Embedded newform data - 945.2.p.b.622.7

Formats: - HTML - YAML - JSON - 2024-06-08T07:06:15.553614

• 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': 3780, 'analytic_conductor': 7.5458629910109964, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 35, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 16, 'char_orbit_label': 'p', 'char_order': 4, 'char_parity': 1, 'char_values': [945, 4, [596, 757, 136], [4, 3, 2]], 'cm_discs': [], 'conrey_index': 433, 'dim': 48, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [4, 0, 0, 0, 3308, 0, 0, 0, 13921, 0, 0, 0, 8417, 0, 0, 0, 1208, 0, 0, 0, 61, 0, 0, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4504630453076913, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 5, 3, -1, 4, 0], [1, 1, 7, 2, -1, 2, 0], [1, 1, 15, 5, 1, 4, 0], [1, 1, 21, 3, 1, 2, 0], [1, 1, 35, 6, 1, 4, 0], [1, 1, 105, 11, -1, 4, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '945.2.p.b', 'level': 945, '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': [3, 5, 7], 'level_radical': 105, 'minimal_twist': '945.2.p.b', 'prim_orbit_index': 6, 'related_objects': [], 'relative_dim': 24, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '945.2.p', 'trace_display': [0, 0, 0, -8], 'traces': [48, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 8, 0, 0, -48, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -40, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, -48, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 280, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 216, 0, 0, 32, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -16, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, -304, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 248, 0, 0, -152, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, -64, 0, 0, -240, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -176, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 272, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 344, 0, 0, 184, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 304, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, -176, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 488, 0, 0, -224, 0, 0, -312, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 184, 0, 0, -768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 336, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -464, 0, 0, 0, 0, 0, -276, 0, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, -440, 0, 0, 32, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, -48, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 240, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -640, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, 0, -296, 0, 0, 0, 0, 0, 176, 0, 0, 136, 0, 0, 248, 0, 0, 0, 0, 0, 0, 0, 0, 528, 0, 0, 0, 0, 0, 16, 0, 0, 664, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 0, -184, 0, 0, 324, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 88, 0, 0, 400, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 824, 0, 0, 0, 0, 0, 212, 0, 0, 0, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 488, 0, 0, 240, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, -344, 0, 0, 0, 0, 0, -168, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, -376, 0, 0, -248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 344, 0, 0, -648, 0, 0, -704, 0, 0, 0, 0, 0, 0, 0, 0, -352, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, -424, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, -1048, 0, 0, -352, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, 0, -312, 0, 0, 0, 0, 0, -328, 0, 0, 504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 0, 680, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -496, 0, 0, -128, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, -960, 0, 0, 0, 0, 0, 552, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 16, 0, 0, 272, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 472, 0, 0, 0, 0, 0, 600, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, 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], [-0.5901608954992893, -0.5901608954992893], [0.0, 0.0], [0.0, -0.3034202348469539], [-0.7389604680012692, 0.6737487860704056], [0.0, 0.0], [-0.9878414177189222, -0.1554648945552335], [-0.7692276530091723, 0.7692276530091723], [0.0, 0.0], [0.8337257584630726, 0.03848538460533332], [1.6185994492982048, 0.0], [0.0, 0.0], [-0.0585856217150583, -0.0585856217150583], [0.4912360743028674, 0.6747346770817058], [0.0, 0.0], [0.6045159262384655, 0.0], [-1.1267360404652424, 1.1267360404652424], [0.0, 0.0], [0.9799701404324169, 0.0], [0.20442901489733256, 0.22421555874356006], [0.0, 0.0], [-0.955234100452485, -0.955234100452485], [0.9260130038909612, -0.9260130038909612], [0.0, 0.0], [0.09212514653730972, -0.9957474365397478], [0.0, 0.06914988594948283], [0.0, 0.0], [-0.047171194816405866, 0.29973107495582324], [0.0, 0.7484041936504631], [0.0, 0.0], [0.0, -1.1774216804749185], [0.41246599263669714, 0.41246599263669714], [0.0, 0.0], [1.3299111012645817, 0.0], [0.8347200403317642, -0.550674544779889], [0.0, 0.0], [-0.7984749456125193, -0.7984749456125193], [-0.5783400556401594, -0.5783400556401594], [0.0, 0.0], [0.0501626290404589, -1.0866950238938928], [0.0, -0.2993783563480334], [0.0, 0.0], [0.7642692828926662, -0.7642692828926662], [0.0, -0.49111582502921153], [0.0, 0.0], [-1.092993327240553, 0.0], [1.0597655286931569, -1.0597655286931569], [0.0, 0.0], [0.9516613331218603, 0.3071493236859292], [-0.6420198578178813, 0.5332825398609574], [0.0, 0.0], [-0.017776063099437793, 0.017776063099437793], [-0.19273311742712818, 0.19273311742712818], [0.0, 0.0], [-1.196081006559998, 1.0905294140988926], [0.8794628312612206, -0.6402870393331391], [0.0, 0.0], [0.4416788891201808, -0.4416788891201808], [0.17477430667420552, 0.0], [0.0, 0.0], [0.0, -0.13306346024088564], [-0.6948682333293559, 0.6948682333293559], [0.0, 0.0], [0.0, -1.0913585253934184], [0.08276444995240533, 0.0038204669290042817], [0.0, 0.0], [0.8841806842398219, 0.8841806842398219], [0.3418745140084908, 0.3418745140084908], [0.0, 0.0], [-0.8176057089693596, -0.1676325440174341], [-0.3473085535479703, 0.0], [0.0, 0.0], [1.1379560859204358, 1.1379560859204358], [0.0, 0.9424573778728613], [0.0, 0.0], [0.0, -0.29734277015300636], [-1.5989195747138054, -0.2516353927123044], [0.0, 0.0], [0.0, -0.31292033452141566], [-0.44671337176739717, 0.40729187146339296], [0.0, 0.0], [-0.17668139887546072, 0.17668139887546072], [-0.4916738425586862, -0.4916738425586862], [0.0, 0.0], [0.07347635229086011, -1.5917504312613249], [-0.902083688789071, 0.0], [0.0, 0.0], [-1.2450714555455968, 1.2450714555455968], [0.26871134619717707, 0.0], [0.0, 0.0], [0.048765296110563336, 0.06698131111533201], [-0.28097108311192864, -0.28097108311192864], [0.0, 0.0], [-1.2508643468656624, 0.0], [-0.7241591936012084, 0.6602536925015858], [0.0, 0.0], [1.334147853912961, -1.334147853912961], [-0.3803657846487555, -0.7429008244857336], [0.0, 0.0], [-0.3021299210431426, -0.027952633597660557], [0.0, -0.2622487359092426], [0.0, 0.0], [0.8574573878159767, 0.8574573878159767], [0.090131360583915, 0.0], [0.0, 0.0], [0.2274870983463273, 0.0], [-1.0068991046113291, -1.0068991046113291], [0.0, 0.0], [0.0, 0.6317760683325688], [1.3494680535140575, 0.06229242232822213], [0.0, 0.0], [-0.5971658696090731, -0.09398100472962234], [1.0134826305942084, -1.0134826305942084], [0.0, 0.0], [-0.06038686547358098, 1.3081871399874707], [0.22708097619786866, 0.0], [0.0, 0.0], [-0.10314496133711654, -0.10314496133711654], [1.2882044273307, -0.9378686278856797], [0.0, 0.0], [1.619864177268452, 0.0], [-0.07852885085399515, 0.07852885085399515], [0.0, 0.0], [-0.3572535628035948, 0.0], [0.6028067852014775, 0.7978871973625469], [0.0, 0.0], [0.6995112960292097, 0.6995112960292097], [-0.23161113202026648, 0.23161113202026648], [0.0, 0.0], [-0.04658965171537106, -0.05109903208346423], [0.0, -0.8415975535526029], [0.0, 0.0], [-0.9680550928469701, -0.15235095454960307], [0.0, -1.0436177287882953], [0.0, 0.0], [0.0, -1.7334330399358522], [0.2400811134412918, 0.2400811134412918], [0.0, 0.0], [-0.7491657037265084, 0.0], [-0.16708579970135332, -0.25327095066892275], [0.0, 0.0], [0.204967926976433, 0.204967926976433], [-0.09482665504478632, -0.09482665504478632], [0.0, 0.0], [-0.5042364169620002, -0.5530411131940587], [0.0, -1.3431543654113411], [0.0, 0.0], [-0.24227345551715931, 0.24227345551715931], [0.0, 0.18907732358802992], [0.0, 0.0], [0.6229449119478765, 0.0], [-0.753820131143897, 0.753820131143897], [0.0, 0.0], [0.7951144393420333, 1.0921251767468512], [0.7932864279129532, 0.8700680760385866], [0.0, 0.0], [0.10482447107015123, -0.10482447107015123], [-0.18467334484109582, 0.18467334484109582], [0.0, 0.0], [-0.5826945247877213, -0.02689760111912225], [-1.0587165125964881, 0.7707914845831216], [0.0, 0.0], [0.0021943824045248203, -0.0021943824045248203], [-0.09083745119121533, 0.0], [0.0, 0.0], [0.0, 0.5803333504360216], [-0.47304847738712225, 0.47304847738712225], [0.0, 0.0], [0.0, -0.9931354498565201], [-0.9827517297905587, 0.8960259900585682], [0.0, 0.0], [-0.2318947653016058, -0.2318947653016058], [-0.7696364168388259, -0.7696364168388259], [0.0, 0.0], [-0.24580880558827545, 0.9693183332090988], [0.9784691453015745, 0.0], [0.0, 0.0], [-0.15858292870254556, -0.15858292870254556], [0.0, 1.7124887890361566], [0.0, 0.0], [0.0, 0.7979968369347085], [0.010750379727642772, -0.06830912137143891], [0.0, 0.0], [0.0, 1.424629619278035], [1.1280129448111833, 0.05206989418304727], [0.0, 0.0], [-1.8237343346014812, 1.8237343346014812], [-0.3215543055987839, -0.3215543055987839], [0.0, 0.0], [0.8170263486031806, 0.037714527756284075], [1.2437488093545002, 0.0], [0.0, 0.0], [-0.8081997395636371, 0.8081997395636371], [-1.574723784387456, 0.0], [0.0, 0.0], [0.09319531992586769, -0.28875330519060005], [0.3507324353314235, 0.3507324353314235], [0.0, 0.0], [-0.6265905343593856, 0.0], [0.6950912533453492, 0.8368216738533908], [0.0, 0.0], [-0.15476894882775522, 0.15476894882775522], 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-0.22048613476681764, -0.47608634884775686, -0.28413268294939414, -0.2401788636221944, -0.3967578055222962, -0.23607413991074702, -0.489403318801331, -0.017506627426229944, -0.2777787634560112, 0.023825253618132446, -0.4749958583657419, -0.18151282755835166, -0.22855176875856514, -0.17881105125633442, -0.4790706387222044, -0.021323747429055774, -0.4988981504908293, 0.05115119978699829, -0.24783944156630008, -0.042651941437011016, -0.4308749225584983, -0.0978498925041669, -0.31110703579649207, 0.015068798820254138, -0.1995889168153486, -0.3631922733081746, -0.3747530451155676, -0.42928299968788897, -0.2165862350750332, 0.16360412006702243, 0.0653210547232795, -0.14318571387299117, -0.4718159466213877, -0.08511248202627306, -0.30071647573477833, -0.10183083386143982, -0.12173383757304698, -0.4200339167025466, -0.25921340934512127, -0.26041558565812123, 0.09347843949444047, 0.005644071429842327, 0.09569000911084206, -0.49823945189977886, -0.3936298182439596, -0.2117008599356555, 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• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 3780, 'analytic_conductor': 7.5458629910109964, 'char_conductor': 35, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 16, 'char_orbit_label': 'p', 'char_order': 4, 'char_parity': 1, 'char_values': [945, 4, [596, 757, 136], [4, 3, 2]], 'conrey_index': 433, 'cusp_dim': 264, 'dim': 128, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 1030825706417, 'hecke_orbit_dims': [16, 48, 64], 'label': '945.2.p', 'level': 945, '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': [3, 5, 7], 'level_radical': 105, 'mf_dim': 312, 'mf_new_dim': 128, 'num_forms': 3, 'prim_orbit_index': 6, 'relative_dim': 64, 'sturm_bound': 288, 'trace_bound': 1, 'trace_display': [0, 0, 0, 4], 'traces': [128, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 16, 0, 0, 8, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, -24, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, -280, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 32, 0, 0, 40, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, -40, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, -204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 32, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -336, 0, 0, -144, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -184, 0, 0, 544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 116, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 536, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 392, 0, 0, 120, 0, 0, -356, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 496, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, -432, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 40, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, -280, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, -284, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, -416, 0, 0, -304, 0, 0, -268, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, -88, 0, 0, -720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 800, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, -456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, -32, 0, 0, -424, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, -640, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -168, 0, 0, 280, 0, 0, 372, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 16, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 576, 0, 0, 228, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -976, 0, 0, 352, 0, 0, 784, 0, 0, 0, 0, 0, 0, 0, 0, 272, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 1248, 0, 0, 512, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, -48, 0, 0, -528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1472, 0, 0, 0, 0, 0, 0, 0, 0, -432, 0, 0, 452, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, -464, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 768, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, -312, 0, 0, -432, 0, 0, 196, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, -392, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 424, 0, 0, 0, 0, 0, 0, 0, 0, -528, 0, 0, -164, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1000, 0, 0, 432, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, -672, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, 0, -1056, 0, 0, 0, 0, 0, -968, 0, 0, -88, 0, 0, 900, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -88, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -400, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -664, 0, 0, 184, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 380, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1080, 0, 0, -512, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 568, 0, 0, 0, 0, 0, 1256, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 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: 37120912
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 622, 'source_dim': 48, 'source_embedding_index': 7, 'source_hecke_orbit_code': 4504630453076913, 'source_is_minimal': True, 'source_label': '945.2.p.b.622.7', 'source_level': 945, 'target_conrey_index': 622, 'target_dim': 48, 'target_embedding_index': 7, 'target_hecke_orbit_code': 4504630453076913, 'target_is_minimal': True, 'target_label': '945.2.p.b.622.7', 'target_level': 945, 'twist_class_label': '945.2.p.b.433.7', 'twist_class_level': 945, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 37120913
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 622, 'source_dim': 48, 'source_embedding_index': 7, 'source_hecke_orbit_code': 4504630453076913, 'source_is_minimal': True, 'source_label': '945.2.p.b.622.7', 'source_level': 945, 'target_conrey_index': 622, 'target_dim': 48, 'target_embedding_index': 18, 'target_hecke_orbit_code': 4504630453076913, 'target_is_minimal': True, 'target_label': '945.2.p.b.622.18', 'target_level': 945, 'twist_class_label': '945.2.p.b.433.7', 'twist_class_level': 945, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 37120914
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 622, 'source_dim': 48, 'source_embedding_index': 7, 'source_hecke_orbit_code': 4504630453076913, 'source_is_minimal': True, 'source_label': '945.2.p.b.622.7', 'source_level': 945, 'target_conrey_index': 433, 'target_dim': 48, 'target_embedding_index': 8, 'target_hecke_orbit_code': 4504630453076913, 'target_is_minimal': True, 'target_label': '945.2.p.b.433.8', 'target_level': 945, 'twist_class_label': '945.2.p.b.433.7', 'twist_class_level': 945, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 37120915
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 622, 'source_dim': 48, 'source_embedding_index': 7, 'source_hecke_orbit_code': 4504630453076913, 'source_is_minimal': True, 'source_label': '945.2.p.b.622.7', 'source_level': 945, 'target_conrey_index': 622, 'target_dim': 48, 'target_embedding_index': 8, 'target_hecke_orbit_code': 4504630453076913, 'target_is_minimal': True, 'target_label': '945.2.p.b.622.8', 'target_level': 945, 'twist_class_label': '945.2.p.b.433.7', 'twist_class_level': 945, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 37120916
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 622, 'source_dim': 48, 'source_embedding_index': 7, 'source_hecke_orbit_code': 4504630453076913, 'source_is_minimal': True, 'source_label': '945.2.p.b.622.7', 'source_level': 945, 'target_conrey_index': 433, 'target_dim': 48, 'target_embedding_index': 17, 'target_hecke_orbit_code': 4504630453076913, 'target_is_minimal': True, 'target_label': '945.2.p.b.433.17', 'target_level': 945, 'twist_class_label': '945.2.p.b.433.7', 'twist_class_level': 945, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 37120917
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 622, 'source_dim': 48, 'source_embedding_index': 7, 'source_hecke_orbit_code': 4504630453076913, 'source_is_minimal': True, 'source_label': '945.2.p.b.622.7', 'source_level': 945, 'target_conrey_index': 622, 'target_dim': 48, 'target_embedding_index': 17, 'target_hecke_orbit_code': 4504630453076913, 'target_is_minimal': True, 'target_label': '945.2.p.b.622.17', 'target_level': 945, 'twist_class_label': '945.2.p.b.433.7', 'twist_class_level': 945, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 2}
  • id: 37120918
    {'conductor': 35, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 622, 'source_dim': 48, 'source_embedding_index': 7, 'source_hecke_orbit_code': 4504630453076913, 'source_is_minimal': True, 'source_label': '945.2.p.b.622.7', 'source_level': 945, 'target_conrey_index': 433, 'target_dim': 48, 'target_embedding_index': 7, 'target_hecke_orbit_code': 4504630453076913, 'target_is_minimal': True, 'target_label': '945.2.p.b.433.7', 'target_level': 945, 'twist_class_label': '945.2.p.b.433.7', 'twist_class_level': 945, 'twisting_char_label': '35.13', 'twisting_conrey_index': 13, 'weight': 2}
  • id: 37120919
    {'conductor': 105, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 622, 'source_dim': 48, 'source_embedding_index': 7, 'source_hecke_orbit_code': 4504630453076913, 'source_is_minimal': True, 'source_label': '945.2.p.b.622.7', 'source_level': 945, 'target_conrey_index': 433, 'target_dim': 48, 'target_embedding_index': 18, 'target_hecke_orbit_code': 4504630453076913, 'target_is_minimal': True, 'target_label': '945.2.p.b.433.18', 'target_level': 945, 'twist_class_label': '945.2.p.b.433.7', 'twist_class_level': 945, 'twisting_char_label': '105.83', 'twisting_conrey_index': 83, 'weight': 2}
• hecke_orbit_code 4504630453076913 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': 16, 'hecke_orbit': 2, 'label': '945.2.p.b', 'level': 945, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 24352597
    {'hecke_orbit_code': 4504630453076913, 'n': 1, 'trace_an': 48}
  • id: 24352598
    {'hecke_orbit_code': 4504630453076913, 'n': 2, 'trace_an': 0}
  • id: 24352599
    {'hecke_orbit_code': 4504630453076913, 'n': 3, 'trace_an': 0}
  • id: 24352600
    {'hecke_orbit_code': 4504630453076913, 'n': 4, 'trace_an': 0}
  • id: 24352601
    {'hecke_orbit_code': 4504630453076913, 'n': 5, 'trace_an': 0}
  • id: 24352602
    {'hecke_orbit_code': 4504630453076913, 'n': 6, 'trace_an': 0}
  • id: 24352603
    {'hecke_orbit_code': 4504630453076913, 'n': 7, 'trace_an': -8}
  • id: 24352604
    {'hecke_orbit_code': 4504630453076913, 'n': 8, 'trace_an': 0}
  • id: 24352605
    {'hecke_orbit_code': 4504630453076913, 'n': 9, 'trace_an': 0}
  • id: 24352606
    {'hecke_orbit_code': 4504630453076913, 'n': 10, 'trace_an': 0}
  • id: 24352607
    {'hecke_orbit_code': 4504630453076913, 'n': 11, 'trace_an': 0}
  • id: 24352608
    {'hecke_orbit_code': 4504630453076913, 'n': 12, 'trace_an': 0}
  • id: 24352609
    {'hecke_orbit_code': 4504630453076913, 'n': 13, 'trace_an': 0}
  • id: 24352610
    {'hecke_orbit_code': 4504630453076913, 'n': 14, 'trace_an': 0}
  • id: 24352611
    {'hecke_orbit_code': 4504630453076913, 'n': 15, 'trace_an': 0}
  • id: 24352612
    {'hecke_orbit_code': 4504630453076913, 'n': 16, 'trace_an': 40}
  • id: 24352613
    {'hecke_orbit_code': 4504630453076913, 'n': 17, 'trace_an': 0}
  • id: 24352614
    {'hecke_orbit_code': 4504630453076913, 'n': 18, 'trace_an': 0}
  • id: 24352615
    {'hecke_orbit_code': 4504630453076913, 'n': 19, 'trace_an': 0}
  • id: 24352616
    {'hecke_orbit_code': 4504630453076913, 'n': 20, 'trace_an': 0}
  • id: 24352617
    {'hecke_orbit_code': 4504630453076913, 'n': 21, 'trace_an': 0}
  • id: 24352618
    {'hecke_orbit_code': 4504630453076913, 'n': 22, 'trace_an': 8}
  • id: 24352619
    {'hecke_orbit_code': 4504630453076913, 'n': 23, 'trace_an': 0}
  • id: 24352620
    {'hecke_orbit_code': 4504630453076913, 'n': 24, 'trace_an': 0}
  • id: 24352621
    {'hecke_orbit_code': 4504630453076913, 'n': 25, 'trace_an': -48}
  • id: 24352622
    {'hecke_orbit_code': 4504630453076913, 'n': 26, 'trace_an': 0}
  • id: 24352623
    {'hecke_orbit_code': 4504630453076913, 'n': 27, 'trace_an': 0}
  • id: 24352624
    {'hecke_orbit_code': 4504630453076913, 'n': 28, 'trace_an': -20}
  • id: 24352625
    {'hecke_orbit_code': 4504630453076913, 'n': 29, 'trace_an': 0}
  • id: 24352626
    {'hecke_orbit_code': 4504630453076913, 'n': 30, 'trace_an': 0}
  • id: 24352627
    {'hecke_orbit_code': 4504630453076913, 'n': 31, 'trace_an': 0}
  • id: 24352628
    {'hecke_orbit_code': 4504630453076913, 'n': 32, 'trace_an': 0}
  • id: 24352629
    {'hecke_orbit_code': 4504630453076913, 'n': 33, 'trace_an': 0}
  • id: 24352630
    {'hecke_orbit_code': 4504630453076913, 'n': 34, 'trace_an': 0}
  • id: 24352631
    {'hecke_orbit_code': 4504630453076913, 'n': 35, 'trace_an': 0}
  • id: 24352632
    {'hecke_orbit_code': 4504630453076913, 'n': 36, 'trace_an': 0}
  • id: 24352633
    {'hecke_orbit_code': 4504630453076913, 'n': 37, 'trace_an': -24}
  • id: 24352634
    {'hecke_orbit_code': 4504630453076913, 'n': 38, 'trace_an': 0}
  • id: 24352635
    {'hecke_orbit_code': 4504630453076913, 'n': 39, 'trace_an': 0}
  • id: 24352636
    {'hecke_orbit_code': 4504630453076913, 'n': 40, 'trace_an': 0}
  • id: 24352637
    {'hecke_orbit_code': 4504630453076913, 'n': 41, 'trace_an': 0}
  • id: 24352638
    {'hecke_orbit_code': 4504630453076913, 'n': 42, 'trace_an': 0}
  • id: 24352639
    {'hecke_orbit_code': 4504630453076913, 'n': 43, 'trace_an': -40}
  • id: 24352640
    {'hecke_orbit_code': 4504630453076913, 'n': 44, 'trace_an': 0}
  • id: 24352641
    {'hecke_orbit_code': 4504630453076913, 'n': 45, 'trace_an': 0}
  • id: 24352642
    {'hecke_orbit_code': 4504630453076913, 'n': 46, 'trace_an': 40}
  • id: 24352643
    {'hecke_orbit_code': 4504630453076913, 'n': 47, 'trace_an': 0}
  • id: 24352644
    {'hecke_orbit_code': 4504630453076913, 'n': 48, 'trace_an': 0}
  • id: 24352645
    {'hecke_orbit_code': 4504630453076913, 'n': 49, 'trace_an': 0}
  • id: 24352646
    {'hecke_orbit_code': 4504630453076913, 'n': 50, 'trace_an': 0}
  • id: 24352647
    {'hecke_orbit_code': 4504630453076913, 'n': 51, 'trace_an': 0}
  • id: 24352648
    {'hecke_orbit_code': 4504630453076913, 'n': 52, 'trace_an': 0}
  • id: 24352649
    {'hecke_orbit_code': 4504630453076913, 'n': 53, 'trace_an': 0}
  • id: 24352650
    {'hecke_orbit_code': 4504630453076913, 'n': 54, 'trace_an': 0}
  • id: 24352651
    {'hecke_orbit_code': 4504630453076913, 'n': 55, 'trace_an': 0}
  • id: 24352652
    {'hecke_orbit_code': 4504630453076913, 'n': 56, 'trace_an': 0}
  • id: 24352653
    {'hecke_orbit_code': 4504630453076913, 'n': 57, 'trace_an': 0}
  • id: 24352654
    {'hecke_orbit_code': 4504630453076913, 'n': 58, 'trace_an': -80}
  • id: 24352655
    {'hecke_orbit_code': 4504630453076913, 'n': 59, 'trace_an': 0}
  • id: 24352656
    {'hecke_orbit_code': 4504630453076913, 'n': 60, 'trace_an': 0}
  • id: 24352657
    {'hecke_orbit_code': 4504630453076913, 'n': 61, 'trace_an': 0}
  • id: 24352658
    {'hecke_orbit_code': 4504630453076913, 'n': 62, 'trace_an': 0}
  • id: 24352659
    {'hecke_orbit_code': 4504630453076913, 'n': 63, 'trace_an': 0}
  • id: 24352660
    {'hecke_orbit_code': 4504630453076913, 'n': 64, 'trace_an': 0}
  • id: 24352661
    {'hecke_orbit_code': 4504630453076913, 'n': 65, 'trace_an': 0}
  • id: 24352662
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  • id: 24352663
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  • id: 24352664
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  • id: 24352665
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  • id: 24352666
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  • id: 24352667
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  • id: 24352668
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  • id: 24352669
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  • id: 24352670
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  • id: 24352671
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  • id: 24352672
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  • id: 24352673
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  • id: 24352674
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  • id: 24352675
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  • id: 24352676
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  • id: 24352677
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  • id: 24352678
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  • id: 24352679
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  • id: 24352680
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  • id: 24352681
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  • id: 24352682
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  • id: 24352683
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  • id: 24352684
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  • id: 24352685
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  • id: 24352686
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  • id: 24352687
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  • id: 24352688
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  • id: 24352689
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  • id: 24352690
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  • id: 24352691
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  • id: 24352692
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  • id: 24352693
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  • id: 24352694
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  • id: 24352695
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  • id: 24352696
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  • id: 24352697
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  • id: 24352698
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  • id: 24352699
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  • id: 24352700
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  • id: 24352701
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  • id: 24352702
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  • id: 24352703
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  • id: 24352704
    {'hecke_orbit_code': 4504630453076913, 'n': 127, 'trace_an': 216}
  • id: 24352705
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  • id: 24352706
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  • id: 24352707
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  • id: 24352708
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  • id: 24352709
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  • id: 24352710
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  • id: 24352711
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  • id: 24352712
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  • id: 24352713
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  • id: 24352714
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  • id: 24352715
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  • id: 24352716
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  • id: 24352717
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  • id: 24352718
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  • id: 24352719
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  • id: 24352720
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  • id: 24352721
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  • id: 24352722
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  • id: 24352723
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  • id: 24352724
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  • id: 24352725
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  • id: 24352726
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  • id: 24352727
    {'hecke_orbit_code': 4504630453076913, 'n': 239, 'trace_an': 0}
  • id: 24352728
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  • id: 24352729
    {'hecke_orbit_code': 4504630453076913, 'n': 243, 'trace_an': 0}
  • id: 24352730
    {'hecke_orbit_code': 4504630453076913, 'n': 251, 'trace_an': 0}
  • id: 24352731
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  • id: 24352732
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  • id: 24352733
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  • id: 24352734
    {'hecke_orbit_code': 4504630453076913, 'n': 269, 'trace_an': 0}
  • id: 24352735
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  • id: 24352736
    {'hecke_orbit_code': 4504630453076913, 'n': 277, 'trace_an': 72}
  • id: 24352737
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  • id: 24352738
    {'hecke_orbit_code': 4504630453076913, 'n': 283, 'trace_an': 0}
  • id: 24352739
    {'hecke_orbit_code': 4504630453076913, 'n': 289, 'trace_an': 0}
  • id: 24352740
    {'hecke_orbit_code': 4504630453076913, 'n': 293, 'trace_an': 0}
  • id: 24352741
    {'hecke_orbit_code': 4504630453076913, 'n': 307, 'trace_an': 0}
  • id: 24352742
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  • id: 24352743
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  • id: 24352744
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  • id: 24352745
    {'hecke_orbit_code': 4504630453076913, 'n': 331, 'trace_an': 160}
  • id: 24352746
    {'hecke_orbit_code': 4504630453076913, 'n': 337, 'trace_an': 344}
  • id: 24352747
    {'hecke_orbit_code': 4504630453076913, 'n': 343, 'trace_an': 88}
  • id: 24352748
    {'hecke_orbit_code': 4504630453076913, 'n': 347, 'trace_an': 0}
  • id: 24352749
    {'hecke_orbit_code': 4504630453076913, 'n': 349, 'trace_an': 0}
  • id: 24352750
    {'hecke_orbit_code': 4504630453076913, 'n': 353, 'trace_an': 0}
  • id: 24352751
    {'hecke_orbit_code': 4504630453076913, 'n': 359, 'trace_an': 0}
  • id: 24352752
    {'hecke_orbit_code': 4504630453076913, 'n': 361, 'trace_an': -224}
  • id: 24352753
    {'hecke_orbit_code': 4504630453076913, 'n': 367, 'trace_an': 0}
  • id: 24352754
    {'hecke_orbit_code': 4504630453076913, 'n': 373, 'trace_an': -40}
  • id: 24352755
    {'hecke_orbit_code': 4504630453076913, 'n': 379, 'trace_an': 0}
  • id: 24352756
    {'hecke_orbit_code': 4504630453076913, 'n': 383, 'trace_an': 0}
  • id: 24352757
    {'hecke_orbit_code': 4504630453076913, 'n': 389, 'trace_an': 0}
  • id: 24352758
    {'hecke_orbit_code': 4504630453076913, 'n': 397, 'trace_an': 0}
  • id: 24352759
    {'hecke_orbit_code': 4504630453076913, 'n': 401, 'trace_an': 0}
  • id: 24352760
    {'hecke_orbit_code': 4504630453076913, 'n': 409, 'trace_an': 0}
  • id: 24352761
    {'hecke_orbit_code': 4504630453076913, 'n': 419, 'trace_an': 0}
  • id: 24352762
    {'hecke_orbit_code': 4504630453076913, 'n': 421, 'trace_an': 336}
  • id: 24352763
    {'hecke_orbit_code': 4504630453076913, 'n': 431, 'trace_an': 0}
  • id: 24352764
    {'hecke_orbit_code': 4504630453076913, 'n': 433, 'trace_an': 0}
  • id: 24352765
    {'hecke_orbit_code': 4504630453076913, 'n': 439, 'trace_an': 0}
  • id: 24352766
    {'hecke_orbit_code': 4504630453076913, 'n': 443, 'trace_an': 0}
  • id: 24352767
    {'hecke_orbit_code': 4504630453076913, 'n': 449, 'trace_an': 0}
  • id: 24352768
    {'hecke_orbit_code': 4504630453076913, 'n': 457, 'trace_an': 144}
  • id: 24352769
    {'hecke_orbit_code': 4504630453076913, 'n': 461, 'trace_an': 0}
  • id: 24352770
    {'hecke_orbit_code': 4504630453076913, 'n': 463, 'trace_an': 184}
  • id: 24352771
    {'hecke_orbit_code': 4504630453076913, 'n': 467, 'trace_an': 0}
  • id: 24352772
    {'hecke_orbit_code': 4504630453076913, 'n': 479, 'trace_an': 0}
  • id: 24352773
    {'hecke_orbit_code': 4504630453076913, 'n': 487, 'trace_an': -144}
  • id: 24352774
    {'hecke_orbit_code': 4504630453076913, 'n': 491, 'trace_an': 0}
  • id: 24352775
    {'hecke_orbit_code': 4504630453076913, 'n': 499, 'trace_an': 0}
  • id: 24352776
    {'hecke_orbit_code': 4504630453076913, 'n': 503, 'trace_an': 0}
  • id: 24352777
    {'hecke_orbit_code': 4504630453076913, 'n': 509, 'trace_an': 0}
  • id: 24352778
    {'hecke_orbit_code': 4504630453076913, 'n': 512, 'trace_an': 0}
  • id: 24352779
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  • id: 24352780
    {'hecke_orbit_code': 4504630453076913, 'n': 523, 'trace_an': 0}
  • id: 24352781
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  • id: 24352782
    {'hecke_orbit_code': 4504630453076913, 'n': 541, 'trace_an': -208}
  • id: 24352783
    {'hecke_orbit_code': 4504630453076913, 'n': 547, 'trace_an': -440}
  • id: 24352784
    {'hecke_orbit_code': 4504630453076913, 'n': 557, 'trace_an': 0}
  • id: 24352785
    {'hecke_orbit_code': 4504630453076913, 'n': 563, 'trace_an': 0}
  • id: 24352786
    {'hecke_orbit_code': 4504630453076913, 'n': 569, 'trace_an': 0}
  • id: 24352787
    {'hecke_orbit_code': 4504630453076913, 'n': 571, 'trace_an': -128}
  • id: 24352788
    {'hecke_orbit_code': 4504630453076913, 'n': 577, 'trace_an': 0}
  • id: 24352789
    {'hecke_orbit_code': 4504630453076913, 'n': 587, 'trace_an': 0}
  • id: 24352790
    {'hecke_orbit_code': 4504630453076913, 'n': 593, 'trace_an': 0}
  • id: 24352791
    {'hecke_orbit_code': 4504630453076913, 'n': 599, 'trace_an': 0}
  • id: 24352792
    {'hecke_orbit_code': 4504630453076913, 'n': 601, 'trace_an': 0}
  • id: 24352793
    {'hecke_orbit_code': 4504630453076913, 'n': 607, 'trace_an': 0}
  • id: 24352794
    {'hecke_orbit_code': 4504630453076913, 'n': 613, 'trace_an': 240}
  • id: 24352795
    {'hecke_orbit_code': 4504630453076913, 'n': 617, 'trace_an': 0}
  • id: 24352796
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  • id: 24352797
    {'hecke_orbit_code': 4504630453076913, 'n': 625, 'trace_an': 72}
  • id: 24352798
    {'hecke_orbit_code': 4504630453076913, 'n': 631, 'trace_an': -640}
  • id: 24352799
    {'hecke_orbit_code': 4504630453076913, 'n': 641, 'trace_an': 0}
  • id: 24352800
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  • id: 24352801
    {'hecke_orbit_code': 4504630453076913, 'n': 647, 'trace_an': 0}
  • id: 24352802
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  • id: 24352803
    {'hecke_orbit_code': 4504630453076913, 'n': 659, 'trace_an': 0}
  • id: 24352804
    {'hecke_orbit_code': 4504630453076913, 'n': 661, 'trace_an': 0}
  • id: 24352805
    {'hecke_orbit_code': 4504630453076913, 'n': 673, 'trace_an': 16}
  • id: 24352806
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  • id: 24352807
    {'hecke_orbit_code': 4504630453076913, 'n': 683, 'trace_an': 0}
  • id: 24352808
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  • id: 24352809
    {'hecke_orbit_code': 4504630453076913, 'n': 701, 'trace_an': 0}
  • id: 24352810
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  • id: 24352811
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  • id: 24352812
    {'hecke_orbit_code': 4504630453076913, 'n': 727, 'trace_an': 0}
  • id: 24352813
    {'hecke_orbit_code': 4504630453076913, 'n': 729, 'trace_an': 0}
  • id: 24352814
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  • id: 24352815
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  • id: 24352816
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  • id: 24352817
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  • id: 24352818
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  • id: 24352819
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  • id: 24352820
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  • id: 24352821
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  • id: 24352822
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  • id: 24352823
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  • id: 24352824
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  • id: 24352825
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  • id: 24352826
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  • id: 24352827
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  • id: 24352828
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  • id: 24352829
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  • id: 24352830
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  • id: 24352831
    {'hecke_orbit_code': 4504630453076913, 'n': 841, 'trace_an': 160}
  • id: 24352832
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  • id: 24352833
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  • id: 24352834
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  • id: 24352835
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  • id: 24352836
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  • id: 24352837
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  • id: 24352838
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  • id: 24352839
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  • id: 24352840
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  • id: 24352841
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  • id: 24352842
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  • id: 24352843
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  • id: 24352844
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  • id: 24352845
    {'hecke_orbit_code': 4504630453076913, 'n': 941, 'trace_an': 0}
  • id: 24352846
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  • id: 24352847
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  • id: 24352848
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  • id: 24352849
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  • id: 24352850
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  • id: 24352851
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  • id: 24352852
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  • id: 24352853
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  • id: 24352854
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