -284, 0, -324, 0, 0, -148, 0, 0, 0, 0, -246, 0, 148, 0, 0, -120, 0, 64, 0, 0, 320, 0, -120, 0, 0, -148, 0, -30, 0, 0, 78, 0, -138, 0, 0, -124, 0, -108, 0, 0, 36, 0, -192, 0, 0, -6, 0, -16, 0, 0, 6, 0, -190, 0, 0, 268, 0, 156, 0, 0, -32, 0, 154, 0, 0, 218, 0, -192, 0, 0, 92, 0, 230, 0, 0, 76, 0, 64, 0, 0, 70, 0, -194, 0, 0, 46, 0, 64, 0, 0, 120, 0, 172, 0, 0, 16, 0, 240, 0, 0, -86, 0, 156, 0, 0, 162, 0, -42, 0, 0, 316, 0, 44, 0, 0, -6, 0, -126, 0, 0, -248, 0, 66, 0, 0, -104, 0, -170, 0, 0, 212, 0, -508, 0, 0, -82, 0, -76, 0, 0, -104, 0, 136, 0, 0, -222, 0, -128, 0, 0, -338, 0, 108, 0, 0, -146, 0, 156, 0, 0, -100, 0, 152, 0, 0, 0, 0, -148, 0, 0, -184, 0, -174, 0, 0, 14, 0, -90, 0, 0, 250, 0, 70, 0, 0, 180, 0, 296, 0, 0, 230, 0, 28, 0, 0, 60, 0, 134, 0, 0, 276, 0, 326, 0, 0, -76, 0, 272, 0, 0, -42, 0, 140, 0, 0, -334, 0, 176, 0, 0, -204, 0, 382, 0, 0, 144, 0, 2, 0, 0, -196, 0, -42, 0, 0, 92, 0, -130, 0, 0, 20, 0, 492, 0, 0, 160, 0, -210, 0, 0, 96, 0, -136, 0, 0, 102, 0, -62, 0, 0, -80, 0, -180, 0, 0, -192, 0, -12, 0, 0, 158, 0, -122, 0, 0, 224, 0, -294, 0, 0, -242, 0, -402, 0, 0, 348, 0, -216, 0, 0, 154, 0, -316, 0, 0, 500, 0, -268, 0, 0, -22, 0, -368, 0, 0, 94, 0, -66, 0, 0, -184, 0, 66, 0, 0, 48, 0, -208, 0, 0, 34, 0, 222, 0, 0, -142, 0, 52, 0, 0, -360, 0, -6, 0, 0, -232, 0, -124, 0, 0, 320, 0, -358, 0, 0, -228, 0, -122, 0, 0, -712, 0, 316, 0, 0, 384, 0, -8, 0, 0, -148, 0, 390, 0, 0, -188, 0, 48, 0, 0, -376, 0, 92, 0, 0, -346, 0, -12, 0, 0, -146, 0, 170, 0, 0, -140, 0, 162, 0, 0, 134, 0, -126, 0, 0, -102, 0, -246, 0, 0, 280, 0, -136, 0, 0, 108, 0, 144, 0, 0, 566, 0, 124, 0, 0, 26, 0, 512, 0, 0, 310, 0, 14, 0, 0, -22, 0, 568, 0, 0, -50, 0, -34, 0, 0, -146, 0, 110, 0, 0, -196, 0, 200, 0, 0, -266, 0, 28, 0, 0, 516, 0, -186, 0, 0, 220, 0, 150, 0, 0, -436, 0, -916, 0, 0, -128, 0, 136, 0, 0, 198, 0, -326, 0, 0, -22, 0, -4, 0, 0, -352, 0, 428, 0, 0, -90, 0, 250, 0, 0, -196, 0, 350, 0, 0, -424, 0, -136, 0, 0, 200, 0, -210, 0, 0, 278, 0, -46, 0, 0, -126, 0, 208, 0, 0, 36, 0, 128, 0, 0, 324, 0, 198, 0, 0, 428, 0, -164, 0, 0, -212, 0, 300, 0, 0, -38, 0, -416, 0, 0, 136, 0, 58, 0, 0, 318, 0, -44, 0, 0, 276, 0, 94, 0, 0, -88, 0, 114, 0, 0, 308, 0, -376, 0, 0, -166, 0, -196, 0, 0, 880, 0, -80, 0, 0, 112, 0, -288, 0, 0, -232, 0, -256, 0, 0, 104, 0, -6, 0, 0, -32, 0, -524, 0, 0, 156, 0, 28, 0, 0, 54, 0, -414, 0, 0, 500, 0, -180, 0, 0, -174, 0, -48, 0, 0, -98, 0, 82, 0, 0, 138, 0, -114, 0, 0, -472, 0, 252, 0, 0, 76, 0, -104, 0, 0, -180, 0, 368, 0, 0, 140, 0, -36, 0, 0, -248, 0, 408, 0, 0, -390, 0, 434, 0, 0, -274, 0, 180, 0, 0, -112, 0, -22, 0, 0, 56, 0, 334, 0, 0, -96, 0, 252, 0, 0, -140, 0, 0, 0, 0, -292, 0, -80, 0, 0, 248, 0, 288, 0, 0, 44, 0, 60, 0, 0, -256, 0, -78, 0, 0, 58, 0, 960, 0, 0, -70, 0, -52, 0, 0, -12, 0, -42, 0, 0, 388, 0, 22, 0, 0, -312, 0, -182, 0, 0, 116, 0, 190, 0, 0, 20, 0, 98, 0, 0, 232, 0, 28, 0, 0, 208, 0, 102, 0, 0, -50, 0], 'weight': 2, 'weight_parity': 1}
• 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

  
  {'an_normalized': [[1.0, 0.0], [-1.0650318219125199, 1.465890544406867], [0.9843012060887056, 0.31981884888402556], [-0.7055253121202121, -2.1713836381728093], [0.0, 0.0], [-1.5171315333335267, 1.10226057954479], [1.3662847722468874, -0.44393283316610427], [2.2111599650954092, 0.7184494241811642], [0.057547773831229956, 0.04181090508042257], [0.0, 0.0], [0.9632946528299796, 0.2684462922619144], [0.0, -2.362935827115607], [-0.7332051157632392, 1.0091702653334964], [-0.8043798177474913, 2.475626522717485], [0.0, 0.0], [-1.5610346966532214, 1.134158094810513], [0.7145146427775886, 0.9834450362309919], [-0.12258042082096897, 0.03982879309725106], [0.24532850734259046, -0.7550435082480689], [0.0, 0.0], [1.4868138368682513, 0.0], [-1.4194523406499242, 1.1261806793277953], [0.0, 0.022045616022658258], [1.9466737526754607, 1.414341269470512], [0.0, 0.0], [-0.6984463693720386, -2.1495968926161497], [-0.5650591728741553, -0.7777372295403827], [-1.9278969807691564, -2.6535225488616283], [0.13485452742151915, 0.4150395589587583], [0.0, 0.0], [-0.6895044927219547, -0.500954337213263], [0.0, -1.171269288322044], [0.8623179044209597, 0.5723117962476646], [-2.2026036113354683, 0.0], [0.0, 0.0], [0.05018610409472405, -0.1544569463672958], [-0.875712899224452, 0.28453636920324665], [0.8455284722144745, 1.1637701023996156], [-1.044446352343111, 0.7588346931973416], [0.0, 0.0], [0.04425098323305412, -0.13619052260018882], [-1.583504049524538, 2.179506344758464], [0.0, -0.6803902930863136], [-0.09672887385592584, -2.281077902029975], [0.0, 0.0], [-0.03231646007323927, -0.023479282597795567], [-0.17390695253869776, -0.056505794191664134], [-1.8992534709968802, 0.6171048608655992], [0.8606407241358973, -0.6252920874180593], [0.0, 0.0], [0.38877336522591643, 1.1965213858480253], [2.708590570422662, 0.8800744253610459], [-0.4439493599231056, 0.6110438726029123], [1.7418836511909834, 0.0], [0.0, 0.0], [3.3400174776751173, 0.0], [0.4829542913305073, -0.6647295550012783], [-0.7520269280653327, -0.2443483610259536], [0.04759471548698037, 0.14648147231081954], [0.0, 0.0], [0.7588614083126515, -0.5513450860011823], [1.4686884522010626, -0.4772058057499466], [0.09718788061190846, 0.031578256645941265], [0.15591787805222346, 0.11328096928129401], [0.0, 0.0], [-1.757342459385202, 0.6545333873037523], [0.0, -0.9583147820309018], [1.6313282943541212, -2.2453307707020893], [-0.007050603539305794, 0.021699526440071018], [0.0, 0.0], [0.20932906636464488, -0.15208646906157106], [0.09720831289645805, 0.13379576439018967], [-0.996541427839459, 0.32379593801710377], [0.5155629313784125, -1.586739546281155], [0.0, 0.0], [-1.8125745916333202, 0.0], [1.4353069384252208, -0.06086404312098057], [0.0, -2.339227127866402], [1.30911434322203, 0.9511272443726113], [0.0, 0.0], [-0.3294346935122992, -1.0138957327971785], [0.15251169402332654, 0.2099143383141382], [0.30397067528667127, 0.4183797418179881], [-1.0489847963211232, -3.2284432383846573], [0.0, 0.0], [0.997377697141444, 0.72463731345731], [0.0, 0.4516529581843798], [1.9371334868289911, 1.28565618287034], [0.018337236086841083, 0.0], [0.0, 0.0], [-0.5537631695643418, 1.7043077904621633], [0.04786948992504046, -0.015553740125268318], [-0.5184654643187955, -0.7136064914770824], [0.26804774791530434, -0.1947480883965289], [0.0, 0.0], [0.37459399552436795, -1.1528817731500478], [0.2662011093906367, -0.3663943941746415], [0.0, 1.9275610707326292], [0.04421148036893857, 0.05572470780687379], [0.0, 0.0], [-0.7088191576166416, -0.5149872626734251], [-2.16802539117284, -0.7044341515251071], [1.5437827492905896, -0.5016054219490993], [-2.3462715942084227, 1.7046660954433557], [0.0, 0.0], [-0.42290323943056124, -1.3015623378135228], [-1.578868078719457, -0.5130053365293584], [-1.2901023457134102, 1.7756735441973892], [-1.7150840032673011, 0.0], [0.0, 0.0], [-0.9529653569582877, 0.0], [-1.6293279186988332, 2.242577489816], [-1.2808339949824648, -0.4161681925744823], [0.4600590804679582, 1.4159162580842202], [0.0, 0.0], [0.8060668249676157, -0.5856418287532262], [-0.08438864434768735, 0.02741953268695734], [-0.26541569173973345, -0.0862387859355209], [1.41281401717161, 1.0264694676372708], [0.0, 0.0], [0.8558731763416617, 0.5171857558158721], [0.0, 1.6996078244071486], [0.08711259233381252, -0.11990019713363531], [-0.6013011788606375, 1.8506147390634566], [0.0, 0.0], [-0.14979845338205594, 0.10883494701149213], [-0.2905171699245683, -0.39986258027062754], [0.7818282855336796, -0.25403140904189714], [0.21760164032672957, -0.6697089860959063], [0.0, 0.0], [-1.2089166912966463, 0.0], [0.6343213616420246, -2.276203447240849], [0.0, -1.1405138270242112], [1.4047845775444268, 1.0206357382720708], [0.0, 0.0], [0.8733506525902713, 2.6878969256583423], [-0.4993904196495406, -0.68735194486214], [-0.0243000134935572, -0.03344609923973769], [-0.053223243228076304, -0.16380429947812475], [0.0, 0.0], [-0.1531052050773958, -0.11123744274771037], [0.0, 0.46883042828633764], [-0.977200583432064, 0.7753021255966595], [-0.1372542481140175, 0.0], [0.0, 0.0], [0.5866989286465386, -1.8056736339738106], [1.047109898390354, -0.34022663010746323], [1.2356752331060548, 1.7007610504211765], [0.7038718049371312, -0.5113928005507196], [0.0, 0.0], [-0.08636843269665904, 0.2658147034421364], [1.0849211474651024, -1.4932658525078069], [0.0, 0.08646957642821267], [-1.4394275383292767, 2.1688250120932007], [0.0, 0.0], [2.3846045756162817, 1.732516636661404], [0.022663342930736057, 0.007363766500676945], [-2.788496868107141, 0.906037555331783], [-0.6324032383681223, 0.4594678475227524], [0.0, 0.0], [0.009786772779830744, 0.03012058946655997], [1.8371185995544521, 0.5969160173110549], [0.6565019203838226, -0.9035973739708992], [-0.326942061205381, 0.0], [0.0, 0.0], [-0.9370373496109176, 0.0], [-0.8186108694950041, 1.126721200674111], [3.2875832316329743, 1.0682005449625827], [-0.17181788827694694, -0.5288010861421766], [0.0, 0.0], [0.0456871619098539, -0.03319366611137548], 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[-0.048048559995492526, -0.03490932224614239], [0.0, 0.21564842781757615], [1.5209006942651124, 1.7584820284924374], [0.9988028942499642, 0.0], [0.0, 0.0], [0.05771189323369796, -0.1776189437045681], [-0.3083411076558205, 0.10018609903564707], [-0.14543621350422586, -0.200175774849002], [-1.6101480393760015, 1.1698410269911155], [0.0, 0.0], [-0.5592964960049369, 1.7213376181541993], [-0.0983875480214559, 0.13541884229622128], [0.0, 2.094512256723158], [0.017664161470134956, 0.004922563037843865], [0.0, 0.0], [-0.09869926632158711, -0.07170921446556028], [2.5414750863747306, 0.8257753130483768], [0.4486779222728912, -0.14578429421131936], [0.2787621042140719, -0.20253252390778564], [0.0, 0.0], [-0.297031069103576, -0.914167631409641], [-0.2585672633621261, -0.0840135966673959], [1.3289889632880147, -1.8291963815753516], [0.014999623146924783, 0.0], [0.0, 0.0], [0.7915752110710896, 0.0], [-0.5867524300296196, 0.8075954364852959], [1.1664365266398558, 0.3789982019107883], [0.20812922030363193, 0.6405558749336094], [0.0, 0.0], [0.9886044812811017, -0.7182631990274001], [0.4469370384230476, -0.1452186467596514], [-2.314765091504202, -0.7521127703820809], [0.7161241339986099, 0.5202946386809999], [0.0, 0.0]], 'angles': [0.28042852400849055, -0.1134355091444851, None, -0.17246063234739797, None, 0.20718596148361168, 0.00397437627387383, -0.3850343398539485, 0.0017543699096412226, -0.014990872620452135, -0.22006296241280335, -0.3761451253881989, -0.43859481156854896, -0.44475343362778963, -0.21457161447754627, -0.4616331644128259, -0.03773135193029031, -0.27230682510547544, -0.42047115459525886, -0.3293518563135502, -0.3877641236402604, 1.629203053023446e-05, -0.05837388900402652, -0.24854074867160494, -0.363644954990972, -0.22216966752176368, -0.14929448439809812, -0.35584697008985366, -0.41400474761986994, -0.317577862930976, -0.13974351725547632, -0.3533052080697687, -0.16982899765939094, -0.0637229465266203, -0.2783712320075536, -0.47231447208137445, -0.19810365191704626, -0.3056973856073545, 0.22259736697320628, -0.25398984364360794, -0.28652936382778615, -0.460916860103748, -0.4355928433516338, -0.034991199873748303, 0.09460854340577313, -0.2751809281346365, -0.16268001570537696, -0.14397718519138764, -0.3382821576145921, -0.13916217082478732, -0.3022937105561294, 0.15330195596526416, -0.03747549301545721, -0.0010472440546951069, -0.16581347275801547, 0.15450915492926479, -0.3791078377033667, -0.08654447214488001, -0.4068994773091541, -0.3488641160549809, -0.17492536914136828, -0.3721626169261153, 0.009590379972654989, 0.1283032094567735, -0.4464723264449484, -0.48598873166124007, -0.1490665337199327, -0.36255220559892143, 0.03962255556669886, -0.370377047974823, 0.11458197045942983, -0.005524367000923255, -0.36490291897312654, -0.4076446774108971, 0.3293710854603631, -0.40809468239122243, -0.02545844065750227, -0.3287831506056951, -0.41747198548851727, -0.13300716910829227, -0.17445209554434699, 0.18340099157392292, -0.18208302387057396, -0.18536838186905677, -0.15683504450152197, -0.2795861879209482, -0.0962806493504501, -0.15953754561246467, -0.12891596425014848, 0.004868755829562565, -0.05484120652838924, -0.33888667670674094, -0.10746535785484713, -0.4180256542588986, 0.06720163730650906, -0.24884681326049468, 0.20991099242168784, -0.04229661362681621, -0.10836417027880257, -0.06567467057764297, -0.204812688351085, -0.2832292449508684, -0.3431157025672754, -0.3539035381344978, -0.3414120000112994, -0.10247316875212109, -0.23977999639797498, 0.036927728284612216, -0.3559056696678661, 0.1519447167981445, 0.21635689782392903, -0.15140318595536073, -0.3639823080994165, -0.40994269093316993, -0.045111788849248886, -0.34427462909103984, -0.1656056877772085, -0.3282379497263886, -0.26268881207554207, -0.29182232790837354, -0.4188647601809683, -0.3819096842997215, -0.00369899023321439, 0.04039938438184381, -0.12861536910900911, -0.2919235056936882, -0.4097171258675151, -0.3774522582054997, 0.12135563037495879, -0.265575450952785, -0.02691224113291934, -0.12260514722834724, -0.4027672092999466, -0.41848292242762225, -0.10358028727067306, -0.05855412343847089, -0.22786559007084858, -0.047354383663335574, -0.04233387311489407, -0.44443095453101805, -0.4397800971345661, -0.011385247089496437, -0.2749801146006969, -0.35647947568675054, 0.034416616465964715, 0.1113538556194243, -0.07606089544604377, 0.03850513697092259, -0.3415116380601804, -0.09060776978957563, -0.14581772001179025, -0.043001245789125925, -0.4933352609146384, -0.1838061688568813, -0.1728330250032356, -0.17059001423294215, -0.3924441454939433, -0.32397055456495316, -0.3767330313096556, -0.4540786428370514, 0.00419273980480928, -0.3673148303939531, 0.017194183808346926, -0.4351164585785134, -0.41333582551702724, -0.2621007391399105, -0.18523582206489783, -0.2622506163256233], 'char_orbit_index': 26, 'conrey_index': 224, 'dual_conrey_index': 124, 'dual_embedding_index': 1, 'dual_embedding_m': 9, 'embedding_index': 1, 'embedding_m': 25, 'hecke_orbit': 3, 'hecke_orbit_code': 9008917275214099, 'label': '275.2.z.c.224.1', 'level': 275, 'weight': 2}
• 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': 1100, 'analytic_conductor': 2.1958860555852104, 'char_conductor': 55, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 26, 'char_orbit_label': 'z', 'char_order': 10, 'char_parity': 1, 'char_values': [275, 10, [177, 101], [5, 4]], 'conrey_index': 49, 'cusp_dim': 96, 'dim': 64, 'eis_dim': 48, 'eis_new_dim': 16, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 1718020473107, 'hecke_orbit_dims': [16, 16, 32], 'label': '275.2.z', 'level': 275, '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': [5, 11], 'level_radical': 55, 'mf_dim': 144, 'mf_new_dim': 80, 'num_forms': 3, 'prim_orbit_index': 10, 'relative_dim': 16, 'sturm_bound': 60, 'trace_bound': 4, 'trace_display': [0, 0, 0, 0], 'traces': [64, 0, 0, 20, 0, 6, 0, 0, 4, 0, -14, 0, 0, -6, 0, -40, 0, 0, -2, 0, -44, 0, 0, 10, 0, -76, 0, 0, 2, 0, -28, 0, 0, -8, 0, 18, 0, 0, -66, 0, 58, 0, 0, 82, 0, 4, 0, 0, -4, 0, 98, 0, 0, -72, 0, 64, 0, 0, 64, 0, 40, 0, 0, -40, 0, -58, 0, 0, -26, 0, -52, 0, 0, -122, 0, -92, 0, 0, -30, 0, -70, 0, 0, 60, 0, -64, 0, 0, 76, 0, -4, 0, 0, -20, 0, 228, 0, 0, 52, 0, 102, 0, 0, -74, 0, 62, 0, 0, -44, 0, -92, 0, 0, 122, 0, 144, 0, 0, 88, 0, -126, 0, 0, 16, 0, -72, 0, 0, 88, 0, -120, 0, 0, 88, 0, -166, 0, 0, -138, 0, -94, 0, 0, -32, 0, -44, 0, 0, 34, 0, -70, 0, 0, -72, 0, 202, 0, 0, 30, 0, 50, 0, 0, -12, 0, 124, 0, 0, -18, 0, 178, 0, 0, -114, 0, 14, 0, 0, 98, 0, -44, 0, 0, -26, 0, 52, 0, 0, -134, 0, -80, 0, 0, -8, 0, -16, 0, 0, 32, 0, 162, 0, 0, 288, 0, 78, 0, 0, 2, 0, 134, 0, 0, 282, 0, -142, 0, 0, -80, 0, 56, 0, 0, -160, 0, 74, 0, 0, 130, 0, -80, 0, 0, -26, 0, 80, 0, 0, 22, 0, 60, 0, 0, -122, 0, 88, 0, 0, 32, 0, 150, 0, 0, -436, 0, -420, 0, 0, -224, 0, -84, 0, 0, -162, 0, 8, 0, 0, -192, 0, 116, 0, 0, 592, 0, -456, 0, 0, -188, 0, -234, 0, 0, -42, 0, -18, 0, 0, -224, 0, -48, 0, 0, 72, 0, -288, 0, 0, 150, 0, -128, 0, 0, -6, 0, -38, 0, 0, 188, 0, 156, 0, 0, -4, 0, 254, 0, 0, 154, 0, -72, 0, 0, 52, 0, 34, 0, 0, -76, 0, -64, 0, 0, 2, 0, -118, 0, 0, -106, 0, 44, 0, 0, 204, 0, -28, 0, 0, -4, 0, 144, 0, 0, 14, 0, 252, 0, 0, 66, 0, -102, 0, 0, 212, 0, 40, 0, 0, 54, 0, 18, 0, 0, -280, 0, 138, 0, 0, -112, 0, -118, 0, 0, 148, 0, -260, 0, 0, -98, 0, 4, 0, 0, 80, 0, 380, 0, 0, -162, 0, 20, 0, 0, -130, 0, 540, 0, 0, 14, 0, 120, 0, 0, -32, 0, 184, 0, 0, 264, 0, 40, 0, 0, -368, 0, -174, 0, 0, 154, 0, -6, 0, 0, 146, 0, 86, 0, 0, 180, 0, 112, 0, 0, 106, 0, -100, 0, 0, 48, 0, 10, 0, 0, 384, 0, 286, 0, 0, 40, 0, 136, 0, 0, 30, 0, -68, 0, 0, -98, 0, 172, 0, 0, -228, 0, 182, 0, 0, 348, 0, -62, 0, 0, -440, 0, -186, 0, 0, -92, 0, -110, 0, 0, -476, 0, 492, 0, 0, -76, 0, -66, 0, 0, 156, 0, -56, 0, 0, 42, 0, 122, 0, 0, 248, 0, -636, 0, 0, -240, 0, 240, 0, 0, 382, 0, 98, 0, 0, 136, 0, -210, 0, 0, -142, 0, -414, 0, 0, 24, 0, -336, 0, 0, 110, 0, -500, 0, 0, 412, 0, -140, 0, 0, -302, 0, -688, 0, 0, -22, 0, -198, 0, 0, -308, 0, -174, 0, 0, 264, 0, -392, 0, 0, 182, 0, 102, 0, 0, -302, 0, -220, 0, 0, -216, 0, 42, 0, 0, -248, 0, -260, 0, 0, 268, 0, -638, 0, 0, -240, 0, 50, 0, 0, -1088, 0, 524, 0, 0, 396, 0, -76, 0, 0, -236, 0, 474, 0, 0, -328, 0, 24, 0, 0, -380, 0, 436, 0, 0, -218, 0, 204, 0, 0, 122, 0, 262, 0, 0, 164, 0, 90, 0, 0, 586, 0, -138, 0, 0, -126, 0, -234, 0, 0, -4, 0, -68, 0, 0, 468, 0, -48, 0, 0, 358, 0, 428, 0, 0, 130, 0, 460, 0, 0, 434, 0, 106, 0, 0, 142, 0, 1112, 0, 0, 326, 0, 166, 0, 0, 26, 0, 274, 0, 0, -44, 0, 280, 0, 0, -214, 0, -100, 0, 0, 768, 0, -90, 0, 0, 8, 0, 258, 0, 0, -668, 0, -188, 0, 0, -232, 0, 344, 0, 0, -6, 0, -154, 0, 0, 118, 0, 220, 0, 0, -224, 0, 580, 0, 0, 42, 0, 410, 0, 0, -176, 0, 154, 0, 0, -752, 0, -8, 0, 0, 388, 0, -378, 0, 0, 262, 0, 70, 0, 0, -198, 0, 68, 0, 0, -396, 0, -224, 0, 0, 192, 0, 90, 0, 0, 232, 0, -532, 0, 0, -400, 0, -36, 0, 0, 86, 0, -808, 0, 0, 68, 0, -82, 0, 0, 174, 0, -184, 0, 0, 300, 0, -442, 0, 0, -248, 0, -246, 0, 0, 40, 0, -524, 0, 0, -194, 0, -464, 0, 0, 968, 0, -328, 0, 0, -160, 0, -600, 0, 0, -668, 0, -368, 0, 0, 28, 0, 30, 0, 0, 104, 0, -820, 0, 0, 372, 0, -4, 0, 0, 102, 0, -678, 0, 0, 700, 0, -48, 0, 0, -126, 0, 132, 0, 0, -58, 0, -10, 0, 0, 426, 0, 126, 0, 0, -632, 0, 492, 0, 0, 8, 0, -112, 0, 0, 168, 0, 580, 0, 0, 208, 0, 84, 0, 0, -424, 0, 408, 0, 0, -294, 0, 454, 0, 0, -62, 0, -156, 0, 0, -80, 0, 310, 0, 0, 256, 0, 494, 0, 0, -504, 0, 168, 0, 0, -352, 0, 264, 0, 0, 292, 0, -136, 0, 0, 508, 0, 420, 0, 0, -32, 0, 408, 0, 0, -212, 0, 30, 0, 0, 62, 0, 1152, 0, 0, -170, 0, -260, 0, 0, -120, 0, 234, 0, 0, -52, 0, 26, 0, 0, -420, 0, -190, 0, 0, 208, 0, 242, 0, 0, 244, 0, -26, 0, 0, 536, 0, 164, 0, 0, 356, 0, 546, 0, 0, -382, 0], 'weight': 2, '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: 41743993
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 224, 'source_dim': 32, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008917275214099, 'source_is_minimal': False, 'source_label': '275.2.z.c.224.1', 'source_level': 275, 'target_conrey_index': 224, 'target_dim': 32, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9008917275214099, 'target_is_minimal': False, 'target_label': '275.2.z.c.224.1', 'target_level': 275, 'twist_class_label': '275.2.h.c.26.4', 'twist_class_level': 275, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 41743994
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 224, 'source_dim': 32, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008917275214099, 'source_is_minimal': False, 'source_label': '275.2.z.c.224.1', 'source_level': 275, 'target_conrey_index': 26, 'target_dim': 16, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014879579373843, 'target_is_minimal': True, 'target_label': '275.2.h.e.26.1', 'target_level': 275, 'twist_class_label': '275.2.h.c.26.4', 'twist_class_level': 275, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 41743995
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 224, 'source_dim': 32, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008917275214099, 'source_is_minimal': False, 'source_label': '275.2.z.c.224.1', 'source_level': 275, 'target_conrey_index': 26, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007680324632851, 'target_is_minimal': True, 'target_label': '275.2.h.c.26.4', 'target_level': 275, 'twist_class_label': '275.2.h.c.26.4', 'twist_class_level': 275, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41743996
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 224, 'source_dim': 32, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008917275214099, 'source_is_minimal': False, 'source_label': '275.2.z.c.224.1', 'source_level': 275, 'target_conrey_index': 224, 'target_dim': 32, 'target_embedding_index': 8, 'target_hecke_orbit_code': 9008917275214099, 'target_is_minimal': False, 'target_label': '275.2.z.c.224.8', 'target_level': 275, 'twist_class_label': '275.2.h.c.26.4', 'twist_class_level': 275, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 41743997
    {'conductor': 11, 'degree': 4, 'order': 5, 'parity': 1, 'source_conrey_index': 224, 'source_dim': 32, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008917275214099, 'source_is_minimal': False, 'source_label': '275.2.z.c.224.1', 'source_level': 275, 'target_conrey_index': 124, 'target_dim': 32, 'target_embedding_index': 8, 'target_hecke_orbit_code': 9008917275214099, 'target_is_minimal': False, 'target_label': '275.2.z.c.124.8', 'target_level': 275, 'twist_class_label': '275.2.h.c.26.4', 'twist_class_level': 275, 'twisting_char_label': '11.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41743998
    {'conductor': 55, 'degree': 8, 'order': 20, 'parity': -1, 'source_conrey_index': 224, 'source_dim': 32, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008917275214099, 'source_is_minimal': False, 'source_label': '275.2.z.c.224.1', 'source_level': 275, 'target_conrey_index': 201, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007680324632851, 'target_is_minimal': True, 'target_label': '275.2.h.c.201.4', 'target_level': 275, 'twist_class_label': '275.2.h.c.26.4', 'twist_class_level': 275, 'twisting_char_label': '55.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41743999
    {'conductor': 55, 'degree': 4, 'order': 10, 'parity': 1, 'source_conrey_index': 224, 'source_dim': 32, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008917275214099, 'source_is_minimal': False, 'source_label': '275.2.z.c.224.1', 'source_level': 275, 'target_conrey_index': 124, 'target_dim': 32, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9008917275214099, 'target_is_minimal': False, 'target_label': '275.2.z.c.124.1', 'target_level': 275, 'twist_class_label': '275.2.h.c.26.4', 'twist_class_level': 275, 'twisting_char_label': '55.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 41744000
    {'conductor': 55, 'degree': 8, 'order': 20, 'parity': 1, 'source_conrey_index': 224, 'source_dim': 32, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008917275214099, 'source_is_minimal': False, 'source_label': '275.2.z.c.224.1', 'source_level': 275, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 157625986991524817, 'target_is_minimal': False, 'target_label': '3025.2.a.bj.1.2', 'target_level': 3025, 'twist_class_label': '275.2.h.c.26.4', 'twist_class_level': 275, 'twisting_char_label': '55.17', 'twisting_conrey_index': 17, 'weight': 2}
  • id: 41744001
    {'conductor': 55, 'degree': 8, 'order': 20, 'parity': -1, 'source_conrey_index': 224, 'source_dim': 32, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008917275214099, 'source_is_minimal': False, 'source_label': '275.2.z.c.224.1', 'source_level': 275, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 7, 'target_hecke_orbit_code': 175640385501006801, 'target_is_minimal': False, 'target_label': '3025.2.a.bn.1.7', 'target_level': 3025, 'twist_class_label': '275.2.h.c.26.4', 'twist_class_level': 275, 'twisting_char_label': '55.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 41744002
    {'conductor': 55, 'degree': 8, 'order': 20, 'parity': 1, 'source_conrey_index': 224, 'source_dim': 32, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008917275214099, 'source_is_minimal': False, 'source_label': '275.2.z.c.224.1', 'source_level': 275, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 7, 'target_hecke_orbit_code': 171136785873636305, 'target_is_minimal': False, 'target_label': '3025.2.a.bm.1.7', 'target_level': 3025, 'twist_class_label': '275.2.h.c.26.4', 'twist_class_level': 275, 'twisting_char_label': '55.28', 'twisting_conrey_index': 28, 'weight': 2}
  • id: 41744003
    {'conductor': 55, 'degree': 8, 'order': 20, 'parity': -1, 'source_conrey_index': 224, 'source_dim': 32, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008917275214099, 'source_is_minimal': False, 'source_label': '275.2.z.c.224.1', 'source_level': 275, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 153122387364154321, 'target_is_minimal': False, 'target_label': '3025.2.a.bi.1.2', 'target_level': 3025, 'twist_class_label': '275.2.h.c.26.4', 'twist_class_level': 275, 'twisting_char_label': '55.38', 'twisting_conrey_index': 38, 'weight': 2}
  • id: 41744004
    {'conductor': 55, 'degree': 8, 'order': 20, 'parity': -1, 'source_conrey_index': 224, 'source_dim': 32, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008917275214099, 'source_is_minimal': False, 'source_label': '275.2.z.c.224.1', 'source_level': 275, 'target_conrey_index': 201, 'target_dim': 16, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014879579373843, 'target_is_minimal': True, 'target_label': '275.2.h.e.201.1', 'target_level': 275, 'twist_class_label': '275.2.h.c.26.4', 'twist_class_level': 275, 'twisting_char_label': '55.47', 'twisting_conrey_index': 47, 'weight': 2}
• hecke_orbit_code 9008917275214099 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 26, 'hecke_orbit': 3, 'label': '275.2.z.c', 'level': 275, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 32037127
    {'hecke_orbit_code': 9008917275214099, 'n': 1, 'trace_an': 32}
  • id: 32037128
    {'hecke_orbit_code': 9008917275214099, 'n': 2, 'trace_an': 0}
  • id: 32037129
    {'hecke_orbit_code': 9008917275214099, 'n': 3, 'trace_an': 0}
  • id: 32037130
    {'hecke_orbit_code': 9008917275214099, 'n': 4, 'trace_an': 4}
  • id: 32037131
    {'hecke_orbit_code': 9008917275214099, 'n': 5, 'trace_an': 0}
  • id: 32037132
    {'hecke_orbit_code': 9008917275214099, 'n': 6, 'trace_an': -6}
  • id: 32037133
    {'hecke_orbit_code': 9008917275214099, 'n': 7, 'trace_an': 0}
  • id: 32037134
    {'hecke_orbit_code': 9008917275214099, 'n': 8, 'trace_an': 0}
  • id: 32037135
    {'hecke_orbit_code': 9008917275214099, 'n': 9, 'trace_an': -16}
  • id: 32037136
    {'hecke_orbit_code': 9008917275214099, 'n': 10, 'trace_an': 0}
  • id: 32037137
    {'hecke_orbit_code': 9008917275214099, 'n': 11, 'trace_an': -10}
  • id: 32037138
    {'hecke_orbit_code': 9008917275214099, 'n': 12, 'trace_an': 0}
  • id: 32037139
    {'hecke_orbit_code': 9008917275214099, 'n': 13, 'trace_an': 0}
  • id: 32037140
    {'hecke_orbit_code': 9008917275214099, 'n': 14, 'trace_an': -6}
  • id: 32037141
    {'hecke_orbit_code': 9008917275214099, 'n': 15, 'trace_an': 0}
  • id: 32037142
    {'hecke_orbit_code': 9008917275214099, 'n': 16, 'trace_an': -8}
  • id: 32037143
    {'hecke_orbit_code': 9008917275214099, 'n': 17, 'trace_an': 0}
  • id: 32037144
    {'hecke_orbit_code': 9008917275214099, 'n': 18, 'trace_an': 0}
  • id: 32037145
    {'hecke_orbit_code': 9008917275214099, 'n': 19, 'trace_an': 26}
  • id: 32037146
    {'hecke_orbit_code': 9008917275214099, 'n': 20, 'trace_an': 0}
  • id: 32037147
    {'hecke_orbit_code': 9008917275214099, 'n': 21, 'trace_an': 20}
  • id: 32037148
    {'hecke_orbit_code': 9008917275214099, 'n': 22, 'trace_an': 0}
  • id: 32037149
    {'hecke_orbit_code': 9008917275214099, 'n': 23, 'trace_an': 0}
  • id: 32037150
    {'hecke_orbit_code': 9008917275214099, 'n': 24, 'trace_an': 86}
  • id: 32037151
    {'hecke_orbit_code': 9008917275214099, 'n': 25, 'trace_an': 0}
  • id: 32037152
    {'hecke_orbit_code': 9008917275214099, 'n': 26, 'trace_an': -68}
  • id: 32037153
    {'hecke_orbit_code': 9008917275214099, 'n': 27, 'trace_an': 0}
  • id: 32037154
    {'hecke_orbit_code': 9008917275214099, 'n': 28, 'trace_an': 0}
  • id: 32037155
    {'hecke_orbit_code': 9008917275214099, 'n': 29, 'trace_an': 22}
  • id: 32037156
    {'hecke_orbit_code': 9008917275214099, 'n': 30, 'trace_an': 0}
  • id: 32037157
    {'hecke_orbit_code': 9008917275214099, 'n': 31, 'trace_an': -20}
  • id: 32037158
    {'hecke_orbit_code': 9008917275214099, 'n': 32, 'trace_an': 0}
  • id: 32037159
    {'hecke_orbit_code': 9008917275214099, 'n': 33, 'trace_an': 0}
  • id: 32037160
    {'hecke_orbit_code': 9008917275214099, 'n': 34, 'trace_an': -40}
  • id: 32037161
    {'hecke_orbit_code': 9008917275214099, 'n': 35, 'trace_an': 0}
  • id: 32037162
    {'hecke_orbit_code': 9008917275214099, 'n': 36, 'trace_an': 6}
  • id: 32037163
    {'hecke_orbit_code': 9008917275214099, 'n': 37, 'trace_an': 0}
  • id: 32037164
    {'hecke_orbit_code': 9008917275214099, 'n': 38, 'trace_an': 0}
  • id: 32037165
    {'hecke_orbit_code': 9008917275214099, 'n': 39, 'trace_an': -6}
  • id: 32037166
    {'hecke_orbit_code': 9008917275214099, 'n': 40, 'trace_an': 0}
  • id: 32037167
    {'hecke_orbit_code': 9008917275214099, 'n': 41, 'trace_an': 50}
  • id: 32037168
    {'hecke_orbit_code': 9008917275214099, 'n': 42, 'trace_an': 0}
  • id: 32037169
    {'hecke_orbit_code': 9008917275214099, 'n': 43, 'trace_an': 0}
  • id: 32037170
    {'hecke_orbit_code': 9008917275214099, 'n': 44, 'trace_an': 2}
  • id: 32037171
    {'hecke_orbit_code': 9008917275214099, 'n': 45, 'trace_an': 0}
  • id: 32037172
    {'hecke_orbit_code': 9008917275214099, 'n': 46, 'trace_an': 80}
  • id: 32037173
    {'hecke_orbit_code': 9008917275214099, 'n': 47, 'trace_an': 0}
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    {'hecke_orbit_code': 9008917275214099, 'n': 937, 'trace_an': 0}
  • id: 32037375
    {'hecke_orbit_code': 9008917275214099, 'n': 941, 'trace_an': 288}
  • id: 32037376
    {'hecke_orbit_code': 9008917275214099, 'n': 947, 'trace_an': 0}
  • id: 32037377
    {'hecke_orbit_code': 9008917275214099, 'n': 953, 'trace_an': 0}
  • id: 32037378
    {'hecke_orbit_code': 9008917275214099, 'n': 961, 'trace_an': -52}
  • id: 32037379
    {'hecke_orbit_code': 9008917275214099, 'n': 967, 'trace_an': 0}
  • id: 32037380
    {'hecke_orbit_code': 9008917275214099, 'n': 971, 'trace_an': 22}
  • id: 32037381
    {'hecke_orbit_code': 9008917275214099, 'n': 977, 'trace_an': 0}
  • id: 32037382
    {'hecke_orbit_code': 9008917275214099, 'n': 983, 'trace_an': 0}
  • id: 32037383
    {'hecke_orbit_code': 9008917275214099, 'n': 991, 'trace_an': 28}
  • id: 32037384
    {'hecke_orbit_code': 9008917275214099, 'n': 997, 'trace_an': 0}